priority areas for biodiversity conservation in tasmania · pdf file2 introduction this report...

Priority areas for biodiversity conservation in Tasmania

Nick Fitzgerald | May2016

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Contents Introduction .............................................................................................................................................2

Conservation planning and prioritisation ................................................................................................2

Landscape fragmentation ...................................................................................................................2

Connectivity ........................................................................................................................................3

Off-reserve conservation ....................................................................................................................4

Policy ...................................................................................................................................................4

Conservation planning in Tasmania ....................................................................................................4

Tasmania’s bioregions .........................................................................................................................5

Systematic Conservation Planning ..........................................................................................................6

Conservation Features ........................................................................................................................7

Vegetation Communities ................................................................................................................7

Special Elements .............................................................................................................................8

Threatened Species ........................................................................................................................9

Land Units .................................................................................................................................... 10

Target setting ................................................................................................................................... 11

Methodology ........................................................................................................................................ 11

Site Selection using Marxan ............................................................................................................. 11

Planning Units .................................................................................................................................. 12

Marxan Parameters ......................................................................................................................... 12

Conservation Features ..................................................................................................................... 13

Spatial Analysis ................................................................................................................................. 13

Scenarios .......................................................................................................................................... 14

Results .................................................................................................................................................. 15

Marxan outputs ................................................................................................................................ 15

Expansion of Existing Formal Reserves ............................................................................................ 15

Non-natural vegetation and restoration .......................................................................................... 15

Comparison of scenarios with different targets .............................................................................. 15

Identifying priority areas .................................................................................................................. 15

Connectivity, compactness and buffering ....................................................................................... 16

Wilderness areas and cultural values .............................................................................................. 16

Integrated results ............................................................................................................................. 16

References ............................................................................................................................................ 22

Appendix – List of conservation assets ................................................................................................ 26

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Introduction This report outlines a spatial analysis of conservation priorities across Tasmania. This exercise

differs from previous analyses in its coverage of the entire state, regardless of land tenure, at

a fine resolution incorporating a wide range of conservation values including landforms. For

target setting, this project considers “what nature needs” in comparison to the minimal area

targets typically used for policy and planning.

Conservation planning and prioritisation A spatially coherent conservation plan supports population dynamics, resilience and ecological

processes, and also is practical for effective land management (Williams et al. 2005). However,

spatial coherence is difficult to define and implement given the complexities and uncertainties

involved (Williams et al. 2005). Australia’s National Reserve System is based on representation

of biodiversity but does not take large scale ecological processes into account (Mackey et al.

2008).

In addition to defining conservation assets and targets, systematic conservation planning

requires explicit reserve design criteria for minimum size, connectivity and other factors

(Margules & Pressey 2000). Additional strategies such as representing geophysical diversity

(‘Nature’s Stage’ which supports the ‘Actors’, i.e. biodiversity), climatic refugia, regional

connectivity and ecological processes are necessary to provide resilience to climate change

(Soulé et al. 2004; Mackey et al. 2007; Groves et al. 2012). Spatial conservation planning in

practice involves a combination of objective methods (such as optimization using Marxan) and

subjective decisions by experts to incorporate design and socioeconomic objectives.

Landscape fragmentation One of the limitations of discrete protected areas is that they risk being ecologically isolated

with consequent decline in species and ecological processes - often with a substantial time lag,

or ‘extinction debt’ (Tilman et al. 1994). The advantages of an interconnected network of

natural environments in a partially transformed landscape are similar to those of large

uninterrupted expanses of natural land: migration of animals in response to seasons or

resource availability, improved gene flow and population viability, intergenerational migration

of plants and other less mobile species. Large intact areas have additional intrinsic ecological

values such as providing a greater diversity of vegetation types and successional stages,

natural disturbance regimes, larger and more viable populations, more rare and threatened

habitats and overall richness of species (Bennett 2003). These extensive wild areas are

irreplaceable and are a critical component of the reserve system in Tasmania.

However land clearing is concentrated in certain areas which are desirable for agriculture or

human habitation. Protection of large expanses of wilderness does not conserve the

biodiversity native to landscapes where soil and climate are suited to intensive human land

use (Klein et al. 2009). Native vegetation patches in modified landscapes are strongly

influenced by the surrounding agricultural land - the ‘matrix’. The impacts of fragmentation

can be somewhat ameliorated by management of the matrix to provide some habitat,

connectivity and buffering (Fischer et al. 2005).

Much of Tasmania’s landscape is relatively intact, with native vegetation covering 74% of the

state, but due to clearing bias one bioregion (Northern Midlands) and several catchments

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have less than 40% native vegetation (Michaels et al. 2010). Remnant vegetation in

fragmented landscapes such as the Tasmanian Midlands risks declining in isolation as a

number of factors play out, including loss of viable populations of native fauna, invasion by

weeds and lack of natural disturbance regimes.

Connectivity Connectivity in fragmented landscapes allows for normal processes of migration, dispersal and

breeding and also provides opportunities for species to respond to environmental changes. At

shorter time scales it provides a means for animals to move through the landscape in

response to fire or drought and for foraging or breeding behaviour. For both animals and

plants, connectivity helps maintain metapopulation processes such as dispersal and gene flow

which increases the viability of species. For example, linear corridors between isolated

patches of habitat do increase movement of both plants and animals (Gilbert-Norton et al.

2010).

Most studies of connectivity in Australia have focused on mammals and birds in agricultural

landscapes with remnant forest and woodland habitat (Doerr et al. 2010). In these situations,

corridors or stepping stones tend to facilitate movement and provide habitat in their own

right, with effectiveness of connectivity varying with the configuration of structural elements

(Doerr et al. 2010). Different species have widely varying requirements for connectivity and

there are few studies on non-forest habitats.

Connectivity can be difficult to measure and implement (Beier et al. 2008). Connectivity is

scale and target dependent; as such there is no simple measure of connectivity (Crooks &

Sanjayan 2006). Some species will use ‘stepping stones’ of habitat to move through the

landscape, provided the distances are not too great, others require continuous corridors.

Knowledge of the requirements of individual species is very limited. The quality of the habitat

in the native vegetation and in the matrix makes a difference. However some general

principles (Bennett 2003) provide guidance:

Habitat quality (e.g. vegetation structure, shelter, food) in linkages must be sufficient

to allow movement of species,

Habitat diversity is needed to link areas of diverse habitat,

Existing native vegetation is preferable to revegetation,

Revegetation or restoration, if necessary, should aim to replicate native vegetation,

Generally, connectivity should be oriented perpendicular to environmental gradients

to provide continuity of habitat,

Connectivity along environmental gradients, such as altitudinal sequences, is useful for

providing climate change adaptation.

Connectivity is widely regarded as an important factor in improving the resilience of natural

systems to the impacts of climate change, particularly as a precautionary approach which

provides the best opportunity for species to adapt (Bennett 2003; Dunlop & Brown 2008;

Doerr et al. 2013; Heller & Zavaleta 2009). Maintenance of all kinds of ecological movements

and flows is crucial to long-term resilience (Soule et al. 2004).

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While conservation planning generally aims for increased connectivity, potential negative

impacts need to be considered, such as allowing fire or disease or pest species to travel across

the landscape.

Off-reserve conservation Simply designating and managing protected areas is not sufficient to conserve all biodiversity.

Off-reserve conservation initiatives may be necessary to conserve rare unreserved species, or

to provide habitat and ecosystem services in largely modified lands (e.g. riparian restoration).

Maintaining options for future restoration, for example low intensity land use with remnant

habitat, provides the flexibility to adapt to future connectivity needs that are currently

unknown or uncertain (Lovejoy & Hannah 2005). Indeed, modified and unprotected lands are

fundamental to conservation of biodiversity under climate change (Lovejoy & Hannah 2005).

Policy Connectivity is endorsed by the IUCN under the Convention on Biological Diversity (CBD) as a

key strategy for nature conservation, particularly in response to climate change (Worboys et

al. 2007). The CBD recognizes landscape-scale conservation including the maintenance of

connectivity and ecological processes across protected areas and the wider landscape (Juffe-

Bignoli et al. 2014). This global vision for a protected area network is elaborated in Aichi

Target 11:

By 2020, at least 17 per cent of terrestrial and inland water areas and 10 per cent of coastal

and marine areas, especially areas of particular importance for biodiversity and ecosystem

services, are conserved through effectively and equitably managed, ecologically representative

and well-connected systems of protected areas and other effective area-based conservation

measures, and integrated into the wider landscape and seascape.

This project addresses the terrestrial aspects of Target 11, by identifying areas of under-

reserved values for potential reservation and, importantly, “other effective area-based

conservation measures”, which can include zoning under planning schemes to recognise and

manage areas of biodiversity value.

It also identifies potential restoration areas to contribute to connectivity, thereby progressing

Aichi Target 15:

By 2020, ecosystem resilience and the contribution of biodiversity to carbon stocks have been

enhanced, through conservation and restoration, including restoration of at least 15 per cent

of degraded ecosystems, thereby contributing to climate change mitigation and adaptation

and to combating desertification.

Conservation planning in Tasmania Widespread adoption of systematic approaches to conservation planning in Tasmania

occurred with the implementation of the Comprehensive, Adequate and Representative (CAR)

reserve system. The intention is to capture the full range of biodiversity, yet because

information on biodiversity is incomplete even for well-studied taxa, it is necessary to use

surrogate measures.

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Vegetation communities form the basis of Tasmania’s CAR system, because they are relatively

easily mapped and conceptually they represent habitats in terms of a range of vegetation

structure, microclimates and disturbance regimes. However vegetation communities are in

reality often not well defined and are difficult to classify and place boundaries around, even in

the limited places where it is practical to ground truth the mapping. Vegetation communities

are also dynamic, particularly when subject to human influences. Furthermore, vegetation

communities are not a comprehensive surrogate for all biodiversity (MacNally et al. 2002).

‘Adequacy’ has proved difficult to define and implement, particularly in light of a rapidly

changing environment. Long-term data and advanced modelling are needed to determine

viability of populations and ecosystems to inform the adequacy threshold (Watson et al.

2009). In the absence of this information we can consider adequacy in terms of basic

ecological principles and the precautionary principle.

Additional principles beyond CAR have been identified including efficiency, flexibility, risk

spreading, irreplaceability, connectivity and shape (Possingham et al. 2006). Essentially,

conservation planning aims to make the best use of incomplete information to determine a

configuration of protected areas and other management tools to support the full range of

biodiversity now and in the future.

Other spatial data can be used in conjunction with vegetation mapping to better capture the

biodiversity of a region. Habitat mapping for fauna can be useful but given the lack of spatial

data for most species it tends to be restricted to a small subset of the regional fauna, typically

threatened species or animals which are large, iconic or keystone species.

Another approach is to use a landscape classification which characterises the variety of

environments in the region based on physical variables such as landforms, soils, and climate.

This essentially provides another ‘filter’ to represent the variation within vegetation

communities and to capture those parts of the landscape where native vegetation has been

largely lost, since these modified or fragmented environments may be important for

preserving and restoring biodiversity. For example, the presence of threatened flora species in

the Tasmanian Midlands is most strongly related to altitude and geology (Kirkpatrick &

Gilfedder 1994).

Tasmania’s bioregions The land area of Tasmania, including offshore islands, is around 68 400 km2. This project

considers the terrestrial and freshwater environment, bounded by the mean high tide mark.

Bioregions are areas with relatively consistent flora and fauna, with boundaries defined by

zones of rapid environmental change such as elevation gradients or geological boundaries

with consequent turnover of species and communities. Bioregions across Australia,

determined and refined using species distribution records and computer modelling, are used

for conservation planning purposes, including the National Reserve System (Environment

Australia 2000; Peters & Thackway 1998). This makes more sense than using political

boundaries which have no ecological relevance.

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At the bioregional scale it is apparent that Tasmania’s reserve system is heavily biased toward

the least populated regions with limited agricultural potential such as Central Highlands, West

and Southern Ranges (Table 1).

Table 1. Reservation level of Tasmania’s nine terrestrial bioregions (from McQuillan et al.

2009).

BIOREGION

Area (ha) Dedicate

d

Multi-use Total

Reserves

%

bioregion

dedicated

reserve

%

bioregion

multi-use

reserve

%

bioregion

reserved

%

reserves

dedicated

Ben Lomond 657 051 26 682 71 568 98 250 4.1 10.9 15.0 27.2

Central

Highlands

767 336 220 490 209 120 429 610 28.7 27.3 56.0 51.3

Flinders 487 502 40 888 75 694 116 583 8.4 15.5 23.9 35.1

King 426 079 19 100 52 812 71 912 4.5 12.4 16.9 26.6

Northern

Midlands

415 109 2 660 14 851 17 511 0.6 3.6 4.2 15.2

Northern

Slopes

623 099 27 417 57 477 84 894 4.4 9.2 13.6 32.3

South East 1 098 856 67 003 62 360 129 363 6.1 5.7 11.8 51.8

Southern

Ranges

776 015 307 239 27 263 334 502 39.6 3.5 43.1 91.8

West 1 550 797 798 952 502 147 1 301 099 51.5 32.4 83.9 61.4

State Total 6 801 849 1 510 435 1 073 297 2 583 732 22.2 15.8 38.0 58.5

The Northern Midlands region has been most extensively modified, with consequent loss of

native vegetation (64% cleared or converted) and species (an estimated 12% of the indigenous

flora) and problems of remnant viability and weed invasion due to fragmentation (Fensham &

Kirkpatrick 1989; Michaels et al. 2010).

Systematic Conservation Planning The use of representation targets for conservation assets is a well-established and widely-used

basis of conservation planning, allowing objective and repeatable analysis, but best practice

requires expert knowledge to supplement and validate the results before implementing a

conservation plan (Carwardine et al. 2009). This approach requires spatial data to represent

the occurrence of conservation features and a mathematical method which attempts to find

an efficient solution to the complex problem of achieving representation of all features while

minimising the area of land or the conflict with other land uses. Since there is no single

solution to this problem (unless it is very simple and small-scale) it is a matter of optimization

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to select potential solutions. Marxan is a computer program designed to tackle this problem

by exploring multiple scenarios in order to find a near-optimum solution (Ball et al. 2009).

Marxan is used here to explore scenarios for Tasmania using multiple types of features:

Vegetation Communities

Special Elements

Focal Species

Land Units

Freshwater Values

Within each of these are multiple spatial layers, representing all of the conservation features

which together aim to capture the terrestrial biodiversity of Tasmania including both common

and threatened habitats and species.

Conservation Features Conservation ‘features’ are aspects of the natural environment that can be spatially defined

and provide a representation of the complexity and variability of natural ecosystems. They can

be mapped vegetation types, waterbodies, patches of species habitat or many other features.

The basis for the Wild Island Conservation Plan is the statewide vegetation map (Tasveg), the

Conservation of Freshwater Ecosystems Values (CFEV) project and a novel classification of

Tasmania's landscape (Land Units). Between them, these spatial datasets cover the entire

terrestrial and freshwater environment, including non-natural areas such as dams and towns.

Vegetation mapping units (Tasveg) provide a coarse filter or surrogate for biodiversity which is

consistent with existing conservation analysis and reporting (e.g. the Tasmanian Government’s

Conservation Information System). Vegetation communities are simply a way of categorising

the continuous variation in mixtures of plant species, so rather than homogeneous entities

they contain a variety of habitats occupied by different plants and animals.

In addition, other features of conservation significance are included, these are termed special

elements. These may be particular areas of native vegetation not captured in the Tasveg

classification, or known habitat for threatened animal species, or areas of biogeographic

importance such as refugia.

Vegetation Communities

Tasveg and Regional ecosystems

Vegetation communities are from Tasveg versions 2.0 and 3.0, the statewide 1:25,000 scale

vegetation map. Some Tasveg 2.0 mapping units have been discontinued in version 3.0 and

others are new. Some of these changes have been adopted and others have not depending on

whether mapping and analyses have been sufficiently revised. For example, discontinued

Tasveg 2.0 communities with recognised conservation priority have been retained consistent

with DPIPWE’s Conservation Information System and Natural Resource Planning’s APU layer.

Most of the changes between these versions of Tasveg relate to the classification of scrub

communities.

Since many communities occur widely across the state but may differ in reservation level

regionally it is useful to consider the communities at the bioregion scale rather than

statewide. This classification of bioregional occurrences of Tasveg has been termed ‘regional

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ecosystems’ (although they are mapping units rather than ecosystems in most cases).

Intersecting the 142 native vegetation communities with the nine bioregions results in 591

mapping units, after adjusting for recognized ‘fuzzy boundaries’ where a community has

distribution limits near the boundary of two bioregions (Knight 2012). Non-native vegetation

and non-vegetated mapping units from Tasveg are not included in the analysis.

Threatened Native Vegetation

The 39 threatened vegetation communities listed under the Nature Conservation Act cover

323,400 hectares with 46% in formal reserves (DPIPWE 2015). These communities are derived

from Tasveg 3.0, plus the addition of some legacy Tasveg 2.0 communities.

Special Elements

Biogeographical Features

These are biogeographical areas of importance for flora and fauna, largely derived by expert

analysis during the Regional Forest Agreement process (Tasmanian Public Land Use

Commission 1997) and subsequently incorporated into the Tasmanian Government’s

Conservation Information System. These include concentrations of endemic species, hotspots

of species richness and refugia. A newly created spatial analysis of flora species distinctiveness

is also included. Refugia are recognized as sites which are important for maintaining ecological

or evolutionary processes and biodiversity under environmental change.

Rare and unique habitats

Vegetation communities or habitat types which are rare, unique or have been heavily reduced

by land clearing are included as an additional filter, since they may not be adequately

captured by the standard analysis of vegetation communities.

Native vegetation on basalt and Native vegetation on floodplains

Basalt soils and floodplains have been preferentially targeted for conversion to agriculture

because of their high productivity (Woolley & Kirkpatrick 1999). Consequently native

vegetation from these high productivity sites has been heavily reduced and due to their

location are often outside of protected areas. One consequence of the loss of native

vegetation from high fertility lowland sites is loss and decline of associated native plants such

that threatened flora species are concentrated in the more fertile remnants (Kirkpatrick &

Gilfedder 1994).

Vegetation on ultramafic soils

Soils formed from ultramafic rocks have high levels of certain minerals and consequently often

have a unique flora which differs from surrounding vegetation and includes some rare

specialized species (Gibson et al. 1992).

Remnant rainforest

Rainforest is widespread and common in the west, far south and the north-east highlands but

is very rare on the East Coast. These small isolated remnant rainforest patches are important

refuges for rainforest species in a dry region (Neyland 1991).

Northwest coastal grasslands

Native grasslands are a relatively uncommon vegetation formation and some communities are

considered critically endangered due to historical and ongoing loss and degradation. A unique

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subset of native grasslands which are rich in specific threatened flora species occurs at a few

sites on the Tarkine coast (Schahinger 2002). While some of these grassland patches are

mapped as the nationally listed Tasmanian Lowland Grasslands, others are not.

Important Bird Areas

Important Bird Areas are sites of particular value for birds across Australia (Dutson et al.

2009). 42 IBAs are mapped in Tasmania, including sites important for forest birds, seabirds

and waders. Seabird colonies have also been mapped (in Tasveg) and are included as they are

critical breeding sites for large populations of wide ranging species.

Mature forest

Mature forest, including old growth, provides a rich variety of habitats lacking in younger

forest and consequently supports a suite of specialist species which require features such as

tree hollows or large fallen logs. Tree hollows of various sizes are used by 42 vertebrate

species in Tasmania, including 20 bird species which are reliant on hollows for breeding (Koch

et al. 2008). Mature forest has been severely depleted in many parts of Tasmania due to

logging, land clearing and changed fire regimes. Since it takes many decades for forest to

develop mature features this habitat type is not readily replaceable and therefore is a priority

for conservation. Although estimates of the abundance of tree hollows across the landscape

mapped by interpreting forest structure from aerial photography overestimate the number of

hollows suitable for fauna, this method does provide a relative measure of hollow availability

(Stojanovic et al. 2014).

Threatened Species

Species of interest for conservation planning are typically threatened species (where the aim

is to prevent extinctions), ecologically important species (those which have a large influence

on ecosystem function, such as top-order predators), focal species (well-studied species with

specific habitat requirements which act as a surrogate for habitat quality and size and hence

for co-occurring species) or dispersive species (wide-ranging or migratory species where

habitat is dispersed across landscapes and tenures). Some species fit into more than one of

these groups. Wide-ranging species often can be focal species, as a surrogate for other

species, which is somewhat effective and, given limited information, is a useful conservation

strategy (Rodrigues & Brooks 2007).

Detailed habitat mapping is available for few Tasmanian fauna species. All of the species used

in this analysis are threatened fauna species with relatively well-known habitat preferences.

Two types of species with different conservation requirements are recognized: wide-ranging

and narrow geographic range. Wide-ranging species are highly mobile, have large home

ranges or are migratory and are habitat generalists (although they may have specific breeding

habitat). It is not practical to protect all of their habitat so the priority is to protect some

habitat across their entire range and to provide sufficient breeding habitat. This group

includes several top-order predators such as the masked owl, grey goshawk and spotted-tail

quoll. Narrow geographic range species tend to be much less mobile and to have very specific

habitat requirements. It is important to protect most or all of their habitat. This group includes

several rare wet forest invertebrates.

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Habitat mapping used here is largely derived from the Tasmanian Forest Practices Authority

which has mapped several threatened species using varying combinations of categories

including known range, core range and potential range (FPA 2008).

Land Units

Land Units are a classification of the geophysical landscape based on variables which are

ecologically influential. Geology, slope position, aspect and landform all influence species

turnover and the consequent distribution of ecological communities. A conservation analysis

which captures the full range of environmental variability should include the diversity of

vegetation types and species and allow for ecological processes (Beier & Brost 2010).

Importantly, conserving the variety of Land Units provides a basis for ecological adaptation to

future change, whereas other conservation assets (species and communities) are not static

(Lawler et al. 2015).

“Conserving nature’s stage” assumes that protected areas which represent abiotic factors (or

geodiversity) will represent biodiversity regardless of climate, yet while this approach is an

effective surrogate for plant species and vegetation it has produced mixed results in

representing other biodiversity features (Beier et al. 2015). Nevertheless it has proved useful

as an additional filter in conjunction with other conservation features, ensuring abiotic

variation is captured, typically with little increase in the land area required to meet targets for

biotic features (Beier et al. 2015; Lawler et al. 2015).

Land Units provide an additional coarse filter to capture variation in the landscape which may

be neglected by broad scale vegetation mapping. For example, within a single forest type

there will be variation in understorey plants and fauna habitat from a ridge to a gully and onto

the opposite slope.

These kinds of surrogate measures are important for capturing biodiversity in a changing

environment since representation of current communities is based on the assumption that

communities are discrete entities, yet species tend to respond individualistically to climate

change with consequent formation of non-analogue communities (Hannah et al. 2002).

A commonly used and intuitive method for classifying Land Units is the “overlay method”

where several environmental variables are split into ecologically meaningful classes and

overlaid resulting in a cross-classification of all combinations of variables (Beier et al. 2015).

This method proved more successful as a biodiversity surrogate than statistical classification

approaches such as multivariate clustering in testing by Ferrier and Watson (1997). Geology is

widely used as a surrogate for soil characteristics, however soils may differ greatly within a

single bedrock type due to confounding factors (Beier & Brost 2010). In the absence of

detailed soil mapping, geological maps provide the best indication of differences in soil type.

Topographic classification tools and slope classification in ArcGIS were used to classify

landforms based on the TasDEM Digital Elevation Model, a satellite-derived elevation surface

with a spatial resolution of 1 arcsecond (approx. 27 metres).

Slopes were classified into north- or south-facing based on mean annual solar radiation

calculated in ArcGIS. Geology was classified into broad classes based on the Mineral Resources

Tasmania 1:250,000 scale geology of Tasmania. Combining four elevation classes with

landforms, geology and solar radiation yielded numerous combinations which were

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consolidated into 199 classes to represent the environments of the project area (see

Appendix).

Target setting Setting targets for reservation is problematic. Firstly, we don’t know how much nature needs.

Maintaining biodiversity means providing habitat of sufficient quality, size and connectedness

for all native species. Secondly, it is even harder to predict what nature will need in the future

with climate change and other environmental pressures (e.g. extinction debt). Thirdly, it

depends on the management of the entire landscape beyond the core protected areas.

Finally, targets are often compromised to reduce impact on human activities when what

nature needs is a more precautionary approach (e.g. in the Tasmanian RFA process;

Kirkpatrick 1998).

Australia is a signatory to the Convention on Biological Diversity including the Aichi target of

17% reservation of representative areas. However, this as a minimum target which will not be

adequate to halt the decline in global biodiversity (Larsen et al. 2014). Australia’s NRS target

of 15% is an arbitrary and minimalist figure which is inadequate for protecting biodiversity

under climate change (Mackey et al. 2008). Modelling of landscapes in south-eastern Australia

under projected climate change suggests a minimum of around 30% native vegetation cover

across whole landscapes (multiple catchments) is needed to maintain biodiversity (Doerr et al.

2013).

Three different scenarios are examined in this project: low, medium and high targets. Targets

vary between conservation features depending on their conservation priority. For non-

threatened vegetation communities the low target of 17% reflects the Aichi target, the

medium target of 30% is indicative of much of the research in landscape ecology, and the high

target of 45% is a more precautionary target to provide increased chance of persistence in the

face of unpredicted or dramatic change.

Methodology

Site Selection using Marxan Marxan requires several essential datasets. Firstly, the planning area is divided into planning

units, such as a regular grid, which determines the scale of the analysis. Secondly,

conservation features, such as vegetation communities or specific species habitat, are

mapped. Thirdly, conservation features are overlaid on the planning units to calculate the

spatial extent of each asset in each unit.

Additionally there are a number of essential and optional parameters which influence the

selection frequency and spatial arrangement of planning units in the analysis, such as site

cost, existing reservation status and boundary length.

Controlling compactness (via the boundary length modifier) allows Marxan to attain the

minimum area or cost within the constraint of achieving a compact and coherent result. With

no or minimal restriction on boundary length the Marxan algorithm will tend to select

scattered planning units with no spatial coherance, which meets the aim of satisfying

conservation targets for minimal cost but does not achieve realistic conservation goals of

identifying manageable, viable areas for conservation focus.

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Marxan selects sites with rare features since these are necessary to meet the specified

targets, such sites therefore have a high selection frequency (irreplaceability). Planning units

without rare features can also have a high selection frequency if they are critical to producing

a compact reserve design. In this way Marxan will preferentially select planning units which

fill gaps or buffer areas of high irreplaceability in order to meet targets for common

widespread features (Carwardine et al. 2007). Fragmented, isolated or irregularly shaped

patches are less likely to be selected.

Planning Units Planning units are the basis for selection of sites for each reserve design scenario. A grid of 1

km squares was created and clipped to the shape of the Tasmanian landmass. The resulting

70,107 cells ranged in size from a specified minimum 2000 m2 for fractions of grid cells, to 100

hectares for the vast majority of cells (i.e. a full 1 km square).

Planning units can be assigned a status which specifies whether they must be selected, must

not be selected or may be selected in the Marxan solution. Any planning units with greater

than half their land area mapped as an intensive land use were excluded from the Marxan

analysis since these land uses are not very compatible with conservation. Intensive land use

includes urban, industrial, utilities, transport, irrigated agriculture, perennial horticulture and

intensive agriculture. Conversely, planning units where more than half the land area is in a

formal reserve are locked into the solution since they are already devoted to conservation

and form the core areas for buffering or connecting. All planning units which are not

predominantly an intensive land use or a reserve then are available for selection by the

Marxan algorithm.

Marxan Parameters

Site Cost

Cost is represented here as the land area of each planning unit. That is, cost per hectare is

constant so as not to bias the result from the absolute priority of what nature needs. Marxan

projects sometimes incorporate a measure of the acquisition, management or opportunity

cost across different zones to understand the trade-off between conservation and competing

land uses. Cost estimates are inherently uncertain and have little influence on site selection in

areas of high or low irreplaceability, though sites with intermediate conservation value can be

sensitive to cost (Carwardine et al. 2010).

Conservation Features versus Planning Units

This matrix of conservation features by planning units provides the basis for the Marxan

analysis. The area of each conservation features within each planning unit is calculated in

ArcGIS using the Tabulate Area function.

Boundary File

This file identifies which cells have shared boundaries for the purposes of adjusting

connectivity in Marxan. It was created using the JNCC application in ArcGIS.

Species Penalty Factor

This parameter controls the penalty for any shortfalls in meeting targets for assets. This can affect both the comprehensiveness and the efficiency of Marxan results, depending on the costs and targets. For each scenario, a range of SPF values was tested (using the online cloud

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computing implementation of Marxan, marxan.io) to find an appropriate value which promotes efficient solutions with minimal shortfalls.

Conservation Features The 917 conservation features are listed in a file and each is given a target which represents

the proportion of the total extent of the feature within the project area to be conserved.

Representation targets are a useful method for conservation planning but they are often set

too low due to compromises for social or economic reasons, and it difficult to determine with

scientific validity appropriate targets in each situation, though targets should reflect

biodiversity features such as rarity, viability, distinctiveness (Carwardine et al. 2009).

Targets were assigned according to a scheme based on the relative rarity and priority of

different features, with the highest applicable score attributed to each vegetation community

(Table 2). The full list of conservation features is in the Appendix.

Table 2. Low, medium and high targets for representation of groups of features.

Conservation Feature Low target %

Medium target %

High target %

Nationally listed threatened vegetation communities 60 80 100

Endangered vegetation communities (Statewide) 60 80 100

Vulnerable vegetation communities (Statewide) 40 60 80

Rare vegetation communities (Statewide) 40 60 80

Rare and Vulnerable vegetation communities (Statewide) 70 80 90

Rare and Endangered vegetation communities (Statewide) 80 90 100

Other (non-threatened) vegetation communities (Statewide and Bioregional)

17 30 45

Critically Endangered vegetation communities (Bioregional) 80 90 100

Endangered vegetation communities (Bioregional) 60 80 100

Vulnerable vegetation communities (Bioregional) 40 60 80

Rare vegetation communities (Bioregional) 40 60 80

Special elements – vegetation communities* 20/30/60 40/55/80 60/80/100

Refugia 60 80 100

Flora distinctiveness areas* 30/60/80 55/80/90 80/100/100

Other biogeographic features 30 55 80

Threatened Fauna Habitat – wide-ranging species 20 40 60

Threatened Fauna Habitat – narrow range species 70 80 90

Important Bird Areas 30 55 80

Seabird colonies 60 80 100

Conservation of Freshwater Ecosystem Values* various various various

Land Units 10 20 30

* target depends on rarity and significance of individual assets

Spatial Analysis Marxan was operated using the Zonae Cogito software which provides a graphical user

interface and manages Marxan inputs and outputs.

Trial runs were conducted with different values for the Boundary Length Modifier (BLM), the

parameter which controls the clustering of selected cells in the reserve design output, to

determine a range of suitable BLM values (Ardron et al. 2010). Too low values result in

14

unconsolidated scattered cells that are not useful for reserve design, while if the BLM is too

high it forces the result to be excessively clustered with increased expense. After testing

numerous BLM values, a range of three reasonable values was selected based on the tradeoff

between cost and boundary length and with reference to the spatial configuration of results.

These BLM values of 0.0001, 0.001 and 0.01 were used to produce scenarios with different

levels of compactness. Each scenario was run 100 times. The best run out of each 100 was

selected as an example of a near-optimal reserve design for the given parameters. The

selection frequency for each cell (i.e. how many times it was selected in the 100 runs) also

provides a useful indication of conservation priorities, with high scoring cells likely to be

indispensable to achieving the reservation targets.

Scenarios To examine the effect of including Land Units in the spatial analysis, Marxan was run with and

without Land Units. The scenario without Land Units contained only the 718 biodiversity

assets. Each of these two scenarios was run with each of the three levels of targets (low,

medium, high), and each of these with three levels of compactness (BLM), resulting in a total

of 18 scenarios (Table 3).

Table 3. Outline of the conservation planning scenarios.

Scenario Assets Tenure Targets SPF BLM BLM

4A All Unreserved Low 10 Low 0.0001

4B All Unreserved Low 10 Medium 0.001

4C All Unreserved Low 10 High 0.01

5A All Unreserved Medium 10 Low 0.0001

5B All Unreserved Medium 10 Medium 0.001

5C All Unreserved Medium 10 High 0.01

6A All Unreserved High 10 Low 0.0001

6B All Unreserved High 10 Medium 0.001

6C All Unreserved High 10 High 0.01

10A Biodiversity (no ELUs) Unreserved Low 5 Low 0.0001

10B Biodiversity (no ELUs) Unreserved Low 5 Medium 0.001

10C Biodiversity (no ELUs) Unreserved Low 5 High 0.01

11A Biodiversity (no ELUs) Unreserved Medium 5 Low 0.0001

11B Biodiversity (no ELUs) Unreserved Medium 5 Medium 0.001

11C Biodiversity (no ELUs) Unreserved Medium 5 High 0.01

12A Biodiversity (no ELUs) Unreserved High 5 Low 0.0001

12B Biodiversity (no ELUs) Unreserved High 5 Medium 0.001

12C Biodiversity (no ELUs) Unreserved High 5 High 0.01

15

Results

Marxan outputs For each scenario, Marxan performed 100 runs. The best solution out of the 100 is the one

which achieves the conservation targets for the minimum cost (i.e. the least area) within the

constraints of the boundary length modifier. However this may be one of several almost

equally good solutions and it may not be the most feasible to implement.

A more informative output is the selection frequency (or irreplaceability), which is the

number of solutions in which each planning unit features, between 0 and 100. Areas with a

high selection frequency (close to 100) are indispensable to achieve the conservation targets,

regardless of the configuration of the solution. These are areas with unique and irreplaceable

values, or with multiple coincident values. Areas with low selection frequency have few

conservation values or have values which are more likely to be represented elsewhere (e.g.

coincident with other values, or closer to higher priority areas). These may be areas which are

included to make the result more compact by filling gaps in higher priority areas rather than

having conservation values in their own right. Areas with intermediate selection frequency

have values which occur in other places where they may be captured in other solutions, so

they are dependent on the configuration of the solution and will not always be required.

Expansion of Existing Formal Reserves Existing reserves alone do not meet most of the conservation targets, however most of the

targets could be met by some enlargement of the existing reserves. Areas adjacent to existing

reserves frequently occur in the Marxan solutions, even with relatively low clustering (i.e. low

BLM values). With increased clustering the solutions become larger in order to reduce the

boundary length to area ratio.

Non-natural vegetation and restoration Since non-natural vegetation is not a conservation target, extensive areas of agricultural land

are never selected, however some areas of non-native vegetation are selected because they

contribute to representation of certain environmental domains or to connectivity. These

areas should be considered for restoration to native vegetation or managed for both

biodiversity and production.

Comparison of scenarios with different targets Increasing representation targets naturally increases the area required to meet those targets.

For scenarios with the highest targets much of the state is identified as a priority, particularly

when the BLM is also high. Whilst these scenarios might be politically unfeasible they do

demonstrate the presence of significant conservation values across most of the state,

including in agricultural and forestry areas. Active management of these areas for

conservation as well as production may well be needed to sustain nature and ecosystem

services in the face of environmental change.

Identifying priority areas Summing the results of multiple scenarios gives a more robust result than an individual

scenario. Areas which are selected in most or all of the scenarios are clearly important

because they are essential to achieve conservation outcomes under a wide range of criteria.

16

Other areas which feature in fewer scenarios have definite conservation value but they may

be more exchangeable (in that there are alternative areas where they are also represented)

or their selection is driven more by spatial pattern (they contribute to clustering and

compactness of high priority areas).

Connectivity, compactness and buffering The influence of the Boundary Length Modifier is evident in the increasing compactness and

size of scenarios with higher BLM values when all other parameters are unchanged. The low

BLM scenarios produce results with very scattered priority areas, which become more

coherent at moderate BLM values and quite extensive at high BLMs. The medium BLM values

tend to identify priority areas which are of a manageable shape and size with a reasonable

amount of connectivity. Areas of degraded habitat or non-natural vegetation selected for

their role in improving connectivity or compactness are potential restoration zones and are

likely to be strategic zones for restoration to contribute to meeting Aichi Target 15 at a

statewide and national level.

Wilderness areas and cultural values This project focusses solely on biodiversity values, consequently it presents key priorities for

biodiversity conservation but does not consider other important values such as cultural

heritage, wilderness, aesthetic and recreational values. Land management and planning will

need to consider these and other relevant values. Wilderness values, or large intact

landscapes, are largely within existing reserves with the notable exception of parts of the

Tarkine in northwest Tasmania.

Integrated results Consolidation of the results of the various analyses provides a single map which represents a

middle of the road outcome (Figure 1. The results of any particular scenario are determined

by the particular parameters used in the Marxan analysis. Certain choices of parameters (e.g.

low versus high targets) might have a dramatic influence on the result.

Rather than simply using a scenario with intermediate targets and compactness, averaging

the results of the multiple scenarios gives a more robust outcome. In other words, a high

selection frequency across multiple scenarios indicates areas with high conservation priorities

regardless of the specific parameters used in a particular model.

The results of all 9 scenarios were combined by calculating the average selection frequency

for each planning unit across all scenarios. This was then aggregated into three classes: lower

conservation priority (selection frequency 0–30%), buffer and connectivity zones (31–70%),

and core conservation areas (71–100 %). This map provides guidance for the next step of

defining boundaries and management goals for different conservation zones based on land

tenure, natural features and other factors.

17

Figure 1. Preliminary classification of conservation zones.

18

Figure 2. Selection frequency maps for scenarios 4–6.

19

Figure 3. Best solution maps for scenarios 4–6.

20

Figure 4. Selection frequency maps for scenarios 10–12.

21

Figure 5. Best solution maps for scenarios 10–12.

22

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Appendix – List of conservation assets

Asset #

Group Sub-group Asset Name Bioregional Status (CIS)

StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high

1 Regional Ecosystems Saltmarsh and wetland (AUS) Saltmarsh (undifferntiated) - CH 9 17 30 45

2 Regional Ecosystems Saltmarsh and wetland (AUS) Saltmarsh (undifferntiated) - FL 2424 17 30 45

3 Regional Ecosystems Saltmarsh and wetland (AUS) Saltmarsh (undifferntiated) - KI 1381 17 30 45

4 Regional Ecosystems Saltmarsh and wetland (AUS) Saltmarsh (undifferntiated) - NM 513 17 30 45

5 Regional Ecosystems Saltmarsh and wetland (AUS) Saltmarsh (undifferntiated) - NS 290 17 30 45

6 Regional Ecosystems Saltmarsh and wetland (AUS) Saltmarsh (undifferntiated) - SE U 3473 17 30 45

7 Regional Ecosystems Saltmarsh and wetland (AUS) Saltmarsh (undifferntiated) - SR 338 17 30 45

8 Regional Ecosystems Saltmarsh and wetland (AUS) Saltmarsh (undifferntiated) - WSW 58 17 30 45

9 Regional Ecosystems Saltmarsh and wetland (AWU) Wetland (undifferentiated) - BL v 414 17 30 45

10 Regional Ecosystems Saltmarsh and wetland (AWU) Wetland (undifferentiated) - CH v 1332 17 30 45

11 Regional Ecosystems Saltmarsh and wetland (AWU) Wetland (undifferentiated) - FL V v 5618 40 60 80

12 Regional Ecosystems Saltmarsh and wetland (AWU) Wetland (undifferentiated) - KI V v 1588 40 60 80

13 Regional Ecosystems Saltmarsh and wetland (AWU) Wetland (undifferentiated) - NM v 776 17 30 45

14 Regional Ecosystems Saltmarsh and wetland (AWU) Wetland (undifferentiated) - NS v 57 17 30 45

15 Regional Ecosystems Saltmarsh and wetland (AWU) Wetland (undifferentiated) - SE V v 2467 40 60 80

16 Regional Ecosystems Saltmarsh and wetland (AWU) Wetland (undifferentiated) - SR V v 576 40 60 80

17 Regional Ecosystems Saltmarsh and wetland (AWU) Wetland (undifferentiated) - WSW v 74 17 30 45

18 Regional Ecosystems Dry eucalypt forest and woodland

(DAC) Eucalyptus amygdalina coastal forest and woodland - BL 49074 17 30 45


(DAC) Eucalyptus amygdalina coastal forest and woodland - FL 82789 17 30 45


(DAC) Eucalyptus amygdalina coastal forest and woodland - KI 86 17 30 45


(DAC) Eucalyptus amygdalina coastal forest and woodland - NS 7528 17 30 45


(DAC) Eucalyptus amygdalina coastal forest and woodland - SE 14041 17 30 45


(DAC) Eucalyptus amygdalina coastal forest and woodland - SR 240 17 30 45


(DAD) Eucalyptus amygdalina forest and woodland on dolerite - BL 44021 17 30 45


(DAD) Eucalyptus amygdalina forest and woodland on dolerite - CH 2089 17 30 45

27

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high


(DAD) Eucalyptus amygdalina forest and woodland on dolerite - FL 4978 17 30 45


(DAD) Eucalyptus amygdalina forest and woodland on dolerite - NM 19389 17 30 45


(DAD) Eucalyptus amygdalina forest and woodland on dolerite - NS 10799 17 30 45


(DAD) Eucalyptus amygdalina forest and woodland on dolerite - SE 82512 17 30 45


(DAD) Eucalyptus amygdalina forest and woodland on dolerite - SR 2663 17 30 45

31 Regional Ecosystems Dry eucalypt forest and woodland (DAM) Eucalyptus amygdalina forest on mudstone - BL 24878 17 30 45

32 Regional Ecosystems Dry eucalypt forest and woodland (DAM) Eucalyptus amygdalina forest on mudstone - FL 2109 17 30 45

33 Regional Ecosystems Dry eucalypt forest and woodland (DAM) Eucalyptus amygdalina forest on mudstone - NM 4379 17 30 45

34 Regional Ecosystems Dry eucalypt forest and woodland (DAM) Eucalyptus amygdalina forest on mudstone - NS 3806 17 30 45

35 Regional Ecosystems Dry eucalypt forest and woodland (DAM) Eucalyptus amygdalina forest on mudstone - SE 5967 17 30 45

36 Regional Ecosystems Dry eucalypt forest and woodland (DAM) Eucalyptus amygdalina forest on mudstone - SR 242 17 30 45


(DAS) Eucalyptus amygdalina forest and woodland on sandstone - BL v 2253 17 30 45


(DAS) Eucalyptus amygdalina forest and woodland on sandstone - FL v 80 17 30 45


(DAS) Eucalyptus amygdalina forest and woodland on sandstone - NM V v 2267 40 60 80


(DAS) Eucalyptus amygdalina forest and woodland on sandstone - NS V v 9227 40 60 80


(DAS) Eucalyptus amygdalina forest and woodland on sandstone - SE V v 28160 40 60 80


(DAS) Eucalyptus amygdalina forest and woodland on sandstone - SR v 887 17 30 45


(DAZ) Eucalyptus amygdalina inland forest and woodland on Cainozoic deposits - BL v 809 17 30 45


(DAZ) Eucalyptus amygdalina inland forest and woodland on Cainozoic deposits - NM V v 21085 40 60 80


(DAZ) Eucalyptus amygdalina inland forest and woodland on Cainozoic deposits - NS V v 2081 40 60 80


(DAZ) Eucalyptus amygdalina inland forest and woodland on Cainozoic deposits - SE v 1192 17 30 45

47 Regional Ecosystems Dry eucalypt forest and woodland (DBA) Eucalyptus barberi forest and woodland - SE 92 17 30 45

48 Regional Ecosystems Dry eucalypt forest and woodland (DCO) Eucalyptus coccifera forest and woodland - BL 1179 17 30 45

49 Regional Ecosystems Dry eucalypt forest and woodland (DCO) Eucalyptus coccifera forest and woodland - CH 94011 17 30 45

50 Regional Ecosystems Dry eucalypt forest and woodland (DCO) Eucalyptus coccifera forest and woodland - SE 384 17 30 45

51 Regional Ecosystems Dry eucalypt forest and woodland (DCO) Eucalyptus coccifera forest and woodland - SR 21481 17 30 45

52 Regional Ecosystems Dry eucalypt forest and woodland (DCO) Eucalyptus coccifera forest and woodland - WSW 1183 17 30 45

28

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high

53 Regional Ecosystems Dry eucalypt forest and woodland (DCR) Eucalyptus cordata forest - SE 5 17 30 45

54 Regional Ecosystems Dry eucalypt forest and woodland (DCR) Eucalyptus cordata forest - SR 40 17 30 45


(DDE) Eucalyptus delegatensis dry forest and woodland - BL 50387 17 30 45


(DDE) Eucalyptus delegatensis dry forest and woodland - CH 119169 17 30 45


(DDE) Eucalyptus delegatensis dry forest and woodland - NM 6 17 30 45


(DDE) Eucalyptus delegatensis dry forest and woodland - NS 9031 17 30 45


(DDE) Eucalyptus delegatensis dry forest and woodland - SE 56973 17 30 45


(DDE) Eucalyptus delegatensis dry forest and woodland - SR 42294 17 30 45


(DDE) Eucalyptus delegatensis dry forest and woodland - WSW 1508 17 30 45


(DDP) Eucalyptus dalrympleana - Eucalyptus pauciflora forest and woodland - BL 1261 17 30 45


(DDP) Eucalyptus dalrympleana - Eucalyptus pauciflora forest and woodland - CH 1445 17 30 45


(DDP) Eucalyptus dalrympleana - Eucalyptus pauciflora forest and woodland - NM 12 17 30 45


(DDP) Eucalyptus dalrympleana - Eucalyptus pauciflora forest and woodland - SE 190 17 30 45


(DDP) Eucalyptus dalrympleana - Eucalyptus pauciflora forest and woodland - SR 4063 17 30 45

67 Regional Ecosystems Dry eucalypt forest and woodland (DGL) Eucalyptus globulus dry forest and woodland - BL v 247 17 30 45

68 Regional Ecosystems Dry eucalypt forest and woodland (DGL) Eucalyptus globulus dry forest and woodland - FL v 1006 17 30 45

69 Regional Ecosystems Dry eucalypt forest and woodland (DGL) Eucalyptus globulus dry forest and woodland - SE V v 24810 40 60 80

70 Regional Ecosystems Dry eucalypt forest and woodland (DGL) Eucalyptus globulus dry forest and woodland - SR V v 720 40 60 80

71 Regional Ecosystems Dry eucalypt forest and woodland (DGW) Eucalyptus gunnii woodland - BL 37 17 30 45

72 Regional Ecosystems Dry eucalypt forest and woodland (DGW) Eucalyptus gunnii woodland - CH 2047 17 30 45

73 Regional Ecosystems Dry eucalypt forest and woodland (DGW) Eucalyptus gunnii woodland - SR 137 17 30 45

74 Regional Ecosystems Dry eucalypt forest and woodland (DKW) King Island Eucalypt woodland - KI R,E 329 60 80 100

75 Regional Ecosystems Dry eucalypt forest and woodland (DMO) Eucalyptus morrisbyi forest and woodland - SE R,E r,e 5 60 80 100

76 Regional Ecosystems Dry eucalypt forest and woodland (DNF) Eucalyptus nitida Furneaux forest - FL 9780 17 30 45

77 Regional Ecosystems Dry eucalypt forest and woodland (DNI) Eucalyptus nitida dry forest and woodland - CH 3262 17 30 45

78 Regional Ecosystems Dry eucalypt forest and woodland (DNI) Eucalyptus nitida dry forest and woodland - KI 13263 17 30 45

79 Regional Ecosystems Dry eucalypt forest and woodland (DNI) Eucalyptus nitida dry forest and woodland - NS 3119 17 30 45

80 Regional Ecosystems Dry eucalypt forest and woodland (DNI) Eucalyptus nitida dry forest and woodland - SE 5 17 30 45

81 Regional Ecosystems Dry eucalypt forest and woodland (DNI) Eucalyptus nitida dry forest and woodland - SR 9490 17 30 45

29

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high

82 Regional Ecosystems Dry eucalypt forest and woodland (DNI) Eucalyptus nitida dry forest and woodland - WSW 23118 17 30 45

83 Regional Ecosystems Dry eucalypt forest and woodland (DOB) Eucalyptus obliqua dry forest - BL 28497 17 30 45

84 Regional Ecosystems Dry eucalypt forest and woodland (DOB) Eucalyptus obliqua dry forest - FL 6018 17 30 45

85 Regional Ecosystems Dry eucalypt forest and woodland (DOB) Eucalyptus obliqua dry forest - KI 9048 17 30 45

86 Regional Ecosystems Dry eucalypt forest and woodland (DOB) Eucalyptus obliqua dry forest - NM 84 17 30 45

87 Regional Ecosystems Dry eucalypt forest and woodland (DOB) Eucalyptus obliqua dry forest - NS 32754 17 30 45

88 Regional Ecosystems Dry eucalypt forest and woodland (DOB) Eucalyptus obliqua dry forest - SE 52370 17 30 45

89 Regional Ecosystems Dry eucalypt forest and woodland (DOB) Eucalyptus obliqua dry forest - SR 37921 17 30 45

90 Regional Ecosystems Dry eucalypt forest and woodland (DOB) Eucalyptus obliqua dry forest - WSW 10772 17 30 45

91 Regional Ecosystems Dry eucalypt forest and woodland (DOV) Eucalyptus ovata forest and woodland - BL E e 2698 60 80 100

92 Regional Ecosystems Dry eucalypt forest and woodland (DOV) Eucalyptus ovata forest and woodland - FL E e 1270 60 80 100

93 Regional Ecosystems Dry eucalypt forest and woodland (DOV) Eucalyptus ovata forest and woodland - KI E e 1172 60 80 100

94 Regional Ecosystems Dry eucalypt forest and woodland (DOV) Eucalyptus ovata forest and woodland - NM E e 2241 60 80 100

95 Regional Ecosystems Dry eucalypt forest and woodland (DOV) Eucalyptus ovata forest and woodland - NS E e 3952 60 80 100

96 Regional Ecosystems Dry eucalypt forest and woodland (DOV) Eucalyptus ovata forest and woodland - SE E e 4279 60 80 100

97 Regional Ecosystems Dry eucalypt forest and woodland (DOV) Eucalyptus ovata forest and woodland - SR E e 1685 60 80 100

98 Regional Ecosystems Dry eucalypt forest and woodland (DOV) Eucalyptus ovata forest and woodland - WSW e 538 17 30 45


(DPD) Eucalyptus pauciflora forest and woodland on dolerite - BL 145 17 30 45


(DPD) Eucalyptus pauciflora forest and woodland on dolerite - CH 18662 17 30 45


(DPD) Eucalyptus pauciflora forest and woodland on dolerite - NM 661 17 30 45


(DPD) Eucalyptus pauciflora forest and woodland on dolerite - NS 20 17 30 45


(DPD) Eucalyptus pauciflora forest and woodland on dolerite - SE 5341 17 30 45


(DPD) Eucalyptus pauciflora forest and woodland on dolerite - SR 11030 17 30 45

105 Regional Ecosystems Dry eucalypt forest and woodland (DPE) Eucalyptus perriniana forest and woodland - SE 7 17 30 45


(DPO) Eucalyptus pauciflora forest and woodland not on dolerite - BL 1034 17 30 45


(DPO) Eucalyptus pauciflora forest and woodland not on dolerite - CH 1628 17 30 45


(DPO) Eucalyptus pauciflora forest and woodland not on dolerite - FL 29 17 30 45


(DPO) Eucalyptus pauciflora forest and woodland not on dolerite - NM 347 17 30 45


(DPO) Eucalyptus pauciflora forest and woodland not on dolerite - NS 8 17 30 45

111 Regional Ecosystems Dry eucalypt forest and woodland (DPO) Eucalyptus pauciflora forest and woodland not on 5351 17 30 45

30

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high

dolerite - SE


(DPO) Eucalyptus pauciflora forest and woodland not on dolerite - SR 612 17 30 45

113 Regional Ecosystems Dry eucalypt forest and woodland (DPU) Eucalyptus pulchella forest and woodland - BL 160 17 30 45

114 Regional Ecosystems Dry eucalypt forest and woodland (DPU) Eucalyptus pulchella forest and woodland - SE 130739 17 30 45

115 Regional Ecosystems Dry eucalypt forest and woodland (DPU) Eucalyptus pulchella forest and woodland - SR 8416 17 30 45

116 Regional Ecosystems Dry eucalypt forest and woodland (DRI) Eucalyptus risdonii forest and woodland - SE R r 795 40 60 80

117 Regional Ecosystems Dry eucalypt forest and woodland (DRO) Eucalyptus rodwayi forest and woodland - BL 1717 17 30 45

118 Regional Ecosystems Dry eucalypt forest and woodland (DRO) Eucalyptus rodwayi forest and woodland - CH 5490 17 30 45

119 Regional Ecosystems Dry eucalypt forest and woodland (DRO) Eucalyptus rodwayi forest and woodland - NM 641 17 30 45

120 Regional Ecosystems Dry eucalypt forest and woodland (DRO) Eucalyptus rodwayi forest and woodland - NS 163 17 30 45

121 Regional Ecosystems Dry eucalypt forest and woodland (DRO) Eucalyptus rodwayi forest and woodland - SE 3298 17 30 45

122 Regional Ecosystems Dry eucalypt forest and woodland (DRO) Eucalyptus rodwayi forest and woodland - SR 2019 17 30 45


(DSC) Eucalyptus amygdalina - Eucalyptus obliqua damp sclerophyll forest - BL 11248 17 30 45


(DSC) Eucalyptus amygdalina - Eucalyptus obliqua damp sclerophyll forest - FL 1013 17 30 45


(DSC) Eucalyptus amygdalina - Eucalyptus obliqua damp sclerophyll forest - NM 524 17 30 45


(DSC) Eucalyptus amygdalina - Eucalyptus obliqua damp sclerophyll forest - NS 36944 17 30 45


(DSC) Eucalyptus amygdalina - Eucalyptus obliqua damp sclerophyll forest - SE 124 17 30 45


(DSG) Eucalyptus sieberi forest and woodland on granite - BL 18303 17 30 45


(DSG) Eucalyptus sieberi forest and woodland on granite - FL 7984 17 30 45


(DSG) Eucalyptus sieberi forest and woodland on granite - SE 415 17 30 45


(DSO) Eucalyptus sieberi forest and woodland not on granite - BL 23374 17 30 45


(DSO) Eucalyptus sieberi forest and woodland not on granite - FL 10478 17 30 45


(DSO) Eucalyptus sieberi forest and woodland not on granite - SE 1415 17 30 45


(DTD) Eucalyptus tenuiramis forest and woodland on dolerite - SE 10871 17 30 45


(DTD) Eucalyptus tenuiramis forest and woodland on dolerite - SR 389 17 30 45


(DTG) Eucalyptus tenuiramis forest and woodland on granite - SE 3587 17 30 45


(DTO) Eucalyptus tenuiramis forest and woodland on sediments - SE V v 47324 40 60 80

31

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high


(DTO) Eucalyptus tenuiramis forest and woodland on sediments - SR v 413 17 30 45


(DTO) Eucalyptus tenuiramis forest and woodland on sediments - WSW v 294 17 30 45


(DVC) Eucalyptus viminalis - Eucalyptus globulus coastal forest and woodland - FL R,V r,v 1432 40 60 80


(DVC) Eucalyptus viminalis - Eucalyptus globulus coastal forest and woodland - KI R,V r,v 366 40 60 80


(DVC) Eucalyptus viminalis - Eucalyptus globulus coastal forest and woodland - NS r,v 33 17 30 45


(DVC) Eucalyptus viminalis - Eucalyptus globulus coastal forest and woodland - SE R,V r,v 1109 40 60 80


(DVC) Eucalyptus viminalis - Eucalyptus globulus coastal forest and woodland - SR r,v 3 17 30 45


(DVC) Eucalyptus viminalis - Eucalyptus globulus coastal forest and woodland - WSW r,v 52 17 30 45


(DVF) Eucalyptus viminalis Furneaux forest and woodland - FL R,E r,e 960 60 80 100


(DVG) Eucalyptus viminalis grassy forest and woodland - BL 13546 17 30 45


(DVG) Eucalyptus viminalis grassy forest and woodland - FL 415 17 30 45


(DVG) Eucalyptus viminalis grassy forest and woodland - KI 650 17 30 45


(DVG) Eucalyptus viminalis grassy forest and woodland - NM 27397 17 30 45


(DVG) Eucalyptus viminalis grassy forest and woodland - NS 1010 17 30 45


(DVG) Eucalyptus viminalis grassy forest and woodland - SE 66270 17 30 45


(DVG) Eucalyptus viminalis grassy forest and woodland - SR 241 17 30 45

154 Regional Ecosystems Native grassland (GCL) Lowland grassland complex - BL U 6184 17 30 45

155 Regional Ecosystems Native grassland (GCL) Lowland grassland complex - CH 837 17 30 45

156 Regional Ecosystems Native grassland (GCL) Lowland grassland complex - FL 1500 17 30 45

157 Regional Ecosystems Native grassland (GCL) Lowland grassland complex - KI 40 17 30 45

158 Regional Ecosystems Native grassland (GCL) Lowland grassland complex - NM 23203 17 30 45

159 Regional Ecosystems Native grassland (GCL) Lowland grassland complex - NS 1140 17 30 45

160 Regional Ecosystems Native grassland (GCL) Lowland grassland complex - SE 52995 17 30 45

161 Regional Ecosystems Native grassland (GCL) Lowland grassland complex - SR 1332 17 30 45

162 Regional Ecosystems Native grassland (GCL) Lowland grassland complex - WSW 2 17 30 45

163 Regional Ecosystems Native grassland (GCL) Lowland grassland complex - CH 7 17 30 45

164 Regional Ecosystems Native grassland (GHC) Coastal grass and herbfield - FL 7428 17 30 45

32

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high

165 Regional Ecosystems Native grassland (GHC) Coastal grass and herbfield - KI 2974 17 30 45

166 Regional Ecosystems Native grassland (GHC) Coastal grass and herbfield - SE 231 17 30 45

167 Regional Ecosystems Native grassland (GHC) Coastal grass and herbfield - SR 88 17 30 45

168 Regional Ecosystems Native grassland (GHC) Coastal grass and herbfield - WSW 524 17 30 45

169 Regional Ecosystems Native grassland (GPH) Highland Poa grassland - BL r,e 997 17 30 45

170 Regional Ecosystems Native grassland (GPH) Highland Poa grassland - CH R,E r,e 21548 60 80 100

171 Regional Ecosystems Native grassland (GPH) Highland Poa grassland - SE r,e 717 17 30 45

172 Regional Ecosystems Native grassland (GPH) Highland Poa grassland - SR r,e 964 17 30 45

173 Regional Ecosystems Native grassland (GPH) Highland Poa grassland - WSW r,e 49 17 30 45

174 Regional Ecosystems Native grassland (GPL) Lowland Poa labillardierei grassland - BL CR CR 452 80 90 100

175 Regional Ecosystems Native grassland (GPL) Lowland Poa labillardierei grassland - CH CR 2 17 30 45

176 Regional Ecosystems Native grassland (GPL) Lowland Poa labillardierei grassland - FL CR 220 17 30 45

177 Regional Ecosystems Native grassland (GPL) Lowland Poa labillardierei grassland - KI 1 17 30 45

178 Regional Ecosystems Native grassland (GPL) Lowland Poa labillardierei grassland - NM CR CR 5725 80 90 100

179 Regional Ecosystems Native grassland (GPL) Lowland Poa labillardierei grassland - NS CR 119 17 30 45

180 Regional Ecosystems Native grassland (GPL) Lowland Poa labillardierei grassland - SE CR CR 11049 80 90 100

181 Regional Ecosystems Native grassland (GRP) Rockplate grassland - SE 19 17 30 45

182 Regional Ecosystems Native grassland (GSL) Lowland grassy sedgeland - BL 704 17 30 45

183 Regional Ecosystems Native grassland (GSL) Lowland grassy sedgeland - CH 79 17 30 45

184 Regional Ecosystems Native grassland (GSL) Lowland grassy sedgeland - FL 171 17 30 45

185 Regional Ecosystems Native grassland (GSL) Lowland grassy sedgeland - KI 34 17 30 45

186 Regional Ecosystems Native grassland (GSL) Lowland grassy sedgeland - NM 484 17 30 45

187 Regional Ecosystems Native grassland (GSL) Lowland grassy sedgeland - NS 96 17 30 45

188 Regional Ecosystems Native grassland (GSL) Lowland grassy sedgeland - SE 3230 17 30 45

189 Regional Ecosystems Native grassland (GSL) Lowland grassy sedgeland - SR 97 17 30 45

190 Regional Ecosystems Native grassland (GTL) Lowland Themeda triandra grassland - BL CR CR 102 80 90 100

191 Regional Ecosystems Native grassland (GTL) Lowland Themeda triandra grassland - FL 59 17 30 45

192 Regional Ecosystems Native grassland (GTL) Lowland Themeda triandra grassland - KI CR 17 17 30 45

193 Regional Ecosystems Native grassland (GTL) Lowland Themeda triandra grassland - NM CR CR 4932 80 90 100

194 Regional Ecosystems Native grassland (GTL) Lowland Themeda triandra grassland - NS 1 17 30 45

195 Regional Ecosystems Native grassland (GTL) Lowland Themeda triandra grassland - SE CR CR 2712 80 90 100

196 Regional Ecosystems Native grassland (GTL) Lowland Themeda triandra grassland - SR CR 11 17 30 45

197 Regional Ecosystems Native grassland (GTL) Lowland Themeda triandra grassland - WSW CR 8 17 30 45

198 Regional Ecosystems Highland and treeless vegetation (HCH) Alpine coniferous heathland - CH 5397 17 30 45

199 Regional Ecosystems Highland and treeless vegetation (HCH) Alpine coniferous heathland - SR 560 17 30 45

33

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high

200 Regional Ecosystems Highland and treeless vegetation (HCH) Alpine coniferous heathland - WSW 248 17 30 45

201 Regional Ecosystems Highland and treeless vegetation (HCM) Cushion moorland - BL r 106 17 30 45

202 Regional Ecosystems Highland and treeless vegetation (HCM) Cushion moorland - CH r 664 17 30 45

203 Regional Ecosystems Highland and treeless vegetation (HCM) Cushion moorland - SR r 1858 17 30 45

204 Regional Ecosystems Highland and treeless vegetation (HCM) Cushion moorland - WSW r 538 17 30 45

205 Regional Ecosystems Highland and treeless vegetation (HHE) Eastern alpine heathland - BL 4606 17 30 45

206 Regional Ecosystems Highland and treeless vegetation (HHE) Eastern alpine heathland - CH 43622 17 30 45

207 Regional Ecosystems Highland and treeless vegetation (HHE) Eastern alpine heathland - SR 4034 17 30 45

208 Regional Ecosystems Highland and treeless vegetation (HHE) Eastern alpine heathland - WSW 1810 17 30 45

209 Regional Ecosystems Highland and treeless vegetation (HHW) Western alpine heathland - CH 1270 17 30 45

210 Regional Ecosystems Highland and treeless vegetation (HHW) Western alpine heathland - SR 237 17 30 45

211 Regional Ecosystems Highland and treeless vegetation (HHW) Western alpine heathland - WSW 1784 17 30 45

212 Regional Ecosystems Highland and treeless vegetation (HSE) Eastern alpine sedgeland - BL 1879 17 30 45

213 Regional Ecosystems Highland and treeless vegetation (HSE) Eastern alpine sedgeland - CH 26506 17 30 45

214 Regional Ecosystems Highland and treeless vegetation (HSE) Eastern alpine sedgeland - NS 15 17 30 45

215 Regional Ecosystems Highland and treeless vegetation (HSE) Eastern alpine sedgeland - SR 3522 17 30 45

216 Regional Ecosystems Highland and treeless vegetation (HSE) Eastern alpine sedgeland - WSW 94 17 30 45

217 Regional Ecosystems Highland and treeless vegetation (HSW) Western alpine sedgeland/herbland - BL 9 17 30 45

218 Regional Ecosystems Highland and treeless vegetation (HSW) Western alpine sedgeland/herbland - CH 2515 17 30 45

219 Regional Ecosystems Highland and treeless vegetation (HSW) Western alpine sedgeland/herbland - SR 1171 17 30 45

220 Regional Ecosystems Highland and treeless vegetation (HSW) Western alpine sedgeland/herbland - WSW 3392 17 30 45

221 Regional Ecosystems Highland and treeless vegetation (HUE) Eastern alpine vegetation (undifferentiated) - BL 47 17 30 45

222 Regional Ecosystems Highland and treeless vegetation (HUE) Eastern alpine vegetation (undifferentiated) - CH 1664 17 30 45

223 Regional Ecosystems Highland and treeless vegetation (HUE) Eastern alpine vegetation (undifferentiated) - SR 669 17 30 45

224 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MAP) Alkaline pans - BL 1 17 30 45

225 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MAP) Alkaline pans - SR r 3 17 30 45

226 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MAP) Alkaline pans - WSW r 591 17 30 45

227 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBE) Eastern buttongrass moorland - BL 3578 17 30 45

228 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBE) Eastern buttongrass moorland - CH 11099 17 30 45

229 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBE) Eastern buttongrass moorland - FL 34 17 30 45

230 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBE) Eastern buttongrass moorland - KI 80 17 30 45

231 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBE) Eastern buttongrass moorland - NS 1 17 30 45

232 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBE) Eastern buttongrass moorland - SR 7195 17 30 45

233 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBE) Eastern buttongrass moorland - WSW 2942 17 30 45

234 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBP) Pure buttongrass moorland - CH 333 17 30 45

34

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high

235 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBP) Pure buttongrass moorland - SR 2423 17 30 45

236 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBP) Pure buttongrass moorland - WSW 1409 17 30 45

237 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBR) Sparse buttongrass moorland on slopes - BL 5 17 30 45

238 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBR) Sparse buttongrass moorland on slopes - CH 328 17 30 45

239 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBR) Sparse buttongrass moorland on slopes - SR 2219 17 30 45

240 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBR) Sparse buttongrass moorland on slopes - WSW 139921 17 30 45

241 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBS) Buttongrass moorland with emergent shrubs - BL 1339 17 30 45

242 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBS) Buttongrass moorland with emergent shrubs - CH 6125 17 30 45

243 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBS) Buttongrass moorland with emergent shrubs - KI 271 17 30 45

244 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBS) Buttongrass moorland with emergent shrubs - SR 9278 17 30 45

245 Regional Ecosystems Moorland, sedgeland, rushland and peatland

(MBS) Buttongrass moorland with emergent shrubs - WSW 70273 17 30 45

246 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBU) Buttongrass moorland (undifferentiated) - CH 4555 17 30 45

247 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBU) Buttongrass moorland (undifferentiated) - FL 167 17 30 45

248 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBU) Buttongrass moorland (undifferentiated) - KI 15151 17 30 45

249 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBU) Buttongrass moorland (undifferentiated) - NS 2411 17 30 45

250 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBU) Buttongrass moorland (undifferentiated) - SE 60 17 30 45

251 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBU) Buttongrass moorland (undifferentiated) - SR 5157 17 30 45

252 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBU) Buttongrass moorland (undifferentiated) - WSW 93233 17 30 45

253 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBW) Western buttongrass moorland - CH 7577 17 30 45

254 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBW) Western buttongrass moorland - KI 4 17 30 45

255 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBW) Western buttongrass moorland - SR 7285 17 30 45

256 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MBW) Western buttongrass moorland - WSW 96952 17 30 45

257 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MDS) Subalpine Diplarrena latifolia rushland - CH R r 427 40 60 80

258 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MDS) Subalpine Diplarrena latifolia rushland - FL 91 17 30 45

259 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MDS) Subalpine Diplarrena latifolia rushland - NS R r 98 40 60 80

260 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MDS) Subalpine Diplarrena latifolia rushland - SR R r 350 40 60 80

261 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MDS) Subalpine Diplarrena latifolia rushland - WSW r 12 17 30 45

262 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MGH) Highland grassy sedgeland - BL r 131 17 30 45

263 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MGH) Highland grassy sedgeland - CH R r 17298 40 60 80

264 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MGH) Highland grassy sedgeland - SR R r 2480 40 60 80

265 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MRR) Restionaceae rushland - BL 15 17 30 45

266 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MRR) Restionaceae rushland - CH 2147 17 30 45

267 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MRR) Restionaceae rushland - FL 2 17 30 45

268 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MRR) Restionaceae rushland - KI 47 17 30 45

269 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MRR) Restionaceae rushland - NS 527 17 30 45

35

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high

270 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MRR) Restionaceae rushland - SE 63 17 30 45

271 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MRR) Restionaceae rushland - SR 3432 17 30 45

272 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MRR) Restionaceae rushland - WSW 3670 17 30 45

273 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MSP) Sphagnum peatland - BL r E 23 17 30 45

274 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MSP) Sphagnum peatland - CH R r E 2699 40 60 80

275 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MSP) Sphagnum peatland - NS r E 57 17 30 45

276 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MSP) Sphagnum peatland - SR R r E 341 40 60 80

277 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MSP) Sphagnum peatland - WSW r E 1 17 30 45

278 Regional Ecosystems Moorland, sedgeland, rushland and peatland (MSW) Western lowland sedgeland - WSW 53576 17 30 45

279 Regional Ecosystems Non eucalypt forest and woodland (NAD) Acacia dealbata forest - BL 10377 17 30 45

280 Regional Ecosystems Non eucalypt forest and woodland (NAD) Acacia dealbata forest - CH 3613 17 30 45

281 Regional Ecosystems Non eucalypt forest and woodland (NAD) Acacia dealbata forest - FL 186 17 30 45

282 Regional Ecosystems Non eucalypt forest and woodland (NAD) Acacia dealbata forest - KI 29 17 30 45

283 Regional Ecosystems Non eucalypt forest and woodland (NAD) Acacia dealbata forest - NM 173 17 30 45

284 Regional Ecosystems Non eucalypt forest and woodland (NAD) Acacia dealbata forest - NS 19345 17 30 45

285 Regional Ecosystems Non eucalypt forest and woodland (NAD) Acacia dealbata forest - SE 1922 17 30 45

286 Regional Ecosystems Non eucalypt forest and woodland (NAD) Acacia dealbata forest - SR 4668 17 30 45

287 Regional Ecosystems Non eucalypt forest and woodland (NAD) Acacia dealbata forest - WSW 883 17 30 45

288 Regional Ecosystems Non eucalypt forest and woodland (NAF) Acacia melanoxylon swamp forest - BL 501 17 30 45

289 Regional Ecosystems Non eucalypt forest and woodland (NAF) Acacia melanoxylon swamp forest - FL 372 17 30 45

290 Regional Ecosystems Non eucalypt forest and woodland (NAF) Acacia melanoxylon swamp forest - KI 8647 17 30 45

291 Regional Ecosystems Non eucalypt forest and woodland (NAF) Acacia melanoxylon swamp forest - NM 21 17 30 45

292 Regional Ecosystems Non eucalypt forest and woodland (NAF) Acacia melanoxylon swamp forest - NS 78 17 30 45

293 Regional Ecosystems Non eucalypt forest and woodland (NAF) Acacia melanoxylon swamp forest - SE 15 17 30 45

294 Regional Ecosystems Non eucalypt forest and woodland (NAF) Acacia melanoxylon swamp forest - SR 12 17 30 45

295 Regional Ecosystems Non eucalypt forest and woodland (NAF) Acacia melanoxylon swamp forest - WSW 1053 17 30 45

296 Regional Ecosystems Non eucalypt forest and woodland (NAL) Allocasuarina littoralis forest - BL R r 213 40 60 80

297 Regional Ecosystems Non eucalypt forest and woodland (NAL) Allocasuarina littoralis forest - FL R r 672 40 60 80

298 Regional Ecosystems Non eucalypt forest and woodland (NAL) Allocasuarina littoralis forest - NM R, U r 137 40 60 80

299 Regional Ecosystems Non eucalypt forest and woodland (NAL) Allocasuarina littoralis forest - SE R r 474 40 60 80

300 Regional Ecosystems Non eucalypt forest and woodland (NAR) Acacia melanoxylon forest on rises - BL 328 17 30 45

301 Regional Ecosystems Non eucalypt forest and woodland (NAR) Acacia melanoxylon forest on rises - CH 2407 17 30 45

302 Regional Ecosystems Non eucalypt forest and woodland (NAR) Acacia melanoxylon forest on rises - KI 4683 17 30 45

303 Regional Ecosystems Non eucalypt forest and woodland (NAR) Acacia melanoxylon forest on rises - NS 5054 17 30 45

304 Regional Ecosystems Non eucalypt forest and woodland (NAR) Acacia melanoxylon forest on rises - SE 2 17 30 45

36

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high

305 Regional Ecosystems Non eucalypt forest and woodland (NAR) Acacia melanoxylon forest on rises - SR 47 17 30 45

306 Regional Ecosystems Non eucalypt forest and woodland (NAR) Acacia melanoxylon forest on rises - WSW 6511 17 30 45

307 Regional Ecosystems Non eucalypt forest and woodland (NAV) Allocasuarina verticillata forest - BL 705 17 30 45

308 Regional Ecosystems Non eucalypt forest and woodland (NAV) Allocasuarina verticillata forest - FL 14151 17 30 45

309 Regional Ecosystems Non eucalypt forest and woodland (NAV) Allocasuarina verticillata forest - NM 157 17 30 45

310 Regional Ecosystems Non eucalypt forest and woodland (NAV) Allocasuarina verticillata forest - NS 2 17 30 45

311 Regional Ecosystems Non eucalypt forest and woodland (NAV) Allocasuarina verticillata forest - SE 2159 17 30 45

312 Regional Ecosystems Non eucalypt forest and woodland (NAV) Allocasuarina verticillata forest - SR 99 17 30 45

313 Regional Ecosystems Non eucalypt forest and woodland (NBA) Bursaria - Acacia woodland and scrub - BL 4568 17 30 45

314 Regional Ecosystems Non eucalypt forest and woodland (NBA) Bursaria - Acacia woodland and scrub - CH 82 17 30 45

315 Regional Ecosystems Non eucalypt forest and woodland (NBA) Bursaria - Acacia woodland and scrub - FL 893 17 30 45

316 Regional Ecosystems Non eucalypt forest and woodland (NBA) Bursaria - Acacia woodland and scrub - KI 3 17 30 45

317 Regional Ecosystems Non eucalypt forest and woodland (NBA) Bursaria - Acacia woodland and scrub - NM 3233 17 30 45

318 Regional Ecosystems Non eucalypt forest and woodland (NBA) Bursaria - Acacia woodland and scrub - NS 455 17 30 45

319 Regional Ecosystems Non eucalypt forest and woodland (NBA) Bursaria - Acacia woodland and scrub - SE 10946 17 30 45

320 Regional Ecosystems Non eucalypt forest and woodland (NBA) Bursaria - Acacia woodland and scrub - SR 105 17 30 45

321 Regional Ecosystems Non eucalypt forest and woodland (NBA) Bursaria - Acacia woodland and scrub - WSW 2 17 30 45

322 Regional Ecosystems Non eucalypt forest and woodland (NBS) Banksia serrata woodland - FL r,e 11 17 30 45

323 Regional Ecosystems Non eucalypt forest and woodland (NBS) Banksia serrata woodland - KI R,E r,e 174 60 80 100

324 Regional Ecosystems Non eucalypt forest and woodland (NCR) Callitris rhomboidea forest - FL R r 164 40 60 80

325 Regional Ecosystems Non eucalypt forest and woodland (NCR) Callitris rhomboidea forest - SE R r 650 40 60 80

326 Regional Ecosystems Non eucalypt forest and woodland

(NLA) Leptospermum scoparium - Acacia mucronata forest - BL 112 17 30 45


(NLA) Leptospermum scoparium - Acacia mucronata forest - CH 2529 17 30 45


(NLA) Leptospermum scoparium - Acacia mucronata forest - WSW 12487 17 30 45

329 Regional Ecosystems Non eucalypt forest and woodland (NLE) Leptospermum forest - BL 2096 17 30 45

330 Regional Ecosystems Non eucalypt forest and woodland (NLE) Leptospermum forest - CH 7789 17 30 45

331 Regional Ecosystems Non eucalypt forest and woodland (NLE) Leptospermum forest - KI 8 17 30 45

332 Regional Ecosystems Non eucalypt forest and woodland (NLE) Leptospermum forest - NS 98 17 30 45

333 Regional Ecosystems Non eucalypt forest and woodland (NLE) Leptospermum forest - SR 24192 17 30 45

334 Regional Ecosystems Non eucalypt forest and woodland (NLE) Leptospermum forest - WSW 28421 17 30 45


(NLM) Leptospermum lanigerum - Melaleuca squarrosa swamp forest - BL 64 17 30 45


(NLM) Leptospermum lanigerum - Melaleuca squarrosa swamp forest - CH 115 17 30 45

337 Regional Ecosystems Non eucalypt forest and woodland (NLM) Leptospermum lanigerum - Melaleuca squarrosa 36 17 30 45

37

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high

swamp forest - FL


(NLM) Leptospermum lanigerum - Melaleuca squarrosa swamp forest - KI 4619 17 30 45


(NLM) Leptospermum lanigerum - Melaleuca squarrosa swamp forest - NS 964 17 30 45


(NLM) Leptospermum lanigerum - Melaleuca squarrosa swamp forest - SE 88 17 30 45


(NLM) Leptospermum lanigerum - Melaleuca squarrosa swamp forest - SR 774 17 30 45


(NLM) Leptospermum lanigerum - Melaleuca squarrosa swamp forest - WSW 6873 17 30 45

343 Regional Ecosystems Non eucalypt forest and woodland (NLN) Subalpine Leptospermum nitidum woodland - CH r 959 17 30 45

344 Regional Ecosystems Non eucalypt forest and woodland (NLN) Subalpine Leptospermum nitidum woodland - SR r 1798 17 30 45


(NLN) Subalpine Leptospermum nitidum woodland - WSW r 1079 17 30 45

346 Regional Ecosystems Non eucalypt forest and woodland (NME) Melaleuca ericifolia swamp forest - BL r,e 193 17 30 45

347 Regional Ecosystems Non eucalypt forest and woodland (NME) Melaleuca ericifolia swamp forest - FL R,E r,e 3281 60 80 100

348 Regional Ecosystems Non eucalypt forest and woodland (NME) Melaleuca ericifolia swamp forest - KI R,E r,e 3938 60 80 100

349 Regional Ecosystems Non eucalypt forest and woodland (NME) Melaleuca ericifolia swamp forest - NM r,e 94 17 30 45

350 Regional Ecosystems Non eucalypt forest and woodland (NME) Melaleuca ericifolia swamp forest - NS r,e 137 17 30 45

351 Regional Ecosystems Non eucalypt forest and woodland (NME) Melaleuca ericifolia swamp forest - SE r,e 25 17 30 45

352 Regional Ecosystems Non eucalypt forest and woodland (NME) Melaleuca ericifolia swamp forest - WSW r,e 193 17 30 45

353 Regional Ecosystems Non eucalypt forest and woodland (NNP) Notelaea - Pomaderris - Beyeria forest - BL 140 17 30 45

354 Regional Ecosystems Non eucalypt forest and woodland (NNP) Notelaea - Pomaderris - Beyeria forest - KI 7 17 30 45

355 Regional Ecosystems Non eucalypt forest and woodland (NNP) Notelaea - Pomaderris - Beyeria forest - NS 105 17 30 45

356 Regional Ecosystems Non eucalypt forest and woodland (NNP) Notelaea - Pomaderris - Beyeria forest - SE 12 17 30 45

357 Regional Ecosystems Non eucalypt forest and woodland (NNP) Notelaea - Pomaderris - Beyeria forest - SR 2 17 30 45

358 Regional Ecosystems Non eucalypt forest and woodland (NNP) Notelaea - Pomaderris - Beyeria forest - WSW 21 17 30 45

360 Regional Ecosystems Rainforest and related scrub (RCO) Coastal rainforest - SR 900 17 30 45

361 Regional Ecosystems Rainforest and related scrub (RCO) Coastal rainforest - WSW 576 17 30 45

362 Regional Ecosystems Rainforest and related scrub (RFE) Rainforest fernland - BL R r 1201 40 60 80

363 Regional Ecosystems Rainforest and related scrub (RFE) Rainforest fernland - CH R r 203 40 60 80

364 Regional Ecosystems Rainforest and related scrub (RFE) Rainforest fernland - SR r 60 17 30 45

365 Regional Ecosystems Rainforest and related scrub (RFE) Rainforest fernland - WSW R r 218 40 60 80

366 Regional Ecosystems Rainforest and related scrub (RFS) Nothofagus gunnii rainforest and scrub - CH 2001 17 30 45

367 Regional Ecosystems Rainforest and related scrub (RFS) Nothofagus gunnii rainforest and scrub - SR 132 17 30 45

368 Regional Ecosystems Rainforest and related scrub (RFS) Nothofagus gunnii rainforest and scrub - WSW 14 17 30 45

370 Regional Ecosystems Rainforest and related scrub (RHP) Lagarostrobos franklinii rainforest and scrub - CH 3 17 30 45

38

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high

371 Regional Ecosystems Rainforest and related scrub (RHP) Lagarostrobos franklinii rainforest and scrub - SR 119 17 30 45

372 Regional Ecosystems Rainforest and related scrub

(RHP) Lagarostrobos franklinii rainforest and scrub - WSW 13633 17 30 45


(RKF) Athrotaxis selaginoides - Nothofagus gunnii short rainforest - CH R,V r,v 3114 40 60 80


(RKF) Athrotaxis selaginoides - Nothofagus gunnii short rainforest - SR r,v 101 17 30 45


(RKF) Athrotaxis selaginoides - Nothofagus gunnii short rainforest - WSW r,v 21 17 30 45

376 Regional Ecosystems Rainforest and related scrub (RKP) Athrotaxis selaginoides rainforest - CH v 12808 17 30 45

377 Regional Ecosystems Rainforest and related scrub (RKP) Athrotaxis selaginoides rainforest - SR v 5925 17 30 45

378 Regional Ecosystems Rainforest and related scrub (RKP) Athrotaxis selaginoides rainforest - WSW v 9003 17 30 45

379 Regional Ecosystems Rainforest and related scrub (RKS) Athrotaxis selaginoides subalpine scrub - CH R r 933 40 60 80

380 Regional Ecosystems Rainforest and related scrub (RKS) Athrotaxis selaginoides subalpine scrub - SR r 3685 17 30 45

381 Regional Ecosystems Rainforest and related scrub (RKS) Athrotaxis selaginoides subalpine scrub - WSW r 1669 17 30 45

382 Regional Ecosystems Rainforest and related scrub (RML) Nothofagus - Leptospermum short rainforest - BL 4363 17 30 45

383 Regional Ecosystems Rainforest and related scrub (RML) Nothofagus - Leptospermum short rainforest - CH 3335 17 30 45

384 Regional Ecosystems Rainforest and related scrub (RML) Nothofagus - Leptospermum short rainforest - NS 14 17 30 45

385 Regional Ecosystems Rainforest and related scrub (RML) Nothofagus - Leptospermum short rainforest - SR 7431 17 30 45


(RML) Nothofagus - Leptospermum short rainforest - WSW 16619 17 30 45

387 Regional Ecosystems Rainforest and related scrub (RMS) Nothofagus - Phyllocladus short rainforest - BL 1054 17 30 45

388 Regional Ecosystems Rainforest and related scrub (RMS) Nothofagus - Phyllocladus short rainforest - CH 12703 17 30 45

389 Regional Ecosystems Rainforest and related scrub (RMS) Nothofagus - Phyllocladus short rainforest - FL 5 17 30 45

390 Regional Ecosystems Rainforest and related scrub (RMS) Nothofagus - Phyllocladus short rainforest - KI 12550 17 30 45

391 Regional Ecosystems Rainforest and related scrub (RMS) Nothofagus - Phyllocladus short rainforest - NS 20074 17 30 45

392 Regional Ecosystems Rainforest and related scrub (RMS) Nothofagus - Phyllocladus short rainforest - SE 3 17 30 45

393 Regional Ecosystems Rainforest and related scrub (RMS) Nothofagus - Phyllocladus short rainforest - SR 11625 17 30 45

394 Regional Ecosystems Rainforest and related scrub (RMS) Nothofagus - Phyllocladus short rainforest - WSW 113445 17 30 45

395 Regional Ecosystems Rainforest and related scrub (RMT) Nothofagus - Atherosperma rainforest - BL 28795 17 30 45

396 Regional Ecosystems Rainforest and related scrub (RMT) Nothofagus - Atherosperma rainforest - CH 52983 17 30 45

397 Regional Ecosystems Rainforest and related scrub (RMT) Nothofagus - Atherosperma rainforest - KI 8865 17 30 45

398 Regional Ecosystems Rainforest and related scrub (RMT) Nothofagus - Atherosperma rainforest - NS 31026 17 30 45

399 Regional Ecosystems Rainforest and related scrub (RMT) Nothofagus - Atherosperma rainforest - SE 618 17 30 45

400 Regional Ecosystems Rainforest and related scrub (RMT) Nothofagus - Atherosperma rainforest - SR 45864 17 30 45

401 Regional Ecosystems Rainforest and related scrub (RMT) Nothofagus - Atherosperma rainforest - WSW 266619 17 30 45


(RPF) Athrotaxis cupressoides - Nothofagus gunnii short rainforest - CH r,v 4403 17 30 45

39

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high


(RPF) Athrotaxis cupressoides - Nothofagus gunnii short rainforest - SR r,v 35 17 30 45

404 Regional Ecosystems Rainforest and related scrub (RPP) Athrotaxis cupressoides rainforest - CH r,v 3462 17 30 45

405 Regional Ecosystems Rainforest and related scrub (RPP) Athrotaxis cupressoides rainforest - SR r,v 104 17 30 45

406 Regional Ecosystems Rainforest and related scrub (RPW) Athrotaxis cupressoides open woodland - CH r 15757 17 30 45

407 Regional Ecosystems Rainforest and related scrub (RPW) Athrotaxis cupressoides open woodland - SR r 515 17 30 45

408 Regional Ecosystems Rainforest and related scrub (RSH) Highland low rainforest and scrub - BL 760 17 30 45

409 Regional Ecosystems Rainforest and related scrub (RSH) Highland low rainforest and scrub - CH 6487 17 30 45

410 Regional Ecosystems Rainforest and related scrub (RSH) Highland low rainforest and scrub - SR 8971 17 30 45

411 Regional Ecosystems Rainforest and related scrub (RSH) Highland low rainforest and scrub - WSW 3578 17 30 45

412 Regional Ecosystems Scrub, heathland and coastal complexes (SAL) Acacia longifolia coastal scrub - BL 6 17 30 45

413 Regional Ecosystems Scrub, heathland and coastal complexes (SAL) Acacia longifolia coastal scrub - FL 9736 17 30 45

414 Regional Ecosystems Scrub, heathland and coastal complexes (SAL) Acacia longifolia coastal scrub - KI 1378 17 30 45

415 Regional Ecosystems Scrub, heathland and coastal complexes (SAL) Acacia longifolia coastal scrub - NS 29 17 30 45

416 Regional Ecosystems Scrub, heathland and coastal complexes (SAL) Acacia longifolia coastal scrub - SE 1311 17 30 45

417 Regional Ecosystems Scrub, heathland and coastal complexes (SAL) Acacia longifolia coastal scrub - SR 78 17 30 45

418 Regional Ecosystems Scrub, heathland and coastal complexes (SAL) Acacia longifolia coastal scrub - WSW 673 17 30 45

419 Regional Ecosystems Scrub, heathland and coastal complexes (SBM) Banksia marginata wet scrub - BL 27 17 30 45

420 Regional Ecosystems Scrub, heathland and coastal complexes (SBM) Banksia marginata wet scrub - CH 687 17 30 45

421 Regional Ecosystems Scrub, heathland and coastal complexes (SBM) Banksia marginata wet scrub - SR r 918 17 30 45

422 Regional Ecosystems Scrub, heathland and coastal complexes (SBM) Banksia marginata wet scrub - WSW r 1699 17 30 45

423 Regional Ecosystems Scrub, heathland and coastal complexes (SBR) Broad-leaf scrub - BL 3612 17 30 45

424 Regional Ecosystems Scrub, heathland and coastal complexes (SBR) Broad-leaf scrub - CH 1083 17 30 45

425 Regional Ecosystems Scrub, heathland and coastal complexes (SBR) Broad-leaf scrub - FL 588 17 30 45

426 Regional Ecosystems Scrub, heathland and coastal complexes (SBR) Broad-leaf scrub - KI 347 17 30 45

427 Regional Ecosystems Scrub, heathland and coastal complexes (SBR) Broad-leaf scrub - NM 144 17 30 45

428 Regional Ecosystems Scrub, heathland and coastal complexes (SBR) Broad-leaf scrub - NS 1773 17 30 45

429 Regional Ecosystems Scrub, heathland and coastal complexes (SBR) Broad-leaf scrub - SE 2733 17 30 45

430 Regional Ecosystems Scrub, heathland and coastal complexes (SBR) Broad-leaf scrub - SR 1766 17 30 45

431 Regional Ecosystems Scrub, heathland and coastal complexes (SBR) Broad-leaf scrub - WSW 1078 17 30 45

432 Regional Ecosystems Scrub, heathland and coastal complexes (SCA) Coastal scrub on alkaline sands - FL 2211 17 30 45

433 Regional Ecosystems Scrub, heathland and coastal complexes (SCA) Coastal scrub on alkaline sands - KI 1722 17 30 45

434 Regional Ecosystems Scrub, heathland and coastal complexes (SCA) Coastal scrub on alkaline sands - SE 1 17 30 45

435 Regional Ecosystems Scrub, heathland and coastal complexes (SCA) Coastal scrub on alkaline sands - WSW 29 17 30 45

436 Regional Ecosystems Scrub, heathland and coastal complexes (SCH) Coastal heathland - FL 11434 17 30 45

437 Regional Ecosystems Scrub, heathland and coastal complexes (SCH) Coastal heathland - KI 13810 17 30 45

40

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high

438 Regional Ecosystems Scrub, heathland and coastal complexes (SCH) Coastal heathland - NS 99 17 30 45

439 Regional Ecosystems Scrub, heathland and coastal complexes (SCH) Coastal heathland - SE 3521 17 30 45

440 Regional Ecosystems Scrub, heathland and coastal complexes (SCH) Coastal heathland - SR 1913 17 30 45

441 Regional Ecosystems Scrub, heathland and coastal complexes (SCH) Coastal heathland - WSW 684 17 30 45

442 Regional Ecosystems Scrub, heathland and coastal complexes (SCK) Coastal complex on King Island - KI 334 17 30 45

443 Regional Ecosystems Scrub, heathland and coastal complexes (SCW) Heathland scrub complex at Wingaroo - FL 1662 17 30 45

444 Regional Ecosystems Scrub, heathland and coastal complexes (SDU) Dry scrub - BL 198 17 30 45

445 Regional Ecosystems Scrub, heathland and coastal complexes (SDU) Dry scrub - CH 14 17 30 45

446 Regional Ecosystems Scrub, heathland and coastal complexes (SDU) Dry scrub - FL 43005 17 30 45

447 Regional Ecosystems Scrub, heathland and coastal complexes (SDU) Dry scrub - KI 1793 17 30 45

448 Regional Ecosystems Scrub, heathland and coastal complexes (SDU) Dry scrub - NM 25 17 30 45

449 Regional Ecosystems Scrub, heathland and coastal complexes (SDU) Dry scrub - NS 319 17 30 45

450 Regional Ecosystems Scrub, heathland and coastal complexes (SDU) Dry scrub - SE 569 17 30 45

451 Regional Ecosystems Scrub, heathland and coastal complexes (SDU) Dry scrub - SR 187 17 30 45

452 Regional Ecosystems Scrub, heathland and coastal complexes (SDU) Dry scrub - WSW 247 17 30 45

453 Regional Ecosystems Scrub, heathland and coastal complexes (SHC) Heathland on calcarenite - FL 434 17 30 45

454 Regional Ecosystems Scrub, heathland and coastal complexes

(SHF) Heathland scrub mosaic on Flinders Island - FL 388 17 30 45

455 Regional Ecosystems Scrub, heathland and coastal complexes (SHG) Heathland on granite - BL 402 17 30 45

456 Regional Ecosystems Scrub, heathland and coastal complexes (SHG) Heathland on granite - FL 12833 17 30 45

457 Regional Ecosystems Scrub, heathland and coastal complexes (SHG) Heathland on granite - SE 745 17 30 45

458 Regional Ecosystems Scrub, heathland and coastal complexes (SHL) Lowland sedgy heathland - BL 260 17 30 45

459 Regional Ecosystems Scrub, heathland and coastal complexes (SHL) Lowland sedgy heathland - FL 33292 17 30 45

460 Regional Ecosystems Scrub, heathland and coastal complexes (SHL) Lowland sedgy heathland - KI 6142 17 30 45

461 Regional Ecosystems Scrub, heathland and coastal complexes (SHL) Lowland sedgy heathland - NS 757 17 30 45

462 Regional Ecosystems Scrub, heathland and coastal complexes (SHL) Lowland sedgy heathland - SE 548 17 30 45

463 Regional Ecosystems Scrub, heathland and coastal complexes (SHL) Lowland sedgy heathland - SR 182 17 30 45

464 Regional Ecosystems Scrub, heathland and coastal complexes (SHL) Lowland sedgy heathland - WSW 21831 17 30 45

465 Regional Ecosystems Scrub, heathland and coastal complexes (SHS) Subalpine heathland - BL 2643 17 30 45

466 Regional Ecosystems Scrub, heathland and coastal complexes (SHS) Subalpine heathland - CH 2784 17 30 45

467 Regional Ecosystems Scrub, heathland and coastal complexes (SHS) Subalpine heathland - SE 267 17 30 45

468 Regional Ecosystems Scrub, heathland and coastal complexes (SHS) Subalpine heathland - SR 2921 17 30 45

469 Regional Ecosystems Scrub, heathland and coastal complexes (SHS) Subalpine heathland - WSW 140 17 30 45

470 Regional Ecosystems Scrub, heathland and coastal complexes (SHU) Inland heathland (undifferentiated) - BL 167 17 30 45

471 Regional Ecosystems Scrub, heathland and coastal complexes (SHU) Inland heathland (undifferentiated) - CH 150 17 30 45

472 Regional Ecosystems Scrub, heathland and coastal complexes (SHU) Inland heathland (undifferentiated) - FL 1370 17 30 45

41

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high

473 Regional Ecosystems Scrub, heathland and coastal complexes (SHU) Inland heathland (undifferentiated) - KI 381 17 30 45

474 Regional Ecosystems Scrub, heathland and coastal complexes (SHU) Inland heathland (undifferentiated) - NS 790 17 30 45

475 Regional Ecosystems Scrub, heathland and coastal complexes (SHU) Inland heathland (undifferentiated) - SE 565 17 30 45

476 Regional Ecosystems Scrub, heathland and coastal complexes (SHU) Inland heathland (undifferentiated) - SR 788 17 30 45

477 Regional Ecosystems Scrub, heathland and coastal complexes (SHU) Inland heathland (undifferentiated) - WSW 160 17 30 45

478 Regional Ecosystems Scrub, heathland and coastal complexes (SHW) Wet heathland - BL 3203 17 30 45

479 Regional Ecosystems Scrub, heathland and coastal complexes (SHW) Wet heathland - CH 273 17 30 45

480 Regional Ecosystems Scrub, heathland and coastal complexes (SHW) Wet heathland - FL 8068 17 30 45

481 Regional Ecosystems Scrub, heathland and coastal complexes (SHW) Wet heathland - KI U 2154 17 30 45

482 Regional Ecosystems Scrub, heathland and coastal complexes (SHW) Wet heathland - NM 7 17 30 45

483 Regional Ecosystems Scrub, heathland and coastal complexes (SHW) Wet heathland - NS 269 17 30 45

484 Regional Ecosystems Scrub, heathland and coastal complexes (SHW) Wet heathland - SE 3831 17 30 45

485 Regional Ecosystems Scrub, heathland and coastal complexes (SHW) Wet heathland - SR 1612 17 30 45

486 Regional Ecosystems Scrub, heathland and coastal complexes (SHW) Wet heathland - WSW 10 17 30 45

487 Regional Ecosystems Scrub, heathland and coastal complexes (SLW) Leptospermum scrub - BL 3270 17 30 45

488 Regional Ecosystems Scrub, heathland and coastal complexes (SLW) Leptospermum scrub - CH 5639 17 30 45

489 Regional Ecosystems Scrub, heathland and coastal complexes (SLW) Leptospermum scrub - FL 2133 17 30 45

490 Regional Ecosystems Scrub, heathland and coastal complexes (SLW) Leptospermum scrub - KI 13352 17 30 45

491 Regional Ecosystems Scrub, heathland and coastal complexes (SLW) Leptospermum scrub - NM 2 17 30 45

492 Regional Ecosystems Scrub, heathland and coastal complexes (SLW) Leptospermum scrub - NS 1636 17 30 45

493 Regional Ecosystems Scrub, heathland and coastal complexes (SLW) Leptospermum scrub - SE 1625 17 30 45

494 Regional Ecosystems Scrub, heathland and coastal complexes (SLW) Leptospermum scrub - SR 6669 17 30 45

495 Regional Ecosystems Scrub, heathland and coastal complexes (SLW) Leptospermum scrub - WSW 41723 17 30 45

496 Regional Ecosystems Scrub, heathland and coastal complexes (SMM) Melaleuca squamea heathland - BL 131 17 30 45

497 Regional Ecosystems Scrub, heathland and coastal complexes (SMM) Melaleuca squamea heathland - CH 6737 17 30 45

498 Regional Ecosystems Scrub, heathland and coastal complexes (SMM) Melaleuca squamea heathland - KI 14 17 30 45

499 Regional Ecosystems Scrub, heathland and coastal complexes (SMM) Melaleuca squamea heathland - SR 1990 17 30 45

500 Regional Ecosystems Scrub, heathland and coastal complexes (SMM) Melaleuca squamea heathland - WSW 12008 17 30 45

501 Regional Ecosystems Scrub, heathland and coastal complexes (SMP) Melaleuca pustulata scrub - SE r 306 17 30 45

502 Regional Ecosystems Scrub, heathland and coastal complexes (SMR) Melaleuca squarrosa scrub - BL 1788 17 30 45

503 Regional Ecosystems Scrub, heathland and coastal complexes (SMR) Melaleuca squarrosa scrub - CH 364 17 30 45

504 Regional Ecosystems Scrub, heathland and coastal complexes (SMR) Melaleuca squarrosa scrub - FL 2618 17 30 45

505 Regional Ecosystems Scrub, heathland and coastal complexes (SMR) Melaleuca squarrosa scrub - KI U 3521 17 30 45

506 Regional Ecosystems Scrub, heathland and coastal complexes (SMR) Melaleuca squarrosa scrub - NS 143 17 30 45

507 Regional Ecosystems Scrub, heathland and coastal complexes (SMR) Melaleuca squarrosa scrub - SE 280 17 30 45

42

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high

508 Regional Ecosystems Scrub, heathland and coastal complexes (SMR) Melaleuca squarrosa scrub - SR 1361 17 30 45

509 Regional Ecosystems Scrub, heathland and coastal complexes (SMR) Melaleuca squarrosa scrub - WSW 8039 17 30 45

510 Regional Ecosystems Scrub, heathland and coastal complexes (SRC) Seabird rookery complex - FL 56 17 30 45

511 Regional Ecosystems Scrub, heathland and coastal complexes (SRC) Seabird rookery complex - KI 399 17 30 45

512 Regional Ecosystems Scrub, heathland and coastal complexes (SRC) Seabird rookery complex - SE 117 17 30 45

513 Regional Ecosystems Scrub, heathland and coastal complexes (SRC) Seabird rookery complex - SR 42 17 30 45

514 Regional Ecosystems Scrub, heathland and coastal complexes (SRC) Seabird rookery complex - WSW 46 17 30 45

515 Regional Ecosystems Scrub, heathland and coastal complexes (SRF) Leptospermum with rainforest scrub - BL 264 17 30 45

516 Regional Ecosystems Scrub, heathland and coastal complexes (SRF) Leptospermum with rainforest scrub - CH 3933 17 30 45

517 Regional Ecosystems Scrub, heathland and coastal complexes (SRF) Leptospermum with rainforest scrub - KI 2 17 30 45

518 Regional Ecosystems Scrub, heathland and coastal complexes (SRF) Leptospermum with rainforest scrub - NS 406 17 30 45

519 Regional Ecosystems Scrub, heathland and coastal complexes (SRF) Leptospermum with rainforest scrub - SE 925 17 30 45

520 Regional Ecosystems Scrub, heathland and coastal complexes (SRF) Leptospermum with rainforest scrub - SR 6876 17 30 45

521 Regional Ecosystems Scrub, heathland and coastal complexes (SRF) Leptospermum with rainforest scrub - WSW 10222 17 30 45

522 Regional Ecosystems Scrub, heathland and coastal complexes (SRI) Riparian scrub - BL 303 17 30 45

523 Regional Ecosystems Scrub, heathland and coastal complexes (SRI) Riparian scrub - CH 189 17 30 45

524 Regional Ecosystems Scrub, heathland and coastal complexes (SRI) Riparian scrub - FL 737 17 30 45

525 Regional Ecosystems Scrub, heathland and coastal complexes (SRI) Riparian scrub - KI 186 17 30 45

526 Regional Ecosystems Scrub, heathland and coastal complexes (SRI) Riparian scrub - NM 708 17 30 45

527 Regional Ecosystems Scrub, heathland and coastal complexes (SRI) Riparian scrub - NS 418 17 30 45

528 Regional Ecosystems Scrub, heathland and coastal complexes (SRI) Riparian scrub - SE 1181 17 30 45

529 Regional Ecosystems Scrub, heathland and coastal complexes (SRI) Riparian scrub - SR 39 17 30 45

530 Regional Ecosystems Scrub, heathland and coastal complexes (SSC) Coastal scrub - CH 3 17 30 45

531 Regional Ecosystems Scrub, heathland and coastal complexes (SSC) Coastal scrub - FL 6747 17 30 45

532 Regional Ecosystems Scrub, heathland and coastal complexes (SSC) Coastal scrub - KI 10084 17 30 45

533 Regional Ecosystems Scrub, heathland and coastal complexes (SSC) Coastal scrub - NS 54 17 30 45

534 Regional Ecosystems Scrub, heathland and coastal complexes (SSC) Coastal scrub - SE 3777 17 30 45

535 Regional Ecosystems Scrub, heathland and coastal complexes (SSC) Coastal scrub - SR 2161 17 30 45

536 Regional Ecosystems Scrub, heathland and coastal complexes (SSC) Coastal scrub - WSW 4096 17 30 45

537 Regional Ecosystems Scrub, heathland and coastal complexes (SSK) Scrub complex on King Island - KI 20701 17 30 45

538 Regional Ecosystems Scrub, heathland and coastal complexes (SSW) Western subalpine scrub - CH 730 17 30 45

539 Regional Ecosystems Scrub, heathland and coastal complexes (SSW) Western subalpine scrub - SR 48 17 30 45

540 Regional Ecosystems Scrub, heathland and coastal complexes (SSW) Western subalpine scrub - WSW 5284 17 30 45

541 Regional Ecosystems Scrub, heathland and coastal complexes (SWW) Western wet scrub - CH 8026 17 30 45

542 Regional Ecosystems Scrub, heathland and coastal complexes (SWW) Western wet scrub - KI 8041 17 30 45

43

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high

543 Regional Ecosystems Scrub, heathland and coastal complexes (SWW) Western wet scrub - NS 1548 17 30 45

544 Regional Ecosystems Scrub, heathland and coastal complexes (SWW) Western wet scrub - SR 10089 17 30 45

545 Regional Ecosystems Scrub, heathland and coastal complexes (SWW) Western wet scrub - WSW 112142 17 30 45

546 Regional Ecosystems Wet eucalypt forest and woodland (WBR) Eucalyptus brookeriana wet forest - BL v 95 17 30 45

547 Regional Ecosystems Wet eucalypt forest and woodland (WBR) Eucalyptus brookeriana wet forest - CH v 0 17 30 45

548 Regional Ecosystems Wet eucalypt forest and woodland (WBR) Eucalyptus brookeriana wet forest - KI V v 5878 40 60 80

549 Regional Ecosystems Wet eucalypt forest and woodland (WBR) Eucalyptus brookeriana wet forest - NS v 36 17 30 45

550 Regional Ecosystems Wet eucalypt forest and woodland (WBR) Eucalyptus brookeriana wet forest - SE v 101 17 30 45

551 Regional Ecosystems Wet eucalypt forest and woodland (WBR) Eucalyptus brookeriana wet forest - WSW v 317 17 30 45

552 Regional Ecosystems Wet eucalypt forest and woodland

(WDU) Eucalyptus delegatensis wet forest (undifferentiated) - BL 39300 17 30 45


(WDU) Eucalyptus delegatensis wet forest (undifferentiated) - CH 82652 17 30 45


(WDU) Eucalyptus delegatensis wet forest (undifferentiated) - NS 20996 17 30 45


(WDU) Eucalyptus delegatensis wet forest (undifferentiated) - SE 19854 17 30 45


(WDU) Eucalyptus delegatensis wet forest (undifferentiated) - SR 94221 17 30 45


(WDU) Eucalyptus delegatensis wet forest (undifferentiated) - WSW 17734 17 30 45

558 Regional Ecosystems Wet eucalypt forest and woodland (WGK) Eucalyptus globulus King Island forest - KI R,E r,e 1292 60 80 100

559 Regional Ecosystems Wet eucalypt forest and woodland (WGL) Eucalyptus globulus wet forest - BL 15 17 30 45

560 Regional Ecosystems Wet eucalypt forest and woodland (WGL) Eucalyptus globulus wet forest - SE 2077 17 30 45

561 Regional Ecosystems Wet eucalypt forest and woodland (WGL) Eucalyptus globulus wet forest - SR 3452 17 30 45

562 Regional Ecosystems Wet eucalypt forest and woodland (WGL) Eucalyptus globulus wet forest - WSW 781 17 30 45


(WNU) Eucalyptus nitida wet forest (undifferentiated) - CH 17703 17 30 45


(WNU) Eucalyptus nitida wet forest (undifferentiated) - KI 4434 17 30 45


(WNU) Eucalyptus nitida wet forest (undifferentiated) - NS 2781 17 30 45


(WNU) Eucalyptus nitida wet forest (undifferentiated) - SR 25813 17 30 45


(WNU) Eucalyptus nitida wet forest (undifferentiated) - WSW 190080 17 30 45


(WOU) Eucalyptus obliqua wet forest (undifferentiated) - BL 35647 17 30 45


(WOU) Eucalyptus obliqua wet forest (undifferentiated) - CH 61 17 30 45


(WOU) Eucalyptus obliqua wet forest (undifferentiated) - FL 2250 17 30 45

44

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high


(WOU) Eucalyptus obliqua wet forest (undifferentiated) - KI 61543 17 30 45


(WOU) Eucalyptus obliqua wet forest (undifferentiated) - NS 86947 17 30 45


(WOU) Eucalyptus obliqua wet forest (undifferentiated) - SE 30524 17 30 45


(WOU) Eucalyptus obliqua wet forest (undifferentiated) - SR 139497 17 30 45


(WOU) Eucalyptus obliqua wet forest (undifferentiated) - WSW 53371 17 30 45

576 Regional Ecosystems Wet eucalypt forest and woodland (WRE) Eucalyptus regnans forest - BL 30474 17 30 45

577 Regional Ecosystems Wet eucalypt forest and woodland (WRE) Eucalyptus regnans forest - KI 23 17 30 45

578 Regional Ecosystems Wet eucalypt forest and woodland (WRE) Eucalyptus regnans forest - NS 2415 17 30 45

579 Regional Ecosystems Wet eucalypt forest and woodland (WRE) Eucalyptus regnans forest - SE 3382 17 30 45

580 Regional Ecosystems Wet eucalypt forest and woodland (WRE) Eucalyptus regnans forest - SR 38636 17 30 45

581 Regional Ecosystems Wet eucalypt forest and woodland (WSU) Eucalyptus subcrenulata forest and woodland - BL 4 17 30 45


(WSU) Eucalyptus subcrenulata forest and woodland - CH 17322 17 30 45


(WSU) Eucalyptus subcrenulata forest and woodland - NS 0 17 30 45

584 Regional Ecosystems Wet eucalypt forest and woodland (WSU) Eucalyptus subcrenulata forest and woodland - SR 9833 17 30 45


(WSU) Eucalyptus subcrenulata forest and woodland - WSW 835 17 30 45

586 Regional Ecosystems Wet eucalypt forest and woodland (WVI) Eucalyptus viminalis wet forest - BL E e 1662 60 80 100

587 Regional Ecosystems Wet eucalypt forest and woodland (WVI) Eucalyptus viminalis wet forest - FL e 2 17 30 45

588 Regional Ecosystems Wet eucalypt forest and woodland (WVI) Eucalyptus viminalis wet forest - KI e 47 17 30 45

589 Regional Ecosystems Wet eucalypt forest and woodland (WVI) Eucalyptus viminalis wet forest - NM e 197 17 30 45

590 Regional Ecosystems Wet eucalypt forest and woodland (WVI) Eucalyptus viminalis wet forest - NS E e 5397 60 80 100

591 Regional Ecosystems Wet eucalypt forest and woodland (WVI) Eucalyptus viminalis wet forest - SE e 177 17 30 45

592 Regional Ecosystems Wet eucalypt forest and woodland (WVI) Eucalyptus viminalis wet forest - SR e 228 17 30 45

593 Regional Ecosystems Wet eucalypt forest and woodland (WVI) Eucalyptus viminalis wet forest - WSW e 11 17 30 45

594 Tasveg

Non-native or non-vegetated

0 0 0

800 Tasveg state threatened Saltmarsh and wetland (AHF) Fresh water aquatic herbland

v

2958 40 60 80

801 Tasveg state threatened Saltmarsh and wetland (AHL) Lacustrine herbland

v

1427 40 60 80

802 Tasveg state threatened Saltmarsh and wetland (AHS) Saline aquatic herbland

v

2455 40 60 80

803 Tasveg state threatened Saltmarsh and wetland (ASF) Freshwater aquatic sedgeland and rushland

v

6899 40 60 80

804 Tasveg state threatened Saltmarsh and wetland (AWU) Wetland (undifferentiated)

v

4124 40 60 80

805 Tasveg state threatened Dry eucalypt forest and woodland (DAS) Eucalyptus amygdalina forest and woodland on sandstone

v

41759 40 60 80

806 Tasveg state threatened Dry eucalypt forest and woodland (DAZ) Eucalyptus amygdalina inland forest and

v

23035 40 60 80

45

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high

woodland on Cainozoic deposits

807 Tasveg state threatened Dry eucalypt forest and woodland (DGL) Eucalyptus globulus dry forest and woodland

v

19616 40 60 80

808 Tasveg state threatened Dry eucalypt forest and woodland (DKW) King Island Eucalypt woodland

r,e

580 80 90 100

809 Tasveg state threatened Dry eucalypt forest and woodland (DMO) Eucalyptus morrisbyi forest and woodland

r,e

5 80 90 100

810 Tasveg state threatened Dry eucalypt forest and woodland (DMW) Midlands woodland complex

e

1354 60 80 100

811 Tasveg state threatened Dry eucalypt forest and woodland (DOV) Eucalyptus ovata forest and woodland

e

14611 60 80 100

812 Tasveg state threatened Dry eucalypt forest and woodland (DOW) Eucalyptus ovata heathy woodland

e

529 60 80 100

813 Tasveg state threatened Dry eucalypt forest and woodland (DPE) Eucalyptus perriniana forest and woodland

v

25 40 60 80

814 Tasveg state threatened Dry eucalypt forest and woodland (DRI) Eucalyptus risdonii forest and woodland

r

789 40 60 80

815 Tasveg state threatened Dry eucalypt forest and woodland (DTO) Eucalyptus tenuiramis forest and woodland on sediments

v

47297 40 60 80

816 Tasveg state threatened Dry eucalypt forest and woodland (DVC) Eucalyptus viminalis - Eucalyptus globulus coastal forest and woodland

r,v

3418 70 80 90

817 Tasveg state threatened Dry eucalypt forest and woodland (DVF) Eucalyptus viminalis Furneaux forest and woodland

r,e

1088 80 90 100

818 Tasveg state threatened Native grassland (GPH) Highland Poa grassland

r,e

26060 80 90 100

819 Tasveg state threatened Highland and treeless vegetation (HCM) Cushion moorland

r

3162 40 60 80

820 Tasveg state threatened Moorland, sedgeland, rushland and peatland (MAP) Alkaline pans

r

522 40 60 80

821 Tasveg state threatened Moorland, sedgeland, rushland and peatland (MDS) Subalpine Diplarrena latifolia rushland

r

1231 40 60 80

822 Tasveg state threatened Moorland, sedgeland, rushland and peatland (MGH) Highland grassy sedgeland

r

18631 40 60 80

823 Tasveg state threatened Moorland, sedgeland, rushland and peatland (MSP) Sphagnum peatland

r E 3477 40 60 80

824 Tasveg state threatened Non eucalypt forest and woodland (NAL) Allocasuarina littoralis forest

r

1214 40 60 80

825 Tasveg state threatened Non eucalypt forest and woodland (NBS) Banksia serrata woodland

r,e

379 80 90 100

826 Tasveg state threatened Non eucalypt forest and woodland (NCR) Callitris rhomboidea forest

r

864 40 60 80

827 Tasveg state threatened Non eucalypt forest and woodland (NLN) Subalpine Leptospermum nitidum woodland

r

3762 40 60 80

828 Tasveg state threatened Non eucalypt forest and woodland (NME) Melaleuca ericifolia swamp forest

r,e

8793 80 90 100

829 Tasveg state threatened Non eucalypt forest and woodland (NNP) Notelaea - Pomaderris - Beyeria forest

r,e

287 80 90 100

830 Tasveg state threatened Rainforest and related scrub (RFE) Rainforest fernland

r

1703 40 60 80

831 Tasveg state threatened Rainforest and related scrub (RKF) Athrotaxis selaginoides - Nothofagus gunnii short rainforest

r,v

3245 70 80 90

832 Tasveg state threatened Rainforest and related scrub (RKP) Athrotaxis selaginoides rainforest

v

19176 40 60 80

833 Tasveg state threatened Rainforest and related scrub (RKS) Athrotaxis selaginoides subalpine scrub

r

6293 40 60 80

834 Tasveg state threatened Rainforest and related scrub (RPF) Athrotaxis cupressoides - Nothofagus gunnii short rainforest

r,v

4501 70 80 90

835 Tasveg state threatened Rainforest and related scrub (RPP) Athrotaxis cupressoides rainforest

r,v

3579 70 80 90

836 Tasveg state threatened Rainforest and related scrub (RPW) Athrotaxis cupressoides open woodland

r

16275 40 60 80

837 Tasveg state threatened Scrub, heathland and coastal complexes (SBM) Banksia marginata wet scrub

r

2629 40 60 80

838 Tasveg state threatened Scrub, heathland and coastal complexes (SCK) Coastal complex on King Island

r,e

334 80 90 100

839 Tasveg state threatened Scrub, heathland and coastal complexes (SCW) Heathland scrub complex at Wingaroo

r

1469 40 60 80

46

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high

840 Tasveg state threatened Scrub, heathland and coastal complexes (SHC) Heathland on calcarenite

r,v

365 70 80 90

841 Tasveg state threatened Scrub, heathland and coastal complexes (SMP) Melaleuca pustulata scrub

r

344 40 60 80

842 Tasveg state threatened Scrub, heathland and coastal complexes (SRC) Seabird rookery complex

r

686 40 60 80

843 Tasveg state threatened Scrub, heathland and coastal complexes (SRI) Riparian scrub

v

3708 40 60 80

844 Tasveg state threatened Wet eucalypt forest and woodland (WBR) Eucalyptus brookeriana wet forest

v

7279 40 60 80

845 Tasveg state threatened Wet eucalypt forest and woodland (WGK) Eucalyptus globulus King Island forest

r,e

1381 80 90 100

846 Tasveg state threatened Wet eucalypt forest and woodland (WVI) Eucalyptus viminalis wet forest

e

7514 60 80 100

900 Conservation priority communities EPBC listed communities Sphagnum bogs

E 2871 60 80 100

901 Conservation priority communities EPBC listed communities Callitris oblonga forest

332 60 80 100

902 Conservation priority communities EPBC listed communities Lowland Native Grasslands Tas

CR 14146 60 80 100

903 Conservation priority communities EPBC listed communities Subtropical and Temperate Coastal Saltmarsh

60 80 100

904 Conservation priority communities

Remnant native vegetation on basalt - forest

30 55 80


Remnant native vegetation on basalt - non-forest

30 55 80


Remnant rainforest in Eastern Tas

1721 60 80 100


Cloud forest

1802 60 80 100


Sub-coastal grasslands of NW Tas

26 60 80 100


Native vegetation on ultramafic soils - Dry forest

3171 20 40 60


Native vegetation on ultramafic soils - Wet forest

8437 20 40 60


Native vegetation on ultramafic soils - non-forest

4083 20 40 60


Remnant native vegetation on floodplains - CH

194 30 55 80


Remnant native vegetation on floodplains - F

2246 30 55 80


Remnant native vegetation on floodplains - K

1147 30 55 80


Remnant native vegetation on floodplains - NM

3138 30 55 80


Remnant native vegetation on floodplains - NS

539 30 55 80


Remnant native vegetation on floodplains - SE

2963 30 55 80


Remnant native vegetation on floodplains - SR

503 30 55 80


Remnant native vegetation on floodplains - W

306 30 55 80

47

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high


Remnant native vegetation on floodplains - BL

1014 30 55 80

940 Fauna habitat Important habitat Important Bird Areas

1096170 30 55 80

941 Fauna habitat Important habitat Seabird colonies

713 60 80 100

942 Fauna habitat Threatened species - geographically restricted

Forty spot pardalote habitat (Pardalotus quadragintus )

70 80 90

943 Fauna habitat Threatened species Swift parrot foraging habitat (Lathamus discolor)

40 60 80

944 Fauna habitat Threatened species - wide-ranging Masked owl habitat (Tyto novaehollandiae castanops)

20 40 60

945 Fauna habitat Threatened species - wide-ranging Grey goshawk habitat (Accipiter novaehollandiae )

20 40 60

946 Fauna habitat Threatened species - wide-ranging New Holland mouse habitat (Pseudomys novaehollandiae)

20 40 60

947 Fauna habitat Threatened species - wide-ranging Spotted tail quoll habitat (Dasyurus maculatus)

20 40 60

948 Fauna habitat Threatened species - geographically restricted Dwarf galaxiid habitat (Galaxiella pusilla )

70 80 90

949 Fauna habitat Threatened species - geographically restricted Swan galaxias habitat (Galaxias fontanus )

70 80 90

950 Fauna habitat Threatened species Giant freshwater crayfish habitat suitability (subcatchments) - High suitability (Astacopsis gouldi)

25 50 75

951 Fauna habitat Threatened species

Giant freshwater crayfish habitat suitability (subcatchments) - Medium suitability (Astacopsis gouldi)

10 20 35


Blind velvet worm habitat (Tasmanipatus anophthalmus )

70 80 90

953 Fauna habitat Threatened species - geographically restricted Giant velvet worm habitat (Tasmanipatus barretti )

70 80 90

954 Fauna habitat Threatened species - geographically restricted Broad-toothed stag beetle habitat (Lissotes latidens )

70 80 90


Bornemissza stag beetle habitat (Hoplogonus bornemisszai )

70 80 90


Mount Mangana stag beetle habitat (Lissotes menalcas )

70 80 90

957 Fauna habitat Threatened species - geographically restricted Simsons stag beetle habitat (Hoplogonus simsoni )

70 80 90


Vanderschoors stag beetle habitat (Hoplogonus vanderschoori )

70 80 90

959 Fauna habitat Threatened species - geographically restricted Burgundy snail habitat (Helicarion rubicundus )

70 80 90

960 Fauna habitat Threatened species - geographically restricted Keeled snail habitat (Tasmaphena lamproides )

70 80 90

961 Fauna habitat Threatened species - geographically restricted Skemps snail habitat (Charopidae 'Skemps')

70 80 90

962 Fauna habitat Important habitat Mature forest habitat

50 70 90

974 CFEV

Saltmarsh - Very High ICV

80 100 100

975 CFEV

Saltmarsh - High ICV

30 70 80

48

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high

976 CFEV

Saltmarsh - Moderate ICV

0 15 30

977 CFEV

Wetlands - Very High ICV

80 90 100

978 CFEV

Wetlands - High ICV

30 60 80

979 CFEV

Wetlands - Moderate ICV

0 30 50

980 CFEV

Wetlands - Lower ICV

0 0 0

981 CFEV

Waterbodies - Very High ICV

70 90 100

982 CFEV

Waterbodies - High ICV

20 40 70

983 CFEV

Waterbodies - Moderate ICV

0 0 40

984 CFEV

Waterbodies - Lower ICV

0 0 0

985 CFEV

Karst - Very High ICV

80 90 100

986 CFEV

Karst - High ICV

30 60 80

987 CFEV

Karst - Moderate ICV

0 30 50

989 CFEV

GDEs - Mound springs

7 60 80 100

990 CFEV

GDEs - Tufa-depositing springs

54 60 80 100

994 CFEV

Riparian - Very High ICV

80 100 100

995 CFEV

Riparian - High ICV

40 60 80

996 CFEV

Riparian - Moderate ICV

10 30 60

997 CFEV

Riparian - Lower ICV

0 0 0

1000 Biogeography

Centres of endemism for flora

30 55 80

1001 Biogeography

Centres of endemism for fauna

30 55 80

1002 Biogeography

Sites of species richness - flora

30 55 80

1003 Biogeography

Indicative highly species rich sites - fauna

30 55 80

1004 Biogeography

Primitive and relictual flora

30 55 80

1005 Biogeography

Primitive and relictual fauna

30 55 80

1006 Biogeography

Limit of range - flora

30 55 80

1007 Biogeography

Limit of range - fauna

30 55 80

1008 Biogeography

Sites of plant community richness

30 55 80

1009 Biogeography

Refugia - past processes

60 80 100

1010 Biogeography

Refugia - contemporary

60 80 100

1011 Biogeography

Distinctiveness of areas of threatened and uncommon plant species - Medium

30 55 80

1012 Biogeography

Distinctiveness of areas of threatened and uncommon plant species - High

60 80 100

1013 Biogeography

Distinctiveness of areas of threatened and uncommon plant species - Very High

80 90 100

1014 Biogeography

Distinctiveness of areas of threatened and uncommon plant species - only location for a species

80 90 100

49

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high

10110 Land Units Lowland Lowland Tertiary basalt gorge

6605 10 20 30

10121 Land Units Lowland Lowland Tertiary basalt slope - N-facing

4883 10 20 30

10123 Land Units Lowland Lowland Tertiary basalt slope - S-facing

6282 10 20 30

10125 Land Units Lowland Lowland Tertiary basalt flats

25791 10 20 30

10132 Land Units Lowland Lowland Tertiary basalt ridge

2578 10 20 30

10210 Land Units Lowland Lowland Cambrian basic igneous gorge

3452 10 20 30

10221 Land Units Lowland Lowland Cambrian basic igneous slope - N-facing

1196 10 20 30

10223 Land Units Lowland Lowland Cambrian basic igneous slope - S-facing

1142 10 20 30

10225 Land Units Lowland Lowland Cambrian basic igneous flats

2222 10 20 30

10310 Land Units Lowland Lowland Jurassic dolerite gorge

35531 10 20 30

10321 Land Units Lowland Lowland Jurassic dolerite slope - N-facing

16675 10 20 30

10323 Land Units Lowland Lowland Jurassic dolerite slope - S-facing

20579 10 20 30

10325 Land Units Lowland Lowland Jurassic dolerite flats

35099 10 20 30

10332 Land Units Lowland Lowland Jurassic dolerite ridge

4128 10 20 30

10410 Land Units Lowland Lowland Devonian and Cambrian granite gorge

18533 10 20 30

10421 Land Units Lowland Lowland Devonian and Cambrian granite slope - N-facing

11115 10 20 30

10423 Land Units Lowland Lowland Devonian and Cambrian granite slope - S-facing

12492 10 20 30

10425 Land Units Lowland Lowland Devonian and Cambrian granite flats

71255 10 20 30

10432 Land Units Lowland Lowland Devonian and Cambrian granite ridge

1751 10 20 30

10510 Land Units Lowland Lowland Ordovician limestone gorge

3765 10 20 30

10521 Land Units Lowland Lowland Ordovician limestone slope - N-facing

1459 10 20 30

10523 Land Units Lowland Lowland Ordovician limestone slope - S-facing

1554 10 20 30

10525 Land Units Lowland Lowland Ordovician limestone flats

8976 10 20 30

10610 Land Units Lowland Lowland Mathinna sediments gorge

8068 10 20 30

10621 Land Units Lowland Lowland Mathinna sediments slope - N-facing

5450 10 20 30

10623 Land Units Lowland Lowland Mathinna sediments slope - S-facing

4736 10 20 30

10625 Land Units Lowland Lowland Mathinna sediments flats

39077 10 20 30

10632 Land Units Lowland Lowland Mathinna sediments ridge

989 10 20 30

10710 Land Units Lowland Lowland Triassic sediments gorge

14212 10 20 30

10721 Land Units Lowland Lowland Triassic sediments slope - N-facing

8451 10 20 30

10723 Land Units Lowland Lowland Triassic sediments slope - S-facing

8210 10 20 30

10725 Land Units Lowland Lowland Triassic sediments flats

30974 10 20 30

10732 Land Units Lowland Lowland Triassic sediments ridge

1006 10 20 30

10810 Land Units Lowland Lowland Permian sediments gorge

16197 10 20 30

10821 Land Units Lowland Lowland Permian sediments slope - N-facing

8621 10 20 30

50

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high

10823 Land Units Lowland Lowland Permian sediments slope - S-facing

8179 10 20 30

10825 Land Units Lowland Lowland Permian sediments flats

19908 10 20 30

10832 Land Units Lowland Lowland Permian sediments ridge

1391 10 20 30

10910 Land Units Lowland Lowland Cambrian and Precambrian sediments gorge

48800 10 20 30

10921 Land Units Lowland Lowland Cambrian and Precambrian sediments slope - N-facing

17958 10 20 30

10923 Land Units Lowland Lowland Cambrian and Precambrian sediments slope - S-facing

18354 10 20 30

10925 Land Units Lowland Lowland Cambrian and Precambrian sediments flats

82699 10 20 30

10932 Land Units Lowland Lowland Cambrian and Precambrian sediments ridge

3572 10 20 30

11010 Land Units Lowland Lowland Tertiary sediments gorge

13409 10 20 30

11021 Land Units Lowland Lowland Tertiary sediments slope - N-facing

11617 10 20 30

11023 Land Units Lowland Lowland Tertiary sediments slope - S-facing

10622 10 20 30

11025 Land Units Lowland Lowland Tertiary sediments flats

91486 10 20 30

11032 Land Units Lowland Lowland Tertiary sediments ridge

2476 10 20 30

11110 Land Units Lowland Lowland Quaternary sediments gorge

29741 10 20 30

11121 Land Units Lowland Lowland Quaternary sediments slope - N-facing

22410 10 20 30

11123 Land Units Lowland Lowland Quaternary sediments slope - S-facing

14997 10 20 30

11125 Land Units Lowland Lowland Quaternary sediments flats

475368 10 20 30

11132 Land Units Lowland Lowland Quaternary sediments ridge

2493 10 20 30

11210 Land Units Lowland Lowland Ordovician conglomerates and Precambrian metamorphics gorge

23919 10 20 30

11221 Land Units Lowland Lowland Ordovician conglomerates and Precambrian metamorphics slope - N-facing

7045 10 20 30

11223 Land Units Lowland Lowland Ordovician conglomerates and Precambrian metamorphics slope - S-facing

9206 10 20 30

11225 Land Units Lowland Lowland Ordovician conglomerates and Precambrian metamorphics flats

57054 10 20 30

11232 Land Units Lowland Lowland Ordovician conglomerates and Precambrian metamorphics ridge

1125 10 20 30

20110 Land Units Mid elevation Mid elevation Tertiary basalt gorge

28282 10 20 30

20121 Land Units Mid elevation Mid elevation Tertiary basalt slope - N-facing

38808 10 20 30

20123 Land Units Mid elevation Mid elevation Tertiary basalt slope - S-facing

39165 10 20 30

20125 Land Units Mid elevation Mid elevation Tertiary basalt flats

117281 10 20 30

20132 Land Units Mid elevation Mid elevation Tertiary basalt ridge

45356 10 20 30

20210 Land Units Mid elevation Mid elevation Cambrian basic igneous gorge

22617 10 20 30

20221 Land Units Mid elevation Mid elevation Cambrian basic igneous slope - N-facing

13732 10 20 30

51

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high

20223 Land Units Mid elevation Mid elevation Cambrian basic igneous slope - S-facing

13832 10 20 30

20225 Land Units Mid elevation Mid elevation Cambrian basic igneous flats

14223 10 20 30

20232 Land Units Mid elevation Mid elevation Cambrian basic igneous ridge

11468 10 20 30

20310 Land Units Mid elevation Mid elevation Jurassic dolerite gorge

168599 10 20 30

20321 Land Units Mid elevation Mid elevation Jurassic dolerite slope - N-facing

135928 10 20 30

20323 Land Units Mid elevation Mid elevation Jurassic dolerite slope - S-facing

163291 10 20 30

20325 Land Units Mid elevation Mid elevation Jurassic dolerite flats

169675 10 20 30

20332 Land Units Mid elevation Mid elevation Jurassic dolerite ridge

173617 10 20 30

20410 Land Units Mid elevation Mid elevation Devonian and Cambrian granite gorge

56548 10 20 30

20421 Land Units Mid elevation Mid elevation Devonian and Cambrian granite slope - N-facing

45860 10 20 30

20423 Land Units Mid elevation Mid elevation Devonian and Cambrian granite slope - S-facing

38568 10 20 30

20425 Land Units Mid elevation Mid elevation Devonian and Cambrian granite flats

52181 10 20 30

20432 Land Units Mid elevation Mid elevation Devonian and Cambrian granite ridge

41439 10 20 30

20510 Land Units Mid elevation Mid elevation Ordovician limestone gorge

9251 10 20 30

20521 Land Units Mid elevation Mid elevation Ordovician limestone slope - N-facing

5650 10 20 30

20523 Land Units Mid elevation Mid elevation Ordovician limestone slope - S-facing

5771 10 20 30

20525 Land Units Mid elevation Mid elevation Ordovician limestone flats

10026 10 20 30

20532 Land Units Mid elevation Mid elevation Ordovician limestone ridge

1546 10 20 30

20610 Land Units Mid elevation Mid elevation Mathinna sediments gorge

40471 10 20 30

20621 Land Units Mid elevation Mid elevation Mathinna sediments slope - N-facing

26916 10 20 30

20623 Land Units Mid elevation Mid elevation Mathinna sediments slope - S-facing

25897 10 20 30

20625 Land Units Mid elevation Mid elevation Mathinna sediments flats

24334 10 20 30

20632 Land Units Mid elevation Mid elevation Mathinna sediments ridge

32204 10 20 30

20710 Land Units Mid elevation Mid elevation Triassic sediments gorge

61540 10 20 30

20721 Land Units Mid elevation Mid elevation Triassic sediments slope - N-facing

55403 10 20 30

20723 Land Units Mid elevation Mid elevation Triassic sediments slope - S-facing

48918 10 20 30

20725 Land Units Mid elevation Mid elevation Triassic sediments flats

81303 10 20 30

20732 Land Units Mid elevation Mid elevation Triassic sediments ridge

34874 10 20 30

20810 Land Units Mid elevation Mid elevation Permian sediments gorge

62928 10 20 30

20821 Land Units Mid elevation Mid elevation Permian sediments slope - N-facing

56279 10 20 30

20823 Land Units Mid elevation Mid elevation Permian sediments slope - S-facing

41585 10 20 30

20825 Land Units Mid elevation Mid elevation Permian sediments flats

44264 10 20 30

52

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high

20832 Land Units Mid elevation Mid elevation Permian sediments ridge

30538 10 20 30

20910 Land Units Mid elevation Mid elevation Cambrian and Precambrian sediments gorge

203614 10 20 30

20921 Land Units Mid elevation Mid elevation Cambrian and Precambrian sediments slope - N-facing

132061 10 20 30

20923 Land Units Mid elevation Mid elevation Cambrian and Precambrian sediments slope - S-facing

127189 10 20 30

20925 Land Units Mid elevation Mid elevation Cambrian and Precambrian sediments flats

193996 10 20 30

20932 Land Units Mid elevation Mid elevation Cambrian and Precambrian sediments ridge

133485 10 20 30

21010 Land Units Mid elevation Mid elevation Tertiary sediments gorge

9814 10 20 30

21021 Land Units Mid elevation Mid elevation Tertiary sediments slope - N-facing

13619 10 20 30

21023 Land Units Mid elevation Mid elevation Tertiary sediments slope - S-facing

10607 10 20 30

21025 Land Units Mid elevation Mid elevation Tertiary sediments flats

137013 10 20 30

21032 Land Units Mid elevation Mid elevation Tertiary sediments ridge

12557 10 20 30

21110 Land Units Mid elevation Mid elevation Quaternary sediments gorge

96378 10 20 30

21121 Land Units Mid elevation Mid elevation Quaternary sediments slope - N-facing

60797 10 20 30

21123 Land Units Mid elevation Mid elevation Quaternary sediments slope - S-facing

41012 10 20 30

21125 Land Units Mid elevation Mid elevation Quaternary sediments flats

281894 10 20 30

21132 Land Units Mid elevation Mid elevation Quaternary sediments ridge

17704 10 20 30

21210 Land Units Mid elevation Mid elevation Ordovician conglomerates and Precambrian metamorphics gorge

102818 10 20 30

21221 Land Units Mid elevation Mid elevation Ordovician conglomerates and Precambrian metamorphics slope - N-facing

51404 10 20 30

21223 Land Units Mid elevation Mid elevation Ordovician conglomerates and Precambrian metamorphics slope - S-facing

55559 10 20 30

21225 Land Units Mid elevation Mid elevation Ordovician conglomerates and Precambrian metamorphics flats

62111 10 20 30

21232 Land Units Mid elevation Mid elevation Ordovician conglomerates and Precambrian metamorphics ridge

77806 10 20 30

30110 Land Units Upland Upland Tertiary basalt gorge

3971 10 20 30

30121 Land Units Upland Upland Tertiary basalt slope - N-facing

6699 10 20 30

30123 Land Units Upland Upland Tertiary basalt slope - S-facing

7885 10 20 30

30125 Land Units Upland Upland Tertiary basalt flats

67113 10 20 30

30132 Land Units Upland Upland Tertiary basalt ridge

10356 10 20 30

30210 Land Units Upland Upland Cambrian basic igneous gorge

2377 10 20 30

30221 Land Units Upland Upland Cambrian basic igneous slope - N-facing

2861 10 20 30

30223 Land Units Upland Upland Cambrian basic igneous slope - S-facing

2213 10 20 30

30225 Land Units Upland Upland Cambrian basic igneous flats

3896 10 20 30

53

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high

30232 Land Units Upland Upland Cambrian basic igneous ridge

6193 10 20 30

30310 Land Units Upland Upland Jurassic dolerite gorge

32268 10 20 30

30321 Land Units Upland Upland Jurassic dolerite slope - N-facing

46389 10 20 30

30323 Land Units Upland Upland Jurassic dolerite slope - S-facing

62695 10 20 30

30325 Land Units Upland Upland Jurassic dolerite flats

103566 10 20 30

30332 Land Units Upland Upland Jurassic dolerite ridge

75247 10 20 30

30410 Land Units Upland Upland Devonian and Cambrian granite gorge

7552 10 20 30

30421 Land Units Upland Upland Devonian and Cambrian granite slope - N-facing

8789 10 20 30

30423 Land Units Upland Upland Devonian and Cambrian granite slope - S-facing

9151 10 20 30

30425 Land Units Upland Upland Devonian and Cambrian granite flats

13216 10 20 30

30432 Land Units Upland Upland Devonian and Cambrian granite ridge

18841 10 20 30

30500 Land Units Upland Upland Ordovician limestone gorge

1952 10 20 30

30610 Land Units Upland Upland Mathinna sediments gorge

3159 10 20 30

30621 Land Units Upland Upland Mathinna sediments slope - N-facing

3999 10 20 30

30623 Land Units Upland Upland Mathinna sediments slope - S-facing

3474 10 20 30

30625 Land Units Upland Upland Mathinna sediments flats

4828 10 20 30

30632 Land Units Upland Upland Mathinna sediments ridge

10272 10 20 30

30710 Land Units Upland Upland Triassic sediments gorge

12364 10 20 30

30721 Land Units Upland Upland Triassic sediments slope - N-facing

13631 10 20 30

30723 Land Units Upland Upland Triassic sediments slope - S-facing

13911 10 20 30

30725 Land Units Upland Upland Triassic sediments flats

17326 10 20 30

30732 Land Units Upland Upland Triassic sediments ridge

14853 10 20 30

30810 Land Units Upland Upland Permian sediments gorge

14709 10 20 30

30821 Land Units Upland Upland Permian sediments slope - N-facing

14608 10 20 30

30823 Land Units Upland Upland Permian sediments slope - S-facing

12894 10 20 30

30825 Land Units Upland Upland Permian sediments flats

12375 10 20 30

30832 Land Units Upland Upland Permian sediments ridge

15452 10 20 30

30910 Land Units Upland Upland Cambrian and Precambrian sediments gorge

19688 10 20 30

30921 Land Units Upland Upland Cambrian and Precambrian sediments slope - N-facing

19060 10 20 30

30923 Land Units Upland Upland Cambrian and Precambrian sediments slope - S-facing

18383 10 20 30

30925 Land Units Upland Upland Cambrian and Precambrian sediments flats

21976 10 20 30

30932 Land Units Upland Upland Cambrian and Precambrian sediments ridge

60002 10 20 30

31000 Land Units Upland Upland Tertiary sediments gorge

540 10 20 30

54

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high

31110 Land Units Upland Upland Quaternary sediments gorge

26599 10 20 30

31121 Land Units Upland Upland Quaternary sediments slope - N-facing

25250 10 20 30

31123 Land Units Upland Upland Quaternary sediments slope - S-facing

22252 10 20 30

31125 Land Units Upland Upland Quaternary sediments flats

57791 10 20 30

31132 Land Units Upland Upland Quaternary sediments ridge

16639 10 20 30

31210 Land Units Upland Upland Ordovician conglomerates and Precambrian metamorphics gorge

10628 10 20 30

31221 Land Units Upland Upland Ordovician conglomerates and Precambrian metamorphics slope - N-facing

8718 10 20 30

31223 Land Units Upland Upland Ordovician conglomerates and Precambrian metamorphics slope - S-facing

9064 10 20 30

31225 Land Units Upland Upland Ordovician conglomerates and Precambrian metamorphics flats

13708 10 20 30

31232 Land Units Upland Upland Ordovician conglomerates and Precambrian metamorphics ridge

40269 10 20 30

40100 Land Units Alpine Alpine Tertiary basalt gorge

679 10 20 30

40125 Land Units Alpine Alpine Tertiary basalt flats

7379 10 20 30

40200 Land Units Alpine Alpine Cambrian basic igneous gorge

557 10 20 30

40310 Land Units Alpine Alpine Jurassic dolerite gorge

13448 10 20 30

40321 Land Units Alpine Alpine Jurassic dolerite slope - N-facing

20229 10 20 30

40323 Land Units Alpine Alpine Jurassic dolerite slope - S-facing

30329 10 20 30

40325 Land Units Alpine Alpine Jurassic dolerite flats

90929 10 20 30

40332 Land Units Alpine Alpine Jurassic dolerite ridge

48369 10 20 30

40400 Land Units Alpine Alpine Devonian and Cambrian granite slope - N-facing

201 10 20 30

40710 Land Units Alpine Alpine Triassic sediments gorge

682 10 20 30

40721 Land Units Alpine Alpine Triassic sediments slope - N-facing

1489 10 20 30

40723 Land Units Alpine Alpine Triassic sediments slope - S-facing

1152 10 20 30

40725 Land Units Alpine Alpine Triassic sediments flats

1940 10 20 30

40732 Land Units Alpine Alpine Triassic sediments ridge

4750 10 20 30

40810 Land Units Alpine Alpine Permian sediments gorge

592 10 20 30

40821 Land Units Alpine Alpine Permian sediments slope - N-facing

1754 10 20 30

40823 Land Units Alpine Alpine Permian sediments slope - S-facing

1100 10 20 30

40825 Land Units Alpine Alpine Permian sediments flats

1503 10 20 30

40832 Land Units Alpine Alpine Permian sediments ridge

4388 10 20 30

40900 Land Units Alpine Alpine Cambrian and Precambrian sediments gorge

8530 10 20 30

41000 Land Units Alpine Alpine Tertiary sediments slope - N-facing

596 10 20 30

41110 Land Units Alpine Alpine Quaternary sediments gorge

4611 10 20 30

41121 Land Units Alpine Alpine Quaternary sediments slope - N-facing

7902 10 20 30

55

Asset #


StateStatus

National Status

Total area (ha)

Target - low

Target - med

Target - high

41123 Land Units Alpine Alpine Quaternary sediments slope - S-facing

4641 10 20 30

41125 Land Units Alpine Alpine Quaternary sediments flats

20412 10 20 30

41132 Land Units Alpine Alpine Quaternary sediments ridge

9589 10 20 30

41200 Land Units Alpine Alpine Ordovician conglomerates and Precambrian metamorphics gorge

1852 10 20 30

41225 Land Units Alpine Alpine Ordovician conglomerates and Precambrian metamorphics flats

1169 10 20 30

41232 Land Units Alpine Alpine Ordovician conglomerates and Precambrian metamorphics ridge

4959 10 20 30

Key to bioregion codes: BL – Ben Lomond, CH – Central Highlands, FL – Flinders, KI – King, NM – Northern Midlands, NS – Northern Slopes, SE – South East, SR

– Southern Ranges, WSW – West/South West

Key to community status codes: R – rare, V – vulnerable, E – endangered, CE – critically endangered, U – under-reserved (also lowercase r,v,e)

priority areas for biodiversity conservation in tasmania · pdf file2 introduction this report...

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