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EXAMINING FOREST RECOVERY THROUGH SOIL SURVEYS:
A Study at the Firestone Center for Restoration Ecology in Costa Rica
Garwen Chen and Sarah Mahlab, PO’09
Environmental Analysis Senior Thesis
Jonathan Wright and Rick Hazlett Pomona College 2008
1
ABSTRACT Humans have been altering tropical forest landscapes for centuries, most destructively
through widespread deforestation, which among other things, results in severe soil degradation
and reduced biodiversity. The purpose of this study was to compare the physical and chemical
properties of soil, along with the invertebrate communities in the soil in eight habitats with
different historical levels of human disturbances and in different stages of recovery. In addition,
a plot of naturally regenerated forest was examined in more detail to relate our study to the forest
recovery process. The study was done at the Firestone Center for Restoration Ecology in
southwestern Costa Rica from June 1 to July 31, 2008.
2
TABLE OF CONTENTS Abstract ii Introduction 1 Loss of native habitats due to human disturbance 1 Tropical forest recovery 2 Value of secondary forests 3 Limitations and challenges of forest recovery 4 Land restoration and management 5 Nature and function of soil 6 Table 1: Essential plant nutrients and their function 7 Importance of soil fauna 8 Table 2: Soil invertebrate and microbial functional groups for common ecosystem processes
in the soil 10
Land use impacts on soil 11 Soil restoration and conservation 14 This study 14 Materials and Methods 15 Site description 15 Figure 1: Map of Firestone Center for Restoration Ecology property 16 Habitat types 17 Figure 2: Photos of habitats 18 Study plot 1 18 Figure 3: Study Plot 1 19 Figure 4: Location of sampled bamboo and nonbamboo sites within plot 1 19 Adjacent pastures and Hacienda Baru 20 Overview of methods 21 Field Sampling 21 Physical analysis 22 Chemical analysis 22 Biological analysis 23 Data analysis 23 Results 23 Physical properties 23 Table 3: Physical properties of soil according to habitat onsit 24 Figure 5: Percent sand, silt and clay in soil according to habitat. These percentages were used
to determine the soil texture 24
Figure 6: pH, soil bulk density and moisture content according to habitat 25 Table 4: Physical properties of soils in nonbamboo and bamboo areas of naturally
regenerated forests 25
Chemical properties 25 Table 5: Chemical properties of soil according to habitat. Macronutrients and micronutrients
listed are essential for plant growth 26
Table 6: Important trace elements in soils of nonbamboo and bamboo areas of naturally regenerated forests
27
Bamboo Foliar analysis 27 Table 7: Amount of trace elements in Guadua angustifolia and Bambusa vulgaris leaves 28
3
Offsites 28 Table 8: Physical properties of soil in offsite samples 28 Table 9: Amounts of trace elements in the soils of nearby pastures and Hacienda Baru
transect 29
Invertebrate communities 29 Table 10: Number of individuals in each taxonomic group in litter samples, according to
habitat. Bold taxon represent categories 30
Figure 7: Abundance of major orders in litter sample according to habitat 31 Table 11: Abundance of individuals in dry extraction samples according to order, according
to habitat 32
Figure 8: Abundance of major orders in dry extraction sample according to habitat 33 Figure 9: Simpson’s Index of Diversity in litter and dry extraction samples according to
habitat 34
Figure 10: Species Richness in litter and dry extraction samples according to habitat 35 Table 12: Invertebrate species abundance in nonbamboo and bamboo area 36
Figure 11: Common invertebrate abundance in nonbamboo and bamboo areas of naturally regenerated forest
37
Figure 12: Simpson’s Index of Diversity in litter and dry extraction samples in naturally regenerated secondary forests
38
Figure 13: Species richness in litter and dry extraction samples in naturally regenerated secondary forests
39
Discussion 39 Primary forest vs. grazed pasture 40 Naturally regenerated forest vs. hardwood forest vs. recovering pasture 42 Thick bamboo vs. thin bamboo vs. banana plantation 43 Offsite sampling 46 Naturally regenerated forests 47 Table 12: Comparison of macro and micronutrients between plot 1 nonbamboo and bamboo
soils, other soils in the naturally regenerated forests, and primary forests 48
Plot 1 49 Land use and forest recovery 50 Limitations and Recommendations 52 Future studies 52 Conclusions 53 Acknowledgements 53 References 54 Appendices
4
INTRODUCTION
“Ultimately, the future of a natural ecosystem depends not on protection from humans but on its relationship with the people who inhabit it or share the landscape with it”
–William R. Jordan III, a founder of the field of restoration ecology
Loss of native habitats due to human disturbance
Humans have been altering tropical forest landscapes for centuries. Of all of the
interactions between humans and tropical forests, deforestation is the most detrimental. The
impacts of deforestation have been well documented in terms of the dramatic loss of
biodiversity, increase in greenhouse gas concentrations in the atmosphere, changes in the
hydrological cycle and accelerated soil erosion, among other things. Tropical forests are being
cleared at an alarming rate although our understanding of their ecology is still limited. An
estimated 60% of the world’s tropical forests were classified as degraded forests in 2000. This
included secondary forests, degraded primary forests, and degraded forest land (ITTO 2002).
Today, rainforests cover only 6% of the total land surface on the globe while at one point, they
covered more than 14% of the world’s land mass (Rain-tree 1996). Between 2000 and 2005,
tropical deforestation rates increased by 8.5%. During that same time period, over 10.4 million
hectares of tropical rainforest were destroyed worldwide (WRI 2008). Although net forest areas
in North American and European countries are more stable or increasing, forest area continues to
decline in other continents (Figure 1). It has been estimated that the remaining forest will
disappear within 40 years at the current rate of destruction (Rain-tree 1996).
Figure 1: Annual net forest loss by region in 2007 (WRI 2008).
In Costa Rica, the rate of conversion of forest to other uses was 600 square km per year,
amounting to an annual loss of 3.9% of their tropical forest in 1982. Between 1941 and 1983,
5
Costa R en the
oll 1999).
of plant litter inputs, and abundance of predators (Camilo and
Zou 2001). The loss of habitat will have a greater effect on terrestrial ecosystems in the tropics
climate change, increasing carbon dioxide levels, or invasive species
(Sala e h
y
ession
such as wind storms, hurricanes, cyclones,
lightnin t of
ata
ica lost 83% of its tropical forested land (Reiners et al.1994). Cattle grazing has be
main cause of deforestation in Latin American for the past few decades (Amelung & Diehl
1992). Costa Rica was once almost entirely forested, but is now almost half covered by pasture
(WRI 1994). It has experienced excessive erosion and highly reduced water quality (H
As seen in Costa Rica, lowland tropical rainforests are particularly vulnerable to habitat loss due
to its accessibility to the expanding human population and our needs.
While natural disturbances are integral parts of ecosystem processes which disrupt
organism populations, communities, and ecosystem structure, human disturbances remove
significant biomass by changing the physical environment or resource availability at unnatural
and hazardous rates. The conversion of tropical forest to pasture for cattle farming or
agricultural purposes removes resources from the basal trophic levels, which directly influences
the abundance and diversity of soil fauna by altering soil physical properties, microclimate
conditions, quantity and quality
than other factors such as
t al., 2000). Many of the consequences of deforestation are deeply troubling althoug
many people are most concerned about the loss of global biodiversity, since the tropics support
most of the diversity on Earth. It is estimated that 50,000 species are lost each year due to
deforestation (Rain-tree 1996).
Tropical forest recovery
Traditionally, forest recovery is viewed in the context of primary versus secondar
succession. Primary succession follows disturbances where soils are removed or buried, leaving
substrate without organic matter and open to colonization (Walker 1999). Secondary succ
follows disturbances that leave the soil intact,
g, fire or biotic disturbances (Whitmore & Burslem 1998). Depending on the exten
soil degradation and remnant vegetation, anthropogenic disturbances can cause either type of
succession (Chazdon 2003). Remnant vegetation plays a crucial role in forest recovery,
promoting rapid increases in species richness, tree density and aboveground biomass (Guarigu
& Ostertag 2001). Other factors that affect forest recovery include the spatial extent and
frequency of disturbances (Chazdon 2003).
6
Different methods can be used to measure forest recovery. Many studies focus on
structural measures of recovery that directly relate to ecosystem function such as basal area,
aboveground biomass, tree height, or stem density (Chazdon 2003). Changes in canopy
structure, frequency and size of canopy gaps, and light availability during forest recovery can
also be trients,
& Ostertag 2001). Pastures that have been subject to overgrazing, repeated weeding
and burning over long periods (>10 years) or have been bulldozed have very slow recovery or no
g-term use of pastures decreases the number of sprouting roots
and red
hrough
also
occur naturally given that seedling production is sufficient. The rate of forest recovery depend a
the seedlings including seed dispersal, seed predation, seedling
germin spects that
used to measure forest recovery (Denslow & Guzman 2000). Additionally, soil nu
carbon stocks, and nutrient cycling components can be used as indicators of recovery of
ecosystem functions (Hughes et al. 2002). It is practical to use multi-variate approaches to
examine patterns of species composition across stands differing in soils and land-use history.
The situation is complex, however, since recovery processes are influenced by the interactions
between historical land use and the natural forests (Thompson et al. 2002).
There are important biotic and abiotic factors that interact strongly with age since
abandonment and affect succession processes. Low prior-land use intensity, small recovering
areas, areas with fertile soil and have nearby remnant forests increase recovery rates dramatically
(Guariguata
recovery (Uhl et al. 1988). Lon
uces the number of tree seeds in soil, both factors essential for regeneration (Bertoncini
and Rodrigues, 2008). The recovery of aboveground biomass is inversely correlated with the
number of years of land use prior to abandonment, but not correlated with forest age (Hughes et
al. 1999).
Naturally regenerated forests
Natural reforestation refers to the process of allowing a given area or ecosystem that had
once been degraded, depleted, or destroyed to regenerate and return to its natural state t
time. These new re-grown forests are known as secondary forests. Third growth forests can
result from severe disruptions in second growth forests. It is assumed that regeneration will
number of factors related to
ations, shade tolerance, survival and growth of seedlings. Other processes and a
affect forest succession include pollination, soil nutrient availability, soil compaction,
7
competition with pasture grass, seasonal drought, low rates of seed colonization, and abiotic
factors such as light, temperature, and moisture (Uhl 1987, Reiners et al. 1994, Aide et al. 199
Value of secondary forests
Secondary forests are important assets for conservation purposes. Ecological
characteristics of secondary forests allow secondary forests to contribute to the conservation o
biodiversity. Secondary forests have high growth rates, provide conditions suitable for
recolonization of mycorrhizae, and produce seeds that are widely dispersed and remain viable in
soil for several years. Secondary species can often germinate and grow on impoverished soils.
Secondary forests serve as foster ecosystems for valuable late secondary species, reduce pest
populations, restore site productivity and provide conditions that help improve soil and w
quality, conserving nutrients, moisture, and soil organic material, all which contribute to the
conservation
6).
f
ater
of biodiversity. Serving as nutrient sinks, they accumulate nutrients rapidly with
time in vegetation, litter, and soil (Brown and Lugo, 1990). Young trees tend to accumulate
ich tend to reuse nutrients (Bowen and Nambiar
1984).
n and
ere
d
rsity
within the first 10-15 years of recovery was dominated by herbaceous vegetation. However,
more nutrients than old trees of older forests wh
The litter production in younger secondary forests (<20 years) is a higher fraction of the
net primary productivity; thus relatively more organic matter is produced and transferred to the
soil than is stored in above-ground vegetation. As a result, recovery of organic matter in soil of
secondary forests is relatively fast (~50 years). Nutrients are accumulated in secondary
vegetation and returned quickly by litterfall and decomposition for uptake by roots (Brow
Lugo 1990).
Limitations and challenges to forest recovery
Because successful recovery in tropical forests is dependent on a number of factors, th
are limits to recovery in tropical forests. Following abandonment of agriculture, degraded land
may fail to initiate recovery in circumstances with infertile soil, lack of residual vegetation an
sources of seed dispersal. In addition, invasive and exotic species may impede recovery of native
vegetation (Denslow et al. 2001). Aide et al. (1996) found that initial forest recovery in
abandoned pastures was slower than recovery following other human or natural disturbances and
that species invading in pasture recovery were different than the species in a natural recovery.
Their study found a strong correlation between plant diversity and recovery age. Plant dive
8
once shrubs and small trees began to establish themselves, the forest began to recover rap
and more tree growth was facilitated. When natural recovery cannot be initiated, restoration
efforts are needed to recover at least some of the fun
idly
ctions and diversity of the heavily degraded
tropical forests. In extreme cases, intervention is needed to restore species composition and soil
ely linked with recovery of aboveground biomass (Chazdon
2003). everely
he
y,
g
d
oration (Chazdon 2003). By examining land use patterns around the world, it is possible
to make connections between patterns in climate, hydrology, sedimentology, atmospheric
hemistry, sustainable productivity, soil properties and biodiversity (Reiners et al. 1994).
at in soils with similar parent material, the major differences in
their pr
al
fertility. Soil fertility recovery is clos
Restoration of soil fertility may be a prerequisite for forest recovery on sites with s
degraded soils and successional recovery is constrained by soil fertility and texture across
regions as well as across soil types within a region (Chazdon 2003). While wildlife and
vegetation management is central to tropical forest recovery and management, initial success in
tropical reforestation begins with land restoration.
Land restoration and management
It is important to understand the basic biology of an ecosystem in order to design
effective restoration strategies. Successful wildlife and vegetation recovery in tropical forests
depends directly on successful soil recovery. While the act of forest conversion to pasture is still
extremely pervasive, little attention has been devoted to finding what happens to the land, t
soil and the living communities in deforested areas that have been allowed to recover. Toda
even as widespread deforestation continues, some of the previously deforested land is growin
back into secondary forest, some is being used for tillage agriculture and the majority is being
transformed into actively grazed cattle pasture (Reiners et al. 1994). Rates of planting forests an
trees are increasing by 2.8 million ha/year, for purposes of production, as well as conservation
and rest
c
Reiners et al. (1994) found th
operties could be attributed to land use. To determine the best restoration strategies that
are site-specific and promote recovery processes, data on local ecology is necessary. Tropic
land restoration must first begin with data collection of the effects and existing conditions of the
soils.
9
Nature and function of soil
Soil is defined as the naturally occurring, unconsolidated cover of the earth, compose
air, water, mineral and organic components. Soil covers 1.2 x 10
d of 8 square kilometers of the
Earth’s y depends
y
lant growth and also the biogeochemical functions for the ecosystem
einers et al. 1994). Phosphorous availability, aluminum toxicity, the depth of water table, the
mount and arrangement of pores of different sizes, and the availability of base-metal cations
nd micronutrients such as boron and zinc in the soil, affect plant species composition most in
opical rainforest (Sollins 1998). The highest levels of both carbon and nitrogen, important
r in the top ten centimeters of forest soil (Reiners et
Plan nutrients for their biological processes, without which they
surface (Freckman et al. 1997). Because the survival of the ecosystem ultimatel
on the fertility of the soil, the value of soils is determined by its capacity to grow plants. Soils
function as a storehouse for water, air, and nutrients, and at the same time, remain permeable.
Furthermore, soils provide support to ground large trees in the land. The diverse and flexible
properties of soils are due to their physical and chemical properties along with biological
functions of the microbes in soil. Soil has often been referred to as our “most precious non-
renewable resource” (Giller 1996).
Soil is often overlooked when admiring the wonders of the tropical rainforest.
Supporting the most productive ecosystem on the planet, soils in the tropics tend to be highl
infertile, due to the high rates of rainfall that leach important nutrients. Soils in forested tropical
regions are classified as laterites, which fall into the soil order of Pedalfers. These soils are a
reddish brown color and contain abundant metal cations (Schaetzl and Anderson 2007).
Leaching by rain leaves high levels of less soluble minerals, such as Al3+ and Fe3+, in the A
horizon, which can often be toxic for plant roots (Reiners et al. 1994).
Soil properties greatly influence the species composition in the plant communities above
ground and by extension the species composition of the entire forest community. They are
indicators of fertility for p
(R
a
a
tr
nutrients for plant growth and function, occu
al. 1994). ts require 13 essential
cannot survive (Table 1).
10
Table 1: Essential function t
plant nutrients and theirNutrien Function in plant Nitrogen Proteins, amino acids Phosphorous
yst, ion transport alcium Cell wall component
Magne
Nucleic acids, ATP Potassium CatalC
sium Part of chlorophyll Sulfur Amino acids Iron Chlorophyll synthesis Copper Component of enzymes Manganese Activates enzymes Zinc Activates enzymes Boron Cell wall component Mo Involved in N fixation Chlorine Photosynthesis reaction (Motavallie et al. 2008)
In addition, plants gradually alter some properties of the soil in which they grow, so i
difficult to tell whether plants prefer certa
t is
in kinds of soil or create them (Sollins 1998). Plants
can cha f
roots
decreas
ontent,
ers,
of
r the forest. Because soils are thermally buffered from atmospheric temperature changes and
ases with depth (Giller 1996), it provides a constant habitat for
nge soil properties through root penetration, water extraction, anchorage and exudation o
compounds in the rhizosphere. In addition, dead roots and litter provide carbon directly into the
soil ecosystem (Angers and Caron 1998). Also, plant cover physically protects the soil from
rainfall and compaction, thus influencing the physical properties. A greater density of plants
results in a greater abundance of macropores in the soil, resulting in increased soil cohesion and
strength and decreased water content (Angers and Caron 1998). The presence of plant
es the possibility of soil erosion.
Giller (1996) found that physical properties of the soil, such as soil type, water c
relative humidity, nutrient concentration, texture, pore space, pH, soil atmosphere, depth of litter
layers, overlying vegetation, temperature variation and degree of bioturbation by macrofauna,
vary horizontally in a landscape. Factors such as soil texture, structural diversity of litter lay
pore size and soil atmosphere vary vertically as well. The physical and chemically properties
soil mirror the patchy nature of the high biodiversity in tropical forests (Giller 1996).
Instead of considering soils an abiotic factor in ecological communities, soil should be
viewed as living communities in themselves. Soils around the world support a diverse
community of invertebrates that invisibly perform many extremely important ecological services
fo
temperature variation decre
11
inverte to
e
e the
ready known, much of the diversity in soil invertebrates remain undescribed
(Freckm
rties
d
1996). In addition, the roles of soil microorganisms include biochemical decomposition and
onal
. 1991, 1 iota are c partially responsible
rnover, formation and decay of soil organic matte ion, N2O and N2
production, CO2 production lopment and stabilization, transport of
materials (particles, organisms or gas), oxygenation of soils, tra ation of
higher lean al. 1997).
brates. The O horizon is dominated by organic, decomposing material as opposed
mineral matter, which dominates the A layer of the soil and those below. The O layer can b
absent in areas with high decomposition rates, which is often the case in the tropics. Becaus
soils are thermally buffered against extreme atmospheric temperatures and moisture, they can
provide an ameliorated microclimate favorable for invertebrates (Schaetzl and Anderson 2007).
Importance of soil fauna
Diversity in soil invertebrates can mainly be attributed to high amounts of niche
partitioning and specialization in the tropics (Giller 1996). While extremely high levels of
diversity are al
an et al. 1997). Soil organisms play important roles in nutrient cycling, food webs, and
soil properties of tropical ecosystems. The ecological interactions between soil fauna, bacterial,
fungi, plants, and the stratum of soil in which they are found facilitate these processes. The
recycling of materials within the tropical ecosystem through soil food webs is closely related to
ecosystem resilience (Moore et al. 1988, 1993). Furthermore, structural properties and
biogeochemical fertility of soils are directly related to the biodiversity found within them (Silver
et al., 1996).
Although the functional roles of soil organisms in maintaining soil fertility and prope
are poorly understood, the close correlation between forest diversity and soil fertility attests to
the importance of maintaining a healthy and diverse soil biota (Swift and Anderson 1993). The
role of soil macrofauna include breakdown of physical structures such as wood and leaf litter an
inoculation of necro mass (Schaller 1968). Soil organisms are the primary decomposers in
forests ecosystems, decomposing 60 to 90% of terrestrial primary production in the soil (Giller
regulation of nutrient pools that facilitate vegetation establishment and further successi
stages (Lodge et al 994). To summarize, soil b ompletely or
for nutrient tu r, nitrogen fixat
nsport and degrad
and consumption, soil deve
pollutants, food for organisms and provisioning of c water (Freckman et
12
Table 2: Soil invertebrate and m on ecosystem processes in the soil Functional group ive ecosystem Organisms
icrobial functional groups for commRepresentatprocesses
Bioturbators cles and micro-
Oligochaetes, crustaceans, mollusks,
s, termites, t roots
Mix and redistribute organic matter, partiorganisms to depth earthworm
ants, planPrimary producers e Plants, plant roots
Shredders Rip and tear organic material to prepare it for decay by other organisms
Isopods, millipedes
Decom
Create new biomass, stabilizsoils
posers Return carbon and other essential nutrients to soils for primary production
Bacteria, fungi
Nitrogen Fixers Convert N2 into usable N Bacteria CO2 producers, trace gas production
Respiration, transfer of form of carbon, denitirication, N2O production
Bacteria
(Freckman et al. 1997)
Termites, millipedes, earthworms and isopods are among the most important decompose
groups (Brussaard 1997). More specifically, earthworms are vital not only because of their
decomposition capacity but also because of their role in redistributing and burying of plan
and regulation of soil carbon and nutrient levels. Earthworm castes are usually enriched with
nutrients such as C, N or P (Aira et al. 2008). They play an important role in nutrient cyc
and bioturbations, such as the creation of channels, pores and aggregates and mounds that
influence the transport of gases and water in the soil. On average, earthworms produce up to 2
tunnel openings per squ
r
t litter
ling,
20
are meter (3- 5 mm in diameter) and bring 10-500 tons per hectare per
year of
s
y
underground soil to the surface (Pimentel and Kounang 1998). As a result, earthworms
are important keystone species that indicate ecosystem status. Ants contribute as well to
bioturbations in the soil (Brussaard 1997), thus influencing the hydrology, aeration and gaseou
composition of the soil in which they live, all properties which are essential for primar
production and organic and nutrient turnover (Brussaard 1997). In addition, soil fauna influence
the percentage of litter mass loss and nitrogen mineralization rates at any given point in time
(González et al. 2001).
13
Physically, burrowing soil invertebrates aerate the soil by digging tunnels and increasi
rates of gas exchange. All of the important invertebrate groups were found in much higher
densities in the forested habitats than in the pasture and the other habitats with current human
impacts or recent histories of human land disturbance (Schaetzl and Anderson 2007).
Nematodes, unsegmented worms that occur in all sizes and trophic levels, are the most abundant
soil organism. They aid in nutrient cycling, help regulate microbial soil populations and transport
bacteria and fungus from one part of the soil to another.
Invertebrates fill a number of niches in the soil foodweb. They serve as root feeder
grazers, shredders and herbivore
ng
s,
s. Collembola and mites eat bacteria and fungi on and near the
roots o
es.
s
e mass of
e O or
per soil
sequently more susceptible to changes in
the physical structure and properties of the soil (Vos and Kooistra 1994). Soil fauna composition
thus varies with depth, since they have to adapt to different environmental pressures.
oil macroinvertebrates can also serve as bioindicators for soil classification,
(Giller 1996). Nematodes are the most numerous and diverse group of
soil org
f plants. The shredders reside closer to the surface of the soil. They shred plant litter as
they feed. Common shredders are millipedes, isopods, termites, some mites and cockroach
Common predators in the soil include spiders, ground beetles, centipedes, pseudoscorpions, ants
and mites, which prey on nematodes, earthworms and many other groups. All of these organism
mix and aerate the soil as they feed. Furthermore, soil organisms are important prey items for
other species of the tropical ecosystem such as birds, mammals, reptiles, and amphibians
(Schaetzl and Anderson 2007).
Giller et. al. (1996) found that there is a strong inverse relationship between th
accumulated organic material on the soil surface and total soil faunal biomass, due to the
abundance of available nutrients. Organisms in the litter layer or top-most layer (either th
A layer) are exposed to a more variable microclimate while organisms that live in dee
layers live in a more uniform environment but are con
S
disturbances and pollution
anisms and can be used as indicators for soil disturbances by pollution, erosion,
pesticides and water quality (Brussaard 1997). Nevertheless, soil fauna responses to
anthropogenic disturbances are poorly understood.
14
Land use impacts on soil
Previous studies looking at how land use impacts soil properties and invertebrate
communities found that conversion of forest to pasture causes substantial changes in soil acidity
base exchange, porosity, nitrogen mineralization and nitrification (Reiners et al. 1994). In
actively grazed pastures, trampling by cattle as a physical force reduces pore space and increas
soil bulk density. Due to this compaction pressure, pastures display a lower rate of soil mixin
by arthropods and small mammals. Also, actively grazed pastures were found to be lower in
acidity and display lower rates of productivity than primary forest. Soil moisture fluctuated
more in the open pasture due to its high levels of sun exposure and thus could influence the r
of decomposition and nutrient cycling. The nature of the vegetation also influenced t
,
es
g
ates
he rates of
nutrien
r,
. Most evidence shows that disturbances, especially in land
manage nd
and
d
t cycling, since grasses cycle base cations more rapidly and generate fewer and less
persistent organic acids than do forests. Johnson et al. (1997) found that total soil carbon was
progressively less in grassland plots compared to carbon abundance in edge plots and intact
forest plots. The same study found that grassland plots had significantly higher iron, coppe
nickel and lead concentrations than forest plots (Johnson et al. 1997). Most importantly, it was
found that land conversion could result in decreased levels of phosphorous, one of the most
limiting of all the macronutrients required for plant growth (Cleveland et al. 2003).
Cleveland et al. (2003) found that when forest was converted to pasture the total soil
organic matter decreased, the amount of radioactive and chemically active trace gas emissions
increased, there was a change in the hydrologic cycle and losses of important limiting elements
were elevated due to leaching
ment, result in reduced diversity in soil communities (Giller 1996). Giller (1996) fou
that quarrying, tillage, increased stocking rates of domestic animals, manure application
burning tussock heath vegetation all lead to changes in community composition and reduce
alpha diversity, defined as the number of species in the area, and biomass in soil invertebrate
communities. Clearing of forest followed by intense cultivation in the tropics led to a decrease in
biomass of 6%, diversity of 17% and taxon richness by 50% of that of the original primary forest
communities (Giller 1996).
Arthropods are easily affected by land use changes because of potential exposure to
unfavorable environmental conditions, such as desiccation, mechanical destruction, soil
compaction or reduced pore volume and disruption of access to food resources. And since
15
biodiversity of soil communities is so important for ecosystem processes, such as decomposition
and nutrient cycling, forest disturbance can be highly detrimental (Giller 1996). Changes
microbial communities because of land use result in a change in the biogeochemical cycles of th
area (Cleveland et al. 2003).
Each year, 75 billion tons of soil is eroded around the world, resulting in a net loss, since
soil forms at an extremely slow rate (Pimentel and Kounang 1998). Deforestation is one of the
leading causes of soil erosion, resulting in land with decreased productivity and diversity of
plants, invertebrates and microorganisms. Areas that lack vegetation cover and roots th
in
e
at anchor
the soil in place are more susceptible to erosion by wind and rain,. In the U.S., cropland
oil due to erosion, while pasture land is second. Each year,
pasture
.05
(nitrogen,
f contamination. Principle approaches include erosion
preven
ssessments
to evaluate current soil conditions and to provide a baseline in which other studies can build on
evaluate recovery process.
experiences the greatest loss of tops
s in the U.S. lose an estimated 6 tons of soil per hectare, although this rate can increase
with overgrazing (Pimentel and Kounanag 1998). By contrast, a forest only loses 0.004 to 0
tons of soil per hectare per year. Sediment that is washed away in erosive processes contains up
to three times the amount of essential macronutrients for plants as the soil left behind
phosphorous, and calcium), compounding the costs of soil biodiversity and fertility.
Soil restoration and conservation
Soil restoration and conservation involves management strategies for restoring soils or
preventing soils from being physically eroded or becoming chemically altered by overuse,
salinization, acidification, or other types o
tion, acidity control, salinity management, prevention and remediation of soil
contamination, mineralization, choice of vegetative cover, and tracking soil organism
populations and species richness. As soil is the basis for the ecosystem, soil restoration and
conservation is important for forest restoration. To allow the ecosystem to thrive, the structural
degradation must first be evaluated and fixed. Thus, it is important to perform soil a
to track and
Soil degradation was found to be a significant barrier in the recovery of abandoned
pastures to forest (Aide et al. 1996). In order to facilitate recovery, the study suggests that
species such as Miconia prasina be planted to initiate canopy cover and provide a favorable
16
microclimate for other tree species. These plants can also provide physical stabilization fro
material. Many restoration efforts can be made to regrow forests from pasture land.
This study
The purpose of this study was to examine the impacts of land use on the soil and th
communities in a tropical rainforest on the Firestone Reserve for Restoration ecology, located in
southwestern Costa Rica. Comparisons were made between the physical properties, chemical
properties and invertebrate communities in eight different habitats with unique land use histories
The eight habitats were primary forest, a naturally regenerated secondary forest, a planted
hardwood secondary forest, a banana plantation, two different species of bamboo, one of which
was being actively managed and harvested, the other which was let to grow free, a pasture that
has been recovering for four years and recently grazed pasture. More specifically, we exam
the soil properties in a study plot that has been used for vege
m root
e soil
.
ined
tation studies in the naturally
regene ts
ersity
ave
chemical
structu
t,
rated forest in more detail. This was done to provide specific soil data for the study plo
so that future studies can use this baseline data to design studies to measure and evaluate the
recovery process of the naturally regenerated areas of the Firestone Reserve. Moisture content,
soil bulk density, relative particle size, color, pH, soil compaction, depth of the organic layer
were among the physical properties measured. The concentrations of many nutrients and trace
elements of the soil parent material were collected. Finally, invertebrate abundance and div
in the litter and the soils were measured at each site to see how human disturbances h
impacted the living soil fauna.
Our study addresses three main questions: 1) How do the soil physical and
re along with soil invertebrate abundance and diversity vary in the eight different habitats?
Specifically, how do physical and chemical properties of soil and invertebrate soil communities
vary between a) the primary forest and the pasture, b) the naturally regenerated secondary fores
the hardwood forest and the recovering pasture, c) the thick bamboo, thin bamboo and banana
plantation, and finally d) how do physical and chemical factors compare within the offsite
samples. 2) How do the physical and chemical properties, as well as the invertebrate
communities vary between bamboo and nonbamboo habitats in Plot 1? 3) Is Plot 1
representative of the larger naturally regenerated secondary forest on the FCRE?
17
This study also aims at providing baseline data from which future ecological studies can
be built and to which more soil data can be added. Based on previous studies, it was pr
that arthropod diversity and abundance would be lower in habitats with more intense land use.
Grazed pasture, thick bamboo, and recovering pasture have had the highest human impacts of all
the habitats, thus it was expected that these would show the greatest differences from
edicted
the other
less disturbed areas. Conversely, it was expected that the primary forest would show the greatest
vertebrate diversity and abundance. Since all of the habitats lie on soil with the similar
arental material, physical properties were not expected to vary widely. Compaction and soil
bulk density were the factors that were expected to vary the most, since direct use and trampling
ould cause these to be changed. The pH was expected to be lower in the pasture compared to
the forests. In Plot 1, we hypothesized that the chemical properties of the bamboo and
onbamboo habitats would be different because it was initially observed that less vegetation was
rowing around the bamboo areas of the study plot. We also hypothesized that the study plot 1
would be representative of the greater naturally regenerated forest areas of FCRE.
in
p
w
n
g
18
MATERIALS AND METHODS
igure 2: Overview of study
onduct a soil
. The majority of the
s,
was cleared in the 1950s and 1960s for cattle pasture. In 1993, the land began its recovery
F
Site description
We sampled 8 sites in the 60-hectare property known as the Firestone Center for
Restoration Ecology (FCRE) in southwest Costa Rica. The area receives around 4424.2 mm of
precipitation annually (Hacienda Baru 2006). The property was acquired by Pitzer College in
2005 and is located near the town of Dominical on the southwest coast of Costa Rica. Serving as
a site for research and restoration efforts, the Firestone Center is an ideal site to c
survey due to its changing land use over the years and the restoration efforts
property is comprised of previously deforested land and is thus in some stage of
recovery/succession, although there are areas of remaining primary forest.
All of the land, except a small tract of forest along the riparian zones and on steep slope
19
process under efforts of land restoration and sustainable forestry in most parts of the property.
Thus, except for the primary forest, all the land was grazed for the same amount of time unt
recovery began to occur, although recovery was initiated at different points in the different
habitats. Geologically, the land in the higher elevations of the property lies on diorite while
areas downslope are shales that are much richer in nutrient baring clays than diorites (pers
commun. Richard Hazlett 2008). A large
il
most
.
amount of the diorite-derived soils have eroded
ownhill and mixed with the shale soils.
d
Figure 3 : Map of Firestone Center for Restoration Ecology property
20
Habitat Types
Primary Forest: Defined in this study as area that has never been significantly impacted by
humans. Deforestation has never occurred here. It occurs the eastern part of the FCRE property,
along Cocoa stream and North Creek, on extremely steep slopes.
Naturally Regenerated Secondary Forest: Described as secondary forest that has been
orests, we took soil samples from the bamboo and nonbamboo areas
within vegetation Plot 1.
its time as a pasture. This forest has been recovering for 15 years. It
occurs on the south side of the property along the Access Road.
ch
e top of the access road. There is virtually no other
vegetation that grows in the same area. This bamboo was planted about 9 years ago.
hin Bamboo: Defined as the area containing bamboo species Bambusa vulgaris, which grows
in forests and allows a lot of other vegetation to grow beneath it. It also occurs in the northwest
orner of the property at the top of the access road, directly adjacent to the thick bamboo habitat.
oncern has been expressed over the fact that this species spreads rapidly into the surrounding
condary forest. Again, this bamboo was planted about 9 years ago.
anana: Defined as the small area containing mainly banana trees, which were planted 8 years
go. The bananas make up a small area on the western border of the property, in an area known
as the “banana trail”.
ecovering Pasture: Defined as the area that was once a grazed pasture but has been allowed to
naturally recover for four years. It mainly consists of bamboo and tall grasses and occurs toward
e top of the access road.
untouched and allowed to recover for 15 years since the land restoration efforts began on the
FCRE. The natural regenerated forest takes up the majority of the FCRE property. In the
naturally regenerated f
Hardwood Plantation: Defined as an assisted secondary forest that was replanted with native
hardwood tree species after
Thick Bamboo: Defined as the area containing bamboo species Guadua angustifolia, whi
grows in large clumps and is being actively managed and harvested on the property. It occurs in
the northwest corner of the property at th
T
c
C
se
B
a
R
th
21
Grazed Pasture: Defined as the area that contains only short grasses, where cattle have recently
razed and trampled. There is evidence of cattle on the land, by means of hoof prints and
manure. The pasture in the study was directly adjacent to the FCRE borders to the northwest, in
Figure 4: Photos of habitats. From left to right- 1st row: primary forest, naturally regenerated secondary forest, hardwood forest, thick bamboo. 2nd row: thin bamboo, banana plantation, recovering pasture and grazed pasture.
Study plot 1
Study plot 1 is a 30m by 30 m area located in the E6 quadrant of the naturally regenerated
secondary forest region of the FCRE (Figure 5). Study plot 1 is part of a set of vegetation study
plots that have been monitored the past few years. The plots are broken up into 1m x 1m
quadrants for sampling purposes. An inventory of the all woody plants within plot 1 has been
corded annually since 2006. In 2008, plot 1 had 324 plants and 33 different species within its
area. It contains fifteen clusters of bamboo species Bambusa vulgaris, all which are located on
g
between Mudd pond and Basilisk pond.
re
22
the northern half of the plot, characterizing the plot with distinct bamboo and nonbamboo
regions within the area (Figure 6). Within plot 1, the areas around the bamboo clusters are
sparse in other vegetation.
Naturally Regenerated Forests
E 6
Fi Location of sampled bamboo nbamboo sites within plot 1 (green and blue respectively) as well as shown. The size of the dots corresponds to the
he higher the number of sprouts in each cluster.
gure 5:her bam (b
and noot boo clusters (yellow) and all other vegetation lue) are number of bamboo sprouts in each cluster. The larger the dot, t
23
In plot 1 of the naturally regenerated forests, five soil and invertebrate samples were
taken in the bamboo areas at sites with bamboo clusters at x-y coordinates <12,19> <16,18>
<14, 24 e
, 25>
>, <17, 24>, <18, 29> (Figure 5). We chose these sites in particular because these fiv
sites had the highest number of stems in each bamboo cluster. Similarly, five soil and
invertebrate samples were taken in the nonbamboo areas along x-transect 25m: <5, 25> <10
<15, 25> < 20, 25> <25, 25> (Figure 5). We chose to sample along this transect because the
nonbamboo areas within plot 1 was already predominantly on the southern side of the plot and
the transect was uniform in elevation.
: Study Plot 1. A: Nonbamboo area. B. Bamboo area
Adjacent pastures and Hacienda Baru
In addition to the eight on site habitats, we also collected data regardin
habitats. We collected data in two additional grazed pastures, one across the s
FCRE in much more open and intensely grazed pasture, and one closer to the
floodplain, which also had cows grazing at the moment of collection. Finally,
physical and chemical properties from the forests on Hacienda Baru, the adjac
that is managed as a conservation area and tourist educational destination. We
samples within the
A
Figure 6
property of Hacienda Baru. The following were the Hacien
primary forest, chilamate trees, cacoa trees, palms near beach and beach, from
cted and analyzed. The transect in Hacienda Baru started inla
forest a
sample was colle
nd ended at the beach. We chose to sample along this transect in orde
preliminary and general idea of how the soil’s physical and chemical properti
proximity to the ocean.
B
g some off-site
treet from the
ocean on the
we measu
ent plot of land
collected a
red the
total 5
da Baru sites:
each only one soil
nd in the primary
r to get a
es varied in
24
Overview of methods
The study was conducted between June 1 and July 31, 2008 at the Firestone Center for
Restoration Ecology in the Punta Renas province on the southwest coast of Costa Rica. Five
replicate plots, determined by previously tagged trees around the property, were chosen in each
of the eight habitats in order to measure the physical and chemical properties of the soil, as well
as the invertebrate communities in the soil and the leaf litter at each site. Measurements included
moisture content, soil bulk density, relative particle size, color, pH, soil compaction, depth of
organic layer, GPS coordinates, macro and micronutrients, as well as trace
the
metals, and
invertebrates in the litter and the O and A layers. The same variables were examined in Plot 1 in
ted secondary forest to compare the difference between bamboo and
nonbam
er
er
surement. Using a long core sample, color was determined according to the
Munsell Soil Color chart and the depth of the O layer was also measured. Two long cores, two
litter sample were then collected, stored in ziplock bags and transported to
the lab ely 0.1
were
sample was dried in an oven at 60ºC for 24 hours then reweighed in order to determine the
ce dry, the sample was run through a six part sieve set, ranging from 5 mm
to 230 mm and soil caught in each size was weighed and used to calculate the soil bulk density
the naturally genera
boo sites.
Field sampling
In the field, the GPS coordinates were recorded by measuring the distance, the angle and
the slope to the nearest GPS tag on the property. In this way, the exact GPS coordinates of each
sample site were calculated. Additionally, the pH was measured to an accuracy of a tenth of a
degree using a soil pH meter (Em System soil pH meter, Demetra, Tokyo Japan). The soil
compaction was measured by averaging three pocket penetrometer readings. The penetromet
used in this study only went less than a centimeter into the soil, so there is question as to wheth
this is a valid mea
short cores and one
for further testing. The litter sample was scraped from an area that was approximat
m2. In addition, 500 grams of Bambusa vulgaris and Guadua angustifolia foliage each
collected from the bamboo habitats of FCRE for chemical foliar analysis.
Physical analysis
Physical and biological analysis was conducted with the cores that were brought back to
lab. For each site, the fresh mass of the soil in one of the long cores was taken, after which the
moisture content. On
25
of the sample. Soil bulk density is defined as the weight of soil per unit volume. With the other
long core collected in the field, a size of particles test was conducted in order to determine the
percent of sand, silt and clay in the sample and thus classify the soil. Sand is defined as any
particle ranging from 2-0.05 mm, silt is 0.05-0.002 mm and clay is <0.002 mm (Schaetzl and
Anderson 2007).
Chemical analysis
Soil and bamboo foliar samples were sent to Activation Laboratories in Ancaster,
Ontario, Canada and the Laboratory of Soil and Foliage at the Center of Agronomical
University of San Jose, Costa Rica for chemical analysis. Analytical methods
. The
.
,
if possible and otherwise
order and counted. Some specimens were preserved in 70% alcohol. Second, one of the short
ores was set up in a Berlese-Tullgren funnel under a heat lamp and a dry extraction was
erformed for 24 hours to collect all the invertebrates in the A layer. A wet extraction was also
erformed but there were no major differences across habitats, so analysis was brief. We did not
ollect or analyze soil invertebrate fauna for offsite pastures and Hacienda Baru samples.
ata analysis
Most of the data were analyzed qualitatively, since five replicates was not enough to run
any statistical tests. Physical properties and chemical properties were noted and invertebrate
rders that appeared in some habitats and not others were focused on. Species abundance,
ecies richness and Simpson’s Index of Diversity was calculated for the invertebrates in each
abitat and those values were compared across habitats. The species richness measurement
veals the number of species in a given area, while the Simpson’s Index of Diversity relates
Investigations,
used to determine the amounts of micronutrients, macronutrients, and other elements in the soils
include instrumental neutron activation analysis (INAA), inductively coupled plasma optical
emission spectrometry (ICP), and inductively coupled plasma mass spectrometry (ICP/MS)
amount of nitrogen in the samples was only analyzed in the eight different habitats in the FRCE
Biological analysis
Soil invertebrate fauna were sampled with two different methods for each habitat. First
leaf litter was collected on site and sorted in the lab. Invertebrates in the litter were collected
using an aspirator. All the invertebrates were then identified to family
to
c
p
p
c
D
m
o
sp
h
re
26
biodiversity to the relative abundance of different species. The formula used to determine the
impson’s Index of Diversity was 1- D where D = Σ (n/N)2 and n= total number of organisms of
particular species and N= total number of organisms of all species.
S
a
27
RESULTS
Physical properties
ita
The physical properties of th ot v een sites. Although soil texture
lightl ee b ll e cla /clay loam/sa y nge
of the texture spectrum. Soil bulk density was highest in the hardwood forest and lowest in the
recovering pasture. Moisture content was highest in the thick bamboo and lowest in the primary
alue ho n 3 s are re nd Fig
sic i so di t onsi
(%) (%) h of
O layer
bulk moisture
FCRE hab t types
e soil did n ary much betw
varied s y betw n ha itats, a were in th y/sandy clay ndy cla loam ra
forest. V s are s wn i Table and trend shown in Figu 7 a ure 8.
Table 3: Phy
al propertSand
es of Silt (%)
il accorClay
ng to habitaTexture
te Color Dept
(cm)
Soil
density (g/cm3)
Soil
content (mL)
Primary 45.33 .33
39.33 C clay, clay
5 YR 4/6, 7.5 YR 4/6
8.2 0.721 0.1608 15 lay, sandy 5 YR 4/4,
loam, sandy clay loam
Natural Regeneration
50.67 15.33
34.0 Clay, sandy clay, clay loam, sandy clay loam
2.5 YR5/8, 5 YR 4/6, 5 YR 5/8
2.8 0.6743 0.2226
Hardwood 46.67 17.0 36.33 Clay, clay loam, sandy clay loam
5 YR 4/6, 5 YR 5/8, 7.5 YR 4/6, 7.5 YR 6/6
1.8 0.7479 0.2086
Thick bamboo
50.67 14.0 35.33 Clay, clay loam
2.5 YR 4/8. 5 YR 4/4, 5 YR 4/6
0.2 0.6729 0.2820
Thin bamboo 41.33 19.0 39.67 Clay, clay loam, sandy clay loam
2.5 YR 4/6, 5 YR 4/6
0.6 0.7168 0.2456
Banana 33.33 20.33
46.33 Clay, clay loam
5 YR 3/4, 5 YR 4/4, 5 YR 4/6, 5 YR 5/8
1.2 0.6680 0.25260
Recovering pasture
42.67 17.67
39.67 Clay, clay loam, sandy clay loam
2.5 YR 4/6, 5 YR 4/6
0 0.6506 0.2547
4.8 0.7184 0.2532 Pasture 43.33 16.67
40.0 Clay, clay loam, loam
2.5 YR 4/6, 5YR 4/6
28
% Clay
% Silt
% Sand
0.2
0.8
1
1.2
0.4
0.6
0
Prim
ary
Natu
ral R
egen
ation
Hardw
ood
Thick
Bam
boo
Thin B
ambo
o
Bana
na
Reco
verin
g Pa
stur
e
Pastur
e
Figure 7: Percent sand, silt and clay in soil according to habitat. These percentages were used to determine the soil texture.
0
45
pHSoil bulk density (g/cm3)moisture (ML)
35
40
5
10
15
20
30
Prim
ary
Natur
al R
egen
ation
Hard
wood
Thick
Bam
boo
Thin B
ambo
o
Bana
na
Reco
verin
g Pa
stur
e
Pastur
e
25
ty and moisture content according to habitat. Figure 8: pH, soil bulk densi
29
Naturally Regenerated Forests
Nonbamboo soils had 44% sand, 10% silt, and 46% clay, classifying the soils with a clay
xture (Table 4). Bamboo soils consisted of 58.67% sand, 5.6 % silt, and 35.07% clay, giving
colors than bam re uniform
c ). The bulk
s ar, in catin t the sity of the ls was sim boo
and bambo eg as sa d, but neither had an organic layer. The soil moi content
t wo reg ns d t sig antly diff either. Table 4: Ph p ies of nonbamb bamboo areas of n reg d fo
si(% text or
k density
l)
il moisture
L)
BAM 46 claR 4/6 5/8, YR .71 629163
te
the soils a sandy clay loam texture. The soils sampled in the nonbamboo soils had a higher
diversity of boo soils, indicatin
soils (Table 4
g that the bamboo soils were mo in
olor than the nonbamboo density and compaction of both areas were
imil di g tha poro soi ilar. Only the A layers of nonbam
o r ion w mple sture of
he t io id no nific erent
ysical ropert soils in oo and aturally enerate rests
sand(%)
lt ) (%)
clay ure col
bul
(g/m
so
(m
NON BOO 44 10 y 5Y
5, 5YR
2. 4/6 0 60 0.
BAMBOO 7 5 .07 san y loam/sandy clay
5YR 4 R /6 0.72 553024
Chemical properties F E hab y
pH did not vary significantly bet habita wever, all ha are mo
cidic than the primary forest. Potassium, calcium, magnesium, sulfur, lithium and sodium were
Other important nutrients for plant growth, such as nitrogen,
phosph
d
58.6 .6 35dy cla 2. /8, 5Y
4 27 0.
CR itat t pes
ween ts (Table 5). Ho bitats re
a
all highest in the primary forest.
orous, zinc and cobalt did not seem to show any pattern in relation to land use.
Manganese, nickel, copper, iron and chromium all displayed a pattern according to land use, in
which the primary and secondary forest had similar concentrations while the more disturbe
habitats all had different, more extreme concentrations. The primary forest has a higher overall
percentage of macronutrients than the other habitats, especially the pasture.
30
Table 5: Chemical properties of soil according to habitat. Macronutrients and micronutrients listed are essential for lant growth.
Element Unit Primary Natural Regeneration
Hardwood Thick Bamboo
Thin Bamboo
Banana Recovering pasture
Pasture p
pH 6.36 6.04 6.18 5.92 6.08 5.92 5.66 6.14
Macronutrients N % 0.28 28 0.35 0.23 0.26 0.26 0.30 0.31 0.K Ca
%%
1.19 0.54 24 0.17 0.25 0.41 0.14 0.42 0.62 0.08 0.26 0.10 0.11 0.14 0.08 0.16
0.95 0.32 22 0.13 0.34 0.31 0.25 0.07 0.039 0.066 0.168 0.184 0.229 0.12 0.12 0.06 0.032 0.02 0.04 0.01 0.03 0.03 0.04
onutrie 7.68 7.47 8.61 15.3 13.8 14.1 17.3 13.3
0.
Mg % 0.21 0.P % S % Micr nts Fe % Mn 1250 1190 1100 2060 2160 2470 2350 2420
146 113 87.7 154 135 186 161 174 36.3 40.6 63.3 6.6 11.2 4.9 11.3 10 < 1 2 1 < 1 < 1 < 1 < 1 < 1
81.4 67.4 129 610 373 657 806 373 20 25 28 28 24 38 41 30
er elem < 2 < 2 < 2 14 < 2 < 2 < 2 < 2
ppm Zn ppmNi ppmMo ppmCu ppm Co ppm Oth ents Au ppm Al % 8.9 4.89 11.1 12.4 9.88 11.8 12.8 10.6
108 133 141 6 37 5 < 1 < 1 41.5 37.4 19.6 12.7 10.9 17.3 14.7 12.9 0.52 0.05 0.17 0.05 0.08 0.08 0.04 0.07 4 142 67 50 128 128 14 4
rally erat Forests
We found the amounts of 65 different trace elements in the nonbamboo and bamboo
boo
mboo areas (Table
). The pH of the nonbamboo soils were slightly more acidic than the bamboo soils.
Cr ppm Li ppm Na % Zr ppm
Natu Regen ed
areas of the naturally regenerated forests (Appendix 1). The amount of nutrients and fertility of
the soils found in nonbamboo and bamboo areas of the naturally regenerated forests were
relatively similar. The amount of macronutrients and micronutrients in nonbamboo and bam
areas were not significantly different (Table 6). Higher quantities of As, Cr, and Sb were found
in nonbamboo areas while Be, Sr, and Zr were found in higher quantities in ba
6
31
T rtant trace elements in soils of no mboo and bamboo a of naturally regenerated forests nit Nonbamboo Bamboo
able 6: Impo nba reas Element UpH 5.84 6.26 Macronutrients K % 0.14 0.13 Ca % 0.05 0.05
% 0.18 0.22 P % 0.079 0.118 S % 0.03 0.03 Micronutrients Fe % 16.5 16.9
Mg
Mg % 0.18 0.22 Mn ppm 1270 1490 Zn ppm 91.6 117 Ni ppm 20.1 17.1 Mo ppm < 1 < 1 Cu ppm 325 529 Other elements As ppm 11 < 0.5 Be ppm 1 Cr ppm 6
m
ar analysis ana f u s and B v r ed amounts of
K, S O., u Zn ount more of
ambusa vulgaris, otherwise, neither Guadua angustifolia nor Bambusa vulgaris
ican a o f ace el (
components of organic allelotoxins.
: Amount of trace elements in Guadua a folia an sa vulgaris leaves elemen
< 0.5
0.9 < 1
Sb ppmSr pp
0.9 28
< 0.1 64.1
Zr ppm
9 66
Bamboo foli
Foliar
N, P, Ca, Mg,
lysis o Guad a angu tifolia ambusa ulga is show similar
, C. Fe, C , and . Guadua angustifolia had a significant am
Mn than B
showed signif
analyzed minerals, and did not analyze
tly gre ter am unts o any tr ements Table 7). The foliar analysis only
able 7 ngusti d BambuT
t Guadua angustifolia Bambusa vulgaris N (%) 2.12 2.08 P (%) 0.33 0.14 Ca (%) 0.5 0.31 Mg (%) 0.12 0.18 K (%) 1.99 2.26 S (%) 0.25 0.49 Fe (mg/kg) 85 86 Cu (mg/kg) 5.5 5 Zn (mg/kg) 8.5 9.5 Mn (mg/kg) 828 178 B (mg/kg) 1 4
32
Off-sites In the two additional offsite grazed pastures that were sampled, the pasture near the ocean
as more acidic than the pasture across the street from the FCRE. The pasture across the street
ad a higher soil bulk density and lower moisture content than the pasture by the ocean. The
of moistur
c nt and soil bulk dens ed t l b n c d
a ntent dec d. In ditio erce sand he so ncre d w
p . The as si r thr ut th sect le 8
T of so fsite sa les Sil
(%ture Color H bulk
ity 3)
oil m ture nten L)
w
h
Hacienda Baru transect showed varying physical properties, especia n telly i rms e
onte ity. As we sampl closer to the beach, he soi ul dek sity in re sea
nd the moisture co rease ad n, the p nt of in t il i ase ith
roximity to the beach pH w mila ougho e tran (Tab ).
able 8: Physical properties il in of mpSand (%)
t )
Clay (%)
Tex p Soil dens(g/cm
Sco
oist (m
P .33 20. .67 Clay 7.5 Y3/3
.3 58 .305 asture across treet
33 0 46 R 6 0.73 0sPasture near ocean 46.67 20.0 33.33 Clay loam 7.5 4/3 5.9 0.6536 0.2991
acienda Baru rimary forest
40.0 13.33 46.67 Clay 7.5 YR 4/3
6.3 0.6609 0.3123
acienda Baru 33.33 13.33 53.33 Clay 2.5 YR 4/8
6.5 0.6698 0.3194
26.67 33.33 Clay loam 7.5 YR 3/2
6.5 0.6472 0.2781
Hp
Hchilamate trees Hacienda Baru cacoa trees
40.0
Hacienda Baru palms near beach
46.67 26.67 26.67 Loam 7.5 YR 2.5/2
6.8 0.7843 0.3156
Hacienda Baru beach
53.33 13.33 33.33 Sandy clay loam
10 YR 3/2
6.5 0.9009 0.2218
Chemical properties in the offsite properties varied most drastically between iron and
manganese in the two pastures and phosphorous and manganese in the Hacienda Baru transe
Phosphorous increased steadily as the sampling gets closer to the beach. Otherwise, nutrien
samples on the Hacienda Baru transect varied in the different habitats (Table 9).
ct.
ts in
33
Table 9: Amounts of trace elements in the soils of nearby pastures and Hacienda Baru transect
P Fe Mn Zn g/L
pasture across street 2 .64 32 site
K cmol(+)/L
mg/L
Ca cmol(+)/L
Mg cmol(+)/L
mg/L
mg/L
Cu mg/L
m
0.51 24.04 2 14 6 2.2 pasture near the ocean 16.06 93 2.8
Baru primary 9 1 10.23 4.44 105 49 3 1.
Baru chilam7 1 2.50 1.90 114 98 3 1.
cacoa t s 27.75 6.23 21 14 4 4.2 aru palms near
2 3.11 0.96 32 12 1 0.aru beach 28 5 6.07 2.92 94 11 3 1.
ities itat types
Invertebrate communities were very different in every habitat. In the leaf ter, a tota f
iduals dist uted in 5 different orders were identified in the primary forest. 236
3 dif ent orders were found in the naturally regenerated secondary forest while
0 individual 14 di ent orders ere found in the hardwood est. A tal of 104
distribu in 10 different orders occurred in the thick bamboo and 144 individuals in
ent orders o urred the thin ba oo. 136 ividua in 17 d erent o ers were
in the bana planta n, 47 indiv als in 9 ers we counte n the overing
d only 5 i ividuals in 4 orders were found in the gr d past . Som f the mo
on-insect groups, such as the Ricinuclei, Glomerida, Penicilla Diplura, Opilione
rpha, Protura, Polydismidae, Lithobiomo ha, Oli haeta, olape ropmorph
ed in som abitat t not othe The mo ommo nsect ers, s as
optera were ch mo abundant in the primary forest, due to the large colonies of ants
(Table 1 d Fi 9). Nem s were found in every habitat in the wet
extraction funnel.
0.46 ND 4.90 86 5 Haciendaforest 0.2 8 Hacienda ate trees 0.2 7 Hacienda Baru ree 0.30 2 Hacienda Bbeach 0.10 8 Hacienda B 0. 7
Invertebrate communFCRE hab
lit l o
439 indiv rib 2
individuals in 2 fer
only 13 s in ffer w for to
individuals ted
14 differ cc in mb ind ls iff rd
counted na tio idu ord re d i rec
pasture an nd aze ure e o re
obscure, n ta, s,
Geophilomo rp goc Sc nd a
only occur e h s bu rs. re c n i ord uch
Hymen mu re
found there 0 an gure atode
34
T : Number of individuals in each taxonomic group in litter samples, according to habitat. Bold taxon represent categories
Primary Natural Regeneration
Hardwood Thick Bamboo
Thin Bamboo
Banana Recovering pasture
Pastur
able 10
e
TAXON Oligochaeta 2 9 0 0 1 1 1 0 Mollusca Gastropoda 3 9 1 1 1 2 1 0 Onychophora 1 0 0 0 0 0 0 0 Crustacea Isopoda 57 34 21 9 20 33 1 0 Diplopoda Glomerida 5 2 0 0 0 0 0 0 Penicillata 13 5 4 0 0 0 0 0 Polydesmida 2 1 0 0 1 1 0 0Chilopoda Geophilomorpha
1 0 2 0 0 1 0 0 thobiomorpha 1 4 0 1 2 0 0 0
colaphendromorpha 0 0 0 0 0 4 0 0 rchanida ranae 12 13 4 1 2 15 1 0 cari 35 8 6 6 28 8 9 0 piliones 4 5 1 0 0 0 0 0 icinuclei 2 0 0 0 1 0 0 2
doscorpiones 33 20 20 0 0 1 0 0 exapoda plura 10 0 0 0 1 0 0 0
rotura 5 10 6 0 0 2 0 0 ollembola 34 41 13 14 20 26 5 1 secta donata 0 1 0 0 0 0 0 0 lattodae 0 3 0 0 0 1 0 0 optera 2 0 0 0 0 0 0 0
0 europtera 1 2 0 0 0
ptera 0 0 1 0 0 0 0 0
21 9 3 17 4 2 0 3 0 0 2 4 0 0 20 20 39 19 7 6 1
1 0 0 0 0 0 0 1 2 1 0 0 0 0
a 0 49 20 29 29 25 21 1 9 2 1 10 14 6 47 5
LiSAAAORPseuHDiPCInOBIsDermaptera 0 1 0 0 0 0 0 NPsco
00 0 1
0 0
0 0 1
0
Orthoptera 0Hemiptera
ra 6
1
Thysanopte 4Coleoptera 44
Lepidoptera 1Diptera 3
2Hymenopter 1TOTAL 43 63 30 4 4 13
35
-20
0
20
40
60
80
100
120
140
Isop
oda
Glomer
ida
Pseu
dosc
orpion
Aran
ae
Penicil
lata
Diplura
Acar
i
Prot
ura
Hemiptera
Coleop
tera
Diptera
Hymen
optera
Colle
mbo
la
Order
Primary
Natural Regeneration
Hardwood
Thick Bamboo
Thin Bamboo
Banana
Recovering Pasture
Pasture
Figure 9: Abundance of major orders in litter sample according to habitat
The invertebrates in the dry extraction, on the other hand, showed less of a pattern than
the leaf litter. The different habitats resembled each other much more. A total of 566 individuals
distributed in 19 orders were counted in the primary forest, 119 individuals in 13 orders were
found in the naturally regenerated secondary forest and 58 individuals in 13 different orders in
the hardwood forest. 74 individuals in 12 different orders were found in the thick bamboo while
67 individuals in 11 orders were found in the thin bamboo. Finally, 93 individuals in 14 orders
were found in the banana, 129 individuals in 15 orders were found in the recovering pasture and
92 individuals in 12 orders were found in the grazed pasture. Again, like the leaf litter, many
obscure, non-insect groups were found in only a few of the habitats instead of being broadly
distributed.
36
Table 11
Bamboo Bamboo pasture Pasture
: Abundance of individuals in dry extraction samples according to order, according to habitat
Primary Natural Regeneration
Hardwood Thick Thin Banana Recovering
TAXON Oligochaeta 5 2 3 0 0 2 5 3 Mollusca Gastropoda 0 0 1 0 1 0 0 0 Crustacea Isopoda 0 3 4 1 3 2 5 0 Diplopoda Penicillata 5 0 0 0 0 0 0 0 Chilopoda Geophilomorpha 2 0 0 0 0 0 0 0 Lithobiomorpha 0 0 1 0 0 0 2 1 Scolaphendromorpha 1 0 3 0 0 0 0 0 Arachnida Aranae 3 0 3 3 0 4 6 5 Acari 9 0 0 6 2 25 11 2 Pseudoscorpion 2 2 0 0 0 0 0 0 Hexapoda Diplura 2 3 2 2 0 1 3 0 Protura 3 3 0 0 0 2 4 5 Collembola 430 36 5 7 5 13 26 4 Insecta Isoptera 4 1 0 1 0 1 0 0 Neuroptera 3 0 0 0 0 0 0 0 Orthoptera 0 0 0 0 0 0 1 0 Hemiptera 13 10 7 17 39 14 12 11 Thysanoptera 2 5 0 4 1 1 2 2 Coleoptera 14 23 12 16 6 15 25 22 Trichoptera 33 Diptera 34 47 57 51 23 117 168 74 Lepidoptera 1 0 0 0 1 0 0 2 Hymenoptera 28 22 13 2 6 9 1 2 TOTAL 566 166 115 125 90 210 297 166
5 9 4 15 3 4 26
37
-50
450
500
0
50
100
150
200
250
300
350
da n ae ura ar
i ra ra ra a ra
Primary
Natural Regenerati400 on
Hardwood
Thick Bamboo
Thin Bamboo
Banana
Recovering Pasture
Pasture
Isop
o
Pseu
dosc
orpio
Aran
Dipl Ac
Hemipte
Coleop
tera
Dipte
Hymen
opte
Colle
mbo
l
Trich
optera
Isop
te
Order
Figu o n d a and beta d ersity were ca ulated for each habitat in the form ess
a y. For b th, trends were m ch more apparent in the litter
s pared to the dry extraction samples. All of the dry extraction numbers exclude the
order Diptera, since the setup was biased towards flies th ere attracted to the light of the
extraction overnight. Litter species richness was found to be much lower in the pasture, however,
the standard error is extremely high so it is hard to draw conclusions about these trends.
re 10: Abundance f major orders i ry extraction sample ccording to habitat
Alpha iv lc of species richn
nd Simpson’s Index of Diversit o u
amples com
at w
38
VA
1.20
1.00
0.80
0.60
0.40
0.00
0.20
Mea
n
PastureRecovering
PastureBananaThin BambooThick BambooHardwoodNatural
RegenerationPrimary
R00001T xextbo
Primary Hardwood
TB
hick amboo
Thin Bamboo
Banana Pasture Recovering Pasture
Natural Regeneration
□ Litter □ Dry extraction
Error bars: +/- 2 SE
Figure 11: Simpson’s Index of Diversity in litter and dry extraction samples according to habitat
Species richness was much higher in primary forest, followed by the two versions of
secondary forest as compared to the other habitats.
39
30.
25.
20.
15.00
10.
5.
0.
00
00
00
00
00
00
Mea
n87654321
VAR00001
Error bars: +/- 2 SE
Tex…
Figure 12: Species Richness in litter and dry extraction samples according to habitat
Naturally Regenerated Forests
Invertebrates in soils of nonbamboo region
A total of 166 invertebrates were identified to order in nonbamboo areas from the leaf
litter and dry extraction. Fifty-eight of these invertebrates were non-insects and 108
invertebrates were identified as insects. High abundances of Isopoda and Acari were found in
the leaf litter samples with the invertebrates often found in the curled edges of the leaves and
high abundances of Coleoptera and Diptera in the dry extraction samples. Araneae, Isoptera,
Gastropod, Polyxenida, Thysanoptera, and Orthoptera were found only in nonbamboo areas of
the natu ich
include
Primary Natural Regeneration Hardwood
Thick Bamboo
Thin Bamboo
Banana Pasture Recovering Pasture
Natural Regeneration
□
□ Dr
Litter
y extraction
rally regenerates forests. Additionally, there was a high diversity of Collembola wh
d families Isotomidae and Onychiuridae.
40
Invertebrates in soils of bamboo region
dry ext
sects. Like the nonbamboo leaf litter samples, Isopoda and Acari were most common. Within
e order Acari, Orbatidae were most commonly found. Furthermore, there were a few different
ecies within the Orbatidae family (Appendix 6). There was also a significant high abundance
f Hymenoptera in the bamboo leaf litter sample due to the collection of an ant colony.
iones, Diplura and Psocoptera were only found in bamboo areas.
We identified 320 invertebrates to their order in the bamboo areas from the leaf litter and
raction samples. Seventy five invertebrates were non insects and 255 invertebrates were
in
th
sp
o
Diplopoda, Opil
Table 12: Invertebrate species abundance in nonbamboo and bamboo areas
NB leaf litter B leaf litter NB dry extraction B dry extraction
TAXA Oligochaeta Haplotaxida 1 1 4 4 Mollusca Gastropoda 3 0 0 0 Crustacea Isopoda 17 23 1 1 Diplopoda Penicillata 2 1 0 0 Symphyla 1 3 0 0 Arachnida Acari 22 35 3 0 Araneae 2 0 1 0 Opiliones 0 3 0 0 Pseudoscorpions 1 2 0 0 Hexapoda Diplura 0 0 0 2 Collembola 8 5 2 0 Insecta Isoptera 1 0 2 0 Psocoptera 0 5 0 0 Orthoptera 1 0 0 0 HomopHemipt
tera 0 0 7 1 era 7 2 2 2
Thysanoptera 1 0 0 0 Coleoptera 0 9 16 5 Trichoptera 0 0 2 1 Diptera 1 3 42 8 Hymenoptera 12 202 4 2 TOTAL 80 294 86 26
41
Common invertebrates
Common invertebrates found in both the nonbamboo and bamboo regions included
Isopoda, Acari, Haplotaxida, Collembola, Hymenoptera, Hemiptera, Coleoptera, and Diptera
More specifically, Isopoda, Acari, and Diptera were in high abundance. Of the common
invertebrates found in both regions, nonbamboo samples had more orders with higher
abundances than bamboo samples (Figure 13). Nonbamboo samples had higher abundances of
.
Collem ola, Hymenoptera, Hemiptera, Coleoptera and Diptera. Bamboo samples had higher
an nonbamboo samples.
b
abundances of Isopoda and Acari th
40
05
101520253035
Isopo
daAca
ri
Haplot
axida
Collem
bola
Hymen
opter
a
Hemipt
era
Coleop
tera
Diptera
Order
abun
danc
e
4550
nonbamboobamboo
Figure 13: Common invertebrate abundance in nonbamboo and bamboo areas of naturally regenerated forest Simpson’s Index of Diversity and species richness
Simpson’s Index of Diversity and species richness was calculated for the nonbamboo
area and bamboo area in study plot 1 (Figure 14 and 15) to give a measure of diversity. Similar
to previous data analysis methods, the dry extraction data excluded the order Diptera because
light for the overnight dry extraction may have attracted a large number of Dipteras that were
originally not in the soil samples. There was no difference in Simpson’s Index of Diversity
the
etween the nonbamboo and bamboo sites (nonbamboo = 0.783, bamboo = 0.753) or in species
two areas of study plot 1 (nonbamboo = 9, bamboo = 8.4). Nonbamboo
b
richness between the
42
sites had a slightly higher Simpson’s Index of Diversity from the leaf litter samples (nonbam
= 0.757, bamboo = 0.608) and a higher species richness from the dry extraction samples
(nonbamboo = 7.8, bamboo = 3.4).
In comparison with the invertebrate diversity from other sites in the naturally regenera
secondary forests, study plot 1’s Simpson’s Index of Diversity for both the leaf litter
extraction samples are relatively similar to the Simpson’s Index of Diversity from other samp
taken from sites outside of the study plots in the naturally regenerated secondary forests (Figure
14). In contrast, the leaf litter and dry extraction samples from other sites within the naturally
regenerated forest
boo
ted
and dry
les
s had much greater species richness than the samples within study plot 1
(Figure
15).
43
0.9
1
0.8y
0
0.1
0.2
0.3
0.4
0.5
0.6
nonbamboo bamboo other sites inNRSF
sites
mea
n si
mps
on's
inde
x of
div
0.7
ersi
tleaf litter
dry extraction
Figure 14: Simpson’s Index of Diversity in litter and dry extraction samples in the nonbamboo and
ithin study plot 1 and other sites in the naturally regenerated secondary forests (NRSF). bamboo sites w
0
5
10
15
20
25
spe
cies
rich
ness
mea
n
leaf litter
dry extraction
nonbamboo bamboo other sites inNRSF
sites
Figure 15: Species richness in litter and dry extraction samples in naturally regenerated secondary forests (NRSF). Species richness was compared between nonbamboo and bamboo sites in study plot 1 and with other sites in the naturally regenerated secondary forest areas.
44
DISCU
the
f organisms transport organic particles, breakdown certain
hemicals and decay particles resistant to decomposition. Other organisms not directly involved
e important role of regulating microbial populations by grazing and
.
ts
us
In addition to invertebrates, plants play a critical role in the physical and chemical
tically between habitats, especially in the
for
t, yet there was four times as
uch diversity of plants in the forest and there were no species that were common to both
and animals that are responsible for seed dispersal tend to avoid open areas,
ll 1999).
SSION
Invertebrates strongly influence the physical and chemical properties of the soil. Because
the decay of organic materials by invertebrates is done in a series of steps, the entire process
requires a diversity of soil fauna. First, shredders must shred, mix and digest organic matter in
the form of leaf litter and increase the surface area of leaf litter for microbial attack, inoculate
soil with gut bacteria and inoculate the soil with digestive enzymes that continue breakdown in
fecal pellets. Next, a different group o
c
in decomposition play th
predation. Many invertebrates possess highly specialized morphology to perform one of these
steps, thus diversity is essential for decomposition and nutrient cycling (Freckman et al. 1997)
The loss of any of the invertebrate functional groups described in Table 2 can be extremely
detrimental to the functioning of the entire ecosystem. Land use impacts that decrease this
diversity, as shown by the abundance and diversity of invertebrates found in the fores
compared to the pasture at FCRE, can be a problem for the nutrient cycle of the system and th
the plant growth and everything that relies primary productivity. We saw a dramatic decrease in
soil invertebrate abundance and diversity in habitats with greater human disturbances, suggesting
a possible loss of some of these decomposition functions.
properties of the soil, and since vegetation varied drama
pasture, the bamboo habitats and the banana plantation, this could be a possible explanation
the differences in the physical and chemical properties found. Although no vegetation survey
was done in this study, the sequence of plant growth is important to examine when looking at
recovering areas and how time since land use impacts the vegetation in the area. Holl (1999)
found that the succession of a pasture into forest depends most strongly on recently dispersed
forest seeds, as opposed to seed germination rates. In a recovering pasture, it was found that
herbaceous species were much more abundant than in the fores
m
habitats. Many birds
thus stalling seed dispersal of many forest species and slowly the rate of recovery (Ho
45
Primary forest vs. grazed pasture
The primary forest and the grazed pasture lie on opposite ends of the land use spectrum,
thus making their comparison the most revealing one in this study.
Physical properties
It was expected that the physical properties would vary most dramatically between thes
two habitats, especially with respect to soil bulk density, moisture content and the depth
organic layer. It was found that moisture content was much lower in the primary forest than
pasture, most likely due to the high levels of plant roots that created pores in the soil to increa
infiltration and the big difference in soil invertebrates found between the habitats. Because of the
high invertebrate abundance and diversity, there are more pores in the soil to facilitate drainage
Strangely, the other physical properties that were measured did not follow the trend. Soil bulk
e
of the
the
se
.
ensity, which is closely related to porosity and by extension moisture content, did not vary
s. This is surprising when considering the differences in physical
mpac
termine in the pasture, due to the large amounts of cow manure, thus the depth of
e organic layer might actually be less than reported in this study.
d
much between habitat
co tion by trampling cattle between the two habitats, since other studies have found that
heavy grazing often reduces air-filled porosity, water infiltration, increases bulk density, and
changes critical soil chemical properties (Greenwood and McKenzie 2001, Pereira et al., 2003,
Sharrow 2007). It was expected to find a much higher soil bulk density in the pasture than the
primary forest. The depth of the organic layer was about twice as thick in the primary forest as
the pasture due to the differences in the plant communities. The O layer was also extremely
difficult to de
th
Chemical properties
Chemical properties were expected to vary dramatically as well between these two
habitats, since the vegetation is so different. The nature of the vegetation influenced the rates of
nutrient cycling, since grasses cycle base cations more rapidly and generate fewer and less
persistent organic acids than do forests (Reiners et al. 1994). This was found to be true in the
case of potassium, calcium and magnesium, all of which were found in much lower
concentrations in the pasture and the presence of grasses compared to the primary forest. In
addition, the loss of these soluble base cations might also be due to higher amounts of leaching
46
because of increased exposure to weather with less dense vegetation, which would also result in
more acidic soil.
Previous studies found that pH was lower in the pasture compared to the forest
leveland et al. 2003), however, the data in this study found a much less significant difference.
et, the primary forest was the least acidic of all the habitats, suggesting that human disturbance
auses acidification through the loss of base salts. Meanwhile, important macronutrients and
icronutrients for plants, such as nitrogen, phosphorous, sulfur, zinc and colbalt compared rather
losely between habitats. There was a big difference in the concentrations of copper, manganese,
lithium and sodium, some of which influence the enzyme processes within
s, the pasture was nearly void of
fe. While a total of 439 individuals were counted in litter samples from the primary forest, only
in the pasture. All the groups important for litter decomposition were found
ts
different. In the forest, litter was easy to collect
rated secondary forest vs. hardwood forest vs. recovering pasture
The naturally regenerated forest, the planted hardwood forest and the recovering pasture
ries of secondary forest. Both the naturally regenerated forest and the
ing
(C
Y
c
m
c
nickel, chromium,
plants (Table 1).
Biological communities
There were extraordinary differences between the primary forest and the grazed pasture
in terms of the biological communities. For all practical purpose
li
5 in total were found
in high abundance in the primary forest, as expected, while they were all absent in the pasture.
Worms, mites, millipedes and isopods were not found in the pasture. Both the species richness
calculation and the Simpson's Index of Diversity were lowest in the pasture among the habita
analyzed. The lower diversity in the pasture is strongly correlated with land use intensity.
However, the nature of the litter was very
because it was mainly fallen leaves. In the pasture, untangling litter from the grasses was
difficult, so there was less volume to analyze when counting and identifying invertebrates. The
relative absence of litter in the pasture might be part of the reason for lower abundance and
diversity in litter invertebrates.
Naturally regene
are all different catego
hardwood forest have been recovering from disturbance for fifteen years while the recover
pasture is only four years old. Thus, comparing these habitats was potentially revealing. It was
47
not expected to find big differences between the two fifteen-year-old secondary forests how
Disturbance intensity ranges from the naturally regenerated forest to the planted hardwood to
recovering pasture, which is the most recently disturbed of these three habitats.
Physical properties
The organic layer was thickest in the naturally regenerated se
ever.
the
condary forest followed by
rties
ure as expected (Cleveland et al. 2003). There was at
from the recovering pasture to the two forested areas. This is a large
ffect the types of invertebrates that have a high enough acidity tolerance to
survive
n and
rue for
s
t
hardwood then recovering pasture, as expected. There was no clear trend, however, in the data
for soil bulk density and moisture content, although the pattern was the same for both,
demonstrating the relationship between the two properties. In all three cases, higher soil bulk
density correlated with lower moisture content. Interestingly, the recovering pasture had the
lowest soil bulk density and the highest moisture content, even though it was the most recently
impacted. The hardwood had the highest soil bulk density and lowest moisture content of the
three habitats.
Chemical prope
pH was lowest in the recovering past
least a 0.5 difference in pH
enough difference to a
. Also, since a lot of the vegetation in the recovering pasture was tall grasses, they likely
cycled base cations more similarly to the pasture than either of the forest habitats, thus
explaining the lower concentrations of potassium in the recovering pasture. Both nitroge
potassium were higher in both 15 year old secondary forest plots while the opposite was t
phosphorous.
Interestingly, phosphorous levels were lowest in the naturally regenerated secondary
forest, followed by the hardwood secondary forest, even though plant growth and diversity wa
extremely high in this area, due to the rapid uptake of standing biomass, which is typical of areas
undergoing succession. This suggests that phosphorous was not in fact a limiting factor in plan
growth as it often is. There were no major differences in calcium, magnesium or sulfur. Iron,
manganese, zinc, copper and colbalt were all much higher in the recovering pasture, most likely
due to the differences in vegetation.
48
Biolog
3
ies
s
he
hese three habitats are different from the rest, since they are defined more by their
vegetat
the amoun t ma t of he thick
bamboo lacked any understory (Fig ) and is being activ anaged and harvested while the
thin bamboo has been left alone to spread and there is a lot of understory growth. The banana
samples were a special case, and in ting to examine since they woul othe occur on
the FCRE property if they had not in entionally plant
Physical p rties
Sin here w orkers ac y chopping down t ck bamb uad
angustifoli d tram g the soil g the time of samp it was ex ed th se
e physical properties of the soil. In addition, since no vegetation
grew be rent in
he
he
ding
ulk density did not vary much between
ical communities
The patterns in the invertebrates follow the levels of disturbance history. A total of 26
individuals were collected in the leaf litter in the naturally regenerated forest, while 130 were
collected in the hardwood and only 47 were collected in the recovering pasture. This difference
in abundance suggests that invertebrates prefer greater input of organic matter through litter fall
and more complex soil crumb structure and microhabitat diversity. Again, the major
decomposers were most abundant in the habitat that was least disturbed. In litter, the spec
richness clearly showed a trend following the intensity of land use, in which the forested habitat
were much higher than the pasture or the bamboo, although this might again be attributed to t
nature and reduced quantity of litter in the recovering pasture.
Thick bamboo vs. thin bamboo vs. banana plantation
T
ion than their land use histories. The two bamboo species differed immensely in terms of
t of direc human nagemen and also the amount undergrowth present. T
ure 4 ely m
teres d not rwise
been t ed.
rope
ce t ere w tivel he thi oo, G ua
a, an plin durin ling, pect at the
activities would influence th
low the thick bamboo, it was expected that the chemical properties would be diffe
some respect and also there would be lower diversity and abundance in the invertebrate
communities. The organic layer was thickest in the banana, followed by the thin bamboo then t
thick bamboo, following the gradient of leaf fall, since there was more leaf mass falling in t
banana grove as opposed to the bamboo habitats. This means that there is a lot more stan
biomass that contributes nutrients to the soil and provides a healthier litter invertebrate
community as compared to the thich bamboo. Soil b
49
habitat
ver,
nificant. This is likely due to the lack of undergrowth below the
Guadua angustifolia, were not able to cycle the gold. Of all the habitats, phosphorous was found
ighest concentrations in the banana plantation, suggesting that plant growth in this area is
t
t
e
e
ertebrate groups can be explained by the simplification of community
structur c
s, which is surprising because of the compaction by the workers and their equipment.
Moisture content was highest in the thick bamboo, followed by the banana then the thin bamboo,
following a trend of understory cover. The lower moisture content in the thin bamboo habitats
can be contributed to the pores created by the roots of the vegetation, shade level and litter depth.
Chemical properties
pH did not vary enough to be discussed in this section. Other chemicals showed minor
variations between these three habitats. The most drastic difference was found in gold, howe
which was 14 ppm in the thick bamboo and less than 2 in the other two habitats, although this
difference is not biologically sig
in the h
not limited.
Biological communities
As expected, the trends in invertebrate abundance followed the trend of land use
intensity. In addition, since the banana had the thickest organic layer, signifying the greatest
amount of leaf fall, it is no surprise that the major decomposer groups were most abundant in tha
habitat. Many of the groups that occurred in the different forest habitats were completely absen
from all three of these habitats. Overall, the simpson’s index of diversity was nearly as low in th
thick bamboo area as the grazed pasture, suggesting that these two areas, where trampling and
land use was most intense, showed the lowest abundance and diversity of invertebrates. Th
absence of many major inv
e. In addition, it is possible that the thick bamboo is excreting a highly toxic allelopathi
compound that is preventing healthy invertebrate communities from establishing themselves.
50
Offsite sampling
These samples were taken in order to compare them to similar habitats in the FCRE
samples and to get more information on the surrounding soils. However, since the samples were
sent to different labs, we were unable to compare the chemical composition of the FCRE samp
with that of the off-site samples due to different analysis methods and units. Only data on the
physical and chemical properties were collected for these sites.
Physical properties
Both of the offsite pastures were sampled while cows were physically grazing, whereas
cows were never present during the 2 months that the sampling was done at the FCRE. Still
bulk density was relatively low in these scenarios, contradicting what was found in previous
studies. In addition, lower moisture content found in FCRE compared to the other two pastu
indicates that differences in compaction.
les
soil
res
or Hacienda Baru samples, the soil became more sandy as the transect progressed
each, grading from estuarine or marshy silts and clays inland to pure, dominantly
silicate e
ocean could contribute be a factor in
phosphorous, calcium and magnesium deposits that were deposited by sea spray and derived
ae, debris, guano and dead animals.
F
toward the b
beach sand. Moisture content at the beach was extremely low, due to the large pore spac
found in more sandy soils. Beach soils also had a high soil bulk density, due to the size of the
particles and thus the inverse relationship between soil bulk density and moisture content was
illustrated well.
Chemical properties
Chemical properties did not vary much between the off-site pastures, which is not
surprising due to the similar vegetation found in both sites. However, there were big differences
in the levels of manganese and iron, which were both found in higher concentrations in the
pasture near the ocean, suggesting that perhaps the plants in that pasture are healthier, due to
their ability to synthesize cholorphyll more effectively and activate enzymes more readily
(Motavallie et al 2008 ). Also, the proximity to the
from marine inputs, such as alg
Interestingly, in the Hacienda Baru samples, there was a trend of increasing phosphorous
concentrations moving from the primary forest toward the beach. This is puzzling, since
51
phosphorous is often considered one of the most limiting nutrients for plants and there w
lower plant growth and diversity found near the beach as opposed to the forest. In Hacienda B
3, the sample taken in the cocoa trees, there were extremely high levels of zinc, magnesium and
calcium, suggesting that the cocoa trees are not able to cycle these nutrients effectively. The
trend of increasing phosphorous with decreasing distance to the beach can be explained again by
sea spray deposits of marine nutrients.
Naturally Regenerated Secondary Forests
Nonbamboo vs. Bamboo
Soil characteristics
In general, the physical properties of the nonbamboo and bamb
as much
aru
oo regions of the naturally
study plot 1 are
relatively uniform. Neither the nonbamboo nor the bamboo areas had an organic layer,
indicating a high decomposition rate in both areas, which corresponds with high rates of
diversity and soil fauna activity in both regions. Both the nonbamboo and bamboo regions had
similar yellow-reddish subsoil colors in the A subsoil horizon, indicating little water logging
(Kohnke and Franzmeier 1995.) which is consistent with the bulk densities. Yellow-reddish
subsoil colors also usually a sign of good aeration (Kohnke and Franzmeier 1995). The low bulk
densities and yellow-reddish soil colors for study plot 1 and naturally regenerated forest areas
were surprising. Given that the FCRE was used for cattle farming, we had expected higher bulk
densities from compaction of previous land use. However, the low bulk densities are consistent
with other studies on land use and recovery in Costa Rica (Reiners et al 1994, Holl 1999).
Like the physical properties, the similar chemical properties of the nonbamboo and
bamboo regions indicate that the chemical elements in the soils of study plot 1 are relatively
uniform despite the differences in vegetation. Slight differences between the nonbamboo and
de a slightly higher percentage of phosphorus, manganese, and copper in the
bamboo soils (Table 13). Phosphorus, a primary nutrient, is used in large quantities by plants
for high r
regenerated secondary forests were rather similar, indicating that the soils in
bamboo soils inclu
energy bonds (ATP) to grow (Clatterback 2008). Micronutrients manganese and coppe
are important for plant enzymes (Clatterback 2008). We cannot determine whether the
increased amounts of nutrients allowed bamboo to grow in that area. In addition, the chemical
properties reveal the effects of previous cattle grazing as most macronutrients are present in
52
smaller quantities in the nonbamboo and bamboo soils than those in the soils of primary for
Both the nonbamboo and bamboo soils have higher quantities of iron, suggesting that leaching
may have reduced the uptake and recycling of nutrients into the forest biomass.
Table 13 : Comparison of macro and micronutrients between plot 1 nonbamboo and bamboo soils, othersoils in the naturally regenerated forests, and primary forests
Element Unit Primary Natural Regeneration Nonbamboo Bamboo Macronutrients
est.
K % 1.19 0.54 0.14 0.13 Ca % 0.62 0.08 0.05 0.05 Mg % 0.95 0.32 0.18 0.22 P % 0.07 0.039 0.079 0.118 S % 0.06 0.032 0.03 0.03 Micronutrients Fe % 7.68 7.47 16.5 16.9 Mn ppm 1250 1190 1270 1490 Zn ppm 146 113 91.6 117 Ni ppm 36.3 40.6 20.1 17.1 Mo ppm < 1 2 < 1 < 1 Cu ppm 81.4 67.4 325 529
Soil fauna characteristics
Results show that soil invertebrate diversity in the nonbamboo and bamboo were
relatively high. The Simpson’s Index of Diversity for bamboo and nonbamboo leaf litter and
extraction samples were similar, all which ranged around 0.75. The bamboo leaf litter sample
had a lower Simpson’s Index of Diversity (1-D= 0.6) which was most likely due to the ant
colony in one of the bamboo samples since Simpson’s Inde
dry
x of Diversity takes account
ofabun also
le for
atter
n both regions. The large number of Hymenoptera (n=202) in the
bamboo r
ve
dance. The species richness between the different areas and collecting methods were
similar except the bamboo dry extraction samples.
Soil macroorganisms including earthworms, termites, and ants are largely responsib
high decomposition rates in tropical regions, which in turn result in low content of organic m
in tropical regions (Lee and Wood 1971). There was no organic layer in the bamboo and the
nonbamboo soils. Earthworms and ants were present in both regions of the naturally regenerated
forests, indicating activity i
leaf litter due to the collection of an ant colony in the sample. Termites, on the othe
hand, were found only in nonbamboo areas (Table 12). Termites are responsible for intensi
mixture of organic and mineral soil components that is typical for surface horizon (Lee and
53
Wood 1971). The lack of termites in the bamboo areas may suggest that termites are unable to
utilize bamboo organic matter.
resentative of secondary naturally regenerated forests?
d
s.
on’s
nces in the chemical composition. Plot 1 soils
ave smaller quantities of macronutrients such as potassium and magnesium and larger quantities
per (Table 13). Plot 1 soils also had less nickel and
molybd e
lants
tities
nerated
e
boo samples are concentrated
ithin a 30m by 30m area. A past study has shown that low carbon accumulations in soils may
such as low soil surface area and warm and humid climate (Richter et al 1999).
Study Plot 1 has a small soil surface area compared to the large naturally regenerated area, and
Plot 1
Is plot 1 rep
The inventories of the vegetation within the naturally regenerated forests of the reserve
are being compiled to gather more information and data in the reserve. It is important to
determine whether the soils of study plot 1 are representative of the greater naturally regenerate
forest areas for further vegetation studies. Results show that the physical properties and soil
invertebrate biodiversity of plot 1 soils are similar to those of other naturally regenerated area
Plot 1 soils and other naturally regenerated forest areas have comparable percentages of sand,
silt, and clay percentages, textures, pH, and soil colors. A comparison between the Simps
Index of Diversity between the nonbamboo and bamboo areas of plot 1 and other sites in the
naturally regenerated secondary forests do not show great differences in soil invertebrate
biodiversity (Figure 14).
However, when the chemical properties of plot 1 soils and other naturally regenerated
forest soils are examined, there seems to be differe
h
of micronutrients such as iron and cop
enum in their soils. These differences in macro and micronutrients may be due to th
recovery rate of plot 1 in comparison with that of the larger naturally regenerated forests. P
require macronutrients in large quantities while micronutrients are required in smaller quan
(Clatterbuck 2008). If plot 1 is recovering at a slower rate than the greater naturally rege
forest area, since micronutrients occur in smaller quantities, it was be easier for plot 1 to
regenerate its micronutrients, whereas since macronutrients are required in such high quantities,
it would take longer for plot 1 to restore high quantities of the macronutrients. Also, the samples
from the naturally regenerated forests are from many different sites dispersed throughout th
naturally regenerated forest area whereas the nonbamboo and bam
w
be due to factors
54
thus it may be more difficult for that small patch to accumulate minerals. Although the physical
properties and invertebrate biodiversity in plot 1 soils are similar to other areas of naturally
regenerated forests on the FCRE, because the chemical elements are important for plant growth
and forest recovery, further studies are needed before we can conclude that plot 1 soils are
representative of the naturally regenerated secondary forests on FCRE.
Vegetation
In Plot 1, it was originally observed that not much vegetation grew around the bamboo
that grew in this naturally regenerated area. The bamboo in this naturally regenerated area was
Bambusa vulgaris. No Guadua angustifolia was observed. The foliar analysis in this study
analyzed minerals, and did not analyze components of organic allelotoxins. From our results,
cannot determine whether Bambusa vulgaris secretes allelotoxins into the soil that inhibits
vegetation growth. Our results merely shows that there are no significant differences in the
chemical compositions of the soils in nonbamboo and bamboo areas.
only
we
other
Current literature does not
nts
and use and forest recovery
Secondary forests deserve immediate conservation attention. Because secondary forests
an accumulate biomass in a relatively short amount of time, they have high potential to be
arbon sinks and provide for other ecosystem services (Alaverz-Yepiz et al. 2008). By
cilitating forest recovery in disturbed area, we can potentially influence the fate of tropical
inforest. We need to implement restoration and conservation practices to reduce erosion and
hemical changes caused by overuse, salinization, acidification or contamination of the soil.
owever, the nature of natural forest regeneration depends directly on the intensity, duration and
haracter of previous land use (Zamora and Montagnini 2007). Thus, we must first address
tructural degradation, such as compaction and reduced porosity, and then facilitate plant growth.
ince forest recovery is directly linked to the restoration of soil fertility, which is in turn closely
suggest that the species Bambusa vulgaris secretes allelotoxins, but given the lack of vegetation
around the bamboo, this may be an interesting topic to explore for future studies. The lack of
vegetation around the bamboo may also just be due to the nature of bamboo clusters. Since
bamboo grows in clusters, the high number of bamboo sprouts at each site requires high amou
of nutrients and outcompete other plant species.
L
c
c
fa
ra
c
H
c
s
S
55
related to above ground biomass, planting trees and adding organic material to the system will
ss. There are a variety of short-term and long term approaches to restoring accelerate the proce
soils that have severely been affected by human land use (Table 14 ). Table 14: Short-term and long-term approaches to soil problems in ecological restoration.
(Dobson et al 1997).
Assisted natural regeneration (ANR) is a method used for forest restoration that aims at
sing low cost planting methods to restore biodiversity and establish diverse commercial
lantations. ANR accelerates succession by removing or reducing barriers to natural forest
egeneration (Shono et al. 2007). Factors limiting post-dispersal seedling establishment include
ompetition from existing plants, lack of appropriate micro-sites for germination, and seed
redation (Doust et al. 2008). In addition, scarcity of nutrients, soil compaction, lack or excess of
oil humidity, high solar radiation and seed availability can limit tree regeneration (Zamora and
ontagnini 2007). In addition, seed dispersal rates are often the limiting factor in plant growth.
f we start with altering the seed dispersal abilities, we can then address other factors, such as
ompetition. Trees can be planted, in the form of a plantation, in order to attract seed dispersers,
uch as birds and bats, and increase the frequency of seed arrival in the disturbed areas. The
resence of tall trees also provides shade that can suppress the growth of grasses and other
u
p
r
c
p
s
M
I
c
s
p
56
herbaceous vegetation that requires high amounts of solar radiation. Regeneration is often slow
r
improve soil fertility and hasten recovery of species
ompo
ing these types of trees will be
ssential in the land recovery of FCRE, since increased soil N can enhance the capacity of the
ystem to support a more complex biological community.
By facilitating plant growth, we can not only enhance further plant growth but also
aintain a healthy fungi community. This is essential in order to enhance decomposition and
utrient cycling in the ecosystem. Fungi, particularly mycorrhizal fungi, which have more
mited dispersal and colonizing ability than bacteria, can be highly susceptible to land use
hange (Kasel et al. 2008). These microbe communities rely heavily on plant litter as their source
f nutrition, thus by facilitating vegetation growth, we can also enhance the fungi which perform
ital ecosystem processes.
We can make a case for the importance of forest conservation based on the data we
ollected in this study on the biological communities. Simply based on the important roles
vertebrates play in nutrient cycling and organic decomposition, as well as being towards the
ottom of a complicated forest food web, their conservation is essential if we want to maintain
ealthy forest communities and diverse tropical vegetation.
IMITATIONS AND RECOMMENDATIONS
imitations
We encountered some difficulties throughout this study. While we sampled 5 replicate
lots from each habitat, this turned out to be too few replicates to do statistical analysis with our
ata. Thus, we were only able to analyze our data qualitatively, which was difficult due to the
mount of data and the number of variables measured. In addition, while we chose the habitats
in open pastures due to degraded soil, but also because there are no good perches or habitats fo
seed dispersers, thus plants that are wind pollinated, such as grasses and ferns, are able to out-
compete tree seedlings (Zamora and Montagnini 2007). In areas with degraded soils, direct
planting of exotic or native trees to
c sition (Chazdon 2008). ANR lays out a set of steps to follow in order to achieve some of
these things (Shono et al. 2007).
Macedo et al. (2008) found that the use of legume trees was an efficient method for re-
establishing the nutrient cycling processes of a forest ecosystem. Certain legume trees form
efficient N2-fixing symbioses with mycorrhizal fungi. Identify
e
s
m
n
li
c
o
v
c
in
b
h
L
L
p
d
a
57
randomly, sometimes it was difficult to find a suitable place to sample with a consistent flat
find a G
selectio rmining significant differences in chemical soil
not
have lo s
was the first soil survey for the FCRE and we hope the data will provide a baseline in which
Forest
Our results indicate the physical properties within the FCRE property has remained
tructural properties have not been exceedingly destroyed by cattle grazing and provides a
facilitating the accumulation of healthy levels of nutrients in the soils. The restoration of
especially keystone soil fauna species. We recommend continually tracking the changes in soil
restora ific habitat within the FCRE.
Future Studies
data for anyone wanting to continue soil research on FCRE or do other ecological studies that
to look
suggest
portant to examine the role of soil at the FCRE in the carbon cycle (Richter et al 1999).
acronutrient, is only stored in organic matter, which is then released by slow decomposition.
n et
l 1997). Along with the data we collected, it would be important to incorporate the other
slope that was near a marked GPS tag on the FCRE property. In the future, it would be useful to
PS that would work under the forest canopy, thus allowing more freedom in site
n. Another challenge we faced was dete
composition in our samples. Although we examined other soil studies in Costa Rica, we did
cal data (such as from Hacienda Baru or Dominical area) to compare our data with. Thi
future soil composition changes can be tracked.
Recovery Recommendations
consistent despite its past history of cattle grazing. This is encouraging in that some of the
s
gateway to restoring the habitat. The next step in restoring the FCRE property includes
macronutrients and micronutrients will greatly help facilitate the growth of the soil community,
composition and soil fauna and further studies to better evaluate and design effective land
tion strategies for each spec
The next step this study is to enter all of the data into GIS, in order to provide accessible
relates directly to soil properties. Also, it would be important to do carbon analysis in the future
at biomass how carbon is cycled in soils in the tropics. Although previous studies
that mineral soils have low carbon accumulation and storage potential, it would be
im
Additionally, further nitrogen analysis in the soils is essential. Nitrogen, an important
m
As a result, nitrogen accumulation is a limiting factor to tropical forest development (Dobso
a
58
factors in soil formation, such as landform age, geologic parent material, slope and elevation.
Slope and elevation would be particularly interesting to examine in FCRE since the entire
e
hill and
Vegetation surveys are already in progress in the naturally regenerated forests at FCRE,
be inte rveys into other habitats. In addition, an expansion of
bambo ry in that habitat. We
CONC
major c . There was an
soil in areas with larger impacts and less
ecovery time. And most drastically, we saw a change in the soil invertebrate abundance and
s opposed to the more disturbed habitats. Since soil fauna has been known to be a good
the naturally regenerated secondary forest and the hardwood forest have the greatest abundance
property lies on a slope, so levels of erosion and nutrients can be compared from the top of th
the bottom. Transects would be a useful tool to look at this.
however, it will be an important step to correlate the vegetation data with the soil data. It would
resting to expand the vegetation su
our Foliar analysis of the bamboo would be to examine the organic allelotoxins that the thick
o might be excreting that is preventing the growth of understo
recommend doing an analysis of the organic compounds in the soil to account for this.
LUSIONS
In this study, we found evidence that deforestation and other human disturbances cause
hanges in the chemical properties of soil and the diversity of soil in fauna
overall decrease in macro and micronutrients in the
r
diversity, with much healthier communities in the forested habitats, especially the primary forest,
a
bioindicator of soil health and human impacts, we can see that this is indeed true. Because both
59
and diversity of invertebrates, besides the primary forest, it is possible for a disturbed area to
umber of things humans can do to facilitate the recovery of forest.
assistan like to thank Professor Juan
helpful history. Thanks to Dr. Diane Thompson, Chris
our
data. W ng set up the experiment in
Costa Rica and for providing a lot of the equipment we used.
recover significantly in a window as short as 15 years. This is encouraging, since there are a
n
ACKNOWLEDGEMENTS
We would like to thank Dr. Jonathan Wright and Dr. Rick Hazlett for their help in the
field in Costa Rica with sampling and experimental setup and also for their continual support and
ce during data analysis and draft revision. We would also
Araya for his help in Costa Rica.
Thanks to Carol Brandt for helping to organize the research in Costa Rica and provide
background information on the FCRE
Gurney, and Ashley Scott that measured the vegetation on Plot 1 this summer for supporting
e would also like to thank Dr. Donald McFarlane for helpi
60
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ties related to land use history of old-growth and secondary tropical dry forests in northwestern Mexico.” Forest Ecology and Management. 256: 355-366.
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A Chemical analysis Appendix 1: Chemical properti of abitats and study plot 1 of FCRE
Chemical UPrimary forest
regenerated forest
Hardwood forest
Thick Bamboo
Thin Bamboo Banana
Recovering pasture Pasture
Plot 1- non-bamboo
Plot 1- bamboo
stures at L 4 .
a Selva Biological Station, a e.” R to nratio colo 1 (5 : 45 61
PPENDICES
es all hNaturally
nit
Au b < 2 < 2 < 2 14 < 2 < 2 < 2 < 2 < 2 < 2 pp
Ag ppm < 0.05 < 0.05 < 0.05 < 0.05 0.06 0.13 0.09 < 0.05 < 0.05 < 0.05
Cu ppm 81.4 67.4 129 610 373 657 806 373 325 529
Cd ppm < 0.1 < 0.1 < 0.1 < 0.1 < 0.1 < 0.1 < 0.1 < 0.1 < 0.1 < 0.1
66
Mo ppm 2 1 < 1 < 1 < 1 < 1 < 1 < 1 < 1 < 1
Pb p 12.2 9 13.2 6 7.3
Ni p 4 63.3 11.2 11.3 10 20.1 17.1
Zn pp 3 87.7 154 135 186 61 174 91.6 117
S 0 0.02 0.04 0.01 0.03 03 0.04 0.03 0.03
Al 8.9 4 11.1 .8 .8 10.6 8.76 12.3
As pp 8 8 4 4 < 0.5 5 6 11 < 0.5
Ba pp 8 416 336 456 1080 69 689 127 140
Be pp .5 0.6 1 0.8 1.4 9 0.6 < 0.1 0.9
Bi pp < 0.1 < 0.1 0.1 < 0.1 < 0.1 .1 < 0.1 < 0.1 < 0.1
Br pp 13 19 8 22 22 21 27 20
Ca 0.62 0 0.26 1 0.14 08 0.16 0.05 0.05
Co pp 28 24 38 41 30 32 28
Cr pp 8 3 141 6 37 5 < 1 56 < 1
Cs pp 1.15 0 0.51 1.05 1.71 1.24 94 2.45 1.42 1.91
Fe 7 5.3 13.8 14.1 .3 13.3 16.5 16.9
Hf pp 0.1 1.5 0.9 2.8 2.6 2 < 0.1 0.3 1.5
Hf pp 4 5 5 8 9 7 7 11 7 7
Ga pp 1 .9 23.4 29 .6 .6 25.3 20.3 32.9
Ge pp .8 0.1 0.3 0.2 0.7 2 0.2 0.2 0.3
Hg pp 1 1 < 1 < 1 < 1 < 1 < 1 < 1
Chemical Un
Naturallregenera d forest
Hardwood forest
ThBa
in mboo Banana
Recov ng pastur Pasture
Plot 1- non-bamboo
Plot 1- bamboo
Ir p 5 < 5 < 5 < 5 < 5 < 5
K 9 0 4 0.25 0.41 14 0.42 0.14 0.13
Li pp 3 .4 19.6 0.9 17.3 .7 12.9 8.3 10
Mg 5 0 0.21 .13 0.34 31 0.25 0.18 0.22
Mn pp 0 1 2470 50 2420 1270 1490
Na 2 0 0.17 0.05 0.08 0.08 04 0.07 0.04 0.02
Nb pp 0.3 0.7 0.6 1.4 4 0.2 0.1 0.6
P 0. 9 0.066 0.184 0.229 12 0.12 0.079 0.118
pm 4.3 5.9 5.2 9.9 12.5
pm 36.3 0.6 6.6 4.9
m 146 11 1
% 0.06 .02 0.
% .89 12.4 9.88 11 12
m 11 < 0.
m 656 19 2
m 0.2 0 0.
m < 0.1 < < 0
m 15 27 1
% .08 0.1 0.1 0.
m 20 25 28
m 10 13 < 1
m .65 0.
% 7.68 .49 8.61 1 17
m < 3.9 0.
m
m 10.6 6 .6 29 28 29
m 0.1 0 0.
m < < < 1 < 1
it forest Primary
y te ick Th
mboo Baerie
pb < < 5 < 5 < 5 < 5
% 1.1 .54 0.2 0.17 0.
m 41.5 7 12.7 1 14
% 0.9 .32 0.22 0 0.
m 125 190 1100 2060 2160 23
% 0.5 .05 0.
m 0.2 5.9 0.
% 0.07 03 0.168 0.
67
Rb pp 10 40.5 .2 25.6 9.3 11.9 m 28.1 6.5 15.9 16.9 11
Re pp 0. .001 0.001 < 01 <
0.001 < 0.001 0.001
Sb pp .9 0.8 0.7 < 0.1 .1 0.6 0.9 < 0.1
Sc pp 3 37.4 .2 36.5 .1 31.5 56.4 54
Se pp 1 1 1.6 7 < 0.1 < 0.1 1
Sn pp 2 < 1 < 1 1 1 1 < 1
Sr pp .4 24.4 .6 .9 39.2 28 64.1
Ta pp .4 < 0.1 0.1 < 0.1 < 0.1 .1 < 0.1 < 0.1 < 0.1
Te pp 1 < 0.1 .1 < 0.1 .1 < 0.1 < 0.1 < 0.1
Ti 0.22 0 3 2 0.55 32 0.21 0.39 0.26
Th pp 1.2 1.2 3 9 7.7 2.7 2.4
Tl pp 0.18 0 1 0.09 09 0.11 0.07 0.09
U pp 2.1 3.9 .4 2.6 5 2.4 1.1 1.9
V pp 85 3 107 165 20 58 203 281
W pp < 1 < 1 < 1 < 1 < 1 < 1 < 1
Y pp < .1 14.4 26.1 24.8 46.7 .8 25 12 12.9
Zr pp 67 128 128 14 4 9 66
La pp .2 7.2 3.4 57.5 .6 33 8.6 9.3
La pp .8 10 24.1 43.2 71.4 .6 39 15.8 12.5
Ce ppm 18.9 0.9 24.3 62.9 62.1 92.9 47 71.5 34 42.7
Chemical UPrimary forest
Naturally regenerated forest
Hardwood forest
Thick Bamboo
Thin Bamboo Banana
Recovering pasture Pasture
Plot 1- non-bamboo
Plot 1- bamboo
Pr ppm 2.3 0.1 2 6.1 10 17.7 5.7 8.4 2.7 3.4
Nd ppm 9.8 0.4 8.5 25.2 38.6 71.4 24 32.7 11.8 14.2
Nd ppm 19 < 5 < 5 22 31 70 22 32 26 13
Sm ppm 2.4 0.1 1.9 5.3 7.5 14.2 5.3 7 2.8 3.2
Sm ppm 3.2 1.1 2.2 5.7 7.7 13.3 5.3 7.1 4.2 3.4
Eu ppm 0.81 0.05 0.63 1.53 2.01 3.96 1.7 1.88 0.83 0.9
Eu ppm 0.7 0.5 0.9 1.6 2.3 4.4 1.8 2.7 1.5 1
Gd ppm 2.9 0.2 2.5 6.1 7.2 13 6.1 6.4 2.9 3.1
m < 0.001 004 < 0 0.002 < 0.001 0.0
m < 0.1 0 < 0.1 < 0
m 30.7 0.7 42.3 38 53
m 0.3 1.2 1.3 1. 0.
m 1 < 1 < 1
m 64.7 6 19.2 29.9 53 19
m < 0.1 0 < < 0
m < 0. 0.1 < < 0.1 < 0 < 0
% .77 0.2 0.61 0.2 0.
m 0.6 2.4 6.7 1.
m .18 0. 0.09 0.11 0.
m 1.8 2.5 3 2.
m 191 13 293 3
m < 1 < 1 < 1
m 17.2 0 26
m 4 142 50
m 8 0 19.2 3 17
m 10.8 4 21
nit
68
Dy ppm 8 4.7 5.5 2.5 2.5 3.2 0.4 2.2 4.5 5.1 8.
Tb pp 0.5 < 0.4 1 0.9 0.9 0.4 0.5
Tb pp < 5 < 0.5 < 0.5 1.1 2.2 < < 0.5 < 0.5 < 0.5
Ho pp 0.8 0.6 1.2 2.1 1.2 0.6 0.6
Er pp 1 4 1.7 3.2 3.5 5.6 3.2 1.6 1.7
Tm pp 1 0.3 0.5 0.5 0.8 0.5 0.2 0.3
Yb pp 4 1.6 3 3.1 4.8 2.7 1.5 1.7
Yb pp 2.9 1 2.6 4.6 6.6 5.4 3.6 2.7
Lu pp < 0.1 < 1 0.2 0.5 0.2 0.2 0.2
Lu pp 0. 7 0.46 0.66 0.87 1.07 0.88 0.56 0.43
Mass .897 1. 1 1.01 1. 21 1.15 0.897 0.945 1.11
m 0.1 0.9 1.8
m < 0.5 0. 0.5
m 0.1 1.1 1.2
m 2. 0. 3.3
m 0.4 0. 0.5
m 0.7 0. 3
m 2. 4.3 4
m 0. 0.4 0.4 0.4
m 0.48 3 0.75
g 0 0 01 1. 1.07
Appendix 2: Offsite chemical analysis pH cmol(+)/L % mg/L H2O Ca CICE SA P Zn Cu Fe Mn ACIDEZ Mg K 5.5 4 5 10 3 1 10 5 0.5 1 0.2 Pasture eet 6.5 0.23 24.04 27.42 1 2 2.2 6 32 14 across the str 2.64 0.51Pasture 5.5 0.56 16.06 21.98 3 ND 2.8 5 86 93 near ocean 4.90 0.46Haciend 5.6 0.34 0.23 15.30 2 1 1.8 3 105 49 a Baru 1 1 4.44 0.29Haciend 5.2 1.36 2.50 6.03 23 1 1.7 3 114 98 a Baru 2 1.90 0.27Haciend 5.7 0.24 27.75 34.52 1 2 4.2 4 21 14 a Baru 3 6.23 0.30Haciend 5.9 0.38 3.11 4.55 8 2 0.8 1 32 12 a Baru 4 0.96 0.10Haciend 5.8 1.96 6.07 0.28 11.23 17 1.7 3 94 11 a baru 5 2.92 5
69
Appendix 3: Nitrogen and MO chemical
analysis
% N MOPrimary forest 0.28 2.7 Naturally Regenerated Sec
3.1 ondary
Forest 0.31 Hardwood forest 3.5 0.28Thick bamboo 5.5 0.35 Thin bamboo 3.3 0.23 Banana plantation 6 3.8 0.2Recovering pasture 0.26 4.2 Grazed Pasture 0.30 4.3 Pasture across the street 2.5 Pasture near ocean 3.1 Hacienda Baru 1 4.5 Hacienda Baru 2 5.9 Hacienda Baru 3 3.5 Hacienda Baru 4 4.7 Hacienda Baru 5 1.6
vertebrate Diversity
ppendix 4: All taxon found in litter samples at FCRE
ON (Order) Sub-order Family Number found
In A TAXOligochaeta 1 Gastropoda 10
nychophora 1 poda Oniscidea Oniscidae 45 poda Oniscidea Trichoniscidae 115
erida 7 icillata 21
lydesmida 5 eophilomorpha 10
OIsoIsoGlomPenPoG
70
Lithobiomorpha 4 Scolapendromopha 4
nae 37 i 45 i Trom diidae 15 ion Trogl 10
46 c 5 a yg 13
26 ona 102 eon 52
t 1 2
a 3 p 1
Ascalaphidae 3 2
t 1 t Aphid 5 t Aradi t Blissi t hyncha Cicad t hyncha Cicad t cerata Mirid 3 t cerata Nabid 7 t Phop 1 t ptear Piesm 5 t Redu t Rhop t cerata Threo 16 t 2
fera 58 3 Byrrh 2
Coleop Adephaga Carab 1 Polyphaga Chrys melidae 1
haga lerid 4 op Polyphaga u 13
Latrid 6 Mord 1
Ocho 3 Scara
Scydm Silphi 1 Staph 20
p a Acroc
Ara Acar Tetranychidae Acar biOpil es obedae Pseudoscorpion Ricinu lei
JapDiplurProtura
idae
Collembola ArthropleCollembola Symphypl a Odana a ZygopteraBlattodae Isopter Derma tera Neuroptera Psocoptera Orthop era Hemip era idae Hemip era dae 4Hemip era dae 9Hemip era Auchenorr ellidae 11Hemip era Auchenorr idae 3Hemip era Gymno ae Hemip era Gymno ae Hemip era alidae Hemip era Hetero atidae Hemip era viidae 2
1HemipHemip
era era
Gymno
alidae coridae
Hemip era Thysanoptera TubuliCoeloptera Coleoptera ida
tera idaeColeoptera oColeoptera Polyp C ae Cole tera Curc lionidae Coleoptera iidae Coleoptera ellidae Coleoptera Polyphaga daeidae Coleoptera Polyphaga bacidae 3
1Coleoptera aenidae ColeopColeop
tera tera
dae ylinidae
Coleoptera 95 10
Tricho tera Dipter eridae 2
71
Diptera cera BombBrachy yliidae 1 Diptera rhapha Callip 2 Diptera Cecid 3
a Chiro e 1 a rhapha Musc 1 a Polic 1 a Psych 26 a Sumi 4 a rhapha Tachi 2 a Tipul 2 a 7 p 2
ta Braco 1 ta Evan 2
Form 2 yta Sirici 1
1
Cyclor horidae omyiid nomidaDipter Nematocera
Dipter Cyclor idae Dipter hopodidae Dipter Nematocera odidae Dipter Nematocera liidae Dipter Cyclor nidae Dipter Nematocera idae Dipter Lepido era Hymenoptera Apocri nidae Hymenoptera Apocri iidae Hymenoptera icidae 28Hymenoptera Symph dae Hymenoptera
Appendix 5: All ta in dry extraction at FCRE
er Family N mber found
xon found Order Sub-ord uOligoc 3 haeta Gastro 9
d a Oniscidae 1 d a Tric 22 i 5 h 2 b 1 p 1
22 Orb 5 Tetr 9
poda Isopo a OniscideIsopo a Oniscide honiscidae Penic latta Geop ilomorpha Litho iomorpha Scola endromorpha Aranae Acari itidae Acari anychidae
72
Acari Trom bidiidae 38Pseudoscorpion 4
r Japy 12 r 17 m phypleo a 504 m ropleon r Kalo 7
pennia Myr dae 3 p 1 p Aly 1 p Aph 3 p enorrhyncha Cica 77
Hemiptera Form ae 2 Hemiptera Gynmocerat Mir ae 5
Gymnocerat Nabi e 1 mip Pho 1
iptera Heteroptera s 1 p ta Pyrr 2 p rat Thy e 1 n a 18 p
Coleoptera Bostrichidae 1 Coleoptera Byrrhida 3 Coleoptera Carabidae 1 Coleoptera Polyphaga Chrysomelidae 8 Coleoptera Polyphaga Cleridae 4 Coleoptera Curculionidae 55 Coleoptera Polyphaga Histeridae 2 Coleoptera Latridiidae 14 Coleoptera Gymnocerata Pyrrhocoridae 1 Coleoptera Polyphaga Scarabacidae 6 Coleoptera Scydmaenidae 4 Coleoptera Staphilinidae 13 Coleoptera 24 Trichoptera 105 Diptera Acroceridae 7 Diptera Brachycera Bombyliidae 1 Diptera Cyclorrhapha Calliphoridae 2 Diptera Cecidomyiid 19 Diptera Nematocera Chironomidae 17 Diptera Nematocera Culicidae 15 Diptera Cyclorrhapha Dropophilidae 9 Diptera Cyclorrhapha Muscidae 13 Diptera Mycetophilidae 12 Diptera Nematocera Psychodidae 317 Diptera Cyclorrhapha Sarcophagidae 1 Diptera Nematocera Simuliidae 38
Cyclorrhapha Tachinidae 9 Diptera Cyclorrhapha Tephritidae 7
Diplu a gidae Protu a Colle bola Sym nColle bola Arth a 27Isopte a termitidae Neuroptera Plani meleontiOrtho tera Hemi tera didae Hemi tera ididae Hemi tera Auch dellidae
icida id
Hemiptera a daHe tera palidae Hem Pie matidae Hemi tera Gymnocera hocoridaeHemi tera Gymnoce a reocoridaThysa optear TubuliferCeleo tera 1
Diptera
73
74
Diptera Nematocera Tipulidae 8 Diptera 131 Lepidoptera Limacodidae 1 Lepidoptera Pyralidae 1 Lepidoptera 1 Hymenoptera Apocrita Braconidae 1 Hymenoptera Symphyta Diprionidae 2 Hymenoptera Formicidae 70 Hymenoptera Apocrita Megachilidae 1 Hymenoptera Symphyta Siricidae 1 Hymenoptera Apocrita Sphecidae 1 Hymenoptera Symphyta Tenthredinidae 1 Hymenoptera 4
Appendix 6: Identified invertebrates in nonbamboo areas of naturally regenerated forests
LEAF LITTER phylum subphylum class subclass order suborder family abundance Annelida Oligochaeta Haplotaxida 1 Mollusca Gastropod 2 Mollusca Gastropod Pulmonata 1 Arthropoda Crustacea Malacostraca Isopoda Oniscidea Trichoniscidae 17 Arthropoda Myriapoda Diplopoda Penicillata Polyxenida 2 Arthropoda Myriapoda Symphyla 1 Arthropoda Chelicerata Arachnida Acari Prostigmata Bdellidae 1 Arthropoda Chelicerata Arachnida Acari Prostigmata Trombidiidae 2 Arthropoda Chelicerata Arachnida Acari Prostigmata 1 Arthropoda Chelicerata Arachnida Acari Prostigmata Eupodina Dictynidae 1
75
Arthropoda Chelicerata Arachnida Acari Orbatida Orbatidae 11 Arthropoda Chelicerata Arachnida Acari Orbatida Orbatidae 4 Arthropoda Chelicerata Arachnida Acari 2 Arthropoda Chelicerata Arachnida Araneae 1 Arthropoda Chelicerata Arachnida Araneae Leptonetidae 1 Arthropoda Chelicerata Arachnida Pseudoscorpions 1 Arthropoda Hexapoda Entognatha Collembola Arthropleona Isotomidae 4 Arthropoda Hexapoda Entognatha Collembola Arthropleona Isotomidae 1 Arthropoda Hexapoda Entognatha Collembola Arthropleona Isotomidae 1 Arthropoda Hexapoda Entognatha Collembola Arthropleona Onychiuridae 2 Arthropoda Hexapoda Insecta Isoptera Hodotermitidae 1 Arthropoda Hexapoda Insecta Orthoptera Ensifera Gryllidae 1 Arthropoda Hexapoda Insecta Hemiptera 1 Arthropoda Hexapoda Insecta Hemiptera 1 Arthropoda Hexapoda Insecta Hemiptera Gymnocerata Aradidae 1 Arthropoda Hexapoda Insecta Hemiptera 3 Arthropoda Hexapoda Insecta Hemiptera Pentatomidae 1 Arthropoda Hexapoda Insecta Thysanoptera 1 Arthropoda Hexapoda Insecta Diptera Psychodidae 1 Arthropoda Hexapoda Insecta Hymenoptera Formicidae 9 DRY EXTRACTION phylum subphylum class subclass order suborder family abundance Annelida Oligochaeta Haplotaxida 4 Arthropoda Crustacea Malacostraca Isopoda Oniscidea Trichoniscidae 1 Arthropoda Chelicerata Arachnida Acari Orbatida Orbatidae 2 Arthropoda Chelicerata Arachnida Acari Prostigmata Bdellidae 1 Arthropoda Chelicerata Arachnida Araneae Labidognatha Dictynidae 1 Arthropoda Hexapoda Entognatha Collembola Isotomidae 1 Arthropoda Hexapoda Entognatha Collembola Isotomidae 1 Arthropoda Hexapoda Insecta Isoptera termitidae 2 Arthropoda Hexapoda Insecta Homoptera Auchenorrhyncha Cicadellidae 2 Arthropoda Hexapoda Insecta Homoptera Auchenorrhyncha Cicadellidae 3 Arthropoda Hexapoda Insecta Homoptera Auchenorrhyncha Cicadellidae 1 Arthropoda Hexapoda Insecta Homoptera Auchenorrhyncha Cicadellidae 1 Arthropoda Hexapoda Insecta Hemiptera Pentatomidae 1
Arthropoda Hexapoda Insecta Hempitera larvae Pentatomidae 1
Arthropoda Hexapoda Insecta Coleoptera Byrrhidae 1 Arthropoda Hexapoda Insecta Coleoptera Polyphaga Scolytidae 11 Arthropoda Hexapoda Insecta Coleoptera Polyphaga Staphylinidae 1 Arthropoda Hexapoda Insecta Coleoptera Polyphaga Pselaphidae 1 Arthropoda Hexapoda Insecta Coleoptera Polyphaga Scydmaenidae 1 Arthropoda Hexapoda Insecta Coleoptera Polyphaga Leiodidae 1 Arthropoda Hexapoda Insecta Trichoptera 1 Arthropoda Hexapoda Insecta Trichoptera 1 Arthropoda Hexapoda Insecta Diptera 1
76
Arthropoda Hexapoda Insecta Diptera Nematocera Chironmidae 2 Arthropoda Hexapoda Insecta Diptera Nematocera Psychodidae 3 Arthropoda Hexapoda Insecta Diptera Nematocera Ceratopognidae 2 Arthropoda Hexapoda Insecta Diptera Nematocera Mycetophilidae 1 Arthropoda Hexapoda Insecta Diptera Nematocera Mycetophilidae 3 Arthropoda Hexapoda Insecta Diptera Culicidae 22 Arthropoda Hexapoda Insecta Diptera Culicidae 4 Arthropoda Hexapoda Insecta Diptera Culicidae 4 Arthropoda Hexapoda Insecta Hymenoptera Cynipidae 1 Arthropoda Hexapoda Insecta Hymenoptera Formicidae 1 Arthropoda Hexapoda Insecta Hymenoptera Apocrita Cyncipoidea 1 Arthropoda Hexapoda Insecta Hymenoptera Symphata 1
Appendix 7: Identified invertebrates in bamboo areas of naturally regenerated forests
LEAF LITTER
phylum subphylum class subclass order suborder family abundance Annelida Oligochaeta Haplotaxida 1 Arthropoda Crustacea Malacostraca Isopoda Oniscidea Trichoniscidae 23 Arthropoda Myriapoda Diplopoda 1 Arthropoda Myriapoda Symphyla 3 Arthropoda Chelicerata Arachnida Acari Orbatida Orbatidae 10 Arthropoda Chelicerata Arachnida Acari Orbatida Orbatidae 5 Arthropoda Chelicerata Arachnida Acari Orbatida Orbatidae 13 Arthropoda Chelicerata Arachnida Acari 1 Arthropoda Chelicerata Arachnida Acari Prostigmata Bdellidae 1 Arthropoda Chelicerata Arachnida Acari Prostigmata 4 Arthropoda Chelicerata Arachnida Acari 1 Arthropoda Chelicerata Arachnida Opilliones 1 Arthropoda Chelicerata Arachnida Opilliones 1 Arthropoda Chelicerata Arachnida Opilliones 1 Arthropoda Chelicerata Arachnida Pseudoscorpiones 1 Arthropoda Chelicerata Arachnida Pseudoscorpiones 1 Arthropoda Hexapoda Entognatha Collembola Onychiuridae 1 Arthropoda Hexapoda Entognatha Collembola Onychiuridae 3 Arthropoda Hexapoda Entognatha Collembola Onychiuridae 1 Arthropoda Hexapoda Insecta Psocoptera Troctomorpho 5 Arthropoda Hexapoda Insecta Hempitera 2 Arthropoda Hexapoda Insecta Coleoptera Polyphaga Scolytidae 3 Arthropoda Hexapoda Insecta Coleoptera Dermestidae 1 Arthropoda Hexapoda Insecta Coleoptera Curculionidae 4 Arthropoda Hexapoda Insecta Coleoptera Archostemata Carabidae 1 Arthropoda Hexapoda Insecta Hymenoptera Formicidae 1 Arthropoda Hexapoda Insecta Diptera Culicidae 1 Arthropoda Hexapoda Insecta Diptera Nematocera Psychodidae 1 Arthropoda Hexapoda Insecta Diptera Nematocera Mycetophilidae 1 Arthropoda Hexapoda Insecta Hymenoptera Formicidae 1 Arthropoda Hexapoda Insecta Hymenoptera Formicidae 200+
77
DRY EXTRACTION
phylum subphylum class subclass order suborder family abundance Annelida Oligochaeta Haplotaxida 4 Arthropoda Crustacea Malacostraca Isopoda Oniscidea Trichoniscidae 1 Arthropoda Hexapoda Entognatha Diplura Japygidae 1 Arthropoda Hexapoda Entognatha Diplura Japygidae 1 Arthropoda Hexapoda Insecta Homoptera Auchenorrhyncha Cicadellidae 1 Arthropoda Hexapoda Insecta Hemiptera Miridae 2 Arthropoda Hexapoda Insecta Coleoptera Polyphaga Scolytidae 4 Arthropoda Hexapoda Insecta Coleoptera Staphylinidae 1 Arthropoda Hexapoda Insecta Trichoptera Hydroptilidae 1 Arthropoda Hexapoda Insecta Diptera Chironomidae 2 Arthropoda Hexapoda Insecta Diptera Simuliidae 1 Arthropoda Hexapoda Insecta Diptera 1 Arthropoda Hexapoda Insecta Diptera Psychodidae 2 Arthropoda Hexapoda Insecta Diptera Culicidae 2 Arthropoda Hexapoda Insecta Hymenoptera Formicidae 2