Linaria: an information system to implement GLOCHAMORE project and promote conversion of information into knowledge in Sierra Nevadapromote conversion of information into knowledge in Sierra Nevada Biosphere Reserve

BONET GARCÍA, F. J.; PÉREZ-LUQUE, A.J., PÉREZ-PÉREZ, R.Laboratorio de ecología. Centro Andaluz de Medio Ambiente. University of Granada-Junta de Andalucía. fjbonet@ugr.es

Sierra Nevada Global Change Observatory is a long term monitoring program whose main aims are to

WikiBibliography

manager

g y g g p gassess the effects of global change in this LTER site. The basic objective is to ensure the collection ofnecessary information to identify as early as possible the impacts of global change, and designmanagement actions that minimize them. The data generated by this set of methodologies must betransformed into useful knowledge for adaptive management of natural resources. The key issues are theintegration and analysis of monitoring data by an information management system, and the transfer ofcurrent scientific knowledge to society and the natural resource managers through effective

Reports, slides,

id t

that are managed using tools from

web 2.0

ydissemination.

Sierra Nevada is an isolated high mountain (reaching 3482 m. a. s. l.)located in Southern Spain. It’s considered the most importantbiodiversity hotspot in the Western Mediterranean region. Somedescriptive information:

No systematic analyses,

that create

videos, etc.

Pressure, response and state

p

- 2100 vascular plant (25 % and 20 % of Spain and Europe flora)- 80 vegetal endemic species - 2000 km2

-Biosphere Reserve (UNESCO)- Natural and National Park

SPAIN

A scientific workflow

management system

that creates

indicatorsthat is converted

into useful knowledge

through two different routes

Wisdom

-61 municipalities - 90.000 inhabitants

Sierra Nevada

that are stored in relational databases, obtaining

Queryable information

Systematic analyses

run through

that is properly documented using

Knowledge

Raw data

g

in each of these spatial entities

monitoring methods

documented using two international

metadata standards

Ecological metadata

Inspire

I f ti

Municipality

monitoring methods are applied to obtain

metadata language

(EML)

pdirective

(ISO 19115)Information Information is analyzed and converted in useful

knowledge by means of different techniques (niche modeling, spatial analysis, regression, etc.). These algorithms are calculated using a workflow management software whose nucleus is called Kepler (https://kepler-project.org/)

>

MODIS pixel

Juniper cuadrat

Meteo

Municipality

Raw data are stored in relational databases that are managed by PostgreSQL. The use of this databases allows us to stablish spatial and alphanumerical relationships between the different data packages. Standarized Query Language (SQL) significantly

>Data

This useful knowledge is expressed as a set of indicators. We have followed the state-pressure-response paradigm in the design of this indicator system. Results are shown in a web portal where managers and scientist can browse the indicators and download raw data.

>

Meteo station

Metadata are data about data. Using metadata, we are >

Standarized Query Language (SQL) significantly improves the way information is accessed.

We are using mobile devices (PDAs, smartphones, etc.) to facilitate the upload of raw data to those normalized databases.

Real worldable to document the raw data by means of labeling. Metadata allows to answer some important questions about data: who created them?, How are arranged?, When were collected?, etc.

This is the URL that we use to harvest the metadata in EML format: http://apps.iecolab.es/linaria/panel/harvestlist?admVolume of

Diatomeal i

Land use changeWild boar

Dispersantbirds

Snow covermonitoring

Air pollutionhttp://apps.iecolab.es/linaria/panel/harvestlist?administracion=ceamaneros

Physical-chemicalwater condition

Trout Ecologicalstate ofstreams

Volume offlow

Phytoplancton Plecoptera Junipercommunities

Humidgrasslands

Forest pests

Spanishibex

GLORIA

Reptiles

Forestregeneration

LepidopteraAmphibia

monitoring

Carbon flux

Meteo information

Plant phenology

Protocol complexityTime

series length

Publication date

Specific details

General details

tain

ed in

Maintaining the useful information if we use databases

We have created a monitoring program with more than 30 protocols whose methodology have been validated scientifically and collect information for more than 100 environmental variables that are surrogates of ecosystem functions. This figure shows the monitoring protocols. The size shows the length of the temporal series, the colour shows the thematic field, and the position in the x

i h th l it f th th d l d

>50 years

Retirement or change in researcher’s career

Researcher’s death

Info

rmat

ion

cont

ecol

ogic

al d

ata

Time

Loss of useful information in the case of not using database or metadata

(Mitchener et al. 1997)

axis shows the complexity of the methodology used.