Use of biodiversity modelling in environmental conservation - a case study Marinez Ferreira de Siqueira Giselda Durigan Mauro Muñoz Fabrício Pavarin A.

Use of biodiversity modelling in environmental conservation - a case

study

Marinez Ferreira de SiqueiraGiselda DuriganMauro Muñoz

Fabrício PavarinA. Townsend Peterson

Use of biodiversity modelling in environmental conservation - a case study

• CRIA is working on the development of predictive geographic distribution models of trees in areas where the original vegetation is very fragmented or has been completely destroyed.

• We are testing the use of modeling tools to help in biodiversity conservation studies.

• Environmental data with good resolution together with precise data on species occurrence is fundamental

• OBJECTIVE: TO PRODUCE DETAILED AND ACCURATE PREDICTIVE MAPS OF GEOGRAPHIC DISTRIBUTIONS OF SPECIES OF INTEREST FOR CONSERVATION

Aspidosperma cylindrocarpon Müll. Arg. (Apocynaceae)

Data points come from “Species Link” (http://splink.cria.org.br/simple_search) and the geographic coordinates of points were obtained using “geoLoc” (http://splink.cria.org.br/geoloc)

ClimateIPCC - Intergovernmental Panel on Climate Change (1961-1990)http://www.ipcc.ch

CIAT (Jones, 1991 in http://www.floramap-ciat.org/ing/climate-grid.htm)Resolution: 0,17º (10’).

Worldclim Version 1.1 Global Climate Surfaces (obtained courtesy of Robert Hijmans) Resolution: 0,0083333o. (a square kilometer grid)

source: Dr Ingrid Koch

Topography U.S. Geological Survey’s Hydro-1K, resolution: 0.01º (http://edcdaac.usgs.gov/gtopo30/hydro)Layers: elevation, slope, aspect, and topographic index (tendency to pool water)

Soil

IAC – 1:500.000

Modelling biodiversity for São Paulo State

Soil Map - Brazil

Scale:Brazil: 1: 5.000.000 – source: LBA IBGE 1981

Scale:

Brazil: 1: 5.000.000 – source: IBGE 1981

São Paulo: 1:500.000 – source IAC 1999

Watershed of Médio Paranapanema: 1:250.000 – source IAC 1996

Soil Map of Brazil, São Paulo State and Watershed of Médio Paranapanema

Use of biodiversity modelling in environmental conservation - a case study

Data completely available on SinBiota and SpeciesLinK projects (CRIA Fapesp)

Xylopia aromatica (Annonaceae) Environmental data: soil, geology, temperature, precipitation

Blue: present points for Xylopia

Red: absence points for Xylopia

Green: probable absence points for Xylopia

Use of biodiversity modelling in environmental conservation - a case study

Summary of species richness (19 species)

Areas of maximal species richness

Area with great probability of occurrence of all species

Use of biodiversity modelling in environmental conservation - a case study

Map: erosion risk

Intersection between areas with great risk of erosion and greater probability of species occurence

Areas with great risk of erosion

Casearia sylvestrisCopaifera langsdorffiiCroton floribundusGochnatia polymorphaLuehea grandifloraMachaerium acutifoliumMachaerium brasilienseMatayba elaeagnoidesOcotea corymbosaPera obovataPlatypodium elegansSiparuna guianensisStryphnodendron obovatumSyagrus romanzoffianaTabebuia ochraceaTabernamontana hystrixTapirira guianensisTerminalia glabrescensVochysia tucanorum

Use of biodiversity modelling in environmental conservation - a case study

Species list based on the greater probability of species occurence

Use of biodiversity modelling in environmental conservation - a case study

Data completely available on SinBiota and SpeciesLinK projects (CRIA Fapesp)

Xylopia aromatica (Annonaceae) Environmental data: soil, geology, temperature, precipitation

Xylopia aromatica (Annonaceae)Multitemporal NDVI

(greenness)

Source: AVHRR satellite

Resolution: 1Km

1 month composition

Use of biodiversity modelling in environmental conservation - a case study

Blue: present points for Xylopia

Yellow: absence points for Xylopia

Source: EROS Data Center

Conclusions

And we need to develop and automate these methodologies to make broad application more feasible.

To do that properly we need more and better environmental data such as the remotely sensed data shown earlier.

Using these tools, a methodology is being developed to help identify key areas representing concentrations of native species, which can be used in planning for habitat restoration.

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THANK YOU!!