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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.
THANK YOU!!