Use of biodiversity modelling in
environmental conservation - a
case study
Marinez Ferreira de Siqueira
Giselda Durigan
Mauro Muñoz
Fabrício Pavarin
A. 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
Modelling biodiversity for São Paulo State
Aspidosperma cylindrocarpon Müll. Arg. (Apocynaceae)
Climate
CIAT (Jones, 1991 in
IPCC
- Version 1.1 Global
Worldclim
http://www.floramapSoil
Intergovernmental
Climate
Surfaces (obtained
ciat.org/ing/climatePanel
on
ClimateHijmans)
courtesy
Robert
grid.htm)
IAC
–of
1:500.000
Change
(1961-1990)
Resolution:
0,0083333o.
(a
Resolution:
0,17º (10’).
http://www.ipcc.ch
square
kilometer grid)
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)
source: Dr Ingrid Koch
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)
Soil Map - Brazil
Scale:
Brazil: 1: 5.000.000 –
source: LBA
IBGE 1981
Soil Map of Brazil, São Paulo State and Watershed of Médio
Paranapanema
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
Use of biodiversity modelling in environmental conservation - a case study
Xylopia aromatica (Annonaceae)
Environmental data: soil, geology,
temperature, precipitation
Blue: present points
for Xylopia
Green: probable
absence points for
Xylopia
Red: absence points
for Xylopia
Data completely available on SinBiota and SpeciesLinK projects (CRIA Fapesp)
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
Areas with great
risk of erosion
Intersection between
areas with great risk
of erosion and
greater probability of
species occurence
Use of biodiversity modelling in environmental conservation - a case study
Species list based on the greater probability of species
occurence
Casearia sylvestris
Copaifera langsdorffii
Croton floribundus
Gochnatia polymorpha
Luehea grandiflora
Machaerium acutifolium
Machaerium brasiliense
Matayba elaeagnoides
Ocotea corymbosa
Pera obovata
Platypodium elegans
Siparuna guianensis
Stryphnodendron obovatum
Syagrus romanzoffiana
Tabebuia ochracea
Tabernamontana hystrix
Tapirira guianensis
Terminalia glabrescens
Vochysia tucanorum
Use of biodiversity modelling in environmental conservation - a case study
Xylopia aromatica (Annonaceae)
Environmental data: soil, geology,
temperature, precipitation
Data completely available on SinBiota and SpeciesLinK projects (CRIA Fapesp)
Use of biodiversity modelling in environmental conservation - a case study
Xylopia aromatica (Annonaceae)
Multitemporal NDVI
(greenness)
Source: AVHRR satellite
Resolution: 1Km
1 month composition
Blue: present
points for Xylopia
Yellow: absence
points for Xylopia
Source: EROS Data Center
Conclusions
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.
To do that properly we need more and better environmental data
such as the remotely sensed data shown earlier.
And we need to develop and automate these methodologies to make
broad application more feasible.
THANK YOU!!
[email protected]