Biogeography of Wild Arachis
Assessing Conservation Status and Setting Future Priorities
Andy Jarvis*,a,c,
Morag E. Fergusonb,
David E. Williamsa,
Luigi Guarinoa,
Peter G. Jonesc,
H. Tom Stalkerd,
Jose F. M. Vallse,
Roy N. Pittmanf,
Charles E. Simpsong and
Paula Bramelb
a International Plant Genetic Resources Institute (IPGRI), AA 6713, Cali, Colombia
b International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Andhra Pradesh, India
c Centro Internacional de Agricultura Tropical (CIAT), AA6713, Cali, Colombia
d North Carolina State University, Raleigh, NC, USA
e EMBRAPA Genetic Resources and Biotechnology, Brasilia, Brazil, CNPq Fellowship
f USDA, Agricultural Research Service, Griffin, GA, USA
g Texas Agric. Exp. Station, Texas A&M Univ., Stephenville, TX, USA

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Fig. 1. Predicted distribution of species richness of Arachis spp. across South America based on climatic analysis and a 300-km buffer zone around known collections. Shading represents the potential number of species per 18- by 18-km grid cell.
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Fig. 2. Predicted distribution of Arachis spp. richness across South America with areas under agricultural land use excluded. Areas of 30% or greater agricultural land use are assumed not to harbor wild Arachis species.
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Fig. 3. Comparison of model results of species richness with the observed species richness derived from collection points. The numbers above the points represent the number of cells with those characteristics (total n = 908). The section marked "Model Under-Estimate" is the area where all points are falsely predicted positive occurrences. Points along the line and in the portion marked "Potential Under-Collection" could be any of correctly predicted positive occurrences, falsely predicted negative occurrences, or correctly predicted negative occurrences. It is assumed that, given the validity of the model, these areas represent already visited grid cells that potentially harbor more species than so far encountered.
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Fig. 4. Hotspots of predicted species richness for Arachis spp. and some of the conservation priorities in the region of Cuiabá and Campo Grande, Brazil, and in eastern Bolivia.
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Fig. 5. Results of the complementarity analysis for prioritizing in situ conservation efforts for wild peanut across South America. Each grid is 50 by 50 km in size. The first 10 priority grids are numbered in order of importance for in situ conservation.
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Fig. 6. Accumulation of species for each iterative addition of a 50-km grid square in the complementarity analysis. Just six of the grid cells include 50% of all 68 Arachis spp.
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Copyright © 2003 by the Crop Science Society of America.