GIS software to explore and conserve genetic resources
DIVA-GIS
DIVA is a geographic information system
that allows mapping and spatial analysis of genetic resources data. It was
developed specifically for use with genebank data such as that available through national or
international genebank documentation systems. DIVA allows you to make maps
of sites where species have been observed or collected and of the pattern of distribution of biological diversity.
DIVA can also be used to identify
areas with complementary levels of diversity
and extract
climate data for accession points. Version 2, developed by CIP and IPGRI with support
from SGRP,
BMZ and USDA, is
available free of charge at http://www.cipotato.org/diva/.
Additional
information on DIVA (PDF - 111 Kb)
FloraMap
Recent international agreements provide a
framework for safeguarding biodiversity, but researchers need reliable tools to
determine where to find species to be conserved. FloraMap,
the product of more than 20 years of research at CIAT, is a user-friendly software that allows
biodiversity specialists to map the likely distribution of species in nature,
plan programmes to collect them and decide where to set up in situ conservation
programs. FloraMap can also be used to study the taxonomic and genetic variation
of particular species, and to map the distribution of crop pests and their
natural enemies. Further details and copies of the software are
available at http://www.ciat.cgiar.org/floramap/.
Additional information on
FloraMap (PDF - 487 Kb)
Poster
on FloraMap (PDF - 1781 Kb)
SID
(Spatial Intra-Specific Diversity)
SID is an internet based geographic information system that examines the spatial characteristics of diversity.
SID uses point data to
calculate the surrounding diversity from near-by accession points. For each
accession, a user-defined spherical window is drawn around the point and all
other accessions lying within this area are used in the subsequent calculation. The result is a measure of
the diversity surrounding each
accession in the database. The program requires simple latitude
and longitude data for each accession point, and an associated value to represent the variable for diversity analysis. The
variable must be categorical (qualitative). For example, if you are
interested in measuring the diversity of wild bean species, every species would be given a
number and the input file for SID would have
4 columns—an ID number, latitude, longitude and the species number.
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