1. General Model Information

Name: FloraMap system for producing the predicted distribution for natural organisms

Acronym: FLORAMAP


Main medium: terrestrial
Main subject: spatial distribution , other, meteorology, agriculture
Organization level: Population, Organism
Type of model: PCA and Cluster Analysis, Markov process
Main application: simulation/optimisation tool, research
Keywords: spatial distribution, biodiversity, predicted distribution, climate, temperature, rain,markov, pca, cluster

Contact:

Jones Peter
Recta Cali-Palmira, km 17
A.A. 6713, Cali Colombia
Phone: 445 00 00
Fax: 45 00 73
email: pjones@cgiar.org
Homepage: http://www.floramap-ciat.org/

Author(s):

Peter G . Jones , Alexander Gladkov

Abstract:

FloraMap is a system for producing the predicted distribution, or the areas of possible adaptation, for natural organisms when little or nothing is known of the detailed physiology of the organism. It is assumed that the climate at the point of collection of a set of individuals is representative of the environmental range of the organism. In the case of plants, these are usually germplasm collection accessions or herbarium specimens. The climate at these collection points is used as a calibration set to compute a climate probability model. The method uses a Fourier transform to standardize climatic timing and a principal components analysis (PCA) to produce a probability distribution in multiple dimensions. The principal component scores are used to map the probability surface from a set of interpolated climate surfaces. The system has been used to guide plant collecting, to investigate taxonomic and genetic variation, and to map crop pests and their potential predators. International Center for Tropical Agriculture 1999


II. Technical Information

II.1 Executables:

Operating System(s): Windows

II.2 Source-code:

Programming Language(s): C++

II.3 Manuals:

Floramap manual
User's Manual

II.4 Data:

With CD ROM software

III. Mathematical Information


III.1 Mathematics

Theory

III.2 Quantities


III.2.1 Input

III.2.2 Output


IV. References

Jones, P.G. 1991. The CIAT Climate Database Version 3.41. Machine readable dataset.
Centro Internacional de Agricultura Tropical (CIAT), Cali, CO.

Jones, P.G. 1996. Climate Database for Haiti. Machine readable dataset.
Centro Internacional de Agricultura Tropical (CIAT), Cali, CO.

Jones, P.G.; Thornton, P.K. 1993. A rainfall generator for agricultural applications in the tropics.
Agric. For. Meteor. 63:1-19.

Jones, P.G.; Thornton, P.K. 1997. Spatial and temporal variability of rainfall related to a third order Markov model.
Agric. Forest Meteor. 86:127-138.

Jones, P.G.; Rebgetz, R.; Maas, B.L.; Kerridge, P.C. 1996. Genetic diversity in Stylosanthes species: A GIS mapping approach.
Trabajo y afiche presentado en el First International Symposium on Tropical Savannas, 24-29 Mar, Brasilia, Brasil. 14 p. Copias disponibles de CIAT, Cali, CO.

Jones, P.G.; Galwey, N.; Beebe, S.E.; Tohme, J. 1997. The use of geographical information systems in biodiversity exploration and conservation.
Biodivers. Conserv. 6:947-958.



V. Further information in the World-Wide-Web


VI. Additional remarks


Last review of this document by: : Mon Apr 26 17:36:01 2004
Status of the document: Contributed by William Diaz s
last modified by Joachim Benz Wed May 12 10:51:01 CEST 2004

Go back to Register of Ecological Models (R E M)