1. General Model Information

Name: Species, Area, Environment Model

Acronym: SAEM


Main medium: terrestrial
Main subject: biogeochemistry
Organization level: landscape
Type of model: static-algebraic equations
Main application: research, simulation/optimisation tool
Keywords: forest, species, environmental components, biodiversity, spatially explicit, regression model

Contact:

Author(s):

Abstract:

SAEM (Species, Area, Environment Model) is a step-wise regression model which predicts species or taxa for a specified area given the environmental characteristics. It can index biodiversity based on regional area using multiple regression to examine certain environmental components that effect species diversity or species complexes.

Model inputs include mean and annual precipitation, insulation, DEM, human population density, and total number of species (derived from species lists), standard surveys are used to obtain much of this information. Output data include the number of species expected in an area, and the location of species areas. SAEM can be used in conjunction with any statistical package.

Source of the abstract:
CIESIN / USDA report


II. Technical Information

II.1 Executables:

Operating System(s):

II.2 Source-code:

Programming Language(s):

II.3 Manuals:



II.4 Data:



III. Mathematical Information


III.1 Mathematics


III.2 Quantities


III.2.1 Input

III.2.2 Output


IV. References



V. Further information in the World-Wide-Web



VI. Additional remarks

This model has potential in investigating the impacts of global change on biodiversity.
Last review of this document by: Juergen Bierwirth Wed Feb 03 15:49:30 CET 1999
Status of the document:
last modified by Tobias Gabele Wed Aug 21 21:44:49 CEST 2002

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