RAMAS/Stage. Generalized stage-based modeling for population dynamics
Article Abstract:
RAMAS/stage is intended to aid in the construction and anlysis of discrete time matrix population models structured by stages. The inputs required to use RAMAS/stage are defined stages and transition rates among stages. The program also requires an IBM PC with DOS 2. 0 or higher, 480 K memory and a math coprocessor. The output displays the stable population attributes of transition matrices, including the dominant eigenvalue, stable stage distributions, reproductive value by stage and sensitivity measures. Stochasticity and density dependence could also be added to the transition elements.
Publication Name: Quarterly Review of Biology
Subject: Biological sciences
ISSN: 0033-5770
Year: 1992
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RAMAS/GIS
Article Abstract:
The RAMAS/GIS software is a new and improved tool in population viability analysis. With its ability to interface population structure with maps from a geographic information system, computer simulation of conservation models can be projected on a spatial basis. The software retails at $995 for academic/single user, $1895 for governmental and nonprofit organizations and $2495 for other buyers. Current limitations include the inability to project genetic concerns and the low resolution of available maps.
Publication Name: Quarterly Review of Biology
Subject: Biological sciences
ISSN: 0033-5770
Year: 1996
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RAMAS/Metapop: Viability Analysis for Stage-Structured Metapopulations
Article Abstract:
RAMAS/Metapop is a software package for use by conservation biologists and wildlife managers in calculating species extinction risk, designing wildlife reserves and studying the effects of changes in habitat size and distribution. The user manual provides a good explanation of its uses and has enough references to help the user in simulating models with correct parameters. The package incorporates models that are used in teaching the software and studying different types of metapopulation models.
Publication Name: Quarterly Review of Biology
Subject: Biological sciences
ISSN: 0033-5770
Year: 1995
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