NCEAS Project 2135

Designing and assessing the viability of nature reserve systems at regional scales: Integration of optimization, heuristic and dynamic models - Year 2

  • Sandy J. Andelman

ActivityDatesFurther Information
Working Group6th—7th October 1998Participant List  
Working Group8th—9th October 1998Participant List  
Working Group12th—18th October 1998Participant List  
Working Group13th—20th December 1998Participant List  
Working Group29th—30th April 1999Participant List  

With this proposal we seek a second year of support (beginning in July, 1998) to continue and expand the activities of our NCEAS working group (for a description of the project and summary of results see Our research aims to enhance the theoretical framework for biodiversity conservation planning, and to develop a novel computer-based approach to the design of nature reserve networks that integrates traditional optimization and heuristic models for reserve siting (based on a representation paradigm that emphasizes spatial patterns of species distribution) (e.g., Kirkpatrick 1983; Margules et. al. 1988; Vane-Wrightet. al. 1991; Church et. al. 1996; Davis et. al. 1996; Pressey et. al. 1996) , with dynamic modeling approaches that emphasize population persistence in both space and time (e.g., Lande and Orzack 1988; Tuljapurkar 1989; Dennis et. al. 1991; Fleming et. al.1994; Lindenmayer et. al. 1995; Possingham & Davies 1995; Pulliam & Dunning 1995).Our pilot study during year one has involved the organization and synthesis of several large biodiversity and land use data sets for the Columbia Plateau ecoregion. Our original NCEAS proposal requested funds for an initial period of twelve months, with possibility of a second year of support to extend and expand our analyses and syntheses, contingent on the success and promise of our accomplishments during the first year. This proposal summarizes progress to date, and outlines the research we propose for a second year of NCEAS support (July, 1998 ¿ June, 1999).

TypeProducts of NCEAS Research
Journal Article Andelman, Sandy J.; Fagan, William F. 2000. Umbrellas and flagships: Efficient conservation surrogates or expensive mistakes?. Proceedings of the National Academy of Sciences. Vol: 97. Pages 5954-5959.
Journal Article Davis, Frank W.; Stoms, David M.; Andelman, Sandy J. 1999. Systematic reserve selection in the USA: An example from the Columbia Plateau Ecoregion. Parks. Vol: 19. Pages 31-41.
Presentations Fagan, William F. 1998. Variation thresholds for extinction and their implications for conservation strategies. Ecological Society of America. Baltimore, MD.
Presentations Fagan, William F. 1999. Umbrella species: Efficient conservation surrogates, or leaky, expensive mistakes?. Society for Conservation Biology. College Park, MD.
Journal Article Fagan, William F.; Meir, Eli; Moore, Joslin L. 1999. Variation thresholds for extinction and their implications for conservation strategies. American Naturalist. Vol: 154(5). Pages 510-520.
Presentations Fagan, William F. 1999. Will observation error and biases ruin the use of simple extinction models?. Ecological Society of America. Spokane, WA.
Presentations Meir, Eli. 1999. The quantity and quality of data needed for effective design of systems of reserves. Ecological Society of America Annual Meeting. Spokane, WA.
Journal Article Meir, Eli; Fagan, William F. 2000. Will observation error and biases ruin the use of simple extinction models?. Conservation Biology. Vol: 14. Pages 148-154.
Journal Article Meir, Eli; Andelman, Sandy J.; Possingham, Hugh P. 2004. Does conservation planning matter in a dynamic and uncertain world?. Ecology Letters. Vol: 7(8). Pages 615-622. (Online version)
Book Chapter Possingham, Hugh P.; Ball, Ian; Andelman, Sandy J. 2000. Mathematical methods for identifying representative reserve networks. Edited by Ferson, Scott and Burgman, Mark. Quantitative methods for conservation biology. Springer-Verlag. New York. Pages 291-306.
Journal Article Pyke, Chris; Andelman, Sandy J.; Midgley, Guy F. 2005. Identifying priority areas for bioclimatic representation under climate change: A case study for Proteaceae in the Cape Floristic Region, South Africa. Biological Conservation. Vol: 125(1). Pages 1-9.