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Systematic Conservation Planning

ISBN-10: 0521878756

ISBN-13: 9780521878753

Edition: 2007

Authors: Sahotra Sarkar, Christopher R. Margules

List price: $189.99
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Description:

Systematic Conservation Planning provides a clear, comprehensive guide to the process of deriving a conservation area network for regions, which will best represent the biodiversity of regions in the most cost-effective way. The measurement of biodiversity, design of field sampling strategies, alongside different data treatment methods are detailed helping to provide a conceptual framework for identifying conservation area networks, underpinned by the concept of complementarity. Setting conservation targets and then multi-criteria analyses, using complementarity but bringing in other criteria reflecting competing uses of land or water, to show how conservation area networks can achieve conservation targets in ways that also allow for the production of food, fiber and shelter are also discussed. Providing a clear procedure for identifying conservation priority areas underpinned by cutting edge science, this book will be of interest to graduate students, academics, planners and decision makers dealing with natural resource use and exploitation, alongside conservation NGOs.
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Book details

List price: $189.99
Copyright year: 2007
Publisher: Cambridge University Press
Publication date: 9/13/2007
Binding: Hardcover
Pages: 278
Size: 6.00" wide x 9.00" long x 0.75" tall
Weight: 1.298
Language: English

Acknowledgments
Introduction
Conservation-area networks
What do we mean by biodiversity?
Systematic conservation planning
Summary
Biodiversity surrogates
True and estimator surrogates
Establishing the adequacy of an estimator-surrogate set
Traditional species-based surrogates
Systematic surrogate sets
Surrogacy and spatial scale
A protocol for the identification of an adequate surrogate set
Diversity of ecological processes
Summary
Data collection
Areas and features
Sources of data
Collecting new data with field surveys
Summary
Data treatments
Conceptual framework
Multi-variate pattern analysis
Heuristic models
Regression models
Machine-learning methods
Summary
Conservation-area networks
The role of conservation-area networks
The goals of networks: representativeness, persistence and economy
Selecting networks: complementarity
Selecting networks: rarity and adjacency
Subsidiary goals: flexibility, transparency, modularity, genericity and irreplaceability
Algorithms for the selection of networks
The trouble with scoring and ranking procedures
Summary
Persistence and vulnerability
Incorporating biological processes
Viability analysis
Targets for representation
Formal decision analysis
Summary
Satisfying multiple criteria
Iterative- and terminal-stage procedures
The valuation framework
Non-dominated alternatives
Refining non-dominated sets
Sensitivity analysis
Summary
Systematic conservation plans
Complementarity by inspection in the Nullarbor region, Australia
Complementarity using species records in Quebec
A marine conservation plan for the California Channel Islands, United States
A conservation plan for the Cape Floristic Region of South Africa
A conservation plan for Papua New Guinea
Summary
Conclusions
Coping with uncertainty
Practicing conservation science in a complex world
Future directions
Summary
References
Index