Systematic Conservation Planning

by Chris Margules , Sahotra Sarkar

• ISBN13: 9780521878753
• ISBN10: 0521878756
• Edition: 1st
• Format: Hardcover
• Copyright: 2007-10-08
• Publisher: Cambridge University Press

Summary

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.

Author Biography

Sahotra Sarkar is a Professor in the Section of Integrative Biology at the University of Texas at Austin.

Table of Contents

Acknowledgments	p. viii
Introduction	p. 1
Conservation-area networks	p. 2
What do we mean by biodiversity?	p. 5
Systematic conservation planning	p. 8
Summary	p. 16
Biodiversity surrogates	p. 19
True and estimator surrogates	p. 20
Establishing the adequacy of an estimator-surrogate set	p. 22
Traditional species-based surrogates	p. 27
Systematic surrogate sets	p. 30
Surrogacy and spatial scale	p. 42
A protocol for the identification of an adequate surrogate set	p. 43
Diversity of ecological processes	p. 44
Summary	p. 45
Data collection	p. 47
Areas and features	p. 47
Sources of data	p. 51
Collecting new data with field surveys	p. 56
Summary	p. 76
Data treatments	p. 79
Conceptual framework	p. 79
Multi-variate pattern analysis	p. 83
Heuristic models	p. 90
Regression models	p. 93
Machine-learning methods	p. 100
Summary	p. 103
Conservation-area networks	p. 105
The role of conservation-area networks	p. 105
The goals of networks: representativeness, persistence and economy	p. 108
Selecting networks: complementarity	p. 112
Selecting networks: rarity and adjacency	p. 120
Subsidiary goals: flexibility, transparency, modularity, genericity and irreplaceability	p. 121
Algorithms for the selection of networks	p. 124
The trouble with scoring and ranking procedures	p. 127
Summary	p. 129
Persistence and vulnerability	p. 131
Incorporating biological processes	p. 132
Viability analysis	p. 135
Targets for representation	p. 151
Formal decision analysis	p. 162
Summary	p. 166
Satisfying multiple criteria	p. 169
Iterative- and terminal-stage procedures	p. 171
The valuation framework	p. 172
Non-dominated alternatives	p. 176
Refining non-dominated sets	p. 180
Sensitivity analysis	p. 188
Summary	p. 194
Systematic conservation plans	p. 197
Complementarity by inspection in the Nullarbor region, Australia	p. 197
Complementarity using species records in Quebec	p. 205
A marine conservation plan for the California Channel Islands, United States	p. 209
A conservation plan for the Cape Floristic Region of South Africa	p. 214
A conservation plan for Papua New Guinea	p. 219
Summary	p. 225
Conclusions	p. 227
Coping with uncertainty	p. 228
Practicing conservation science in a complex world	p. 231
Future directions	p. 233
Summary	p. 238
References	p. 239
Index	p. 265
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