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Improving Natural Resource Management: Ecological and Political Models
John Wiley and Sons Ltd, March 2011, Pages: 272
Improving Natural Resource Management: Ecological and Political Models demonstrates how to find the most politically acceptable but effective plan for managing an at-risk ecosystem. Finding an effective plan can be accomplished by fitting political and ecological models to a data set composed of observations on both political actions that impact an ecosystem and variables that describe the ecological processes that are occurring within that ecosystem.
The parameters of these fitted models are perturbed just enough to produce desired ecosystem state endpoints, generating the ecosystem management plan needed to reach the desired ecosystem endpoints. To construct such a set of interacting models, topics from political science, ecology, probability, and statistics are developed and explored.
The decision to implement environmental protection options is a political one. These, and other political and social decisions affect the balance of the ecosystem and how the point of equilibrium desired is to be reached. This book develops a stochastic, temporal model of how political processes influence and are influenced by ecosystem processes and looks at how to find the most politically feasible plan for managing an at-risk ecosystem.
Key features:
- Explores politically feasible ways to manage at-risk ecosystems.
- Gives agent-based models of how social groups affect ecosystems through time.
- Demonstrates how to fit models of population dynamics to mixtures of wildlife data.
- Presents statistical methods for fitting models of group behaviour to political action data.
- Supported by an accompanying website featuring datasets and JAVA code.
This book will be useful to managers and analysts working in organizations charged with finding practical ways to sustain biodiversity or the physical environment. Furthermore this book also provides a political roadmap to help lawmakers and administrators improve institutional environmental management decision making.
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