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Presents the state-of-the-art of model-based integration of ecology and economics in the field of biodiversity conservation.
Sommario
Part I. Modelling: 1. What is a model?; 2. Purposes of modelling; 3. Typical model features; Part II. Ecological Modelling: 4. Homogenous deterministic population models; 5. Homogenous stochastic population models; 6. Spatial population models; 7. Models with individual variability; 8. Models of biodiversity; Part III. Economic Modelling: 9. Instruments for biodiversity conservation; 10. Game theory; 11. Incentive design; 12. Modelling human decisions; 13. The agglomeration bonus; Part IV. Ecological-Economic Modelling: 14. Foundations of ecological-economic modelling; 15. Benefits and challenges of ecological-economic modelling; 16. Integration of ecological and economic models; 17. Examples of ecological-economic modelling; 18. Outlook.
Info autore
Martin Drechsler is a Senior Scientist at the Helmholtz Centre for Environmental Research – UFZ , Germany. His research includes the mathematical modelling of populations in fragmented and dynamic landscapes, the mathematical ecological-economic analysis of instruments and strategies for biodiversity conservation, the model-based assessment of renewable energy deployment, and mathematical optimization and decision theory. He originally trained as a physicist, which provided him with the necessary mathematical background to understand, develop and analyse mathematical models. Twenty years ago, he started collaborating with economists to contribute to the development of the research field of ecological-economic modelling. In the field of ecological-economic modelling he is one of the most productive authors.
Riassunto
Essential reading for researchers and graduate students from the fields of ecology, economics or mathematical modeling who are interested in biodiversity conservation and wish to learn about the respective other discipline(s) to build integrated ecological-economic models. This book takes an intermediate level between concepts and mathematics.
