Decision-Making in Conservation and Natural Resource Management

Models for Interdisciplinary Approaches

Nonfiction, Science & Nature, Nature, Environment, Ecology, Science
Cover of the book Decision-Making in Conservation and Natural Resource Management by , Cambridge University Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781108206358
Publisher: Cambridge University Press Publication: July 6, 2017
Imprint: Cambridge University Press Language: English
Author:
ISBN: 9781108206358
Publisher: Cambridge University Press
Publication: July 6, 2017
Imprint: Cambridge University Press
Language: English

Making decisions about the management and conservation of nature is necessarily complex, with many competing pressures on natural systems, opportunities and benefits for different groups of people and a varying, uncertain social and ecological environment. An approach which is narrowly focused on either human development or environmental protection cannot deliver sustainable solutions. This volume provides frameworks for improving the integration of natural resource management with conservation and supporting stronger collaboration between researchers and practitioners in developed and developing countries. Novel approaches are required when ecological and social dynamics are highly interdependent. A structured, participatory, model-based approach to decision-making for biodiversity conservation has been proven to produce real-world change. There are surprisingly few successful case studies, however; some of the best are presented here, from fisheries, pest management and conservation. Researchers and practitioners need this interdisciplinary approach, focused on quantitative tools that have been tested and applied, and learning from success.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Making decisions about the management and conservation of nature is necessarily complex, with many competing pressures on natural systems, opportunities and benefits for different groups of people and a varying, uncertain social and ecological environment. An approach which is narrowly focused on either human development or environmental protection cannot deliver sustainable solutions. This volume provides frameworks for improving the integration of natural resource management with conservation and supporting stronger collaboration between researchers and practitioners in developed and developing countries. Novel approaches are required when ecological and social dynamics are highly interdependent. A structured, participatory, model-based approach to decision-making for biodiversity conservation has been proven to produce real-world change. There are surprisingly few successful case studies, however; some of the best are presented here, from fisheries, pest management and conservation. Researchers and practitioners need this interdisciplinary approach, focused on quantitative tools that have been tested and applied, and learning from success.

More books from Cambridge University Press

Cover of the book Oil Wealth and the Poverty of Politics by
Cover of the book Strong-Coupling Theory of High-Temperature Superconductivity by
Cover of the book Morgenthau, Law and Realism by
Cover of the book Shakespeare Survey: Volume 64, Shakespeare as Cultural Catalyst by
Cover of the book Macroeconomic Paradigms and Economic Policy by
Cover of the book Hydrodynamic Control of Wave Energy Devices by
Cover of the book Leftist Governments in Latin America by
Cover of the book Lengthening the Arm of the Law by
Cover of the book Spinoza's Geometry of Power by
Cover of the book Livy's Political Philosophy by
Cover of the book Organic Electro-Optics and Photonics by
Cover of the book The Anaesthesia Science Viva Book by
Cover of the book Companies, International Trade and Human Rights by
Cover of the book The Boreal Owl by
Cover of the book Mozart's Music of Friends by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy