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Spatial Conservation Prioritization: Quantitative Methods and Computational Tools Review

Spatial Conservation Prioritization: Quantitative Methods and Computational Tools
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Spatial Conservation Prioritization: Quantitative Methods and Computational Tools ReviewThis book provides a well-written and accessible introduction to new methods for quantitative conservation planning that have been developed over the past decade. Beyond an audience of planners who actually apply these methods, it is also suitable for conservation biologists who are looking for a general introduction to the concepts underlying this field. It would serve as a good textbook for a seminar in quantitative conservation planning, as the chapters generally combines a high level of detail with a style accessible to graduate and advanced undergraduate students.Spatial Conservation Prioritization: Quantitative Methods and Computational Tools OverviewHabitat loss and deterioration, climate change, and economic pressures for resource extraction have all led to a global loss of biodiversity. The limited resources available for conservation need to be used both effectively and efficiently in order to minimise further losses. Spatial conservation prioritization addresses the question of how we should allocate conservation effort and funds in space and time. While the benefits of quantitative conservation prioritization methods have been widely promoted, adoption of these methods in "real-world" planning and implementation is still in its infancy, partly due to the difficulty of identifying which methods and tools (if any) are suited to specific planning problems. Spatial Conservation Prioritization brings together a team of leading scientists to introduce the conceptual and methodological aspects of how to undertake spatial conservation planning in a quantitative manner. It provides the reader with information on when, why, and how to use which statistical and computational methods for conservation prioritization. Important topics underlying spatial prioritization including metapopulation modelling, population viability analysis modelling, species distribution modelling, and uncertainty analysis are discussed, as well as operational definitions and methods. The book includes chapters on the most widely used and latest software, and concludes with an insight into the future of the field.

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