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Maps of species' distributions or habitat suitability are required for many aspects of environmental research, resource management and conservation planning. These include biodiversity assessment, reserve design, habitat management and restoration, species and habitat conservation plans and predicting the effects of environmental change on species and ecosystems. The proliferation of methods and uncertainty regarding their effectiveness can be daunting to researchers, resource managers and conservation planners alike. Franklin summarises the methods used in species distribution modeling (also called niche modeling) and presents a framework for spatial prediction of species distributions based on the attributes (space, time, scale) of the data and questions being asked. The framework links theoretical ecological models of species distributions to spatial data on species and environment, and statistical models used for spatial prediction. Providing practical guidelines to students, researchers and practitioners in a broad range of environmental sciences including ecology, geography, conservation biology, and natural resources management.Read more
- Comprehensively addresses all aspects of species' distribution modelling creating a concise source of tools for use academically and in the field
- Includes an extensive review of published literature, providing a sound basis for a new approach to future modelling
- Suitable for undergraduate and graduate students new to species' distribution modelling and to assist more-experienced researchers and resource and conservation managers
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- Date Published: February 2010
- format: Paperback
- isbn: 9780521700023
- length: 336 pages
- dimensions: 230 x 156 x 17 mm
- weight: 0.54kg
- contains: 37 b/w illus. 20 tables
- availability: In stock
Table of Contents
Part I. History and Ecological Basis of Species' Distribution Modeling:
1. Species distribution modeling
2. Why do we need species' distribution models?
3. Ecological understanding of species' distributions
Part II. The Data Needed for Modeling Species' Distributions
4. Data for species' distribution models: the biological data
5. Data for species' distribution models: the environmental data
Part III. An Overview of the Modeling Methods:
6. Statistical models – modern regression
7. Machine learning methods
8. Classification, similarity and other methods for presence-only data
Part IV. Model Evaluation and Implementation:
9. Model evaluation
10. Implementation of species' distribution models.
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