HSMs/SDMs are applied across various ecological challenges to inform management:
: Includes extensive R code examples and case studies, making it highly accessible for students and practitioners. Key Applications and Case Studies
: Guides readers through conceptualization, data acquisition (sampling design, spatial scales), model calibration, evaluation of errors/uncertainty, and final spatial-temporal predictions.
Published in 2017, the book provides a comprehensive framework for building and evaluating niche-based models—essential tools in conservation biology for predicting how species and biodiversity patterns respond to environmental change. Core Conceptual Framework
The text bridges the gap between ecological niche theory and practical modeling applications. It defines a structured process for developing and Species Distribution Models (SDMs) :
: Relates environmental variables (climate, topography, vegetation) to a species' likelihood of occurrence or fitness.
is a seminal textbook and methodological guide authored by Antoine Guisan, Wilfried Thuiller, and Niklaus E. Zimmermann.
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HSMs/SDMs are applied across various ecological challenges to inform management:
: Includes extensive R code examples and case studies, making it highly accessible for students and practitioners. Key Applications and Case Studies Habitat Suitability and Distribution Models: Wi...
: Guides readers through conceptualization, data acquisition (sampling design, spatial scales), model calibration, evaluation of errors/uncertainty, and final spatial-temporal predictions. Core Conceptual Framework The text bridges the gap
Published in 2017, the book provides a comprehensive framework for building and evaluating niche-based models—essential tools in conservation biology for predicting how species and biodiversity patterns respond to environmental change. Core Conceptual Framework Zimmermann
The text bridges the gap between ecological niche theory and practical modeling applications. It defines a structured process for developing and Species Distribution Models (SDMs) :
: Relates environmental variables (climate, topography, vegetation) to a species' likelihood of occurrence or fitness.
is a seminal textbook and methodological guide authored by Antoine Guisan, Wilfried Thuiller, and Niklaus E. Zimmermann.