Overview
- Highlights how fundamental ecological theories are being explicitly integrated into the model building processes
- offers practical examples of how modelers are addressing the conflict between the complexity of ecological systems and the relative simplicity of their modeled systems
- Presents novel prediction methods to identify and quantify sources of uncertainty and variability in species habitat associations in time and space
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Table of contents (15 chapters)
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Front Matter
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Current State of Knowledge
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Front Matter
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Integration of Ecological Theory into Modeling Practice
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Front Matter
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Simplicity, Complexity, and Uncertainty in Applied Models
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Front Matter
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Designing Models for Increased Utility
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Front Matter
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Keywords
About this book
Most projects in Landscape Ecology, at some point, define a species-habitat association. These models are inherently spatial, dealing with landscapes and their configurations. Whether coding behavioral rules for dispersal of simulated organisms through simulated landscapes, or designing the sampling extent of field surveys and experiments in real landscapes, landscape ecologists must make assumptions about how organisms experience and utilize the landscape. These convenient working postulates allow modelers to project the model in time and space, yet rarely are they explicitly considered. The early years of landscape ecology necessarily focused on the evolution of effective data sources, metrics, and statistical approaches that could truly capture the spatial and temporal patterns and processes of interest. Now that these tools are well established, we reflect on the ecological theories that underpin the assumptions commonly made during species distribution modeling and mapping. This is crucial for applying models to questions of global sustainability.
Due to the inherent use of GIS for much of this kind of research, and as several authors’ research involves the production of multicolored map figures, there would be an 8-page color insert. Additional color figures could be made available through a digital archive, or by cost contributions of the chapter authors. Where applicable, would be relevant chapters’ GIS data and model code available through a digital archive. The practice of data and code sharing is becoming standard in GIS studies, is an inherent method of this book, and will serve to add additional research value to the book for both academic and practitioner audiences.
Editors and Affiliations
Bibliographic Information
Book Title: Predictive Species and Habitat Modeling in Landscape Ecology
Book Subtitle: Concepts and Applications
Editors: C. Ashton Drew, Yolanda F. Wiersma, Falk Huettmann
DOI: https://doi.org/10.1007/978-1-4419-7390-0
Publisher: Springer New York, NY
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Science+Business Media, LLC 2011
Hardcover ISBN: 978-1-4419-7389-4
Softcover ISBN: 978-1-4899-8135-6
eBook ISBN: 978-1-4419-7390-0
Edition Number: 1
Number of Pages: XIV, 313
Topics: Landscape Ecology, Theoretical Ecology/Statistics, Fish & Wildlife Biology & Management, Conservation Biology/Ecology, Nature Conservation, Community & Population Ecology