Predictive Species and Habitat Modeling in Landscape Ecology Concepts and Applications /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Drew, C. Ashton (Επιμελητής έκδοσης), Wiersma, Yolanda F. (Επιμελητής έκδοσης), Huettmann, Falk (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York, 2011.
• Θέματα: Life sciences.; Landscape ecology.; Community ecology, Biotic.; Ecology.; Conservation biology.; Wildlife.; Fish.; Nature conservation.; Life Sciences.; Landscape Ecology.; Theoretical Ecology/Statistics.; Fish & Wildlife Biology & Management.; Conservation Biology/Ecology.; Nature Conservation.; Community & Population Ecology.

Much research in landscape ecology makes use of spatial models to define species-habitat associations. 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 a...

Πίνακας περιεχομένων:

• Acknoweldgements
• Forword by Jack Liu
• List of Contributors
• List of abbreviations
• Introduction
• Chapter 1. Landscape modeling of species and their habitats: history, uncertainty, and complexity (by Yolanda Wiersma, Ashton Drew, Falk Huettmann)
• Section 1. Current State of Knowledge
• Chapter 2. Integrating Theory and Predictive Modeling for Conservation Research (by Jeremy T. Kerr, Manisha Kulkarni, and Adam Algar)
• Chapter 3. The State of Spatial and Spatio-Temporal Statistical Modeling (by Mevin B. Hooten)
• Section 2. Integration of Ecological Theory into Modeling Practice
• Chapter 4. Proper Data Management as a Scientific Foundation for Reliable Species Distribution Modeling (by Benjamin Zuckerberg, Falk Huettmann, and Jacqueline Frair)
• Chapter 5. The Role of Assumptions in Predictions of Habitat Availability and Quality (by Edward J. Laurent, C. Ashton Drew, Wayne E. Thogmartin)
• Chapter 6. Insights from Ecological Theory on Temporal Dynamics and Species Distribution Modeling (by Robert J. Fletcher, Jr., Jock S. Young, Richard L. Hutto, Anna Noson, and Christopher T. Rota)
• Section 3. Simplicity, Complexity, and Uncertainty in Applied Models
• Chapter 7. Focused Assessment of Scale-Dependent Vegetation Pattern (by Todd R. Lookingbill, Monique E. Rocca, and Dean L. Urban)
• Chapter 8. Modeling Species Distribution and Change Using Random Forest (by Jeffrey S. Evans, Melanie A. Murphy, Zachary A. Holden, and Samuel A. Cushman)
• Chapter 9. Genetic Patterns as a Function of Landscape Process: Applications of Neutral Genetic Markers for Predictive Modeling in Landscape Ecology (by Melanie A. Murphy and Jeffrey S. Evans)
• Chapter 10. Simplicity, Model Fit, Complexity and Uncertainty in Spatial Prediction Models Applied Over Time: We Are Quite Sure, Aren’t We? (by Falk Huettmann and Thomas Gottschalk)
• Chapter 11. Variation, Use, and Mis-use of Statistical Models: a Review of the Effects on the Interpretation of Research Results (by Yolanda F. Wiersma)
• Chapter 12. Expert Knowledge as a Basis for Landscape Ecological Predictive Models (by C. Ashton Drewand Ajith H. Perera)
• Section 4. Designing Models for Increased Utility
• Chapter 13. Choices and Strategies for Using a Resource Inventory Database to Support Local Wildlife Habitat Monitoring (by L. Jay Roberts, Brian A. Maurer, Michael Donovan)
• Chapter 14. Using Species Distribution Models for Conservation Planning and Ecological Forecasting (by Josh J. Lawler, Yolanda F. Wiersma and Falk Huettmann)
• Conclusion
• Chapter 15. The state of habitat and species modeling today (by Ashton Drew, Yolanda Wiersma, Falk Huettmann).