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Predictive Species and Habitat Modeling in Landscape Ecology

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Cover of 'Predictive Species and Habitat Modeling in Landscape Ecology'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction. Landscape Modeling of Species and Their Habitats: History, Uncertainty, and Complexity
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    Chapter 2 Integrating Theory and Predictive Modeling for Conservation Research
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    Chapter 3 The State of Spatial and Spatio-Temporal Statistical Modeling
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    Chapter 4 Proper Data Management as a Scientific Foundation for Reliable Species Distribution Modeling
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    Chapter 5 The Role of Assumptions in Predictions of Habitat Availability and Quality
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    Chapter 6 Insights from Ecological Theory on Temporal Dynamics and Species Distribution Modeling
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    Chapter 7 Predictive Species and Habitat Modeling in Landscape Ecology
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    Chapter 8 Modeling Species Distribution and Change Using Random Forest
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    Chapter 9 Genetic Patterns as a Function of Landscape Process: Applications of Neutral Genetic Markers for Predictive Modeling in Landscape Ecology
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    Chapter 10 Simplicity, Model Fit, Complexity and Uncertainty in Spatial Prediction Models Applied Over Time: We Are Quite Sure, Aren’t We?
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    Chapter 11 Variation, Use, and Misuse of Statistical Models: A Review of the Effects on the Interpretation of Research Results
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    Chapter 12 Expert Knowledge as a Basis for Landscape Ecological Predictive Models
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    Chapter 13 Choices and Strategies for Using a Resource Inventory Database to Support Local Wildlife Habitat Monitoring
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    Chapter 14 Using Species Distribution Models for Conservation Planning and Ecological Forecasting
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    Chapter 15 Conclusion: An Attempt to Describe the State of Habitat and Species Modeling Today
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Title
Predictive Species and Habitat Modeling in Landscape Ecology
Published by
Springer New York, November 2010
DOI 10.1007/978-1-4419-7390-0
ISBNs
978-1-4419-7389-4, 978-1-4419-7390-0
Editors

Drew, C. Ashton, Wiersma, Yolanda F., Huettmann, Falk

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 526 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 1%
Spain 4 <1%
Germany 3 <1%
Colombia 2 <1%
Brazil 2 <1%
Canada 2 <1%
Greece 2 <1%
Mexico 1 <1%
Argentina 1 <1%
Other 6 1%
Unknown 496 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 113 21%
Student > Ph. D. Student 107 20%
Student > Master 100 19%
Student > Bachelor 32 6%
Student > Doctoral Student 30 6%
Other 71 13%
Unknown 73 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 197 37%
Environmental Science 140 27%
Earth and Planetary Sciences 29 6%
Engineering 13 2%
Biochemistry, Genetics and Molecular Biology 10 2%
Other 41 8%
Unknown 96 18%