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Spatial Complexity, Informatics, and Wildlife Conservation

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Cover of 'Spatial Complexity, Informatics, and Wildlife Conservation'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: Ecological Knowledge, Theory and Information in Space and Time
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    Chapter 2 Space and Time in Ecology: Noise or Fundamental Driver?
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    Chapter 3 The Problem of Ecological Scaling in Spatially Complex, Nonequilibrium Ecological Systems
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    Chapter 4 Landscape Ecology: Past, Present, and Future
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    Chapter 5 The Gradient Paradigm: A Conceptual and Analytical Framework for Landscape Ecology
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    Chapter 6 Data on Distribution and Abundance: Monitoring for Research and Management
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    Chapter 7 Animal Movement Data: GPS Telemetry, Autocorrelation and the Need for Path-Level Analysis
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    Chapter 8 Using a Random Forest Model and Public Data to Predict the Distribution of Prey for Marine Wildlife Management
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    Chapter 9 Landscape Genomics: A Brief Perspective
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    Chapter 10 Spatial Information Management in Wildlife Ecology: Adding Spatially Explicit Behaviour Data to the Equation?
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    Chapter 11 Critical Remote Sensing Contributions to Spatial Wildlife Ecological Knowledge and Management
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    Chapter 12 Spatial Data Management Through Metadata: Global Concepts, Formats, Tools and Requirements
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    Chapter 13 Free Database Availability, Metadata and the Internet: An Example of Two High Latitude Components of the Census of Marine Life
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    Chapter 14 Components of Spatial Information Management in Wildlife Ecology: Software for Statistical and Modeling Analysis
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    Chapter 15 Spatial Analysis of Wildlife Distribution and Disease Spread
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    Chapter 16 Current State of the Art for Statistical Modelling of Species Distributions
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    Chapter 17 Landscape Genetics
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    Chapter 18 Using Geographical Mapping and Occupancy Modeling to Study the Distribution of the Critically Endangered Leopard ( Panthera pardus ) Population in Armenia
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    Chapter 19 Mapping Landscape Resistance to Identify Corridors and Barriers for Elephant Movement in Southern Africa
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    Chapter 20 Habitat Fragmentation Effects Depend on Complex Interactions Between Population Size and Dispersal Ability: Modeling Influences of Roads, Agriculture and Residential Development Across a Range of Life-History Characteristics
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    Chapter 21 Linking Cetaceans to Their Environment: Spatial Data Acquisition, Digital Processing and Predictive Modeling for Marine Spatial Planning in the Northwest Atlantic
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    Chapter 22 Multi-spectral Satellite-Airborne Management of Ice Form Marine Mammals and Their Habitat in the Presence of Climate Change Using a “Hot Spots” Approach
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    Chapter 23 How Spatial Information Contributes to the Conservation and Management of Biodiversity
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    Chapter 24 Future and Outlook: Where Are We, and Where Will the Spatial Information Management in Wildlife Ecology Be in 50 Years from Now?
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8 Wikipedia pages

Citations

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1115 Mendeley
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Title
Spatial Complexity, Informatics, and Wildlife Conservation
Published by
Springer Science & Business Media, December 2009
DOI 10.1007/978-4-431-87771-4
ISBNs
978-4-43-187771-4, 978-4-43-187770-7
Editors

Cushman, Samuel A., Huettmann, Falk

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 16 1%
United Kingdom 6 <1%
Canada 6 <1%
Spain 5 <1%
Brazil 4 <1%
Portugal 4 <1%
Germany 3 <1%
Argentina 3 <1%
France 2 <1%
Other 22 2%
Unknown 1044 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 256 23%
Student > Master 230 21%
Researcher 200 18%
Student > Doctoral Student 74 7%
Student > Bachelor 72 6%
Other 159 14%
Unknown 124 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 510 46%
Environmental Science 271 24%
Earth and Planetary Sciences 48 4%
Biochemistry, Genetics and Molecular Biology 25 2%
Social Sciences 23 2%
Other 64 6%
Unknown 174 16%