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Learning Landscape Ecology

Overview of attention for book
Cover of 'Learning Landscape Ecology'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Remote Sensing
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    Chapter 2 Historical Aerial Photography for Landscape Analysis
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    Chapter 3 Citizen Science for Assessing Landscape Change
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    Chapter 4 Understanding Landscape Metrics
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    Chapter 5 Scale Detection Using Semivariograms and Autocorrelograms
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    Chapter 6 Characterizing Categorical Map Patterns Using Neutral Landscape Models
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    Chapter 7 What Constitutes a Significant Difference in Landscape Pattern?
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    Chapter 8 Introduction to Markov Models
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    Chapter 9 Simulating Management Actions and Their Effects on Forest Landscape Pattern
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    Chapter 10 Regional and Continental-Scale Perspectives on Landscape Pattern
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    Chapter 11 Using Spatial Statistics and Landscape Metrics to Compare Disturbance Mosaics
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    Chapter 12 Assessing Multi-Scale Landscape Connectivity Using Network Analysis
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    Chapter 13 Systematic Conservation Planning with Marxan
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    Chapter 14 Connectivity as the Amount of Reachable Habitat: Conservation Priorities and the Roles of Habitat Patches in Landscape Networks
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    Chapter 15 Linking Landscapes and Metacommunities
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    Chapter 16 Modeling Spatial Dynamics of Ecosystem Processes and Services
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    Chapter 17 Heterogeneity in Ecosystem Services: Multi-Scale Carbon Management in Tropical Forest Landscapes
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    Chapter 18 Regime Shifts and Spatial Resilience in a Coral Reef Seascape
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    Chapter 19 Understanding Land-Use Feedbacks and Ecosystem Service Trade-Offs in Agriculture
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    Chapter 20 Social Networks: Uncovering Social–Ecological (Mis)matches in Heterogeneous Marine Landscapes
Overall attention for this book and its chapters
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Mentioned by

blogs
1 blog
twitter
179 tweeters
facebook
4 Facebook pages

Citations

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14 Dimensions

Readers on

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124 Mendeley
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Title
Learning Landscape Ecology
Published by
Springer-Verlag New York, January 2017
DOI 10.1007/978-1-4939-6374-4
ISBNs
978-1-4939-6372-0, 978-1-4939-6374-4
Editors

Sarah E. Gergel, Monica G. Turner

Twitter Demographics

The data shown below were collected from the profiles of 179 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 <1%
Unknown 123 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 24%
Student > Master 28 23%
Student > Bachelor 15 12%
Researcher 12 10%
Student > Doctoral Student 10 8%
Other 22 18%
Unknown 7 6%
Readers by discipline Count As %
Environmental Science 44 35%
Agricultural and Biological Sciences 37 30%
Earth and Planetary Sciences 7 6%
Biochemistry, Genetics and Molecular Biology 3 2%
Engineering 3 2%
Other 12 10%
Unknown 18 15%