Landscape Ecology in Theory and Practice: Pattern and Process

Table of Contents

Chapter 1. Introduction to Landscape Ecology and Scale

What is Landscape Ecology?

Roots of Landscape Ecology

Intellectual Foundations of Landscape Ecology

Landscape Ecology Matures

Scale and Heterogeneity

Scale Terminology

Hierarchy Theory and Cross-scale Interactions

Upscaling and Downscaling

Objectives of this Book

Summary

Discussion Questions

Recommended Readings

Chapter 2. Causes of Landscape Pattern

Four Key Drivers of Landscape Pattern

The Abiotic Template

Biotic Interactions

Human Land Use

Disturbance and Succession

Landscape Legacies and the Role of History

Why is it Still Difficult to Explain and Predict Landscape Change?

Multivariate Interacting Drivers

Thresholds and Nonlinearites

Social-ecological Systems

Limited Ability to Perform Exeriments

Summary

Discussion Questions

Recommended Readings

Chapter 3. Introduction to Models

What are Models and Why do we use them?

What is a Model?

Why Landscape Ecologists Need Models

Strategy for Developing Models

Define the Problem and Develop a Conceptual Model

Tactics for Making the Model Work

Neutral Landscape Models

Neutral Models in Ecology

Neutral Models in Landscape Ecology

Insights and Applications of NLMs

Summary

Discussion Questions

Recommended Readings

Chapter 4. Landscape Metrics

Why Quantify Pattern?

Data Used in Landscape Analyses

A Comment on Spatial Data Accuracy

Caveats for Landscape Pattern Analysis, or "READ THIS FIRST"

#1 The Classification Scheme is Critical

#2 Scale Matters and Must be Defined

#3 A Patch is not a Patch

#4 Many Metrics are Correlated with one Another (and thus Redundant)

#5 There is no Single, Magic Metric

Metrics for Quantifying Landscape Pattern

Metrics of Landscape Composition

Metrics of Spatial Configuration

Fractals

Measures of Landscape Texture

Measures of Landscape Connectivity

Landscape Metrics: What is the State of the Science?

What Constitutes a "Significant" Difference in Landscape Pattern?

Making Sense out of Multiple Metrics

Metrics and Landscape Indicators

Some Additional Practical Advice and Parting Words

Summary

Discussion Questions

Recommended Readings

Chapter 5. Spatial Statistics

Why do Landscape Ecologists use Spatial Statistics?

Spatial Independence

Nature of Spatial Structure

Spatial Interpolation

Caveats for Using Spatial Statistics, or "READ THIS FIRST"

#1 The Spatial Dependence in Landscape Data must be Characterized and Considered

#2 Spatial Autocorrelation is Not Always a Problem

#3 Coincidence of Scales of Spatial Dependence Among Multiple Variables does not Prove Causality

#4 Scale Always Matters

#5 Stationarity is an Important Assumption in Many Spatial Statistical Analyses

#6 Interpreting Spatial Statistics is both a Science and an Art

Point Pat

Author: Monica G. Turner, Robert H. Gardner
Publisher: Springer
Published: 08/23/2016
Pages: 482
Binding Type: Paperback
Weight: 1.91lbs
Size: 10.00h x 7.00w x 1.01d
ISBN: 9781493938186

About the Author

Monica G. Turner

Eugene P. Odum Professor of Ecology

Department of Zoology

University of Wisconsin-Madison

Madison, WI 53706

turnermg@wisc.edu

Tel. 608-262-2592

Robert H. Gardner

Professor Emeritus

Appalachian Lab

University of Maryland Center for Environmental Science

Frostburg, MD 21532

rhgardner99@gmail.com

Tel. 707-230-5106