Landscape Pattern Analysis for Assessing Ecosystem Condition

By: Glen D. Johnson, Ganapati P. Patil

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Hardcover | 25 October 2006

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152 Pages

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23.39 x 15.6 x 0.97

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One of our greatest current challenges is the preservation and remediation of ecosystem integrity. This requires monitoring and assessment over large geographic areas, repeatedly over time, and cannot be practically fulfilled by field measurements alone. Remotely sensed imagery plays a crucial role by its ability to monitor large spatially continuous areas. This technology increasingly provides extensive spatial-temporal data; however, the challenge is to extract meaningful environmental information from such extensive data. This book presents a new method for assessing spatial pattern in raster land cover maps based on satellite imagery in a way that incorporates multiple pixel resolutions. This is combined with more conventional single-resolution measurements of spatial pattern and simple non-spatial land cover proportions to assess predictability of both surface water quality and ecological integrity within watersheds of the state of Pennsylvania (USA).

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List of Figures	p. ix
List of Tables	p. xiii
Preface	p. xv
Acknowledgments	p. xvii
Introduction	p. 1
Loss of Biodiversity through Excessive Habitat Fragmentation	p. 2
Land Use Pattern and Surface Water Quality	p. 5
Quantifying Landscape Pattern	p. 5
Application to Watershed-Delineated Landscapes in Pennsylvania	p. 7
Land Cover Grids	p. 8
Watersheds based on the State Water Management Plan	p. 9
Methods for Quantitative Characterization of Landscape Pattern	p. 13
Single-resolution Measurements	p. 13
The Conditional Entropy Profile	p. 16
Computing Conditional Entropy of Expected Frequencies based on Single -Resolution Maps	p. 18
Illustrations	p. 23
Example 1: Checkerboard Map	p. 23
Example 2: Irregular Black and White Map	p. 26
Example 3: Illustration with Actual Landscapes	p. 36
Classifying Pennsylvania Watersheds on the Basis of Landscape Characteristics	p. 41
Introduction	p. 41
Clustering Watersheds into Common Groups	p. 43
Comparison to Conditional Entropy Profiles	p. 53
Predictability of Surface Water Pollution in Pennsylvania Using Watershed-Based Landscape Measurements	p. 57
Introduction	p. 57
Surface Water Pollution Assessment	p. 57
Nitrogen Loading	p. 57
Pollution Potential Index	p. 60
Selecting an Initial Set of Landscape Pattern Variables	p. 63
Linear Models for Relating Water Pollution Loading to Landscape Variables	p. 66
Predicting In-Stream Nitrogen Loading	p. 68
Predicting a Pollution Potential Index	p. 70
Interpretation	p. 72
Predictability of Bird Community-Based Ecological Integrity Using Landscape Variables	p. 79
Introduction	p. 79
Assessing Ecological Integrity using Songbird Community Composition	p. 80
Background	p. 80
Application to Breeding Bird Data	p. 85
Block-Level BCI Values	p. 85
Watershed-level Ecological Integrity	p. 86
Relating Landscape Attributes to the Songbird-based Assessments of Watershed-wide Ecological Integrity	p. 91
Linear Regression Modeling	p. 91
Clustering	p. 95
Conditional Entropy Profiles	p. 97
Ecological Integrity based on All Species in the Breeding Bird Atlas	p. 100
Relation to Landscape Attributes	p. 101
Comparison of the Different Methods for Computing a Bird Community Index	p. 104
Summary	p. 106
Summary and Future Directions	p. 109
References	p. 115
Index	p. 129
Table of Contents provided by Ingram. All Rights Reserved.

Landscape Pattern Analysis for Assessing Ecosystem Condition

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

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