Landscape Pattern Analysis for Assessing Ecosystem Condition [Hardcover]

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).

Methods for Quantitative Characterization of Landscape Pattern.- Illustrations.- Classifying Pennsylvania Watersheds on the Basis of Landscape Characteristics.- Predictability of Surface Water Pollution in Pennsylvania Using Watershed-Based Landscape Measurements.- Predictability of Bird Community-Based Ecological Integrity Using Landscape Variables.- Summary and Future Directions.- References.

Glen Johnson is a Research Scientist with the New York State Department of Health and an Assistant Professor in the University at Albany, State University of New York, School of Public Health in Albany, New York. He holds a PhD in Quantitative Ecology, a Masters in Statistics and a Masters in Ecology.

With a cross-disciplinary background, Glen has been involved with environmental issues ranging from toxicology to landscape ecology. He has since ventured into public health and currently specializes in observational epidemiological studies using large databases als$