Abstract
Virtually any aspect of an ecological assessment (EA) is likely to involve the topic of space, including its striking effect on landscapes and the distribution of human populations. For example, a spatially explicit approach is needed to address two policy questions common to many EAs. What is required for maintaining the long-term productivity of ecosystems? What is the impact of maintaining current management scenarios on, for example, major social issues or the maintenance of rural communities and their economies in a given area? Essential tasks of EAs also involve the explicit consideration of space, such as in combining information from various geographic areas and multiple scales. Most measurements of large-scale phenomena, such as the effect of regional carbon and nitrogen cycles, hydrologic regimes, changes in land-use patterns, and demographics, among many others, carry the imprint of spatial variability and scaling. Therefore, explicit consideration of all aspects of space (e.g., spatial variability and its corollary, spatial scaling) is increasingly a central concern in the design and implementation of EAs, whether in map creation or incorporation in predictive modeling (see Chapters 3 and 18; also, Haining, 1990; Ritchie, 1997).
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Bourgeron, P.S., Fortin, MJ., Humphries, H.C. (2001). Elements of Spatial Data Analysis in Ecological Assessments. In: Jensen, M.E., Bourgeron, P.S. (eds) A Guidebook for Integrated Ecological Assessments. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-8620-7_14
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