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• W2487821935 startingPage "287" @default.
• W2487821935 abstract "Wildlife–habitat relationships models include spatially explicit models that “keep track of the exact locations of plants and animals” or “have a structure that specifies the location of each object of interest.” Application of spatially explicit habitat models has been facilitated by readily available aerial and satellite imagery, global positioning systems (GPS), increasingly comprehensive field inventories, and geographic information systems (GIS). Models benefit wildlife–habitat relationships studies by offering a framework for integrating uncertainty and error, and by identifying complex and sometimes obscure relationships. Model applications are common at all levels of resource decision making ranging from operational, site-specific evaluations to strategic, large-scale evaluations. Modeling wildlife habitat over this range of scales requires many assumptions about the relationships between wildlife population metrics and habitat occurrence, quality, and spatial distribution. Standard modeling protocol is to explicitly state all assumptions early in the process; substantiate those assumptions with field data, published information, or expert opinion; hypothesize the relationships among wildlife and their habitat; and use the modeling framework to evaluate sensitivities and produce output. One critical assumption underlying this protocol is that habitat is accurately characterized at ecologically relevant scales to the organism(s) of interest." @default.
• W2487821935 created "2016-08-23" @default.
• W2487821935 creator A5058583161 @default.
• W2487821935 creator A5068694740 @default.
• W2487821935 creator A5078731848 @default.
• W2487821935 creator A5079188425 @default.
• W2487821935 date "2009-01-01" @default.
• W2487821935 modified "2023-09-28" @default.
• W2487821935 title "Lessons Learned from Using GIS to Model Landscape-Level Wildlife Habitat" @default.
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