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Using expert knowledge effectively: Lessons from species distribution models for wildlife conservation and management
Citation
Johnson, CJ and Hurley, M and Rapaport, E and Pullinger, MG, Using expert knowledge effectively: Lessons from species distribution models for wildlife conservation and management, Expert Knowledge and Its Application in Landscape Ecology, Springer, AH Perera, CA Drew, CJ Johnson (ed), New York, United States, pp. 153-172. ISBN 978-1-4614-1033-1 (2012) [Research Book Chapter]
Copyright Statement
Copyright 2012 Springer Science+Business Media, LLC
DOI: doi:10.1007/978-1-4614-1034-8_8
Abstract
The spatial and temporal relationships between organisms and their environments are fundamental to both theoretical and applied ecology. The heterogeneous distribution of organisms in space and time will influence most ecological relationships, including predation, competition, and resource use, and. ultimately, population dynamics and evolution (Turchin 1996). Recognizing that the science and practice of ecology involves a consideration of spatial processes, much recent research has focused on formally representing and quantifying the spatial and temporal relationships between organisms and their environments (Morales et al. 2010). One prominent area of investigation for landscape ecologists has been the development of statistical models and associated analyses that empirically represent those relationships (Elith and Leathwick 2009). This set of methods has become known as "species distribution models" (SDMs). Guisan and Thuiller (2005) define SDMs as" ... empirical models relating field observations to environmental predictor variables, based on statistically or theoretically derived response surfaces."
Item Details
Item Type: | Research Book Chapter |
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Keywords: | species distribution models, wildlife conservation, wildlife management, expert knowledge |
Research Division: | Environmental Sciences |
Research Group: | Environmental management |
Research Field: | Environmental management |
Objective Division: | Environmental Management |
Objective Group: | Other environmental management |
Objective Field: | Other environmental management not elsewhere classified |
UTAS Author: | Pullinger, MG (Mr Michael Pullinger) |
ID Code: | 116538 |
Year Published: | 2012 |
Deposited By: | Geography and Spatial Science |
Deposited On: | 2017-05-12 |
Last Modified: | 2017-10-16 |
Downloads: | 0 |
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