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Assessing Ecological Risks at the Landscape Scale: Opportunities and Technical Limitations

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dc.contributor.author Kapustka, Lawrence A. en_US
dc.date.accessioned 2009-07-31T14:54:50Z
dc.date.available 2009-07-31T14:54:50Z
dc.date.issued 2005 en_US
dc.date.submitted 2009-05-21 en_US
dc.date.submitted 2009-05-21 en_US
dc.identifier.uri https://hdl.handle.net/10535/2886
dc.description.abstract "There is a growing awareness that ecological risk assessments (ERAs) could be improved if they made better use of ecological information. In particular, landscape features that determine the quality of wildlife habitat can have a profound influence on the estimated exposure to stressors incurred by animals when they occupy a particular area. Various approaches to characterizing the quality of habitat for a given species have existed for some time. These approaches fall into three generalized categories: (1) entirely qualitative as in suitable or unsuitable, (2) semiquantitative as in formalized habitat suitability index models, or (3) highly quantitative site-specific characterization of population demographic data such as matrix population models or multiple regression models. Such information can be used to generate spatially explicit estimates of exposure to chemicals or other environmental stressors, e.g., invasive species, physical perturbation, that take into account the magnitude of co-occurrence of the animals and stressors as they forage across a landscape. In this way, greater ecological realism is provided in the ERA and more informed management decisions can be attained." en_US
dc.subject landscape change en_US
dc.subject wildlife en_US
dc.subject ecology en_US
dc.subject risk en_US
dc.title Assessing Ecological Risks at the Landscape Scale: Opportunities and Technical Limitations en_US
dc.type Journal Article en_US
dc.type.published published en_US
dc.subject.sector Land Tenure & Use en_US
dc.subject.sector Wildlife en_US
dc.identifier.citationjournal Ecology and Society en_US
dc.identifier.citationvolume 10 en_US
dc.identifier.citationnumber 2 en_US
dc.identifier.citationmonth December en_US


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