2008
DOI: 10.1007/s00267-008-9179-2
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Should Habitat Trading Be Based on Mitigation Ratios Derived from Landscape Indices? A Model-Based Analysis of Compensatory Restoration Options for the Red-Cockaded Woodpecker

Abstract: Many species of conservation concern are spatially structured and require dispersal to be persistent. For such species, altering the distribution of suitable habitats on the landscape can affect population dynamics in ways that are difficult to predict from simple models. We argue that for such species, individual-based and spatially explicit population models (SEPMs) should be used to determine appropriate levels of off-site restoration to compensate for on-site loss of ecologic resources. Such approaches are… Show more

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Cited by 17 publications
(18 citation statements)
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“…This situation is not unique to Fort Hood. Indeed, many regulatory provisions require a means by which detrimental changes in ecological resources can be mitigated at the appropriate level by off-site compensation (Bruggeman and Jones 2008). We demonstrated that sensitivity analysis of a stochastic population projection model could be used to quantify how changes in occupied habitat affect metapopulation viability.…”
Section: Discussionmentioning
confidence: 98%
See 4 more Smart Citations
“…This situation is not unique to Fort Hood. Indeed, many regulatory provisions require a means by which detrimental changes in ecological resources can be mitigated at the appropriate level by off-site compensation (Bruggeman and Jones 2008). We demonstrated that sensitivity analysis of a stochastic population projection model could be used to quantify how changes in occupied habitat affect metapopulation viability.…”
Section: Discussionmentioning
confidence: 98%
“…Indeed, many regulatory provisions require a means by which detrimental changes in ecological resources can be mitigated at the appropriate level by off-site compensation (Bruggeman and Jones 2008). This situation is not unique to Fort Hood.…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations