2018
DOI: 10.1111/acv.12417
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Estimating distribution and connectivity of recolonizing American marten in the northeastern United States using expert elicitation techniques

Abstract: This is the author manuscript accepted for publication and has undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as

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Cited by 9 publications
(8 citation statements)
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“…Corridors were relatively nonspecific with the exception of movement barriers where developed land cover occurred. Contrary to previous corridor estimates based on occupancy (Aylward et al 2018), the central and northern Green Mountains of Vermont were not considered an important corridor between populations in VT-S, NH, and NY. Martens are considered extraordinarily successful Fig.…”
Section: Regional Scalecontrasting
confidence: 81%
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“…Corridors were relatively nonspecific with the exception of movement barriers where developed land cover occurred. Contrary to previous corridor estimates based on occupancy (Aylward et al 2018), the central and northern Green Mountains of Vermont were not considered an important corridor between populations in VT-S, NH, and NY. Martens are considered extraordinarily successful Fig.…”
Section: Regional Scalecontrasting
confidence: 81%
“…Occupancy probability was not a strong predictor of genetic connectivity at any scale compared with multivariate models parameterized by genetic distance. Habitat suitability or occupancy models are often used as a proxy for landscape permeability (O'Brien et al 2006;Stevenson-Holt et al 2014;Spear et al 2015;Aylward et al 2018). Our results caution that occupancy does not necessarily predict genetic connectivity in a landscape genetics framework, perhaps due to animals exhibiting greater flexibility in habitat use while transient than when selecting home ranges (Mateo-Sanchez et al 2015).…”
Section: Scale Dependence Of Landscape-genetic Relationshipsmentioning
confidence: 69%
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“…Here, we used an alternative method that developed models from probability of occurrence data obtained through expert elicitation techniques, as outlined by James et al (2010). Expert opinion based models have been used to estimate occupancy and map distribution for a variety of species and contexts (e.g., Pearce et al, 2001;Yamada et al, 2003;Mouton et al, 2009;Murray et al, 2009;Aylward et al, 2018). Developing SDMs from expert opinion data (occurrence estimates) can help overcome some of the limitations of presenceonly modeling approaches, and yield models that capture the influence of climate and land use on regional wildlife dynamics (e.g., Pearce et al, 2001;Murray et al, 2008).…”
Section: Objective 1 -Map Species Future Distributions Distribution Mmentioning
confidence: 99%