Item talk:Q300464
From geokb
{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "Estimating distribution and connectivity of recolonizing American marten in the northeastern United States using expert elicitation techniques", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70197087", "url": "https://pubs.usgs.gov/publication/70197087" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70197087 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1111/acv.12417", "url": "https://doi.org/10.1111/acv.12417" } ], "journal": { "@type": "Periodical", "name": "Animal Conservation", "volumeNumber": "21", "issueNumber": "6" }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Animal Conservation" } ], "datePublished": "2018", "dateModified": "2019-01-28", "abstract": "The American marten\u00a0Martes americana\u00a0is a species of conservation concern in the northeastern United States due to widespread declines from over\u2010harvesting and habitat loss. Little information exists on current marten distribution and how landscape characteristics shape patterns of occupancy across the region, which could help develop effective recovery strategies. The rarity of marten and lack of historical distribution records are also problematic for region\u2010wide conservation planning. Expert opinion can provide a source of information for estimating species\u2013landscape relationships and is especially useful when empirical data are sparse. We created a survey to elicit expert opinion and build a model that describes marten occupancy in the northeastern United States as a function of landscape conditions. We elicited opinions from 18 marten experts that included wildlife managers, trappers and researchers. Each expert estimated occupancy probability at 30 sites in their geographic region of expertise. We, then, fit the response data with a set of 58 models that incorporated the effects of covariates related to forest characteristics, climate, anthropogenic impacts and competition at two spatial scales (1.5 and 5\u00a0km radii), and used model selection techniques to determine the best model in the set. Three top models had strong empirical support, which we model averaged based on AIC weights. The final model included effects of five covariates at the 5\u2010km scale: percent canopy cover (positive), percent spruce\u2010fir land cover (positive), winter temperature (negative), elevation (positive) and road density (negative). A receiver operating characteristic curve indicated that the model performed well based on recent occurrence records. We mapped distribution across the region and used circuit theory to estimate movement corridors between isolated core populations. The results demonstrate the effectiveness of expert\u2010opinion data at modeling occupancy for rare species and provide tools for planning marten recovery in the northeastern United States.", "description": "13 p.", "publisher": { "@type": "Organization", "name": "Zoological Society of London" }, "author": [ { "@type": "Person", "name": "Donovan, Therese M.", "givenName": "Therese M.", "familyName": "Donovan", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0001-8124-9251", "url": "https://orcid.org/0000-0001-8124-9251" }, "affiliation": [ { "@type": "Organization", "name": "Coop Res Unit Leetown", "url": "https://www1.usgs.gov/coopunits/unit/Virginia" } ] }, { "@type": "Person", "name": "Aylward, C.M.", "givenName": "C.M.", "familyName": "Aylward" }, { "@type": "Person", "name": "Murdoch, J.D.", "givenName": "J.D.", "familyName": "Murdoch" }, { "@type": "Person", "name": "Kilpatrick, C.W.", "givenName": "C.W.", "familyName": "Kilpatrick" }, { "@type": "Person", "name": "Bernier, C.", "givenName": "C.", "familyName": "Bernier" }, { "@type": "Person", "name": "Katz, J.", "givenName": "J.", "familyName": "Katz" } ], "funder": [ { "@type": "Organization", "name": "Coop Res Unit Leetown", "url": "https://www1.usgs.gov/coopunits/unit/Virginia" } ] }, "OpenAlex": { "_id": "https://openalex.org/w2800217073", "abstract_inverted_index": { "Abstract": [ 0 ], "The": [ 1, 51, 208, 272 ], "American": [ 2 ], "marten": [ 3, 31, 54, 103, 121, 291 ], "Martes": [ 4 ], "americana": [ 5 ], "is": [ 6, 81 ], "a": [ 7, 72, 91, 99, 111, 151 ], "species": [ 8, 285 ], "of": [ 9, 39, 53, 57, 74, 113, 142, 153, 160, 213, 277 ], "conservation": [ 10, 66 ], "concern": [ 11 ], "in": [ 12, 105, 138, 190, 293 ], "the": [ 13, 42, 106, 147, 158, 187, 191, 217, 245, 258, 275, 294 ], "northeastern": [ 14, 107, 295 ], "United": [ 15, 108, 296 ], "States": [ 16, 109 ], "due": [ 17 ], "to": [ 18, 93, 163, 185, 264 ], "widespread": [ 19 ], "declines": [ 20 ], "from": [ 21, 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