Item talk:Q234184
From geokb
{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "Testing assumptions for conservation of migratory shorebirds and coastal managed wetlands", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70173867", "url": "https://pubs.usgs.gov/publication/70173867" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70173867 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1007/s11273-015-9477-4", "url": "https://doi.org/10.1007/s11273-015-9477-4" } ], "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Wetlands Ecology and Management" } ], "datePublished": "2015", "dateModified": "2016-06-15", "abstract": "Managed wetlands provide critical foraging and roosting habitats for shorebirds during migration; therefore, ensuring their availability is a priority action in shorebird conservation plans. Contemporary shorebird conservation plans rely on a number of assumptions about shorebird prey resources and migratory behavior to determine stopover habitat requirements. For example, the US Shorebird Conservation Plan for the Southeast-Caribbean region assumes that average benthic invertebrate biomass in foraging habitats is 2.4\u00a0g dry mass\u00a0m\u22122\u00a0and that the dominant prey item of shorebirds in the region is Chironomid larvae. For effective conservation and management, it is important to test working assumptions and update predictive models that are used to estimate habitat requirements. We surveyed migratory shorebirds and sampled the benthic invertebrate community in coastal managed wetlands of South Carolina. We sampled invertebrates at three points in time representing early, middle, and late stages of spring migration, and concurrently surveyed shorebird stopover populations at approximately 7-day intervals throughout migration. We used analysis of variance by ranks to test for temporal variation in invertebrate biomass and density, and we used a model based approach (linear mixed model and Monte Carlo simulation) to estimate mean biomass and density. There was little evidence of a temporal variation in biomass or density during the course of spring shorebird migration, suggesting that shorebirds did not deplete invertebrate prey resources at our site. Estimated biomass was 1.47\u00a0g dry mass m\u22122\u00a0(95\u00a0% credible interval 0.13\u20133.55), approximately 39\u00a0% lower than values used in the regional shorebird conservation plan. An additional 4728\u00a0ha (a 63\u00a0% increase) would be required if habitat objectives were derived from biomass levels observed in our study. Polychaetes, especially\u00a0Laeonereis culveri(2569 individuals m\u22122), were the most abundant prey in foraging habitats at our site. Polychaetes have lower caloric content than levels assumed in the regional plan; when lower caloric content and lower biomass levels are used to determine habitat objectives, an additional 6395\u00a0ha would be required (86\u00a0% increase). Shorebird conservation and management plans would benefit from considering the uncertainty in parameters used to derive habitat objectives, especially biomass and caloric content of prey resources. Iterative testing of models that are specific to the planning region will provide rapid advances for management and conservation of migratory shorebirds and coastal managed wetlands.", "description": "14 p.", "publisher": { "@type": "Organization", "name": "Springer Link" }, "author": [ { "@type": "Person", "name": "James Lyons", "familyName": "James Lyons", "affiliation": [ { "@type": "Organization", "name": "U.S. Fish and Wildlife Service, Division of Bird Habitat Conservation" } ] }, { "@type": "Person", "name": "Herring, Garth gherring@usgs.gov", "givenName": "Garth", "familyName": "Herring", "email": "gherring@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0003-1106-4731", "url": "https://orcid.org/0000-0003-1106-4731" }, "affiliation": [ { "@type": "Organization", "name": "Forest and Rangeland Ecosystem Science Center", "url": "https://www.usgs.gov/centers/forest-and-rangeland-ecosystem-science-center" }, { "@type": "Organization", "name": "Forest and Rangeland Ecosys Science Center", "url": "https://www.usgs.gov/centers/forest-and-rangeland-ecosystem-science-center" } ] }, { "@type": "Person", "name": "Collazo, Jaime jaime_collazo@usgs.gov", "givenName": "Jaime", "familyName": "Collazo", "email": "jaime_collazo@usgs.gov", "affiliation": [ { "@type": "Organization", "name": "Coop Res Unit Atlanta", "url": "https://www1.usgs.gov/coopunits/unit/Georgia" } ] } ], "funder": [ { "@type": "Organization", "name": "Coop Res Unit Atlanta", "url": "https://www1.usgs.gov/coopunits/unit/Georgia" } ], "archivedAt": "http://dx.doi.org/10.1007/s11273-015-9477-4" }, "OpenAlex": { "abstract_inverted_index": null, "apc_list": { "value": 2290, "currency": "EUR", "value_usd": 2890, "provenance": "doaj" }, "apc_paid": null, "authorships": [ { "author_position": "first", "author": { "id": "https://openalex.org/A5006156063", "display_name": "James E. 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