Item talk:Q244800
From geokb
{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "Comparison of harvest scenarios for the cost-effective suppression of Lake Trout in Swan Lake, Montana", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70048209", "url": "https://pubs.usgs.gov/publication/70048209" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70048209 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1080/02755947.2013.824935", "url": "https://doi.org/10.1080/02755947.2013.824935" } ], "journal": { "@type": "Periodical", "name": "North American Journal of Fisheries Management", "volumeNumber": "33", "issueNumber": "6" }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "North American Journal of Fisheries Management" } ], "datePublished": "2013", "dateModified": "2016-07-11", "abstract": "Given the large amount of resources required for long-term control or eradication projects, it is important to assess strategies and associated costs and outcomes before a particular plan is implemented. We developed a population model to assess the cost-effectiveness of mechanical removal strategies for suppressing long-term abundance of nonnative Lake Trout\u00a0Salvelinus namaycush\u00a0in Swan Lake, Montana. We examined the efficacy of targeting life stages (i.e., juveniles or adults) using temporally pulsed fishing effort for reducing abundance and program cost. Exploitation rates were high (0.80 for juveniles and 0.68 for adults) compared with other lakes in the western USA with Lake Trout suppression programs. Harvesting juveniles every year caused the population to decline, whereas harvesting only adults caused the population to increase above carrying capacity. Simultaneous harvest of juveniles and adults was required to cause the population to collapse (i.e., 95% reduction relative to unharvested abundance) with 95% confidence. The population could collapse within 15\u00a0years for a total program cost of US$1,578,480 using the most aggressive scenario. Substantial variation in cost existed among harvest scenarios for a given reduction in abundance; however, total program cost was minimized when collapse was rapid. Our approach provides a useful case study for evaluating long-term mechanical removal options for fish populations that are not likely to be eradicated.", "description": "12 p.", "publisher": { "@type": "Organization", "name": "American Fisheries Society" }, "author": [ { "@type": "Person", "name": "Guy, Christopher S. cguy@usgs.gov", "givenName": "Christopher S.", "familyName": "Guy", "email": "cguy@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-9936-4781", "url": "https://orcid.org/0000-0002-9936-4781" }, "affiliation": [ { "@type": "Organization", "name": "Coop Res Unit Seattle", "url": "https://www1.usgs.gov/coopunits/unit/Washington" }, { "@type": "Organization", "name": "Office of the Chief Scientist for Ecosystems", "url": "https://www.usgs.gov/associate-chief-information-officer" }, { "@type": "Organization", "name": "National Research Program - Western Branch", "url": "https://www.usgs.gov/centers/arizona-water-science-center" } ] }, { "@type": "Person", "name": "Syslo, John M.", "givenName": "John M.", "familyName": "Syslo" }, { "@type": "Person", "name": "Cox, Benjamin S.", "givenName": "Benjamin S.", "familyName": "Cox" } ], "funder": [ { "@type": "Organization", "name": "Coop Res Unit Seattle", "url": "https://www1.usgs.gov/coopunits/unit/Washington" } ], "spatialCoverage": [ { "@type": "Place", "additionalType": "country", "name": "United States", "url": "https://geonames.org/4074035" }, { "@type": "Place", "additionalType": "state", "name": "Montana" }, { "@type": "Place", "additionalType": "unknown", "name": "Swan Lake", "url": "https://geonames.org/4092536" }, { "@type": "Place", "geo": [ { "@type": "GeoShape", "additionalProperty": { "@type": "PropertyValue", "name": "GeoJSON", "value": { "type": "FeatureCollection", "features": [ { "type": "Feature", "properties": {}, "geometry": { "type": "Polygon", "coordinates": [ [ [ -113.99276733398438, 47.9085180470967 ], [ -113.99276733398438, 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