Item talk:Q319914
From geokb
{
"DOI": { "doi": "10.5066/p9sax5tr", "identifiers": [], "creators": [ { "name": "Samuel, Michael D", "nameType": "Personal", "givenName": "Michael D", "familyName": "Samuel", "affiliation": [], "nameIdentifiers": [ { "schemeUri": "https://orcid.org", "nameIdentifier": "https://orcid.org/0000-0001-6403-9922", "nameIdentifierScheme": "ORCID" } ] }, { "name": "Atkinson, Carter T", "nameType": "Personal", "givenName": "Carter T", "familyName": "Atkinson", "affiliation": [], "nameIdentifiers": [ { "schemeUri": "https://orcid.org", "nameIdentifier": "https://orcid.org/0000-0002-4232-5335", "nameIdentifierScheme": "ORCID" } ] }, { "name": "LaPointe, Dennis A", "nameType": "Personal", "givenName": "Dennis A", "familyName": "LaPointe", "affiliation": [], "nameIdentifiers": [ { "schemeUri": "https://orcid.org", "nameIdentifier": "https://orcid.org/0000-0002-6323-263X", "nameIdentifierScheme": "ORCID" } ] } ], "titles": [ { "title": "Hawaii Island, modelled density of malaria-resistant and -susceptible Iiwi following release of malaria-resistant birds under three climate change projections, 2030-2100" } ], "publisher": "U.S. Geological Survey", "container": {}, "publicationYear": 2019, "subjects": [ { "subject": "Ecology, Wildlife Biology, Wildlife Disease" } ], "contributors": [], "dates": [ { "date": "2019", "dateType": "Issued" } ], "language": null, "types": { "ris": "DATA", "bibtex": "misc", "citeproc": "dataset", "schemaOrg": "Dataset", "resourceType": "Dataset", "resourceTypeGeneral": "Dataset" }, "relatedIdentifiers": [ { "relationType": "IsCitedBy", "relatedIdentifier": "10.1016/j.biocon.2019.108390", "relatedIdentifierType": "DOI" } ], "relatedItems": [], "sizes": [], "formats": [], "version": null, "rightsList": [], "descriptions": [ { "description": "This data set provides the simulated results of releasing malaria-resistant Iiwi into existing populations of wild birds on the Island of Hawaii. Resistant birds are released into mid- and high-elevation forests at different densities at 10-year intervals from 2030 to 2070. Populations of both malaria-resistant and susceptible Iiwi are then predicted at 10-year intervals from release until 2100. Predictions are made based on 3 different climate change projections: A1B, RCP4.5, and RCP8.5. The goal of this project is to evaluate the feasibility of creating a successful population of Iiwi when faced with higher malaria infection predicted as a result of climate change. The model results presented here build upon two previous research studies published in 2011 and 2015 (see published articles in the cross-reference section of the metadata below). The original input data and model descriptions can be found in these earlier papers. This data release concentrates on the 2019 model and its output", "descriptionType": "Abstract" } ], "geoLocations": [], "fundingReferences": [], "url": "https://www.sciencebase.gov/catalog/item/5d95594be4b0c4f70d10d6c8", "contentUrl": null, "metadataVersion": 2, "schemaVersion": "http://datacite.org/schema/kernel-4", "source": "mds", "isActive": true, "state": "findable", "reason": null, "viewCount": 0, "downloadCount": 0, "referenceCount": 0, "citationCount": 1, "partCount": 0, "partOfCount": 0, "versionCount": 0, "versionOfCount": 0, "created": "2019-12-19T17:34:16Z", "registered": "2019-12-19T17:34:18Z", "published": null, "updated": "2023-12-18T13:37:42Z" }
}