Hawaii Island, modelled density of malaria-resistant and -susceptible Iiwi following release of malaria-resistant birds under three climate change projections, 2030-2100
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 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
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "010:12" ] |
| contactPoint |
{ "fn": "Dennis Lapointe", "@type": "vcard:Contact", "hasEmail": "mailto:dlapointe@usgs.gov" } |
| 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 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 |
| distribution |
[ { "@type": "dcat:Distribution", "title": "Digital Data", "format": "XML", "accessURL": "https://doi.org/10.5066/P9SAX5TR", "mediaType": "application/http", "description": "Landing page for access to the data" }, { "@type": "dcat:Distribution", "title": "Original Metadata", "format": "XML", "mediaType": "text/xml", "description": "The metadata original format", "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.5d95594be4b0c4f70d10d6c8.xml" } ] |
| identifier | http://datainventory.doi.gov/id/dataset/USGS_5d95594be4b0c4f70d10d6c8 |
| keyword |
[ "CRISPR", "Hawaiian forest birds", "Iiwi", "USGS:5d95594be4b0c4f70d10d6c8", "avian malaria", "biota", "climate change", "facilitated adaptation", "gene editing" ] |
| modified | 2020-08-27T00:00:00Z |
| publisher |
{ "name": "U.S. Geological Survey", "@type": "org:Organization" } |
| spatial | -155.3439, 19.2904, -154.9896, 19.6297 |
| theme |
[ "geospatial" ] |
| title | Hawaii Island, modelled density of malaria-resistant and -susceptible Iiwi following release of malaria-resistant birds under three climate change projections, 2030-2100 |
