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
Complete Metadata
| 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"
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{
"@type": "dcat:Distribution",
"title": "Original Metadata",
"format": "XML",
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"downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.5d95594be4b0c4f70d10d6c8.xml"
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|
| 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 |
