A Community EcoHealth Index from EnviroAtlas Ecosystem Services Metrics
Abstract
Human health is inextricably tied to ecosystem services (ES), including those associated with greenspace in urban communities. EnviroAtlas provides close to 100 maps of ES metrics based on high-resolution land cover data in featured communities across the contiguous United States. Using selected EnviroAtlas ES metrics, a Community EcoHealth Index (CEHI) was created based on an ecohealth framework including health promotion and hazard buffering domains. Aggregation of eight selected ES metrics in these domains entailed a weighted distance measure, where objective, data-driven weights were generated. CEHI was calculated by Census Block Group (CBG) at both the local level and the national level for 22 EnviroAtlas communities. Results were mapped to show one- to five-star CBGs or neighborhoods within and across all 22 featured communities. At the national level, CEHI favors communities in forested ecoregions. The local version of CEHI is more appropriate to inform social, economic, and environmental decision-making for improving community ES associated with human health.
- Authors:
- Publication Date:
- Research Org.:
- Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1564319
- Alternate Identifier(s):
- OSTI ID: 1580702
- Grant/Contract Number:
- DW-89-92429801
- Resource Type:
- Published Article
- Journal Name:
- International Journal of Environmental Research and Public Health
- Additional Journal Information:
- Journal Name: International Journal of Environmental Research and Public Health Journal Volume: 16 Journal Issue: 15; Journal ID: ISSN 1660-4601
- Publisher:
- MDPI AG
- Country of Publication:
- Switzerland
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; metro-health; greenspace; geospatial; health equity; index
Citation Formats
Cochran, Ferdouz, Jackson, Laura, Neale, Anne, Lovette, John, and Tran, Liem. A Community EcoHealth Index from EnviroAtlas Ecosystem Services Metrics. Switzerland: N. p., 2019.
Web. doi:10.3390/ijerph16152760.
Cochran, Ferdouz, Jackson, Laura, Neale, Anne, Lovette, John, & Tran, Liem. A Community EcoHealth Index from EnviroAtlas Ecosystem Services Metrics. Switzerland. https://doi.org/10.3390/ijerph16152760
Cochran, Ferdouz, Jackson, Laura, Neale, Anne, Lovette, John, and Tran, Liem. Fri .
"A Community EcoHealth Index from EnviroAtlas Ecosystem Services Metrics". Switzerland. https://doi.org/10.3390/ijerph16152760.
@article{osti_1564319,
title = {A Community EcoHealth Index from EnviroAtlas Ecosystem Services Metrics},
author = {Cochran, Ferdouz and Jackson, Laura and Neale, Anne and Lovette, John and Tran, Liem},
abstractNote = {Human health is inextricably tied to ecosystem services (ES), including those associated with greenspace in urban communities. EnviroAtlas provides close to 100 maps of ES metrics based on high-resolution land cover data in featured communities across the contiguous United States. Using selected EnviroAtlas ES metrics, a Community EcoHealth Index (CEHI) was created based on an ecohealth framework including health promotion and hazard buffering domains. Aggregation of eight selected ES metrics in these domains entailed a weighted distance measure, where objective, data-driven weights were generated. CEHI was calculated by Census Block Group (CBG) at both the local level and the national level for 22 EnviroAtlas communities. Results were mapped to show one- to five-star CBGs or neighborhoods within and across all 22 featured communities. At the national level, CEHI favors communities in forested ecoregions. The local version of CEHI is more appropriate to inform social, economic, and environmental decision-making for improving community ES associated with human health.},
doi = {10.3390/ijerph16152760},
journal = {International Journal of Environmental Research and Public Health},
number = 15,
volume = 16,
place = {Switzerland},
year = {Fri Aug 02 00:00:00 EDT 2019},
month = {Fri Aug 02 00:00:00 EDT 2019}
}
https://doi.org/10.3390/ijerph16152760
Web of Science
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