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  • 标题:Multi-Attribute Ecological and Socioeconomic Geodatabase for the Gulf of Mexico Coastal Region of the United States
  • 本地全文:下载
  • 作者:Andrew Shamaskin ; Sathishkumar Samiappan ; Jiangdong Liu
  • 期刊名称:Data
  • 印刷版ISSN:2306-5729
  • 出版年度:2020
  • 卷号:5
  • 期号:1
  • 页码:3-17
  • DOI:10.3390/data5010003
  • 出版社:MDPI Publishing
  • 摘要:Strategic, data driven conservation approaches are increasing in popularity as conservation communities gain access to better science, more computing power, and more data. High resolution geospatial data, indicating ecosystem functions and economic activity, can be very useful for any conservation expert or funding agency. A framework was developed for a data driven conservation prioritization tool and a data visualization tool. The developed tools were then implemented and tested for the U.S. Gulf of Mexico coastal region defined by the Gulf Coast Ecosystem Restoration Council. As a part of this tool development, priority attributes and data measures were developed for the region through 13 stakeholder charrettes with local, state, federal, and other non-profit organizations involved in land conservation. This paper presents the measures that were developed to reflect stakeholder priorities. These measures were derived from openly available geospatial and non-geospatial data sources. This database contained 19 measures, aggregated into a one km2 hexagonal grid and grouped by the overarching goals of habitat, water quality and quantity, living coastal and marine resources, community resilience, and economy. The developed measures provided useful data for a conservation planning framework in the U.S. Gulf of Mexico coastal region.
  • 关键词:land conservation; geodatabase; Gulf of Mexico; conservation planning land conservation ; geodatabase ; Gulf of Mexico ; conservation planning
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