A socio-environmental geodatabase for integrative research in the transboundary Rio Grande/Rio Bravo basin

被引:11
|
作者
Plassin, Sophie [1 ]
Koch, Jennifer [1 ]
Paladino, Stephanie [2 ,3 ]
Friedman, Jack R. [3 ]
Spencer, Kyndra [1 ]
Vache, Kellie B. [4 ]
机构
[1] Univ Oklahoma, Dept Geog & Environm Sustainabil, 100 E Boyd St, Suite 510, Norman, OK 73019 USA
[2] MeroLek Res, POB 973, Athens, GA 30603 USA
[3] Univ Oklahoma, Ctr Appl Social Res, 5 Partners Pl,201 Stephenson Parkway,Suite 4100, Norman, OK 73019 USA
[4] Oregon State Univ, Biol & Ecol Engn, 124 SW 26th St,Gilmore Hall 232, Corvallis, OR 97331 USA
关键词
ECOLOGICAL SYSTEMS; WATER;
D O I
10.1038/s41597-020-0410-1
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Measurement(s)water resources center dot Socioeconomic Factors center dot Infrastructure center dot EnvironmentTechnology Type(s)digital curationSample Characteristic - Environmentwatershed center dot socio-environmental systemSample Characteristic - LocationRio Grande center dot Rio Bravo Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.11807424 Integrative research on water resources requires a wide range of socio-environmental datasets to better understand human-water interactions and inform decision-making. However, in transboundary watersheds, integrating cross-disciplinary and multinational datasets is a daunting task due to the disparity of data sources and the inconsistencies in data format, content, resolution, and language. This paper introduces a socio-environmental geodatabase that transcends political and disciplinary boundaries in the Rio Grande/Rio Bravo basin (RGB). The geodatabase aggregates 145 GIS data layers on five main themes: (i) Water & Land Governance, (ii) Hydrology, (iii) Water Use & Hydraulic Infrastructures, (iv) Socio-Economics, and (v) Biophysical Environment. Datasets were primarily collected from public open-access data sources, processed with ArcGIS, and documented through the FGCD metadata standard. By synthesizing a broad array of datasets and mapping public and private water governance, we expect to advance interdisciplinary research in the RGB, provide a replicable approach to dataset compilation for transboundary watersheds, and ultimately foster transboundary collaboration for sustainable resource management.
引用
收藏
页数:14
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