five

Regional-scale Model Predictions of the Relation Between Biological Integrity and Streamflow Modification

收藏
U.S. Geological Survey2019-01-01 更新2026-04-23 收录
下载链接:
https://www.sciencebase.gov/catalog/item/5c0fcd6fe4b0c53ecb2d1b40
下载链接
链接失效反馈
官方服务:
资源简介:
The US Geological Survey (USGS) conducted a study (Carlisle and others 2017) with a national-scale dataset composed of ecological data from the USGS National Water-Quality Assessment Project and the US Environmental Protection Agency, matched to USGS streamgaging sites. In a follow-up study (Carlisle and others 2019), additional data from three regional assessments conducted by USGS were combined with data from the original study, and these new data are published here. Using all of the aforementioned datasets, the follow-up study (Carlisle and others, 2019) then developed regional-scale model predictions of the relation between streamflow modification and indicators of biological integrity. These model predictions, presented as graphics, are published here. Carlisle, D.M., T.E. Grantham, K. Eng and D. M. Wolock. 2017. Biological relevance of streamflow metrics: regional and national perspectives. Freshwater Science 36(4): 927-940. Carlisle, D.M., T.E. Grantham, K. Eng, and D.M. Wolock. 2019. Regional-scale associations between indicators of biological integrity and indicators of streamflow modification: U.S. Geological Survey Open-File Report 2019-1088, 10 p., https://doi.org/10.3133/ofr20191088.
创建时间:
2019-01-01
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作