five

i02_Natural_Communities_Commonly_Associated_with_Groundwater_(NCCAG)

收藏
California State Geoportal2026-03-28 收录
下载链接:
https://gis.data.ca.gov/maps/4d6c1d0fa79a4eb5af3fe3b5cc3131c6
下载链接
链接失效反馈
官方服务:
资源简介:
<span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>The Natural Communities Commonly Associated with Groundwater (NCCAG) dataset is a compilation of phreatophytic vegetation, regularly flooded natural wetlands and riverine areas, and springs and seeps extracted from 48 publicly available state and federal agency datasets. Two habitat classes are included in the dataset: wetland features commonly associated with the surface expression of groundwater under natural, unmodified conditions; and vegetation types commonly associated with the sub-surface presence of groundwater (phreatophytes). The NCCAG dataset began as an amalgamation of vegetation and wetland datasets with different scales, resolutions, attribute details, and classifications. A working group comprised of DWR, California Department of Fish and Wildlife (CDFW) and The Nature Conservancy (TNC) further reviewed the vegetation and wetland datasets and conducted a screening process to identify the vegetation and wetland types considered to be commonly associated with groundwater (Klausmeyer et al., 2018). The NCCAG dataset can be used as a starting point to investigate and identify groundwater dependent ecosystems (GDEs) within a groundwater basin. Identifying GDEs requires detailed understanding of the land use, groundwater levels, hydrology, and geology of a location. This comprehensive understanding of geology, hydrology, and biology is not available at the statewide scale. Further investigation and verification of the connection and dependence between groundwater and mapped vegetation and wetlands at a local scale may be needed for water managers in sustainable groundwater management planning.</span>
提供机构:
California State Geoportal
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