five

Georgia Coastal Ecosystems - Long Term Ecological Research Network (LTER)

收藏
Global Change Master Directory (GCMD)2026-04-25 收录
下载链接:
https://cmr.earthdata.nasa.gov/search/concepts/C1214154736-SCIOPS.html
下载链接
链接失效反馈
官方服务:
资源简介:
Field studies focus on hydrodynamics and hydrology, assessment of ground water inputs, and the relationship of flows and fluxes to morphology. Complementary studies will include DIC, O2 and NO3 - fluxes, sediment biogeochemistry and plant and animal community composition, density and diversity. Specific processes that will be addressed by field studies and numerical simulations include: 1. Influence of hydrological processes (evaporation, transpiration, groundwater input, marsh circulation) on the salt balance at different places in the creek-marsh complex, 2. Effects of forcing from water level gradients (barotropic mode) and density gradients (baroclinic mode) which reinforce and/or counteract at different stages of the tidal cycle, and 3. Tidal energy dissipation in and along the salt marsh/tidal creek complex which provides energy for resuspension and transport sediments; dispersion of organisms; mixing and diffusion of salt and biogeochemical constituents; and controls benthic boundary layer thickness. The Georgia Coastal Ecosystems Long Term Ecological Research (GCE-LTER) site is located on the central Georgia coast of the Southeastern United States, in the vicinity of Sapelo Island and the Altamaha River (31.40 N Lat, 81.30 W Lon). This information was obtained in part from the Georgia Coastal Ecosystems Home page at http://gce-lter.marsci.uga.edu/project/project_summary.htm . The Georgia Coastal Ecosystems LTER site is part of the Long Term Ecological Research Network, which is funded by the National Science Foundation, and accessible at www.lternet.edu. Data are one of the most valuable products of the LTER program. The goal of the Network is to provide fast, effective, and open access to LTER data. Over 2000 ecological datasets are part of a network-wide information system designed to facilitate data exchange and integration to meet the needs of ecological scientists.
提供机构:
SCIOPS
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