%0 Dataset
%T Carbon and Water Flux Observation Dataset of Reed Wetland Ecosystem in the Yellow River Delta (2011–2018)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/49b1002d-8fc9-461e-9e11-7c50559f5af4
%W NCDC
%R 10.57760/sciencedb.j00001.00867
%A Wei Siyu
%K Eddy Covariance;Reed Wetland;Carbon Flux
%X Wetland ecosystems play a crucial role in mitigating global climate change, and long-term, continuous eddy covariance monitoring of carbon and water fluxes is essential for better conserving and utilizing the service functions of wetland ecosystems. However, due to the scarcity of relevant monitoring data, there are relatively few studies focusing on changes in carbon and water fluxes in wetland ecosystems. Therefore, there is an urgent need for high-quality monitoring datasets to provide support. The Coastal Wetland Ecological Experimental Station of the Yellow River Delta, Chinese Academy of Sciences (hereinafter referred to as the Yellow River Delta Station) has been continuously monitoring the reed wetland ecosystem based on eddy covariance technology since 2010, and has accumulated years of observation data on carbon and water fluxes. This dataset is based on the monitoring work already conducted by the Yellow River Delta Station, summarizing and organizing the eddy covariance observation data of carbon and water fluxes at the station from 2011 to 2018, and forming data products with four temporal resolutions: half-hourly, daily, monthly, and inter-annual scales.This dataset provides reliable data support for accurately assessing the carbon and water fluxes of the wetland ecosystem in the Yellow River Delta and their dynamic changes at various temporal scales.