A dataset of carbon and water flux observations in the agricultural ecosystem of spring maize in Jinzhou (2005–2014)

Abstract

The observation of carbon and water fluxes in agricultural ecosystems based on eddy covariance technique (EC) is of great significance for improving crop yield and utilization efficiency of water resources in cropland, and promoting the realization of carbon peaking and carbon neutrality goals. Jinzhou agricultural Ecosystem Field Observation Station (Jinzhou Station) is one of the member stations of Chinese FLUX Observation and Research Network (ChinaFLUX). It is located in the main spring maize-producing area in Jinzhou City, Liaoning Province, China. Jinzhou Station has been carrying out the EC-based observation of carbon and water fluxes of the spring maize agricultural ecosystem since May 2004. In line with the ChinaFLUX data processing protocols, we statistically collected the carbon and water fluxes and auxiliary meteorological environment observations of the spring maize agricultural ecosystem in Jinzhou from 2005 to 2014, so as to obtain a standardized dataset with four-time scales (i.e. half-hourly, daily, monthly, and yearly). This dataset is expected to provide data support for the study of climate change and the process and mechanism of carbon and water cycle in farmland ecosystems.