An observation dataset of carbon fluxes of a rainfed spring maize cropland in Shouyang, Shan Xi (2012~2014)

Farmland ecosystem is the most frequently affected by human activities in terrestrial ecosystem. Therefore, the study of the change of carbon flux in farmland ecosystem is helpful to formulate more reasonable farmland management measures and promote sustainable green agriculture development.

In this study, vorticity correlation observation technology was used to conduct long-term observation on local early spring corn farmland in Shou Yang Scientific Experimental Station of Shanxi Province. Data related to carbon flux of spring corn farmland from 2012 to 2014 were collected and sorted out. The observation indexes included air temperature, air humidity, saturated vapor pressure difference, soil temperature, 10cm soil water content, photosynthetically active radiation and leaf area Index, gross primary production, ecosystem respiration, net ecosystem exchange; According to the time scale, it can be divided into three categories: day scale, month scale and year scale.