Abstract: In the context of climate change, the carbon sink capacity and carbon sequestration potential of planted forests have received increasing attention in recent years. Due to the needs of social and economic development, the planting area of rubber forests in China has been expanding on natural forest, and it has become the most important artificial forest ecosystem in tropical regions of China. This change in land use will inevitably cause major changes in regional hydrology, climate and carbon-water cycle. Eddy covariance technique is the most advanced, extensive and accurate method for studying matter and energy flux in the world. However, eddy covariance technique currently applied in rubber forests are still rare, and the carbon and water fluxes data in this area is particularly important for coping with current global climate change and international climate negotiations. As one of the basic observation and research sites of China Flux Research Network (ChinaFLUX), the Xishuangbanna Rubber Forest Flux Observation System was built in 2010, based on ChinaFLUX standardized data processing procedures, has now accumulated 11 years of carbon-water flux, energy Flux and meteorological observation data. This dataset compiles the rubber forest flux and routine meteorological data in Xishuangbanna from June 2010 to December 2014, including net ecosystem productivity, ecosystem respiration, gross ecosystem primary productivity, latent heat flux, sensible heat flux , evapotranspiration, air temperature, relative air humidity, water vapor pressure, wind speed, wind direction, atmospheric pressure, global solar radiation, net radiation, photosynthetically active radiation, soil temperature, soil moisture, precipitation and other indicators, forming data products of half hour, day, month, and year scales. This data set can provide data support for evaluating the ecological benefits and ecological functions of the artificial rubber forest ecosystem, making major strategic decisions related to emissions reduction, and land use change management.
Keywords: eddy covariance technique; fluxes; carbon-water cycle; meteorological elements; rubber plantations