Published December 28, 2022 | Version v1
Dataset Open

Data underlying publication: Ambient precipitation determines the sensitivity of soil respiration to precipitation treatments in a marsh

  • 1. lixingeformal@126.com
  • 2. 1585395769@qq.com
  • 3. xjchu@yic.ac.cn
  • 4. mingliangzhao@yic.ac.cn
  • 5. sywei@yic.ac.cn
  • 6. wmsong@yic.ac.cn
  • 7. pgli@yic.ac.cn
  • 8. xiaojiewang@yic.ac.cn
  • 9. gxhan@yic.ac.cn

Description

This dataset contains ambient climate data, soil three-parameter data, vegetation biomass data, soil respiration and its autotrophic and heterotrophic components collected from 2016-2021 in a field precipitation changes experiment established at the Yellow River Delta Ecological Experiment Station of the Chinese Academy of Sciences.

 

This study aims to investigate whether ambient climate affects the sensitivity of soil respiration to long-term precipitation treatments and the underlying mechanisms. Briefly, the relationship between net radiation, air temperature and annual precipitation in the ambient climate and the sensitivity of soil respiration to precipitation treatments was investigated to explore if the ambient climate affects the sensitivity of soil respiration to long-term precipitation treatments. The mechanism underlying the above results was also explored through the relationship between the sensitivity of soil and vegetation factors and the sensitivity of soil respiration to precipitation treatments.

 

For the process of data collection: first, soil temperature was collected using soil sensors. Soil moisture and soil conductivity data. Secondly, aboveground biomass and belowground biomass data of vegetation were collected using the harvesting method. Finally, soil respiration and its autotrophic and heterotrophic components data were collected using LI-8100 and LI-7810 infrared gas analyzers (Li-Cor, Inc., Lincoln, NE, USA).

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