A novel approach for ecosystem respiration simulation in drylands

Frontiers in Ecology and Evolution

Ecology and Evolution

Sangeeta Sarmah¹  Jingyang Li²  Ronghan Xu³  Xiaowen Qi⁴  Jinlong Ai⁵  Rensen Zhang⁵  Mingye He⁵  Huan Wang⁵  Junfang Zhao⁶  Yapeng Li⁷ 

[1] Assam State Disaster Management Authority (ASDMA), Dispur, Assam, India;College of Science, George Mason University, Fairfax, VA, United States;Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center (National Center for Space Weather), China Meteorological Administration, Beijing, China;Innovation Center for FengYun Meteorological Satellite (FYSIC), Beijing, China;School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China;School of Modern Agriculture, Yiyang Vocational and Technical College, Yiyang, Hunan, China;State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China;State Key Laboratory of Space-Ground Integrated Information Technology, Beijing Institute of Satellite Information Engineering, Beijing, China;

关键词: terrestrial ecosystem respiration;    remote sensing;    drylands;    FLUXNET;    simulation;   

DOI  :  10.3389/fevo.2023.1186272

 received in 2023-03-14, accepted in 2023-09-07,  发布年份 2023

来源: Frontiers

【 摘 要 】

Terrestrial ecosystem respiration (Reco) in drylands (arid and semi-arid areas) contributes to the largest uncertainty of the global carbon cycle. Here, using the Reco data from 24 sites (98 site-years) in drylands from Fluxnet and corresponding MODIS remote sensing products, we develop a novel semi-empirical, yet physiologically-based remote sensing model: the ILEP_Reco model (a Reco model derived from ILEP, the acronym for “integrated LE and EVI proxy”). This model can simulate Reco observations across most biomes in drylands with a small margin of error (R2 = 0.56, RMSE = 1.12 gCm−2d−1, EF = 0.46, MBE = −0.06 gCm−2d−1) and performs significantly better than the previous model: Ensemble_all. The seasonal variation of Reco in drylands can be well simulated by the ILEP_Reco model. When we relate ILEP to the Q10 model, the corresponding ILEP_Q10 values in all 98 site-years distribute quite convergently, which greatly facilitates fixing the ILEP_Q10 value as a constant in different site-years. The spatial variation of Reco in drylands is then defined as reference respiration at the annual mean ILEP, which can be easily and powerfully simulated by the ILEP_Reco model. These results help us understand the spatial-temporal variations of Reco in drylands and thus will shed light on the carbon budget on a regional scale, or even a global one.

【 授权许可】

Unknown   
Copyright © 2023 Ai, Qi, Zhang, He, Li, Xu, Li, Sarmah, Wang and Zhao