Publications

Ai, JL; Qi, XW; Zhang, RS; He, MY; Li, JY; Xu, RH; Li, YP; Sarmah, S; Wang, H; Zhao, JF (2023). A novel approach for ecosystem respiration simulation in drylands. FRONTIERS IN ECOLOGY AND EVOLUTION, 11, 1186272.

Abstract
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.

DOI:
10.3389/fevo.2023.1186272

ISSN: