Open AccessSpatio-temporal assessing of natural vegetation regulation on SO2 absorption coupling ecosystem process model and OMI satellite data
Author(s) -
Fen Zhao,
Peng Yang,
Renqiang Li,
Hua Shang,
Xia Lang,
Mengmeng Hu,
Ming Xu
Publication year - 2022
Publication title -
environmental research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.37
H-Index - 124
ISSN - 1748-9326
DOI - 10.1088/1748-9326/ac5691
Subject(s) - ecosystem , environmental science , biome , atmospheric sciences , absorption (acoustics) , leaf area index , vegetation (pathology) , canopy conductance , satellite , canopy , ecology , climatology , biology , photosynthesis , physics , botany , geology , medicine , transpiration , pathology , astronomy , vapour pressure deficit , acoustics
Quantifying the contribution of natural ecosystems on air quality regulation can help to lay the foundation for ecological construction, and to promote the sustainable development of natural ecosystems. To identify the spatio-temporal dynamic changes of natural vegetation regulation on SO 2 absorption and the underlying mechanism of these changes in Qinghai Province, an important ecological barrier and the unique natural ecosystems, the Biome-BGC model was improved to simulate the canopy conductance to SO 2 and leaf area index (LAI) on the daily scale, and then the SO 2 absorption by vegetation was estimated coupling SO 2 concentration from satellite data. Our results showed that the annual average SO 2 absorption of the natural ecosystems in Qinghai Province was 4.74 × 10 4 tons yr −1 from 2005 to 2018, accounting for about 40% of the total emissions. Spatially, the ecosystem service of SO 2 absorption gradually decreased from southeast to northwest, and varied from 0 in Haixi state to 14.37 kg SO 2 ha −1 yr −1 in Haibei state. The annual average SO 2 absorption in unit area was 0.68 kg SO 2 ha −1 yr −1 , and significantly higher SO 2 absorption was observed in summer with 0.45 kg SO 2 ha −1 quarterly. The canopy conductance and LAI controlled by climate variables would be the dominant driving factors for the variation of SO 2 absorption for natural ecosystems. The sensitivity analysis showed that SO 2 concentration contributed more to the uncertainties of SO 2 absorption than the conductance in this study. Our results could provide powerful supports for realistic eco-environmental policy and decision making.