Publications

Hu, L; Wang, ZS; Huang, M; Sun, HF; Wang, QY (2023). A remote sensing based method for assessing the impact of O3 on the net primary productivity of terrestrial ecosystems in China. FRONTIERS IN ENVIRONMENTAL SCIENCE, 11, 1112874.

Abstract
O-3 pollution in China has been increasing in recent years, but the process of O-3 impact on net primary productivity of terrestrial ecosystems remains unclear. We attempts to explore a remote sensing-based method to assess the impact of O-3 on NPP of China's terrestrial ecosystems by combining MODIS NPP and the latest ground observation data of O-3 concentration. By comparing the NPP data of MODIS image pixels with the 6-year average AOT40 data of corresponding pixels, we extracted the signal data that highlighted the effects of O-3 on NPP and established the response relationships between AOT40 and NPP. It was found that NPP was significantly negatively correlated with AOT40 in farmland and grassland ecosystems in China (farmland: r = 0.8674, p < 0.003, grassland: r = 0.7181, p < 0.03). Then the response relationships were adopted to evaluate the effect in China in 2014. The results showed that the estimated percentage of O-3-induced NPP decline was in the range of 5%-35%. Among them, the most significant declines were found in farmland ecosystems, with the vast majority of declines in 10%-35%. The decrease rate of evergreen coniferous forests ranked second, mostly in the range of 15%-20%. The grassland ecosystems declined at a lower rate, almost between 5% and 15%. And the evergreen broad-leaved forests has the lowest decline rate, most distributed in 0%-5%. The highest percentage decreases were mainly found in the Beijing-Tianjin-Hebei region and Shandong Province. And the decline rate of farmland ecosystems was significantly higher than other ecosystem types.

DOI:
10.3389/fenvs.2023.1112874

ISSN:
2296-665X