Spatio-temporal variation of Fraction of Photosynthetically Active Radiation absorbed by vegetation in the Hengduan Mountains, China Spatio-temporal variation of Fraction of Photosynthetically Active Radiation absorbed by vegetation in the Hengduan Mountains, China

最小化 最大化

Vol18 No.4: 891-906

Title】Spatio-temporal variation of Fraction of Photosynthetically Active Radiation absorbed by vegetation in the Hengduan Mountains, China

Author】YANG Zheng-lan1; ZHANG Ting-bin1,2*; YI Gui-hua3; LI Jing-ji2,4; QIN Yan-bin1; CHEN Yang1

Addresses】1 College of Earth Science, Chengdu University of Technology, Chengdu 610059, China; 2 State Environmental Protection Key Laboratory of Synergetic Control and Joint Remediation for Soil & Water Pollution, Chengdu University of Technology, Chengdu 610059, China; 3 College of Tourism and Urban-Rural Planning, Chengdu University of Technology, Chengdu 610059, China; 4 College of ecological environment, Chengdu University of Technology, Chengdu 610059, China

Corresponding author】ZHANG Ting-bin

Citation】Yang ZL, Zhang TB, Yi GH, et al. (2021) Spatio-temporal variation of Fraction of Photosynthetically Active Radiation absorbed by vegetation in the Hengduan Mountains, China. Journal of Mountain Science 18(4). https://doi.org/10.1007/s11629-020-6465-9

DOI】https://doi.org/10.1007/s11629-020-6465-9

Abstract】The Fraction of Absorbed Photosynthetically Active Radiation (FPAR) is an important indicator of the primary productivity of vegetation. FPAR is often used to estimate the assimilation of carbon dioxide in vegetation. Based on MOD15A2H/FPAR data product, the temporal and spatial variation characteristics and variation trend of FPAR in different vegetation types in 2001 to 2018were analyzed in the Hengduan Mountains. The response of FPAR to climate change was investigated by using Pearson correlation analytical method andpartial least squares regression analysis. Results showed that the FPAR in Hengduan Mountains presented an increasing trend with time. Spatially, it washigh in the south and low in the north, and it also showed obvious vertical zonalityby elevation gradient. The vegetation FPAR was found to be positively correlated with air temperature and sunshine duration but negatively correlated with precipitation. Partial least squares regression analysis showed that the influence of sunshine duration on vegetation FPAR in Hengduan Mountains was stronger than that of air temperature and precipitation.

Keywords】FPAR; Climate change; Correlation analysis; Partial least squares regression analysis (PLS); Hengduan Mountains