Spatiotemporal change patterns and driving factors of land surface temperature in the Yunnan-Kweichow Plateau from 2000 to 2020

Zhi-Wei He; Bo-Hui Tang

doi:10.1016/j.scitotenv.2023.165288

Spatiotemporal change patterns and driving factors of land surface temperature in the Yunnan-Kweichow Plateau from 2000 to 2020

Sci Total Environ. 2023 Oct 20:896:165288. doi: 10.1016/j.scitotenv.2023.165288. Epub 2023 Jul 3.

Authors

Zhi-Wei He¹, Bo-Hui Tang²

Affiliations

¹ Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China; Key Laboratory of Plateau Remote Sensing, Department of Education of Yunnan Province, Kunming, China.
² Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China; Key Laboratory of Plateau Remote Sensing, Department of Education of Yunnan Province, Kunming, China; State Key Lab of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China. Electronic address: tangbh@kust.edu.cn.

PMID: 37406700
DOI: 10.1016/j.scitotenv.2023.165288

Abstract

In this study, the spatiotemporal change patterns and driving factors of land surface temperature (LST) on the Yunnan-Kweichow Plateau (YKP) during 2000-2020 are investigated by using the Thermal and Reanalysis Integrating Moderate-resolution Spatial-seamless (TRIMS) LST dataset provided by National Tibetan Plateau Data Center. The YKP LST spatiotemporal change patterns are revealed at annual, seasonal, monthly, and daily scales. Furthermore, seven driving factors such as air temperature, land cover types, normalized difference vegetation index, precipitation, solar radiation, elevation, and latitude are quantified the impacts on LST spatial heterogeneity at annual scale. The main findings are as follows: (1) Annual mean LST increases by 0.016 K/year. Annual mean daytime LST slightly decreases by 0.009 K/year. Annual mean nighttime LST significantly increases by 0.042 K/year. (2) The trend and seasonal components of the daily, daily mean daytime, and daily mean nighttime LST have five and four breakpoints respectively, indicating that the variation of LST is unstable during 2000-2020 on the YKP. (3) The LST lapse rates at nighttime are generally higher than those at daytime on the YKP at the annual, seasonal, and monthly scales. The LST maximum lapse rate is 0.59 K/100 m in summer nighttime, and the LST minimum lapse rate is 0.18 K/100 m in winter daytime. (4) The controlling effects of seven factors are generally stronger in the nighttime than those in the daytime. The factors of elevation and air temperature dominate the LST spatial distribution on the YKP, with a contribution rate of >70 %. In addition, the interactions among the seven factors are all enhancing the effects on the spatial distribution of annual mean LST, including bivariate enhancement and nonlinear enhancement. This study contributes to the mitigation and adaptation to climate change of LST in the plateau and plays a theoretical reference role in formulating corresponding policies for environmental protection.

Keywords: Driving factors; Land surface temperature (LST); Spatiotemporal change patterns; Time-series analysis; Yunnan-Kweichow Plateau (YKP).