4.7 Article

Effects of Forest Changes on Summer Surface Temperature in Changbai Mountain, China

Journal

FORESTS
Volume 12, Issue 11, Pages -

Publisher

MDPI
DOI: 10.3390/f12111551

Keywords

forest; vegetation coverage; climate change; surface temperature; Changbai Mountain

Categories

Funding

  1. National Key Research and Development Program of China
  2. National Natural Science Foundation of China
  3. Natural Science Foundation of Jilin Province
  4. Youth Innovation Promotion Association, Chinese Academy of Sciences
  5. Key Research Program of Frontier Sciences, Chinese Academy of Sciences

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The area and vegetation coverage of forests in Changbai Mountain of China have increased in recent years, leading to a cooling effect on the summer temperature mainly by increasing latent heat flux.
The area and vegetation coverage of forests in Changbai Mountain of China have changed significantly during the past decades. Understanding the effects of forests and forest coverage change on regional climate is important for predicting climate change in Changbai Mountain. Based on the satellite-derived land surface temperature (LST), albedo, evapotranspiration, leaf area index, and land-use data, this study analyzed the influences of forests and forest coverage changes on summer LST in Changbai Mountain. Results showed that the area and vegetation coverage of forests increased in Changbai Mountain from 2003 to 2017. Compared with open land, forests could decrease the summer daytime LST (LSTD) and nighttime LST (LSTN) by 1.10 & DEG;C and 0.07 & DEG;C, respectively. The increase in forest coverage could decrease the summer LSTD and LSTN by 0.66 & DEG;C and 0.04 & DEG;C, respectively. The forests and increasing forest coverage had cooling effects on summer temperature, mainly by decreasing daytime temperature in Changbai Mountain. The daytime cooling effect is mainly related to the increased latent heat flux caused by increasing evapotranspiration. Our results suggest that the effects of forest coverage change on climate should be considered in climate models for accurately simulating regional climate change in Changbai Mountain of China.

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