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Scientia Silvae Sinicae ›› 2018, Vol. 54 ›› Issue (2): 10-17.doi: 10.11707/j.1001-7488.20180202

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A New Method of Valuating the Ecological Service of Temperature Regulation of Forests in Shangdon Province Based on MODIS LST Products

Feng Haiying, Feng Zhongke   

  1. Precision Forestry Key Laboratory of Beijing, Beijing Forest University Beijing 100083
  • Received:2016-10-08 Revised:2018-01-10 Online:2018-02-25 Published:2018-03-30

Abstract: [Objective] This paper intends to provide a new method of quantitative evaluation of forest ecosystem service of temperature regulation. This method builds up value calculation of insulation in winter and provides a basis for correct understanding and quantitative assessment of forest ecological service value.[Method] The forests in Shandong Province were studied using MODIS derived LST (land surface temperature)product, land cover product to calculate the energy convert to temperature difference of atmosphere near the ground between forest and other surface type to evaluate the service value of temperature regulation function of forest.[Result] The result showed that the effect of regulating temperature by forest mainly behavior during the daytime instead of night. The cooling function in summer is more significant than heat preservation function in winter. The total value of temperature regulation function of daytime in summer and winter of 2012 was about 100.4 billion RMB in Shandong Province. The value product in summer by cooling function is about 10 times in winter which product by heat preservation function.[Conclusion] The new method to calculate forest ecosystem service of temperature regulation based on thermal infrared remote sensing and energy balance can calculate the value of temperature regulation of forest in any period. This method makes up the calculation of forest heat preservation in winter and takes the spatial differentiation into consideration. This method has significant implications for quantitative assessment of forest ecosystem service value and function of ecological service.

Key words: thermal infrared remote sensing, snergy balance model, temperature regulation, ecological service value, value assessment

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