文献类型：期刊文献

英文题名：Evaluating Forest Ecosystem Services in the Greater Khingan Mountains Area Using Remote Sensing

作者：Gao, Ting[1,2] Gao, Zhihai[1,2] Sun, Bin[1,2] Liu, Hao[1,2] Wu, Zhitao[3]

第一作者：Gao, Ting

通信作者：Sun, B[1];Sun, B[2]

机构：[1]Chinese Acad Forestry, Inst Forest Resource Informat Tech, 2 Dongxiaofu, Beijing 100091, Peoples R China;[2]NFGA, Key Lab Forestry Remote Sensing & Informat Syst, 2 Dongxiaofu, Beijing 100091, Peoples R China;[3]Shanxi Univ, Inst Loess Plateau, Taiyuan 030006, Peoples R China

年份：2024

卷号：10

外文期刊名：ECOSYSTEM HEALTH AND SUSTAINABILITY

收录：;Scopus(收录号：2-s2.0-85187128182);WOS:【SCI-EXPANDED(收录号:WOS:001221750800001)】；

基金：This research was funded by the Fundamental Research Funds for the Central Non-profit Research Institution of CAF, grant number "CAFYBB2019ZB004"; the National Science and Technology Major Project of China's High Resolution Earth Observation System, grant number "21-Y30B02-9001-19/22-3"; the ESA-MOST China Dragon 5 Cooperation, grant number "59313"; and the special fund for Science and Technology Innovation Teams of Shanxi Province, grant number "202204051001010".

语种：英文

摘要：Evaluating forest ecosystem services (FES) is crucial for comprehensively recognizing forest value and for formulating targeted forest management plans. However, hurdles persist in traditional FES evaluations that are based on conventional data (e.g., statistical yearbooks and survey data), such as a coarse evaluation scale and difficulty in formulating refined and spatially continuous evaluation results. Forest canopy cover, canopy height, and forest aboveground biomass (AGB) are the core fundamental inputs of a robust FES evaluation. Their accuracy and degree of refinement will influence the final evaluation results obtained. To overcome the above issues, this study first explored accurate estimation methods for all 3 parameters above and then evaluated FES multidimensionally, by using these results combined with other remote sensing products and applying various principles and algorithms. Our results show that a high estimation accuracy (>80%) of the 3 key parameters is achievable for coniferous to broad-leaved forest stands and that FES evaluation results are obtainable with a high resolution and spatial continuity. The service functions, such as nutrient retention, carbon sequestration and oxygen release, and product supply are stronger while others relatively are weaker. It is worth noting that carbon storage by the AGB carbon pool surpasses that of other carbon pools. Finally, the potential of FES varies according to forest type. Compared with broad-leaved forest, coniferous forest has a greater capacity for product supply, windbreak, and sand fixation services. This study offers a methodological reference for the formulation of policies related to the paid use of FES.