文献类型：期刊文献

英文题名：Carbon storage-driven multi-objective spatial planning: simulation and practice at the management unit level in Northeast China

作者：Lu, Jun[1] Zhang, Hao[2]

第一作者：卢军

通信作者：Zhang, H[1]

机构：[1]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing, Peoples R China;[2]Northeast Forestry Univ, Harbin, Peoples R China

年份：2024

卷号：7

外文期刊名：FRONTIERS IN FORESTS AND GLOBAL CHANGE

收录：;Scopus(收录号：2-s2.0-85199989286);WOS:【SCI-EXPANDED(收录号:WOS:001282300200001)】；

基金：The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research was funded by National Key R&D Program of China (Grant no. 2022YFD2200502).

语种：英文

外文关键词：decision-support system; spatial forest planning; multi-objective forest management; carbon management; carbon storage

摘要：In recent years, global attention to forest ecological environment, carbon, wood yield, and biodiversity has been increasing, which requires forest managers to make reasonable forest planning in time and space to meet the needs of multi-objectives and multi-resources. In this study, the resources of business units in Northeast China were analyzed, and the FPS-ATLAS model was established. A multi-objective decision supporting spatial forest planning scheme for 16629.53 ha of forest in Jingouling forest farm of Wangqing Forestry Bureau in Jilin Province was proposed. In this paper, the volume growth model of six forest types was established, and the carbon storage model was introduced to show the total carbon, biomass carbon, dissolved organic carbon, and total soil carbon of the ecosystem. The dynamic change in carbon during the whole planning period has achieved good results. After 20 time periods, the total soil carbon increased to 7,627,208 Mg (+6.63%), the total ecosystem carbon increased to 14,889,876 Mg (+27.51%), the biomass carbon increased to 5,362,779 Mg (+59.70%), and the dissolved organic carbon increased to 9,531,906 Mg (+14.59%). The purpose of this article is to achieve dynamic management of forest resources, meet multiple constraint settings, achieve multiple management objectives, harvest wood products, and ensure the ecological and social functions of forests so that forests ultimately achieve the ideal state of sustainability.