文献类型：期刊文献

英文题名：An Analysis of Spatial Variation in Human Impact on Forest Ecological Functions

作者：Wu, Qingjun[1,2] Fu, Liyong[3] Sharma, Ram P.[4] Dou, Yaquan[1] Zhao, Xiaodi[1,5]

第一作者：Wu, Qingjun

通信作者：Zhao, XD[1];Zhao, XD[2]

机构：[1]Chinese Acad Forestry, Res Inst Forestry Policy & Informat, Beijing 100091, Peoples R China;[2]China Agr Univ, Coll Econ & Management, Beijing 100083, Peoples R China;[3]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[4]Tribhuvan Univ, Inst Forestry, Kathmandu 44600, Nepal;[5]Univ British Columbia, Fac Forestry, Vancouver, BC V6T 1Z4, Canada

年份：2025

卷号：15

期号：9

外文期刊名：APPLIED SCIENCES-BASEL

收录：;EI(收录号：20252018429605);Scopus(收录号：2-s2.0-105005027941);WOS:【SCI-EXPANDED(收录号:WOS:001485987200001)】；

基金：This work was supported by the Fundamental Research Funds of Chinese Academy of Forestry (grant number CAFYBB2023MB019); China Scholarship Council (grant number 202203270009); and the Fundamental Research Funds of Chinese Academy of Forestry (grant number CAFYBB2023PA006-02).

语种：英文

外文关键词：forest ecological function; human activities; spatial correlation; geographically weighted regression

摘要：As the cornerstone of terrestrial ecosystems, forests have faced mounting challenges due to escalating human activities, jeopardizing their vital ecological functions and even their existence. It has become an important issue to explore how to promote harmonious coexistence of man and nature, or even to improve the forest ecological function (FEF) through human activities. Thus, in this study, we select the Yellow River Basin (YRB) in China as a typical region. Firstly, we assess the FEF at the county level and reveal their spatial distribution and agglomeration characteristics on the basis of the data from the Ninth National Forest Inventory of China. Then, using multiple linear regression (MLR) and geographically weighted regression (GWR) modeling, we further explore the overall impacts of different human activities on FEF and their spatial differences, respectively. Our findings underscored a moderate deficiency in the county-level FEF in the YRB, with pronounced positive spatial agglomerations. The high-high areas are primarily clustered in the southern and central mountainous areas, whereas low-low areas are distributed in the upstream warm temperate steppe and desert-grassland regions. Human activities exert substantial impacts on FEF, with distinct spatial heterogeneity in the coefficient and significance levels. The trend analysis indicates that FEF is more sensitive to the increase in living land, population density and forest protection in the east-west direction. And in the north-south direction, FEF is more easily affected by agricultural development, population growth and urbanization. This study verifies that natural factors dominate FEF in those regions where human activities are quite scarce, and also reveals that due to the inter-constraint or counteract effects among different human activities, FEF may still ultimately depend on the natural endowments in some populated regions. We point out the core human activity factors affecting FEF after excluding the interference from natural conditions. And we recommend that policymakers prioritize sustainable development strategies that mitigate the adverse impacts of human activities on forest ecosystems while promoting conservation efforts tailored to the unique characteristics of each region.