文献类型：期刊文献

英文题名：Understanding scale effects and differentiation mechanisms of ecosystem services tradeoffs and synergies relationship: A case study of the Lishui River Basin, China

作者：Zeng, Suping[1,2] Jiang, Chunqian[1] Bai, Yanfeng[1] Wang, Hui[1] Liu, En[1] Guo, Lina[1] Chen, Shiyou[1] Zhang, Jie[1]

第一作者：曾素平

通信作者：Jiang, CQ[1]

机构：[1]Chinese Acad Forestry, Res Inst Forestry, Beijing 100091, Peoples R China;[2]Chinese Acad Forestry, Expt Ctr Subtrop Forestry, Xinyu 336600, Peoples R China

年份：2024

卷号：167

外文期刊名：ECOLOGICAL INDICATORS

收录：;EI(收录号：20243917097182);Scopus(收录号：2-s2.0-85204647602);WOS:【SCI-EXPANDED(收录号:WOS:001325252300001)】；

基金：Funding This work was supported by the National Key Research and Devel-opment Program (No. 2022YFF1303000) .

语种：英文

外文关键词：Ecosystem services; Scale effect; Tradeoff and synergy; Driving factor; Lishui River Basin

摘要：Understanding the scale effect of relationships among ecosystem services (ESs) and the factors influencing these relationships, is vital for sustainable management of ESs. Previous research has focused less on multiple scale units, and the driving mechanisms behind ESs interactions remain unclear. Therefore, in this study, we assessed the spatial distribution of water yield (WY), water purification (WP), and soil conservation (SC) across four spatial scales (3 km x 3 km grid, 5 km x 5 km grid, sub-watershed, and county scales) in the Lishui River Basin of China during 2020. Using the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model, geographical weighted regression, and Pearson correlation analysis, we examined tradeoffs and synergies among these ESs at various scales. Additionally, we employed a geographic detector to analyze the reactions and scale effects among these tradeoffs/synergies and social-ecological factors. Our findings revealed the following: (1) Significant spatial heterogeneity in ESs was observed in the basin. The WY decreased from west (2511.65 mm) to east (890.06 mm), with high WP values concentrated in the eastern part, and high SC values (8.30 x 10(5) t/hm(2)) found in densely forested and grassland areas surrounding water bodies. Forested and cultivated lands were key contributors to ESs in the basin. (2) Across the four investigated scales, tradeoffs or synergies between the same ESs becoming more pronounced as the scale increased. Notably, most ES relationships displayed their strongest synergies at the county scale, with certain spatial areas demonstrating change in interaction directions. (3) The explanatory power of single- or double-factor interactions increased with scale. ESs interactions were found to be closely linked to climatic factors, as well as topographic features (including slope gradient and elevation), with precipitation exhibiting relatively high explanatory power. The interaction of natural and social factors significantly outweighed the combined interaction of dual social factors. This indicated that socio-ecological factors, especially climate and topography, jointly influenced the intensity and direction of ES tradeoffs/synergies. Scale effects arose from the "peak cutting and valley filling" phenomenon during scale transitions. These insights hold significant value for guiding hierarchical management strategies for regional ESs and informing decisions regarding resource allocation.