Nonlinear relationship and threshold-based zones between ecosystem service supply-demand ratio and land use intensity: A case study of the Beijing-Tianjin-Hebei region, China
文献类型：期刊论文
| 作者 | Yang, Mingying1,3; Chen, Yufu1,3; Yang, Yuanyuan2; Yan, Yuxing1,3 |
| 刊名 | JOURNAL OF CLEANER PRODUCTION
 |
| 出版日期 | 2024-11-25 |
| 卷号 | 481页码:144148 |
| 关键词 | Ecosystem services Land use intensity Supply-demand ratio Zoning control Threshold-based zones |
| DOI | 10.1016/j.jclepro.2024.144148 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Achieving the United Nations' Sustainable Development Goals requires a healthy ecological environment, which is fundamental to human well-being. Although ecosystem services (ESs) exhibit a close relationship with land use intensity (LUI), most studies examining this relationship focus on the aspect of ESs supply. There is still sparse research on understanding this relationship from the perspective of ecosystem service supply-demand ratio (ESSDR) that can reflect ESs supply-demand equilibrium state. Particularly, the nonlinear interaction and threshold between ESSDR and LUI remain underexplored. To address the research gap, this study quantified ESSDR and LUI in the Beijing-Tianjin-Hebei region (BTH) of China, and identified their nonlinear relationship and threshold using the constraint line and the restricted cubic spline method. Results revealed the following findings: (1) During 2000-2020, the supply-demand ratios of grain production (GP-SDR), carbon sequestration (CS-SDR), and habitat quality (HQ-SDR) decreased, whereas supply-demand ratios of water yield (WY-SDR) and leisure recreation (LR-SDR) increased. (2) The average LUI increased slightly from 2.91 in 2000 to 3.02 in 2020, with areas of high LUI clustered in southeastern central urban areas, illustrating a core-edge distribution pattern. (3) ESSDR and LUI displayed complex nonlinear relationships, with the constraint lines showing inverted Ushaped between WY-SDR, GP-SDR, and LUI, steep descent curves between CS-SDR, HQ-SDR, and LUI, and Ushaped between LR-SDR and LUI, respectively. Certain thresholds were observed, such as GP-SDR dropping notably as LUI exceeded 3.5, while LR-SDR increased around LUI 3.7. Finally, the BTH region was divided into core control areas, general control areas, and maintenance areas based on identified thresholds, with tailored suggestions being provided to facilitate human-environment coordination within different threshold areas. This study can deepen the comprehension of the intricate interplay between ESSDR and LUI, and offer scientific reference for sustainable land use management and eco-environment conservation. |
| WOS关键词 | BIODIVERSITY ; IMPACTS |
| WOS研究方向 | Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology |
| WOS记录号 | WOS:001355033400001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/209491]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 通讯作者 | Yang, Yuanyuan |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China 2.Renmin Univ China, Sch Publ Adm & Policy, Beijing 100872, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Mingying,Chen, Yufu,Yang, Yuanyuan,et al. Nonlinear relationship and threshold-based zones between ecosystem service supply-demand ratio and land use intensity: A case study of the Beijing-Tianjin-Hebei region, China[J]. JOURNAL OF CLEANER PRODUCTION,2024,481:144148. |
| APA | Yang, Mingying,Chen, Yufu,Yang, Yuanyuan,&Yan, Yuxing.(2024).Nonlinear relationship and threshold-based zones between ecosystem service supply-demand ratio and land use intensity: A case study of the Beijing-Tianjin-Hebei region, China.JOURNAL OF CLEANER PRODUCTION,481,144148. |
| MLA | Yang, Mingying,et al."Nonlinear relationship and threshold-based zones between ecosystem service supply-demand ratio and land use intensity: A case study of the Beijing-Tianjin-Hebei region, China".JOURNAL OF CLEANER PRODUCTION 481(2024):144148. |
入库方式： OAI收割
来源：地理科学与资源研究所
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