Prioritizing climate action maximizes synergies among global environmental SDGs: A causal network analysis
文献类型：期刊论文
| 作者 | Huan, Yizhong2,3; Wu, Fei2,3,4; Li, Xiaoyun2,3; Wang, Jing5; Su, Yiming1,4,6; Lan, Yang7,8; Kong, Feng2; Gao, Jixi9; Zhao, Wenwu10,11; Wang, Lingqing4,5 |
| 刊名 | APPLIED GEOGRAPHY
 |
| 出版日期 | 2026-04-01 |
| 卷号 | 189页码:103938 |
| 关键词 | Sustainable development Environmental governance Causal interaction Network analysis Machine learning Resilience |
| ISSN号 | 0143-6228 |
| DOI | 10.1016/j.apgeog.2026.103938 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Environmental Sustainable Development Goals (SDGs) interact with each other and with socio-economic SDGs in complex ways, involving both positive and negative influences of varying strength. Understanding these interactions is critical for identifying transformative actions that reduce trade-offs, enhance synergies, and accelerate progress toward environmental sustainability. However, the causal interactions remain underexplored, and priorities for coordinated governance actions are still unclear. This study assessed the weighted and directed interactions of 40 environmental targets within the SDG system based on expert elicitation. By using complex network analysis, we systematically analyzed the causal network, focusing on node-level importance, macro-level causal structure, edge vulnerability under multiple scenarios, and latent linkages. Our findings indicate that prioritizing target 13.1 (strengthen capacity to climate-related hazards) could be highly effective. Coordinated action between climate adaptation and marine ecosystem conservation can accelerate overall environmental progress. Furthermore, causal links along multiple shortest paths serve as critical bridges that sustain network resilience; targeted interventions on these links can amplify synergies and reduce trade-offs. Out of 2107 latent causal links predicted, six strongest positive interactions, primarily related to climate policy and forest management, stand out as potential focal points for environmental governance. This study offers new valuable insights for global environmental sustainability governance and supports progress toward achieving the 2030 Agenda. |
| URL标识 | 查看原文 |
| WOS关键词 | ENERGY |
| WOS研究方向 | Geography |
| 语种 | 英语 |
| WOS记录号 | WOS:001690933500001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/220985]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Liang, Tao; Zhou, Guangjin |
| 作者单位 | 1.Sino Danish Ctr Educ & Res, Beijing, Peoples R China; 2.China Agr Univ, Coll Humanities & Dev Studies, Beijing, Peoples R China; 3.China Agr Univ, Coll Int Dev & Global Agr, Beijing, Peoples R China; 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China; 5.Univ Chinese Acad Sci, Beijing, Peoples R China; 6.Univ Chinese Acad Sci, Sino Danish Coll, Beijing, Peoples R China; 7.Beihang Univ, Sch Econ & Management, Beijing, Peoples R China; 8.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Nat Resource Coupling Proc & Effects, Minist Nat Resources, Beijing, Peoples R China; 9.Minist Ecol & Environm, Satellite Applicat Ctr Ecol & Environm, Beijing, Peoples R China; 10.Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Huan, Yizhong,Wu, Fei,Li, Xiaoyun,et al. Prioritizing climate action maximizes synergies among global environmental SDGs: A causal network analysis[J]. APPLIED GEOGRAPHY,2026,189:103938. |
| APA | Huan, Yizhong.,Wu, Fei.,Li, Xiaoyun.,Wang, Jing.,Su, Yiming.,...&Zhou, Guangjin.(2026).Prioritizing climate action maximizes synergies among global environmental SDGs: A causal network analysis.APPLIED GEOGRAPHY,189,103938. |
| MLA | Huan, Yizhong,et al."Prioritizing climate action maximizes synergies among global environmental SDGs: A causal network analysis".APPLIED GEOGRAPHY 189(2026):103938. |
入库方式： OAI收割
来源：地理科学与资源研究所
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