Wu Jianping, Li Wenjie, Du Hongbo, Wan Yu, Yang Shengfa, Xiao Yi
Key Laboratory of Ministry of Education for Hydraulic and Water Transport Engineering, Chongqing Jiaotong University, Chongqing, 400074, People's Republic of China.
National Inland Waterway Regulation Engineering Technology Research Center, Chongqing Jiaotong University, Chongqing, 400074, People's Republic of China.
Sci Rep. 2025 Feb 26;15(1):6940. doi: 10.1038/s41598-025-92084-8.
The intensification of land use and climate change threatens watershed sustainability. These external disturbances drive complex interactions among components within watershed socio-ecological systems (SESs). Understanding how SESs respond to these changes is crucial for developing effective integrated watershed management strategies. Nevertheless, the nonlinear responses of these systems to such changes remain poorly understood. To fill this gap, this study proposes a network analysis method focusing on the Yangtze River Basin to construct an SES network comprising six dimensions, revealing the response of coupled relationships among network elements to climate and land-use change. The results showed that changes in land-use dynamics (LUD) and the standardized precipitation evapotranspiration index (SPEI) altered the link count and importance of network nodes, with notable shifts in vegetation and landscape nodes. Importantly, a strong nonlinear response of the LUD and SPEI to the coupled relationship between SES elements was observed, and critical thresholds were identified for all network attributes. Furthermore, compared to the SPEI threshold, the LUD threshold was stable at 0.24, demonstrating stronger robustness. This study provides a new perspective for understanding watershed SESs, and has important implications for sustainable ecosystem management and planning.
土地利用的强化和气候变化威胁着流域的可持续性。这些外部干扰推动了流域社会生态系统(SESs)各组成部分之间的复杂相互作用。了解SESs如何应对这些变化对于制定有效的综合流域管理策略至关重要。然而,这些系统对这种变化的非线性响应仍然知之甚少。为了填补这一空白,本研究提出了一种以长江流域为重点的网络分析方法,构建了一个包含六个维度的SES网络,揭示了网络元素之间耦合关系对气候和土地利用变化的响应。结果表明,土地利用动态(LUD)和标准化降水蒸散指数(SPEI)的变化改变了网络节点的链接数量和重要性,植被和景观节点发生了显著变化。重要的是,观察到LUD和SPEI对SES元素之间耦合关系有强烈的非线性响应,并确定了所有网络属性的临界阈值。此外,与SPEI阈值相比,LUD阈值稳定在0.24,显示出更强的稳健性。本研究为理解流域SESs提供了新的视角,对可持续生态系统管理和规划具有重要意义。