| 鄱阳湖流域生态系统健康时空演变及区域内联系响应 |
| 摘要点击 260 全文点击 7 投稿时间：2025-04-09 修订日期：2025-06-11 |
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| 中文关键词 生态系统健康 “水-能-粮”视角 VORS模型 耦合协调度模型 引力模型 社会网络分析 鄱阳湖流域 |
| 英文关键词 ecosystem healthy water-energy-food nexus perspective VORS framework coupling harmonious degree model gravity model social network analysis Poyang Lake Basin |
| DOI 10.13227/j.hjkx.202504104 |
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| 中文摘要 |
| 分析大湖流域生态系统健康时空演变特征，揭示流域内各区域生态系统健康耦合协调程度的联系响应，对大湖流域生态文明建设和可持续发展有着重要意义. 从“水-能-粮”视角出发，集成VORS模型与耦合协调度模型，以多源数据为基础，对鄱阳湖流域2000~2020年生态系统健康时空演变特征进行分析，通过构建引力模型网络，探索各区域生态联动的空间响应. 结果表明：①“水-能-粮”视角下鄱阳湖流域生态系统健康的重心在2020年转移到了北部地区，其平均值表现有所下降. ②2020年鄱阳湖流域内各区域的VORS耦合协调度空间格局呈现北部优于南部的态势，但南昌市稳定处于轻度失调状态. ③2000~2020年间鄱阳湖流域内各区域的生态联系紧密水平呈现先下降再上升的状态，总体增长了0.02，中部城市中心性水平较优，南昌市中心性水平不突出但仍为较优水平，赣州市最差. 研究结果可以为大湖流域生态系统健康和水-能-粮协调发展提供参考依据. |
| 英文摘要 |
| Analyzing the spatiotemporal evolution characteristics of ecosystem health in Jiangxi Province and revealing the interconnected responses of coupling coordination degrees among urban ecosystems hold significant implications for regional ecological civilization construction and sustainable development. From the perspective of “water-energy-food，” this study integrates the VORS model with a coupling coordination degree model， utilizing multi-source data to analyze the spatiotemporal evolution characteristics of ecosystem health in Jiangxi Province from 2000 to 2020. By constructing a gravity model network， it explores the spatial responses of ecological linkages within the region. The results indicate： ① From the “water-energy-food” perspective， the center of ecosystem health in Poyang Lake Basin shifted to the northern region by 2020， with its average value showing a decline. ② The spatial pattern of VORS coupling coordination degree within the Poyang Lake Basin in 2020 demonstrated superior performance in northern areas compared to that in southern regions， though Nanchang City remained consistently in a state of mild imbalance. ③ Between 2000 and 2020， the ecological connectivity intensity within the basin initially decreased before rising， with an overall increase of 0.02. Central cities exhibited relatively better centrality levels， while Nanchang City maintained moderate centrality despite not being outstanding， and Ganzhou City demonstrated the poorest performance. These findings provide valuable references for coordinating ecosystem health and water-energy-food nexus development in river basins. |
