Ecological Quality Assessment of Megacities and Response to Land Use Change: A Case Study of Wuhan

FENG Yan, MA Hao-yan

Journal of Changjiang River Scientific Research Institute ›› 2026, Vol. 43 ›› Issue (3) : 88-97.

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Journal of Changjiang River Scientific Research Institute ›› 2026, Vol. 43 ›› Issue (3) : 88-97. DOI: 10.11988/ckyyb.20250105
Soil and Water Conservation and Ecological Restoration

Ecological Quality Assessment of Megacities and Response to Land Use Change: A Case Study of Wuhan

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Abstract

[Objective] This study aims to conduct a scientific and objective dynamic assessment of ecological quality in megacities to monitor the spatiotemporal changes and to analyze the effects of land use transition on ecological quality, thereby providing insights and recommendations for addressing the safety and ecological issues arising from spatial expansion and spatial factor aggregation in megacities. [Methods] We selected the urban area of Wuhan, Hubei Province, which was newly designated as a megacity in 2022, as the research subject. First, we collected Landsat remote sensing images, digital elevation model (DEM), land use data, and other required datasets from reliable online scientific repositories. Subsequently, the remote sensing ecological index (RSEI) method was applied to systematically process and analyze the remote sensing images to extract the spatiotemporal dynamics of urban ecological quality. Second, Moran’s I was used to perform spatial autocorrelation analysis of the RSEI results to quantify the spatial dependence and clustering characteristics of ecological environment changes, enabling the identification of hotspots and coldspots of ecological quality changes. Finally, ecological quality changes were spatially coupled with land use change data using spatial overlay analysis and statistical correlation methods to derive the quantitative relationship between spatiotemporal changes in ecological quality and land use transition processes. [Results] (1) During the study period, Wuhan’s overall ecological quality exhibited a fluctuating upward trend, with the mean value increasing from 0.57 in 2014 to 0.63 in 2023. The improvement was most pronounced from 2014 to 2017, when the mean RSEI rose from 0.57 to 0.64. (2) Moran’s I for Wuhan’s ecological quality was 0.32, and the “high-high” clusters in the local spatial autocorrelation analysis exhibited spatial continuity, indicating that the ecological quality of Wuhan showed a pronounced spatial clustering pattern. (3) Ecological degradation was mainly concentrated on the periphery of the central urban area, indicating that construction expansion in Wuhan contributed to an overall decline in ecological quality. Meanwhile, ecological quality improved along the shorelines at the confluence of the Yangtze River and the Han River and around wetlands such as East Lake and Liangzi Lake, demonstrating the effectiveness of Wuhan’s ecological restoration initiatives. (4) Analysis of ecological quality changes across land use types further showed that disparities within Wuhan’s built environment widened during the study period. Specifically, the gap in ecological quality between construction land and cultivated land increased from 0.34 in 2014 to 0.38 in 2023, suggesting that the ecological cost of converting cultivated land to construction land increased. [Conclusion] (1) Wuhan’s riverbank and wetland restoration activities have a significant positive impact on ecological quality improvement. Therefore, future efforts should continue to promote ecological governance initiatives such as landscape enhancement in urban renewal areas, riverbank protection, and wetland conservation. (2) In subsequent ecological governance, Wuhan should, while following socioeconomic development, consider the spatial agglomeration characteristics of regional ecological quality changes and adopt region-specific measures for hotspots with sharp ecological degradation, such as appropriate artificial restoration and landscape enhancement. (3) From the perspective of ecological quality advancement, Wuhan, as a megacity, should place greater emphasis on intensive urban development by slowing its expansion pace in line with socioeconomic needs and promoting the ecological renewal of existing urban built-up spaces to improve the ecological quality of human settlements. (4) The data indicate a significant ecological quality gap between cultivated land, forest land, and other ecological spaces and construction land. Therefore, Wuhan should strengthen the supervision and protection of cultivated land and forest land during urban construction and development to mitigate substantial ecological losses arising from land transition.

Key words

remote sensing ecological index / ecological quality assessment / Wuhan / land use change / megacity

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FENG Yan , MA Hao-yan. Ecological Quality Assessment of Megacities and Response to Land Use Change: A Case Study of Wuhan[J]. Journal of Changjiang River Scientific Research Institute. 2026, 43(3): 88-97 https://doi.org/10.11988/ckyyb.20250105

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Abstract
遥感生态指数(RSEI)自提出以来,已得到广泛的应用。近年来,也有学者对其进行了修改。研究基于主成分变换的机理和应用实例,分析了修改的遥感生态指数(MRSEI)的合理性及其与RSEI的区别。结果表明:MRSEI指数将不具生态含义的第二主成分和第三主成分加入具有明确生态含义的第一主成分进行加权求和计算,其结果不仅降低了第一主成分的占比,无法增加原RSEI的信息量,而且还导致各主成分分量互相干扰,造成MRSEI结果的低估或高估。因此,这一修改缺乏合理性。研究同时还对用户在计算RSEI指数中碰到的一些问题进行分析。RSEI在使用中应注意采用植物生长季节的地表反射率数据;当研究区有大面积水体时,必须对水体进行掩膜;而只有当对生态起正面影响的绿度(NDVI)和湿度(Wet)指标在PC1的载荷为负值时,才必须进行“1 – PC1”的还原运算。
(XU Han-qiu, DENG Wen-hui. Rationality Analysis of MRSEI Index and Its Difference from RSEI Index[J]. Remote Sensing Technology and Application, 2022, 37 (1): 1-7. (in Chinese))
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李红星, 黄解军, 梁友嘉, 等. 基于遥感生态指数的武汉市生态环境质量评估[J]. 云南大学学报(自然科学版), 2020, 42(1):81-90.
(LI Hong-xing, HUANG Jie-jun, LIANG You-jia, et al. Ecological Environment Quality Assessment of Wuhan City Based on Remote Sensing Ecological Index[J]. Journal of Yunnan University (Natural Sciences Edition), 2020, 42(1): 81-90. (in Chinese))
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陈伟, 何蕾, 金梦旖. 共治视角下生态保护与利用的规划探索及实践:以武汉市为例[J]. 城乡规划, 2024(2):75-84.
(CHEN Wei, HE Lei, JIN Meng-yi. Exploration and Practice of Ecological Protection and[J]. Urban & Rural Planning, 2024(2): 75-84. (in Chinese))
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赵曦. 新冠疫情对房地产市场的外部性冲击实证分析与评价[J]. 中国房地产, 2022(17): 33-42.
(ZHAO Xi. Empirical Analysis and Evaluation of the External Impact of COVID-19 on the Real Estate Market[J]. Real Estate Economy, 2022(17): 33-42. (in Chinese))
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余馨云. 创建国家生态园林城市背景下的武汉城市道路绿化提升策略及实践[J]. 现代园艺, 2024, 47(20):168-170,173.
(YU Xin-yun. Strategies and Practices for Improving Urban Road Greening in Wuhan under the Background of Creating a National Ecological Garden City[J]. Contemporary Horticulture, 2024, 47(20): 168-170, 173.(in Chinese))
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常晋. 《武汉宣言》引领全球湿地保护[J]. 生态经济, 2023, 39 (1): 9-12.
(CHANG Jin. The Wuhan Declaration Leads Global Wetland Conservation[J]. Ecological Economy, 2023, 39 (1): 9-12. (in Chinese))
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敬丽莉, 贺晨静, 廖俊雯. 武汉东湖高新区建设用地扩张时空演变特征研究[C]// 2024中国城市规划年会. 合肥:中国城市规划学会, 2024.
(JINGLi-li, HEChen-jing, LIAO Jun-wen. Research on the Spatiotemporal Evolution Characteristics of Construction Land Expansion in Wuhan Donghu High Tech Zone[C]// Beautiful China, Co-construction, Co-governance and Sharing:Proceedings of the 2024 China Urban Planning Annual Conference. Hefei: Urban Planning Society of China, 2024. (in Chinese))
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梁芳源, 李鹏, 程维金, 等. 武汉城市湿地景观格局及生态系统服务功能演变轨迹与驱动机制[J]. 环境工程, 2023, 41(1):105-111.
(LIANG Fang-yuan, LI Peng, CHENG Wei-jin, et al. Evolution Trajectory and Driving Mechanism of Urban Wetland Landscape Pattern and Ecosystem Service Function in Wuhan[J]. Environmental Engineering, 2023, 41(1): 105-111. (in Chinese))
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赵玉枭, 肖谋良, 崔鑫涛, 等. 非粮化耕地土壤健康评价: 以浙江省宁波市东吴镇为例[J]. 应用生态学报, 2024, 35(10): 2785-2793.
Abstract
耕地非粮化利用对农田土壤生态和土壤健康造成威胁,制约了粮食生产。为明确非粮化利用下耕地土壤关键障碍因子,探讨其土壤质量和土壤功能的变化,综合评估非粮化利用对农田土壤健康状况的影响,本研究采用土壤质量指数法和土壤多功能性指数法结合敏感性、抗性指标,对不同非粮化利用方式下(蔬菜、竹林-空茬、苗木-撂荒、苗木-水稻)耕地土壤健康进行评价。结果表明: 竹林-空茬处理下土壤有机碳和全氮(TN)分别为蔬菜、苗木-撂荒、苗木-水稻处理的95.3%、66.7%、65.7%和82.6%、57.0%、59.5%。蔬菜土壤电导率为其他非粮化耕地土壤的2.2~2.5倍;全磷和硝态氮分别为其他非粮化耕地土壤的1.8~2.0和3.5~5.5倍。不同非粮化利用方式中,蔬菜处理的土壤质量指数和土壤多功能性指数均为最高,与之相比,竹子-空茬(50.2%和22.7%)、苗木-撂荒(38.3%和14.4%)和苗木-水稻处理(27.7%和8.5%)的土壤质量指数和多功能性指数均显著下降。随机森林模型分析发现,有效钾和有效氮(AN)是影响土壤质量指数的关键因子之一,TN和与土壤碳循环相关的纤维素酶和木聚糖酶活性是影响土壤多功能性指数的关键因子之一。此外,有效磷、AN、TN和酶活性是非粮化耕地土壤变化较敏感的指标。本研究通过综合评价非粮化耕地土壤质量,明确了关键障碍因子,可为非粮化耕地土壤健康培育和可持续利用提供理论基础。
(ZHAO Yu-xiao, XIAO Mou-liang, CUI Xin-tao, et al. Soil Health Evaluation of Non-grain Cultivated Land:A Case Study of Dongwu Town, Ningbo City, Zhejiang Province, China[J]. Chinese Journal of Applied Ecology, 2024, 35(10): 2785-2793. (in Chinese))
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杨昕晨, 袁满, 黄亚平, 等. 武汉都市圈制造业空间格局特征及演化机制分析[J]. 世界地理研究, 2025, 34(7):1-15.
(YANG Xin-chen, YUAN Man, HUANG Yaping, et al. Analysis of the Spatial Pattern and Impact Mechanism of Manufacturing Production in Wuhan Metropolitan Area[J]. World Regional Studies, 2025, 34(7): 1-15. (in Chinese))
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方运霆, 刘冬伟, 段伊行, 等. 气候变暖对森林生态系统碳汇功能的影响:机制、方法和主要进展[J]. 生态学杂志, 2024, 43(9):2551-2565.
(FANG Yun-ting, LIU Dong-wei, DUAN Yi-xing, et al. Effects of Climate Warming on Carbon Sink of Forest Ecosystems: Mechanisms, Methods, and Progresses[J]. Chinese Journal of Ecology, 2024, 43(9):2551-2565. (in Chinese))
Forests are important carbon sinks, absorbing about 33% of the carbon dioxide released from fossil fuel combustion each year. Since 1850, global temperature has increased by 1.1 ℃, and in the future, global temperatures are likely to rise to 2.7-4.8 ℃. However, there are controversies over the direction, degree, and mechanisms of the impact of global warming on forest carbon sequestration, which seriously affects the prediction of future global climate change and the policy-making of government carbon emission control. This article summarizes the mechanisms, research methods, and main progresses of the impact of global warming on the carbon sink capacity and processes of forest ecosystems. In addition, we propose future priority research areas.<br><div> <br></div>
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