OPTIMIZATION OF ECOLOGICAL SPATIAL PATTERN OF YANGTZE RIVER AREAS IN JIANGSU PROVINCE

doi:10.13776/j.cnki.resourcesindustries.20250702.005

Abstract

Abstract: Jiangsu's Yangtze River areas bear the most ecological carrying capacity pressure, the biggest conflict between ecological protection and economical activities, and the most urgent ecological restoration. To study ecological spatial pattern optimization in Jiangsu's Yangtze River areas can relieve regional ecological pressure, promote a synergism of ecological protection and economic development, and provide decision supports for ecological civilization construction and high-quality development in Yangtze River economic zone. This paper, taking Jiangsu's counties within 10 km of Yangtze River as the study area, uses their land data as basis, and employs ecological servicing values significance evaluation and ecological sensitivities evaluation to select ecological source areas, and applies the minimum cumulative resistance model to identify ecological corridor, on which ecological spatial pattern of Jiangsu's Yangtze River areas is constructed. Their ecological spatial patterns are optimized at ecological nodes and in ecological corridors, which are evaluated by means of scene connection index before and after optimization. This study identifies 9 ecological source areas and 8 ecological corridors in Jiangsu's Yangtze River area with areas up to 2 937.79 km² and 198.12 km², respectively. 1 ecological floating island and 6 ecological corridors have been added through pattern optimization, forming a complete and systematic ecological spatial pattern. Further connecting ecological space provides path for biological migration, which not only increases its biodiversity, but also reduces scenic fragmentation and decreases regional scene connection. The optimized ecological spaces have higher connection and stability, offering guidelines for sustainable land use and protection of Jiangsu's Yangtze River areas and directions for land use in the middle- and upper-stream of Yangtze River economic zone.

Key words: Yangtze River economic zone, ecological spatial pattern optimization, minimum cumulative resistance model, Jiangsu's Yangtze River areas

摘要： 江苏沿江地区处于长江经济带生态承载压力最大、生态保护与经济活动矛盾最突出、生态修复形势最紧迫的位置，开展江苏沿江地区生态空间格局优化研究，既可以缓解区域生态压力、促进生态保护与经济发展协同共进，也可为长江经济带生态文明建设与高质量发展提供科学依据与决策支持。论文以江苏沿江10 km范围涉及的区县为研究对象，以其范围的土地现状数据为基础数据源，通过生态服务价值重要性评估和生态敏感性评价选取生态源地，运用最小累积阻力模型识别生态廊道，以此构建江苏沿江地区的生态空间格局。在此基础上，围绕生态节点、生态廊道等开展生态空间格局优化，并运用景观连接度指数对优化前后的生态空间加以评价。通过研究，识别出江苏沿江地区生态源地9个、生态廊道8条，面积分别为2 937.79 km²和198.12 km²。然后围绕生态源地、生态廊道开展格局优化，通过增加1个生态跳岛和6条生态廊道，形成了更为完整、系统的生态空间格局。通过进一步连接生境空间，为生物迁移提供了通道，不仅提高了该地区的生物多样性，还有助于降低景观破碎化，提升区域景观连接度。经评价，优化后的生态空间连通性更高、连接更稳固。这为江苏沿江地区国土可持续利用与保护提供了空间指引，也为长江经济带中上游地区的国土利用提供了方法指导。

关键词: 长江经济带, 生态空间格局优化, 最小累积阻力模型；江苏沿江地区

CLC Number:

F205
F207

WANG Zhenshan, LU Jiancheng, SHEN Chunzhu, BU Xinguo. OPTIMIZATION OF ECOLOGICAL SPATIAL PATTERN OF YANGTZE RIVER AREAS IN JIANGSU PROVINCE[J]. Resources & Industries, 2025, 27(4): 119-127.

王振山, 吕剑成, 沈春竹, 卜心国. 江苏沿江地区生态空间格局优化研究[J]. 资源与产业, 2025, 27(4): 119-127.

References

陈琪, 2015. 基于GIS技术的苏南水网密集地区生态空间格局优化研究以苏州吴江区为例[D]. 苏州: 苏州科技学院.〔CHEN Q, 2015. Ecological spatial pattern optimization of SuNan water network-intensive areas based on GIS: a case study of SuZhou WuJiang area[D]. Suzhou: Suzhou University of Science and Technology.〕

冯琰玮, 甄江红, 马晨阳, 2020. 干旱区城市生态安全格局优化研究: 以内蒙古呼和浩特市为例[J]. 水土保持研究, 27(4): 336-341.〔FENG Y W, ZHEN J H, MA C Y, 2020. Analysis of spatial optimization of urban ecological security pattern in arid area: a case study of Hohhot City, Inner Mongolia[J]. Research of Soil and Water Conservation, 27(4): 336-341.〕

高星, 宋昭颖, 李晨曦, 等, 2023. 基于景观生态风险评价的白洋淀流域景观格局优化研究[J]. 生态与农村环境学报, 39(2): 174-183.〔GAO X, SONG Z Y, LI C X, et al., 2023. Landscape pattern optimization in Baiyangdian basin based on landscape ecological risk assessment[J]. Journal of Ecology and Rural Environment, 39(2): 174-183.〕

洪江涛, 李效顺, 魏旭晨, 等, 2021. 基于数据融合的长江经济带城市建成区时空格局研究[J]. 长江流域资源与环境, 30(10): 2325-2335.〔HONG J T, LI X S, WEI X C, et al., 2021. Spatial and temporal pattern of urban built-up areas in the Yangtze River economic belt based on data fusion[J]. Resources and Environment in the Yangtze Basin, 30(10): 2325-2335.〕

金爱博, 张诗阳, 王向荣, 2022. 宁绍平原绿地生态网络时空格局与优化研究[J]. 生态与农村环境学报, 38(11): 1415-1426.〔JIN A B, ZHANG S Y, WANG X R, 2022. Spatial-temporal pattern and optimization of the green space ecological networks in the Ningshao plain[J]. Journal of Ecology and Rural Environment, 38(11): 1415-1426.〕

康洁铭, 刘雨, 朱晓伟, 等, 2020. 胶东半岛生态安全格局识别与优化布局[J]. 生态与农村环境学报, 36(8): 1015-1025.〔KANG J M, LIU Y, ZHU X W, et al, 2020. Identification and optimization of ecological security pattern in Jiaodong Peninsula[J]. Journal of Ecology and Rural Environment, 36(8): 1015-1025.〕

穆博, 李华威, Audrey L M, 等, 2017. 基于遥感和图论的绿地空间演变和连通性研究: 以郑州为例[J]. 生态学报, 37(14): 4883-4895.〔MU B, LI H W, Audrey L, et al., 2017. Dynamic changes of green-space connectivity based on remote sensing and graph theory: a case study in Zhengzhou, China[J]. Acta Ecologica Sinica, 37(14): 4883-4895.〕

丘思程, 胡金龙, 杨淮深, 2024. 基于生态系统服务和生态敏感性评价的漓江流域生态安全格局构建[J]. 西北林学院学报, 39(6): 153-162.〔QIU S C, HU J L, YANG H S, 2024. Construction of ecological security pattern in the Lijiang river basin based on the assessment of ecosystem services and ecological sensitivity[J]. Journal of Northwest Forestry University, 39(6): 153-162.〕

王玉莹, 沈春竹, 金晓斌, 等, 2019. 基于MSPA和MCR模型的江苏省生态网络构建与优化[J]. 生态科学, 38(2): 138-145.〔WANG Y Y, SHEN C Z, JIN X B, et al., 2019. Developing and optimizing ecological networks based on MSPA and MCR model[J]. Ecological Science, 38(2): 138-145.〕

武子豪, 张金懿, 帕茹克·吾斯曼江等, 2022. 县域生态网络构建与优化研究: 以河北省曲周县为例[J]. 中国农业大学学报, 27(7): 221-234.〔WU Z H, ZHANG J Y, WUSIMANJIANG P, et al., 2022. Construction and optimization of county ecological network: a case study of Quzhou county in Hebei Province[J]. Journal of China Agricultural University, 27(7): 221-234.〕

薛明皋, 邢路, 王晓艳, 2018. 中国土地生态系统服务当量因子空间修正及价值评估[J]. 中国土地科学, 32(9): 81-88.〔XUE M G, XING L, WANG X Y, 2018. Spatial correction and evaluation of ecosystem services in China[J]. China Land Science , 32(9): 81-88.〕

叶鑫, 邹长新, 刘国华, 等, 2018. 生态安全格局研究的主要内容与进展[J]. 生态学报, 38(10): 3382-3392.〔YE X, ZOU C X, LIU G H, et al., 2018. Main research contents and advances in the ecological security pattern[J]. Acta Ecologica Sinica, 38(10): 3382-3392.〕

张驭航, 李玲, 王秀丽, 等, 2020. 基于模糊伽马模型的河南省生态空间辨识与格局优化[J]. 水土保持研究, 27(6): 211-217, 225.〔ZHANG Y H, LI L, WANG X L, et al., 2020. Ecological spatial identification and pattern optimization in Henan province based on fuzzy gamma model[J]. Research of Soil and Water Conservation, 27(6): 211-217, 225.〕

周小丹, 胡秀艳, 王君櫹, 等, 2020. 江苏省土地生态网络规划中源地的选取研究[J]. 长江流域资源与环境, 29(8): 1746-1756.〔ZHOU X D, HU X Y, WANG J X et al., 2020. Study on the selection of source sites in the land ecological network planning of Jiangsu Province[J]. Resources and Environment in the Yangtze Basin, 29(8): 1746-1756.〕

ZHAO S M, MA Y F, WANG J L, et al., 2019. Landscape pattern analysis and ecological network planning of Tianjin city[J]. Urban Forestry & Urban Greening, 46: 126479.

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