Study on Urban Landscape Ecological Risk Measurement and the Influencing Factors in the Yellow River Delta

LI Jianchun; ZHOU Xiaoyu; LI Huilin; WANG Yuting; YUAN Wenhua

doi:10.13870/j.cnki.stbcxb.2025.01.003

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Study on Urban Landscape Ecological Risk Measurement and the Influencing Factors in the Yellow River Delta

更新时间：2025-03-14

- Study on Urban Landscape Ecological Risk Measurement and the Influencing Factors in the Yellow River Delta
- Vol. 39, Issue 1, Pages: 262-273(2025)
- 作者机构：
  
  山东师范大学商学院,济南,250358
- 作者简介：
- 基金信息：
- DOI：10.13870/j.cnki.stbcxb.2025.01.003
  CLC： F301.2
- Published：2025
- 稿件说明：
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LI Jianchun, ZHOU Xiaoyu, LI Huilin, et al. Study on Urban Landscape Ecological Risk Measurement and the Influencing Factors in the Yellow River Delta[J]. 2025, 39(1): 262-273.
DOI：

LI Jianchun, ZHOU Xiaoyu, LI Huilin, et al. Study on Urban Landscape Ecological Risk Measurement and the Influencing Factors in the Yellow River Delta[J]. 2025, 39(1): 262-273. DOI： 10.13870/j.cnki.stbcxb.2025.01.003.

摘要

目的黄河三角洲作为典型生态脆弱区，其景观生态风险受多重因素影响，表现尤为突出。系统认知景观风险不仅是优化景观格局的基础，更是有效应对生态风险的关键。方法以黄河三角洲典型城市东营市为研究区，构建生态系统服务价值和“胁迫度-脆弱度-韧性”的景观生态受损概率评估框架。采用ESDA和地理探测器模型，从网格尺度探究城市景观生态风险的空间异质性及影响因素。结果1) 东营市景观生态风险平均值为0.15，呈北部东部高、中偏西南低的空间格局。生态系统服务价值约为3 175.99亿元，低于当年GDP，经济发展表现为不可持续增长，呈由北部、东部沿海向西南部逐步递减的空间格局。生态受损概率为0.43，呈北部东部高低交错、中偏西南较为均衡的空间格局。2)景观生态风险呈显著的空间集聚特征，全局Moran's I指数为0.747。高高风险区主要集中在东营市北部和东部沿海，占风险区面积的32.48%。3)东营市景观生态风险主要受社会经济基础和环境区位条件影响。在全市范围内，海岸线距离是主导因素，决定度为0.43；在城镇区域，人口密度为主导因素，决定度为0.38。结论研究不仅在理论上丰富景观生态风险评估方法，也为黄河三角洲生态保护和风险管理提供实证支持。

Abstract

ObjectiveThe Yellow River Delta

a typical ecological fragile area

faces prominent landscape ecological risk (LER) due to multiple factors. Systematic understanding of landscape risk is crucial for optimizing landscape patterns and effectively addressing ecological challenges.MethodsTaking Dongying

a typical city of the Yellow River Delta

as the study area to construct an assessment framework

which consists of two parts

one containing the ecosystem service value and the other the probability of landscape ecological damage in terms of 'stress-vulnerability-resilience'. The ESDA and Geographic detector were used to explore the spatial heterogeneity and influencing factors of LER at the grid scale.Results1) The average value of LER in Dongying was 0.15

generally showed a spatial pattern of high in the north and east

and low in the middle and southwest. The total value of ecosystem services was about 3 175.99 billion yuan

Which was lower than the GDP of that year

and the economic growth was unsustainable. The ecosystem service value showed a pattern of gradual diminution from the north and eastern coast to the southwest part. The probability of ecological damage was 0.43

showing a pattern of staggered distribution of high and low in the north and east

relatively balanced in the center and southwest. 2) The LER showed a significant clustering in spatial distribution

with a global Moran's I index of 0.747. In terms of agglomeration zoning

the HH risk agglomeration area accounted for 32.48% of the area of the risk zone

which was mainly distributed in the continuous distribution zone formed by the coastal zone in the north and east of Dongying. 3) The LER of Dongying was mainly dominated by factors of socio-economic foundation and environmental location conditions. In the citywide area

the determinant degree of coastline distance was 0.43

which was the primary factor dominating the urban LER. In contrast

in the urban area

the determinant degreee of population density was 0.38

which was the primary factor influencing the urban LER.ConclusionsThis study enriches the LER assessment method theoretically

and provides an empirical support for ecological protection and risk management in the Yellow River Delta.

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references

DENG M Y, WEI X L, ZHANG G J. Research on the coordinated evaluation relationship between new urbanization and green development in China[J]. Journal of Natural Resources, 2024, 39(7): 1682-1697. 邓毛颖, 韦晓莉, 张国俊. 中国新型城镇化与绿色发展协调演进关系研究[J]. 自然资源学报, 2024, 39(7): 1682-1697.

PENG J, DANG W X, LIU Y X, et al. Review on landscape ecological risk assessment[J]. Acta Geographica Sinica, 2015, 70(4): 664-677. 彭建, 党威雄, 刘焱序, 等. 景观生态风险评价研究进展与展望[J]. 地理学报, 2015, 70(4): 664-677.

NI Q L, HOU H P, DING Z Y, et al. Ecological reme diation zoning of territory based on the ecological security pattern recognition: Taking Jiawang district of Xuzhou city as an example[J]. Journal of Natural Resources, 2020, 35(1): 204-216. 倪庆琳, 侯湖平, 丁忠义, 等. 基于生态安全格局识别的国土空间生态修复分区: 以徐州市贾汪区为例[J]. 自然资源学报, 2020, 35(1): 204-216.

XU X G, LIN H P, FU Z Y, et al. Regional ecological risk assessment of wetland in the Huanghe River delta[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2001, 37(1): 121-127. 许学工, 林辉平, 付在毅, 等. 黄河三角洲湿地区域生态风险评价[J]. 北京大学学报: 自然科学版, 2001, 37(1): 121-127.

YU Y N, ZHU J, WU S H, et al. Assessment of land ecological risks driven by multi-sources: A case study of Sheyang County, Jiangsu Province[J]. Journal of Natural Resources, 2016, 31(8): 1264-1274. 虞燕娜, 朱江, 吴绍华, 等. 多风险源驱动下的土地生态风险评价: 以江苏省射阳县为例[J]. 自然资源学报, 2016, 31(8): 1264-1274.

WU J, ZHU Q, QIAO N, et al. Ecological risk assessment of coal mine area based on"source-sink"landscape theory: A case study of Pingshuo mining area[J]. Journal of Cleaner Production, 2021, 295: e126371.

HU Y F, GAO G. Framework and practice of urban landscape ecological risk assessment: A case study of the Tiantan region in Beijing[J]. Acta Ecologica Sinica, 2020, 40(21): 7805-7815. 胡云锋, 高戈. 城市景观生态风险评估框架与实践: 以北京天坛地区为例[J]. 生态学报, 2020, 40(21): 7805-7815.

KAPUSTKA L A, GALBRAITH H, LUXON B M, et al. Using landscape ecology to focus ecological risk assessment and guide risk management decision-making[J]. Toxicology and Industrial Health, 2001, 17(5-10): 236-246.

LANDIS W G, WIEGERS J A. Design considerations and a suggested approach for regional and comparative ecological risk assessment[J]. Human and Ecological Risk Assessment, 1997, 3(3): 287-297.

MA S, LIANG X Y, LIU D, et al. Multi-scale landscape ecological risk assessment in ecologically fragile regions: A case study in Gaoqu Town in Mizhi County, Shaanxi Province[J]. Chinese Journal of Ecology, 2018, 37(10): 3171-3178. 马胜, 梁小英, 刘迪, 等. 生态脆弱区多尺度景观生态风险评价: 以陕西省米脂县高渠乡为例[J]. 生态学杂志, 2018, 37(10): 3171-3178.

YUAN Y, FANG G H, LU C X, et al. Flood risk assessment under the background of urbanization based on landscape ecology[J]. Acta Geographica Sinica, 2020, 75(9): 1921-1933. 袁玉, 方国华, 陆承璇, 等. 基于景观生态学的城市化背景下洪灾风险评估[J]. 地理学报, 2020, 75(9): 1921-1933.

HAGENLOCHER M, RENAUD F G, HAAS S, et al. Vulnerability and risk of deltaic social-ecological systems exposed to multiple hazards[J]. The Science of the Total Environment, 2018, 631/632: 71-80.

ANDERSON C, RENAUD F, HAGENLOCHER M, et al. Assessing multi-hazard vulnerability and dynamic coastal flood risk in the Mississippi delta: the global delta risk index as a social-ecological systems approach[J]. Water, 2021, 13(4): e577.

XU X G. Study on evaluation and pre-warning of ecological environment in the Yellow River Delta[J]. Journal of Ecology, 1996(5): 460-468. 许学工. 黄河三角洲生态环境的评估和预警研究[J]. 生态学报, 1996(5): 460-468.

LIANG J L, CHEN W X, LI J F, et al. Spatiotemporal patterns of landscape fragmentation and causes in the Yellow River Basin[J]. Journal of Ecology, 2022, 42(5): 1993-2009. 梁加乐, 陈万旭, 李江风, 等. 黄河流域景观破碎化时空特征及其成因探测[J]. 生态学报, 2022, 42(5): 1993-2009.

YU F W, FANG L. Issues regarding the ecological protection and high-quality development of Yellow River Basin[J]. Soft Science of China, 2020(6): 85-95. 于法稳, 方兰. 黄河流域生态保护和高质量发展的若干问题[J]. 中国软科学, 2020(6): 85-95.

LIU X C, LI X S, JIANG D M. Landscape pattern identification and ecological risk assessment using land-use change in the Yellow River Basin[J]. Journal of Agricultural Engineering, 2021, 37(4): 265-274. 刘希朝, 李效顺, 蒋冬梅. 基于土地利用变化的黄河流域景观格局及生态风险评估[J]. 农业工程学报, 2021, 37(4): 265-274.

Statistics Bureau of Dongying City. Doingying statistical year book[M]. Beijing: China Statistics Press, 2021. 东营市统计局. 东营市统计年鉴[M]. 北京: 中国统计出版社, 2021.

FU B J, ZHOU G Y, BAI Y F, et al. The main terrestrial ecosystem services and ecological security in China[J]. Advances in Earth Science, 2009, 24(6): 571-576. 傅伯杰, 周国逸, 白永飞, 等. 中国主要陆地生态系统服务功能与生态安全[J]. 地球科学进展, 2009, 24(6): 571-576.

XIE G D, ZHANG C X, ZHANG C S, et al. The value of ecosystem services in China[J]. Resources Science, 2015, 37(9): 1740-1746. 谢高地, 张彩霞, 张昌顺, 等. 中国生态系统服务的价值[J]. 资源科学, 2015, 37(9): 1740-1746.

CHEN R, YANG C, YANG Y, et al. Spatio-temporal evolution and drivers of ecosystem service value in the Dongting Lake eco-economic zone, China[J]. Journal of Applied Ecology, 2022, 33(1): 169-179. 陈睿, 杨灿, 杨艳, 等. 洞庭湖生态经济区生态系统服务价值的时空演绎及其驱动因素[J]. 应用生态学报, 2022, 33(1): 169-179.

ZHAI P X, LI F X, QIU X Q, et al. Assessment on Spatial-temporal evolution of landscape ecological risk in the Yangtze River Delta[J]. Research on Soil and Water Conservation, 2023, 30(4): 245-255. 翟培秀, 李飞雪, 邱小倩, 等. 长三角地区景观生态风险时空演变评估[J]. 水土保持研究, 2023, 30(4): 245-255.

CAO Q W, ZHANG X W, MA H K, et al. Review of landscape ecological risk and an assessment framework based on ecological services: Esrisk[J]. Acta Geographica Sinica, 2018, 73(5): 843-855. 曹祺文, 张曦文, 马洪坤, 等. 景观生态风险研究进展及基于生态系统服务的评价框架: ESRISK[J]. 地理学报, 2018, 73(5): 843-855.

MA X Y, PEI T. Exploratory spatial data analysis of regional economic disparities in Beijing[J]. Progress in Geography, 2010, 29(12): 1555-1561. 马晓熠, 裴韬. 基于探索性空间数据分析方法的北京市区域经济差异[J]. 地理科学进展, 2010, 29(12): 1555-1561.

ZHENG K J, LI C, WU Y M, et al. Temporal and spatial variation of landscape ecological risk and influential factors in Yunnan border mountainous area[J]. Journal of Ecology, 2022, 42(18): 7458-7469. 郑可君, 李琛, 吴映梅, 等. 云南边境山区景观生态风险时空演变及其影响因素[J]. 生态学报, 2022, 42(18): 7458-7469.

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