ORIGINAL RESEARCH
Ecological Sensitivity Assessment of Central Plains Cities Using RS/GIS Technology: A Case Study of the Zheng-Bian-Luo Urban Agglomeration
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1
Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, 999078, China
 
2
Department of Management, Henan Institute of Technology, Xinxiang, 453000, China
 
3
School of Social Sciences, Tsinghua University, Beijing, 100084, China
 
 
Submission date: 2024-04-17
 
 
Final revision date: 2024-05-18
 
 
Acceptance date: 2024-06-22
 
 
Online publication date: 2024-09-18
 
 
Publication date: 2025-06-06
 
 
Corresponding author
Cora Un In Wong   

Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macau
 
 
Pol. J. Environ. Stud. 2025;34(4):4633-4645
 
KEYWORDS
TOPICS
ABSTRACT
Focusing on the Zheng-Bian-Luo urban agglomeration in the Central Plains, this study selected six key indicators: elevation, aspect, slope, land-use type, vegetation coverage, and water buffer zone. The Delphi method, analytic hierarchy process, and weighted overlay were used to conduct a comprehensive ecological sensitivity analysis. The findings indicate that the water buffer zone exerts the most significant influence on the ecological sensitivity of the Zheng-Bian-Luo urban agglomeration, while elevation has the least impact, with respective weights of 0.308 and 0.049. The areas of extremely low and mildly sensitive ecological sensitivity in the Zheng-Bian-Luo urban agglomeration cover approximately 5872.48km2, representing 31.59% of the total. These areas, primarily human-occupied and urbanized, are dispersed and concentrated in the eastern and southeastern coastal regions. The moderately sensitive areas encompass approximately 10,763.64km2, constituting 37.07% of the total area. The area is mainly affected by factors such as terrain, vegetation coverage, aspect, and slope. The overall layout is relatively scattered. Therefore, while moderately developing the area, we must also pay attention to ecological protection and increase vegetation planting on the basis of shrubs. The areas classified as extremely high and highly sensitive encompass approximately 9096.96km2, constituting 31.33% of the total. Primarily situated in water bodies and buffer zones, these areas require a focus on water and soil erosion issues. Overall, there is a consistent spatial distribution pattern showing a gradual decrease from northwest to southeast. Evaluating and analyzing the spatial distribution and extent of the ecological environment in the Zheng-Bian-Luo urban agglomeration provides valuable insights for future environmental protection and urban planning efforts in the region.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
REFERENCES (36)
1.
LI W., WANG Y., XBOXIE S., CHENG X. Coupling coordination analysis and spatiotemporal heterogeneity between urbanization and ecosystem health in Chongqing municipality, China. Science of the Total Environment, 791, 148311, 2021. https://doi.org/10.1016/j.scit... PMid:34412384.
 
2.
YANG Z., ZHAN J., WANG C., TWUMASI-ANKRAH M.J. Coupling coordination analysis and spatiotemporal heterogeneity between sustainable development and ecosystem services in Shanxi Province, China. Science of the Total Environment, 836, 155625, 2022. https://doi.org/10.1016/j.scit... https://doi.org/10.1016/j.scit... https://doi.org/10.1016/j.scit... https://doi.org/10.1016/j.scit....
 
3.
SHI Y., SHI D., ZHOU L., FANG R. Identification of ecosystem services supply and demand areas and simulation of ecosystem service flows in Shanghai. Ecological Indicators, 115, 106418, 2020. https://doi.org/10.1016/j.ecol....
 
4.
GAO J., DU F., ZUO L., JIANG Y. Integrating ecosystem services and rocky desertification into identification of karst ecological security pattern. Landscape Ecology, 36, 2113, 2021. https://doi.org/10.1007/s10980....
 
5.
HU X., MA C., HUANG P., GUO X. Ecological vulnerability assessment based on AHP-PSR method and analysis of its single parameter sensitivity and spatial autocorrelation for ecological protection-A case of Weifang City, China. Ecological Indicators, 125, 107464, 2021. https://doi.org/10.1016/j.ecol....
 
6.
NADEEM M., BAHADAR S., GULL A.A., IQBAL U. Are women eco‐friendly? Board gender diversity and environmental innovation. Business Strategy and the Environment, 29 (8), 3146, 2020. https://doi.org/10.1002/bse.25....
 
7.
LI H., YANG S., SEMENOV M.V., YAO F., YE J., BU R., MA R., LIN J., KURGANOVA I., WANG X. Temperature sensitivity of SOM decomposition is linked with a K-selected microbial community. Global Change Biology, 27 (12), 2763, 2021. https://doi.org/10.1111/gcb.15... PMid:33709545.
 
8.
NUNES G., GIGLIO T. Effects of climate change in the thermal and energy performance of low-income housing in Brazil - assessing design variable sensitivity over the 21st century. Renewable and Sustainable Energy Reviews, 168, 112885, 2022. https://doi.org/10.1016/j.rser....
 
9.
SEIDENFADEN I.K., SONNENBORG T.O., STISEN S., KIDMOSE J. Quantification of climate change sensitivity of shallow and deep groundwater in Denmark. Journal of Hydrology: Regional Studies, 41, 101100, 2022. https://doi.org/10.1016/j.ejrh....
 
10.
KRAEMER B.M., PILLA R.M., WOOLWAY R.I., ANNEVILLE O., BAN S., COLOM-MONTERO W., DEVLIN S.P., DOKULIL M.T., GAISER E.E., HAMBRIGHT K.D. Climate change drives widespread shifts in lake thermal habitat. Nature Climate Change, 11 (6), 521, 2021. https://doi.org/10.1038/s41558....
 
11.
LUO Q., BAO Y., WANG Z., CHEN X., WEI W., FANG Z. Vulnerability assessment of urban remnant mountain ecosystems based on ecological sensitivity and ecosystem services. Ecological Indicators, 151, 110314, 2023. https://doi.org/10.1016/j.ecol....
 
12.
BARABÁS G., PÁSZTOR L., MESZÉNA G., OSTLING A. Sensitivity analysis of coexistence in ecological communities: theory and application. Ecology Letters, 17 (12), 1479, 2014. https://doi.org/10.1111/ele.12... PMid:25252135.
 
13.
VERDY A., CASWELL H. Sensitivity analysis of reactive ecological dynamics. Bulletin of Mathematical Biology, 70, 1634, 2008. https://doi.org/10.1007/s11538... PMid:18404289.
 
14.
BERGENGREN J.C., WALISER D.E., YUNG Y.L. Ecological sensitivity: a biospheric view of climate change. Climatic Change, 107, 433, 2011. https://doi.org/10.1007/s10584....
 
15.
MINGWU Z., HAIJIANG J., DESUO C., CHUNBO J. The comparative study on the ecological sensitivity analysis in Huixian karst wetland, China. Procedia Environmental Sciences, 2, 386, 2010. https://doi.org/10.1016/j.proe....
 
16.
TSOU J.Y., GAO Y., ZHANG Y., SUN G., REN J., LI Y. Evaluating urban land carrying capacity based on the ecological sensitivity analysis: A case study in Hangzhou, China. Remote Sensing, 9 (6), 529, 2017. https://doi.org/10.3390/rs9060....
 
17.
ZHANG Q., ZHANG T. Land consolidation design based on an evaluation of ecological sensitivity. Sustainability, 10 (10), 3736, 2018. https://doi.org/10.3390/su1010....
 
18.
CHEN X., CUI F., WONG C.U.I., ZHANG H., WANG F. An investigation into the response of the soil ecological environment to tourist disturbance in Baligou. PeerJ, 11, e15780, 2023. https://doi.org/10.7717/peerj.... PMid:37671357 PMCid:PMC10476605.
 
19.
CHEN Y., ZHANG T., ZHOU X., LI J., YI G., BIE X., HU J., WEN B. Ecological sensitivity and its driving factors in the area along the Sichuan-Tibet Railway. Environment, Development and Sustainability, 1, 2023. https://doi.org/10.1007/s10668....
 
20.
ZHAO M., WEI J., HAN Y., LI J. Water Cycle Health Assessment Using the Combined Weights and Relative Preference Relationship VIKOR Model: A Case Study in the Zheng-Bian-Luo Region, Henan Province. Water, 15 (12), 2266, 2023. https://doi.org/10.3390/w15122....
 
21.
LIU P., LÜ S., HAN Y., WANG F., TANG L. Comprehensive evaluation on water resources carrying capacity based on water-economy-ecology concept framework and EFAST-cloud model: A case study of Henan Province, China. Ecological Indicators, 143, 109392, 2022. https://doi.org/10.1016/j.ecol....
 
22.
CHEN H.-S., LIU G.-S., YANG Y.-F., YE X.-F., ZHOU S. Comprehensive evaluation of tobacco ecological suitability of Henan Province based on GIS. Agricultural Sciences in China, 9 (4), 583, 2010. https://doi.org/10.1016/S1671-....
 
23.
PAN J., DONG X. GIS, based Assessment and Division on Eco, environmental Sensitivity in the Heihe River Basin. Journal of Natural Resources, 21 (2), 267, 2006.
 
24.
LEMAN N., RAMLI M.F., KHIROTDIN R.P.K. GIS-based integrated evaluation of environmentally sensitive areas (ESAs) for land use planning in Langkawi, Malaysia. Ecological Indicators, 61, 293, 2016. https://doi.org/10.1016/j.ecol... PMCid:PMC10361309.
 
25.
LI A., WANG A., LIANG S., ZHOU W. Ecoenvironmental vulnerability evaluation in mountainous region using remote sensing and GIS-A case study in the upper reaches of Minjiang River, China. Ecological Modelling, 192 (1-2), 175, 2006. https://doi.org/10.1016/j.ecol....
 
26.
CRAMER M.E., MUELLER K.J., HARROP D. Comprehensive evaluation of a community coalition: A case study of environmental tobacco smoke reduction. Public Health Nursing, 20 (6), 464, 2003. https://doi.org/10.1046/j.1525... PMid:14629678.
 
27.
WU D., CHEN D., TANG L., SHAO G. A comprehensive assessment of ecological sensitivity for a coal-fired power plant in Xilingol, Inner Mongolia. International Journal of Sustainable Development & World Ecology, 24 (5), 420, 2017. https://doi.org/10.1080/135045....
 
28.
BOORI M.S., CHOUDHARY K., PARINGER R., KUPRIYANOV A. Spatiotemporal ecological vulnerability analysis with statistical correlation based on satellite remote sensing in Samara, Russia. Journal of Environmental Management, 285, 112138, 2021. https://doi.org/10.1016/j.jenv... PMid:33592451.
 
29.
ZHENG Y., LAN S., CHEN W.Y., CHEN X., XU X., CHEN Y., DONG J. Visual sensitivity versus ecological sensitivity: An application of GIS in urban forest park planning. Urban Forestry & Urban Greening, 41, 139, 2019. https://doi.org/10.1016/j.ufug....
 
30.
XU Y., LIU R., XUE C., XIA Z. Ecological sensitivity evaluation and explanatory power analysis of the Giant Panda National Park in China. Ecological Indicators, 146, 109792, 2023. https://doi.org/10.1016/j.ecol....
 
31.
PENG J., WANG A., LUO L., LIU Y., LI H., HU Y.N., MEERSMANS J., WU J. Spatial identification of conservation priority areas for urban ecological land: An approach based on water ecosystem services. Land Degradation & Development, 30 (6), 683, 2019. https://doi.org/10.1002/ldr.32....
 
32.
LIU Y., WU K., CAO H. Land-use change and its driving factors in Henan province from 1995 to 2015. Arabian Journal of Geosciences, 15 (3), 247, 2022. https://doi.org/10.1007/s12517....
 
33.
GUO P., ZHANG F., WANG H. The response of ecosystem service value to land use change in the middle and lower Yellow River: A case study of the Henan section. Ecological Indicators, 140, 109019, 2022. https://doi.org/10.1016/j.ecol....
 
34.
ZUO Q., LI W., ZHAO H., MA J., HAN C., LUO Z. A harmony-based approach for assessing and regulating human-water relationships: A case study of Henan province in China. Water, 13 (1), 32, 2020. https://doi.org/10.3390/w13010....
 
35.
DOU M., MA J.-X., LI G.-Q., ZUO Q.-T. Measurement and assessment of water resources carrying capacity in Henan Province, China. Water Science and Engineering, 8 (2), 102, 2015. https://doi.org/10.1016/j.wse.....
 
36.
LI J., LI F., LIU Q., SONG S., ZHANG Y., ZHAO G. Impacts of Yellow River irrigation practices on trace metals in surface water: a case study of the Henan-Liaocheng Irrigation Area, China. Human and Ecological Risk Assessment: An International Journal, 20 (4), 1042, 2014. https://doi.org/10.1080/108070....
 
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