The evolution process of ecological vulnerability and its quantitative analysis of influencing factors: a case study of Longdong area.
Ecological vulnerability
Evolution process
Influencing factors
Longdong area
Relevance analysis
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
Apr 2023
Apr 2023
Historique:
received:
12
09
2022
accepted:
23
01
2023
medline:
24
4
2023
pubmed:
23
2
2023
entrez:
22
2
2023
Statut:
ppublish
Résumé
Ecological vulnerability is the main index to evaluate areal environmental stability and monitor the development of ecological environment. Longdong area is a typical Loess Plateau area with complex terrain, serious soil erosion, mineral resource development, and other human activities leading to the ecological vulnerability evolution of the area, but the monitoring of its ecological status and the determination of its factors are still lacking. Based on the ecological characteristics of Longdong area, this study constructed an ecological vulnerability system including natural, social, and economic data and used the fuzzy analytic hierarchy process (FAHP) to study the temporal and spatial evolution of ecological vulnerability from 2006 to 2018. A model for quantitative analysis of the evolution of ecological vulnerability and correlation of influencing factors was ultimately developed. The results showed that (1) from 2006 to 2018, the ecological vulnerability index (EVI) had a minimum value of 0.232 and a maximum value of 0.695. EVI was high in the northeast and southwest of Longdong area and low in the central region. (2) At the same time, the areas of potential vulnerability and mild vulnerability increased, and the areas of slight vulnerability, moderate vulnerability, and severe vulnerability decreased. (3) The correlation coefficient between average annual temperature and EVI exceeded 0.5 in four years, and the correlation coefficient between population density and per capita arable land area and EVI exceeded 0.5 in two years showed significant correlation. The results reflect the spatial pattern and influencing factors of ecological vulnerability in typical arid areas of northern China. Additionally, it served as a resource for researching the interrelationships of the variables affecting ecological vulnerability.
Identifiants
pubmed: 36809629
doi: 10.1007/s11356-023-25583-8
pii: 10.1007/s11356-023-25583-8
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
51464-51490Subventions
Organisme : Key Science and Technology Program of Shaanxi Province
ID : 2022JQ-282
Organisme : National Natural Science Foundation of China
ID : 42007415
Informations de copyright
© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Références
Ayhan MB (2013) A fuzzy AHP approach for supplier selection problem: a case study in a gear motor company. International Journal of Managing Value and Supply Chains 4(3):11–23
Bennett NJ et al (2016) Communities and change in the anthropocene: understanding social-ecological vulnerability and planning adaptations to multiple interacting exposures. Reg Environ Change 16(4):907–926
Cao S, Chen L, Liu Z (2007) Disharmony between society and environmental carrying capacity: a historical review, with an emphasis on China. AMBIO: J Hum Environ 36(5):409–415
Chen MF, Tzeng GH, Ding CG (2008) Combining fuzzy AHP with MDS in identifying the preference similarity of alternatives. Appl Soft Comput 8(1):110–117
Chen Y et al (2022) An overview of ecological vulnerability: a bibliometric analysis based on the Web of Science database. Environ Sci Pollut Res Int 29(9):1–13
Ding Q et al (2018) Temporal and spatial distributions of ecological vulnerability under the influence of natural and anthropogenic factors in an eco-province under construction in China. Sustain 10(9):3087–3087
Fang W et al (2019) Probabilistic assessment of remote sensing-based terrestrial vegetation vulnerability to drought stress of the Loess Plateau in China. Remote Sens Environ 232(12):111290–111290
Geng Y, Maimaituerxun M, Zhang H (2022) Coordinated interactions between economy and atmospheric environment: temporal–spatial comparisons from China. Environ Dev Sustain 1–30
Gumus AT, Yayla AY, Çelik E, Yildiz A (2013) A combined fuzzy-AHP and fuzzy-GRA methodology for hydrogen energy storage method selection in Turkey. Energies 6(6):3017–3032
Haeri A, Iranmanesh SH (2017) Using classification techniques to recognize patterns of resource utilization in organizations. Proc Inst Mech Eng, Part B: J Eng Manuf 231(3):523–539
Hashim JH, Hashim Z (2016) Climate change, extreme weather events, and human health implications in the Asia Pacific region. Asia Pac J Public Health 28(2_suppl):8S-14S
Hou K, Li X, Zhang J (2015) GIS analysis of changes in ecological vulnerability using a SPCA model in the Loess plateau of Northern Shaanxi, China. Int J Environ Res Public Health 12(4):4292–4305
Huang J et al (2020) Global desertification vulnerability to climate change and human activities. Land Degrad Dev 31(11):1380–1391
Kang H et al (2018) A feasible method for the division of ecological vulnerability and its driving forces in Southern Shaanxi. J Clean Prod 205:619–628
Ke Z, Xia Q (2019) Study on coordination development of ecological-environment and economy based on coupling model: a case study of Wuhan city. Fresenius Environ Bull 28(5):4007–4012
Li W, Lu C (2015) Aridity trend and response to vegetation restoration in the loess hilly region of northern Shaanxi Province. J Geog Sci 25(3):289–300
Li W et al (2020) Ecological vulnerability evaluation of Nyingchi city based on landscape pattern. Bangladesh J Bot 49(3):743–755
Liao X, Li W, Hou J (2013) Application of GIS based ecological vulnerability evaluation in environmental impact assessmentof master plan of coal mining area. Procedia Environ Sci 18:271–276
Acosta-Michlik LA et al (2008) Application of fuzzy models to assess susceptibility to droughts from a socio-economic perspective. Reg Environ Chang 8(4):151–160
Liu D et al (2017) Using fuzzy analytic hierarchy process for spatio-temporal analysis of eco-environmental vulnerability change during 1990–2010 in Sanjiangyuan region, China. Ecol Ind 73:612–625
Liu G, Wang J, Li S, Li J, Duan P (2019) Dynamic evaluation of ecological vulnerability in a lake watershed based on RS and GIS technology. Pol J Environ Stud 28:1785–1798
Liu Di et al (2020) Spatiotemporal evolution of landscape ecological risk based on geomorphological regionalization during 1980–2017: a case study of Shaanxi Province, China. Sustain 12(3):941
Liu Y et al (2020) Variability in regional ecological vulnerability: a case study of Sichuan Province, China. Int J Disaster Risk Sci 11:1–13
Luo J, Wei YD (2009) Modeling spatial variations of urban growth patterns in Chinese cities: the case of Nanjing. Landsc Urban Plan 91(2):51–64
Lv X et al (2019) Drivers of spatio-temporal ecological vulnerability in an arid, coal mining region in Western China. Ecol Ind 106:105475–105475
McDowell G, Ford J, Jones J (2016) Community-level climate change vulnerability research: trends, progress, and future directions. Environ Res Lett 11(3):033001
Muttarak R (2021) Demographic perspectives in research on global environmental change. Popul Stud 75(S1):77–104
Nguyen AK, Liou YA, Li MH, Tran TA (2016) Zoning eco-environmental vulnerability for environmental management and protection. Ecol Ind 69:100–117
Park YS, Chon TS, Kwak IS, Lek S (2004) Hierarchical community classification and assessment of aquatic ecosystems using artificial neural networks. Sci Total Environ 327(1–3):105–122
Peduzzi P (2019) The disaster risk, global change, and sustainability nexus. Sustain 11(4):957
Pei H, Fang S, Lin L, Qin Z, Wang X (2015) Methods and applications for ecological vulnerability evaluation in a hyper-arid oasis: a case study of the Turpan Oasis, China. Environ Earth Sci 74(2):1449–1461
Prăvălie R (2021) Exploring the multiple land degradation pathways across the planet. Earth Sci Rev 220:103689
Raheem N, Cravens AE, Cross MS, Crausbay S, Ramirez A, McEvoy J, ..., Suberu P (2019) Planning for ecological drought: integrating ecosystem services and vulnerability assessment. Wiley Interdisciplinary Rev: Water 6(4):1352
Shao H, Liu M, Shao Q, Sun X, Wu J, Xiang Z, Yang W (2014) Research on eco-environmental vulnerability evaluation of the Anning River Basin in the upper reaches of the Yangtze River. Environ Earth Sci 72(5):1555–1568
Silva MO, Macedo VC, Canuto IM, Silva MC, da Costa HV, do Bonfim CV (2022) Spatial dynamics of fetal mortality and the relationship with social vulnerability. J Perinat Med 50(6):645–652
Tai X, Xiao W, Tang Y (2020) A quantitative assessment of vulnerability using social-economic-natural compound ecosystem framework in coal mining cities. J Clean Prod 258:120969
Wang J, Sun T, Li P, Li FY (2005) Research progress on environmental carrying capacity. J Appl Ecol 16(4):768–772
Wang Y, Ding Q, Zhuang D (2015) An eco-city evaluation method based on spatial analysis technology: a case study of Jiangsu Province, China. Ecol Ind 58:37–46
Wang Y, Li X, Zhang F, Wang W, Xiao R (2020) Effects of rapid urbanization on ecological functional vulnerability of the land system in Wuhan, China: a flow and stock perspective. J Clean Prod 248:119284
Xia M, Jia K, Zhao W, Liu S, Wei X, Wang B (2021) Spatio-temporal changes of ecological vulnerability across the Qinghai-Tibetan Plateau. Ecol Ind 123:107274
Wang X, Zhong X, Gao P (2010) A GIS-based decision support system for regional eco-security assessment and its application on the Tibetan Plateau. J Environ Manag 91(10):1981–1990
Yaqiong L (2020) Coupling analysis of marine ecology and economy: case study of Shanghai, China. Ocean Coast Manag, 195.
Yu GR et al (2021) A coordinated three-dimensional network for observing large-scale terrestrial ecosystem status changes and the consequences on resources and environment. J Appl Ecol 32(6):1903–1918
Zhang X et al (2017) Ecological vulnerability assessment based on PSSR in Yellow River Delta. J Clean Prod 167:1106–1111
Zhang Y et al (2021) Difference analysis of ecological vulnerability and zoning changes of national energy and chemical bases using FAHP method. Int J Environ Res Public Health 18(13):6785–6785
Zheng Y et al (2021) Assessing the ecological vulnerability of protected areas by using Big Earth Data. Int J Digit Earth 14(11):1624–1637
Zou T, Yoshino K (2017) Environmental vulnerability evaluation using a spatial principal components approach in the Daxing’anling region, China. Ecol Ind 78:405–415
Zou T, Chang Y, Chen P, Liu J (2021) Spatial-temporal variations of ecological vulnerability in Jilin Province (China), 2000 to 2018. Ecol Ind 133:108429