Abstract
Identifying the ecological vulnerability of the sensitive and fragile ecosystem of the Ya’an-Qamdo section along the southern route of the Sichuan-Tibet transport corridor is of paramount importance to reduce environmental damage resulting from infrastructure construction. This paper divided the Ya’an-Qamdo transport section into 22 subzones according to their ecological environment characteristics. Based on the vulnerability evaluation model established by the fuzzy matter-element analysis method, the eight main assessment indicators of ecological vulnerability were windstorm, rainstorm, snowstorm, extreme temperature, extreme air pressure, geological hazard, natural conditions, and social resources. The rating and ranking of vulnerability in each subzone were based on the weight of the judgment indicators. Scientific processes were used to verify the rationality of both the indicators themselves and their weights. The results of this study show that subzone 9, located in the subalpine cold and humid forest and scrubland zone, is the most vulnerable, and subzone 1, located in the low- to mid-land warm and humid forest zone, is the least vulnerable. The conclusion of the study suggests that targeted measures of ecological protection should be formulated before development and construction of major transportation infrastructure. Construction should evade the most vulnerable areas, and in-depth research on ecological restoration should be carried out in low- to mid-vulnerability areas so that the ecological environment along the route can be protected effectively for sustainable economic and social development.
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Abson DJ, Dougill AJ, Stringer LC (2012) Using principal component analysis for information-rich socio-ecological vulnerability mapping in Southern Africa. Appl Geogr 35(1–2): 515–524. https://doi.org/10.1016/j.apgeog.2012.08.004
Bao F, Qiu J (2021) Ecological vulnerability evaluation model of Sichuan-Tibet Railway based on fuzzy matter-element analysis. IOP Conference Series: Earth and Environmental Science. https://doi.org/10.1088/1755-1315/760/1/012029
Chen J, Yang XJ, Yin S, et al. (2018) The vulnerability evolution and simulation of social-ecological systems in a semi-arid area: A case study of Yulin City, China. J Geogr Sci 28(2): 152–174. https://doi.org/10.1007/s11442-018-1465-1
Chen Y, Xiong K, Ren X, et al. (2022) An overview of ecological vulnerability: a bibliometric analysis based on the Web of Science database. Environ Sci Pollut Res 29:12984–12996. https://doi.org/10.1007/s11356-021-17995-1
Dagnino A, Sforzini S, Dondero F, et al. (2008) A “weight-of-evidence” approach for the integration of environmental “triad” data to assess ecological risk and biological vulnerability. Integr Environ Assess Manag 4(3): 314–326. https://doi.org/10.1897/ieam_2007-067.1
Forootan E (2022) Erosion susceptibility assessment using fuzzy logic and multi-influencing factors combination approach. Arab J Geosci 15: 444. https://doi.org/10.1007/s12517-022-09598-y
Frazier TG, Thompson CM, Dezzani RJ (2014) A framework for the development of the SERV model: A spatially explicit resilience-vulnerability model. Appl Geogr 51:158–172. https://doi.org/10.1016/j.apgeog.2014.04.004
Gao JB, Hou WJ, Zhao DS, et al. (2016) Comprehensive assessment of natural ecosystem vulnerability in Tibetan Plateau based on satellite-derived datasets. Sci Geol Sin 36(4): 580–587. (In Chinese) https://doi.org/10.13249/j.cnki.sgs.2016.04.012
Guo B, Jiang L (2017) Evaluation of freeze-thaw erosion in Qinghai-Tibet Plateau based on multi-source data. Bulletin of Soil and Water Conservation 37(4): 12–19. (In Chinese) https://doi.org/10.13961/j.cnki.stbctb.2017.04.003
Huang X, Jin H, Bai H (2019) Vulnerability assessment of China’s coastal cities based on DEA cross-efficiency model. Int J Disaster Risk Reduct 36(4): 101091. https://doi.org/10.1016/j.ijdrr.2019.101091
Jie XF, Jiang GJ, Xiao C, et al. (2015) Evaluation of ecosystem health in western Tiaoxi river watershed based on matter element model. Acta Sci. Circumst. 35(04): 1250–1258. (In Chinese) https://doi.org/10.13671/j.hjkxxb.2014.0907
Kan AK, Li GQ, Yang X, et al. (2018) Ecological vulnerability analysis of Tibetan towns with tourism-based economy: A case study of the Bayi District. J Mt Sci 15(5): 1101–1114. https://doi.org/10.1007/s11629-017-4789-x
Lai ZM (1996) Impact of climate variation on the runoff of large rivers in the Tibetan Plateau. J Glaciol Geocryol 18(z1): 314–320. (In Chinese) DOI:CNKI:SUN:BCDT.0.1996-S1-037
Li PX, Fan J (2014) Regional ecological vulnerability assessment of the Guangxi Xijiang River Economic Belt in Southwest China with VSD model. J Resour Ecol 5(2): 163–170. https://doi.org/10.5814/j.issn.1674-764X.2014.02.009
Li Y, Tian Y, Li C (2011) Comparison study on ways of ecological vulnerability assessment — A case study in the Hengyang Basin. Procedia Environ Sci 10: 2067–2074. https://doi.org/10.1016/j.proenv.2011.09.323
Li YN, Zhao XQ, Zhao L, et al. (2003) Analysis of vegetation succession and climate change in Haibei Alpine Marsh in the Qilian Mountains. J Glaciol Geocryol 25(3): 243–249. (In Chinese) https://doi.org/10.3969/j.issn.1000-0240.2003.03.001
Luo L, Yan CG, Peng GZ (2005) Discussion on establishing a climatic and ecological monitoring system on the Eastern Qinghai-Tibetan Plateau. For Resour Manag 10(5): 66–76. (In Chinese) https://doi.org/10.3969/j.issn.1002-6622.2005.05.015
Ma ZZ, Zhang MJ, Wang SJ, et al. (2019) Characteristics and differences of temperature rise between the Qinghai-Tibetan plateau region and northwest arid region of China during 1960–2015. Plateau Meteoro 38(1): 42–54. (In Chinese) https://doi.org/10.7522/j.issn.1000-0534.2018.00074
Men BH, Liu HY (2018) Water resource system vulnerability assessment of the Heihe river basin based on pressure-state-response (psr) model under the changing environment. Water Sci Technol Water Supply 18(6): 1956–1967. https://doi.org/10.2166/ws.2018.017
Ni CC, Li GP, Xiong XZ (2013) Validation of the applicability of AIRS data in Sichuan-Tibet Region of China. J Mt Sci 31(6): 656–663. (In Chinese) https://doi.org/10.3969/j.issn.1008-2786.2013.06.003
Polsky C, Neff R, Yarnal B (2007) Building comparable global change vulnerability assessments: The vulnerability scoping diagram. Glob Environ Change 17(3–4): 472–485. https://doi.org/10.1016/j.gloenvcha.2007.01.005
Qiao S (2013) Sun Yat-sen and his vision for the construction of the Sichuan-Tibet Railway. Fujian Tribune (The Humanities & Social Sciences Monthly) 05: 92–97. (In Chinese) DOI:CNKI:SUN:FJLW.0.2013-05-013
Song JY, Chung ES (2016) Robustness, Uncertainty and sensitivity analyses of the TOPSIS method for quantitative climate change vulnerability: a case study of flood damage. Water Resour Manag 30: 4751–4771. https://doi.org/10.1007/s11269-016-1451-2
Song Z, Zhang GZ, Jiang LW, et al. (2016) Analysis of the characteristics of major geological disasters and geological alignment of Sichuan-Tibet Railway. Railw Stand Des 60(1): 14–19. (In Chinese) https://doi.org/10.13238/j.issn.1004-2954.2016.01.003
Suter G, Nichols J, Lavoie E, et al. (2020) Systematic review and weight of evidence are integral to ecological and human health assessments: They need an integrated framework. Integr Environ Assess Manag 16(5): 718–728. https://doi.org/10.1002/ieam.4271
Wang SY, Zhao MM, Yan J, et al. (2021) Evaluation on the importance of ecological protection in Changdu section of the Sichuan-Tibet Railway. Geosci 35(1): 234–243. (In Chinese) https://doi.org/10.19657/j.geoscience.1000-8527.2021.006
Wang Y, Ran W, Wu L, et al. (2019) Assessment of river water quality based on an improved fuzzy matter-element model. Int J Environ Res Public Health 16(15): 2793. https://doi.org/10.3390/ijerph16152793
Wei J, Guo YM, Sun L, et al. (2015) Evaluation of ecological environment vulnerability for Sanjiangyuan Area. Chin J Ecol 34(7): 1968–1975. (In Chinese) https://doi.org/10.1017/S096402820426058X
Xia XS, Zhu XF, Li YC, et al. (2016) Evaluation for vulnerability of agroecological environment in Three Gorges Reservoir Area (Chongqing section) based on AHP-PCA entropy combination weight mode. J South Agric 47(4): 548–556. (In Chinese). https://doi.org/10.3969/j:issn.2095-1191.2016.04.548
Xu SG, Zuo YF, Zhang M (2021) Evaluation of tourism ecological security and diagnosis of obstacle factors in China based on fuzzy object element model. Sci Geol Sin 41(01): 33–43. (In Chinese) https://doi.org/10.13249/j.cnki.sgs.2021.01.004
Xu YH (1991) Climate of Southwest China. China Meteorological Press, Beijing. (In Chinese)
Yang WC, Xu K, Lian JJ, et al. (2018) Integrated flood vulnerability assessment approach based on TOPSIS and Shannon entropy methods. Ecol Indic 89: 269–280. https://doi.org/10.1016/j.ecolind.2018.02.015
Zhang C, Liu X (2013) A hybrid ANP-DEA approach for vulnerability assessment in water supply system. Proceedings of the Institute of Industrial Engineers Asian Conference. pp 1395–1403. https://doi.org/10.1007/978-981-4451-98-7_164
Zhang H, Shen WS, Jiang LS, et al. (2004) Approach of evaluation on landscape protection along the Qinghai-Tibet Railway. Acta Ecol Sin 24(3): 574–582. (In Chinese) https://doi.org/10.3321/j.issn:1000-0933.2004.03.027
Zhong XH, Liu SZ (2014) Research on the mountain classification in China. Mt Res 32(2):129–140. (In Chinese) https://doi.org/10.16089/j.cnki.1008-2786.2014.02.006
Zhong XH, Liu SZ, Wang XD, et al. (2010) Research of ecological security on the Tibet Plateau. J Mt Sci 28(1): 1–10. (In Chinese) CNKI:SUN:SDYA.0.2010-01-003
Zou TH, Chang YX, Chen P, et al. (2021) Spatial-temporal variations of ecological vulnerability in Jilin Province (China), 2000 to 2018. Ecol Indic 133: 108429. https://doi.org/10.1016/j.ecolind.2021.108429
Zou XH, Liu FG, Zhang YL, et al. (2013) County scale-based risk analysis of flood hazard in Qinghai-Tibet plateau. J Nat Disasters 22(5): 181–188. (In Chinese) CNKI:SUN:ZRZH.0.2013-05-024
Acknowledgments
The paper is sponsored by the National Natural Science Foundation of China under the project “Research on Urban Spatial Coupling Mechanism Between Urban Epidemic Spreading and Vulnerability and Planning Response in Chengdu-Chongqing Area” (Grant No. 52078423), “Research on Coupling Mechanism of Production-Life-Ecology Space and Planning Methods — Case Studies in Earthquake Disaster Areas of Sichuan” (Grant No. 51678487), and the Major Program of Sichuan Provincial Scientific Research under the Project of “Research and Demonstration of Resilient Collaborative Planning and Design for Park Cities” (Grant No. 2020YFS0054). We would like to express our gratitude to Professor Li Xiaoping of the University of Electronic Science and Technology of China for his guidance and assistance in model construction and data processing for this study.
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Bao, F., Qiu, J. Ecological vulnerability assessment of the Ya’an-Qamdo section along the southern route of the Sichuan-Tibet transportation corridor. J. Mt. Sci. 19, 2202–2213 (2022). https://doi.org/10.1007/s11629-021-6895-z
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DOI: https://doi.org/10.1007/s11629-021-6895-z