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Evolution characteristics of landscape ecological risk patterns in Shangluo City in the Qinling Mountains, China

    Shu Fang Affiliation
    ; Minmin Zhao Affiliation
    ; Pei Zhao Affiliation
    ; Yan Zhang Affiliation

Abstract

Landscape ecological risk assessment (LERA) is the basis of regional landscape pattern optimization, and a tool that can help achieve a win-win situation between regional development and ecological protection. The landscape ecological risk (LER) of the southern end of the Qinling Mountains, China exhibited an increasing trend after the year 2000, but the degree of increase and the spatial and temporal dynamics were not clear, limiting the formulation and implementation of landscape optimization measures in the area. Here, we constructed a landscape pattern risk index ERI by combining data on landscape disturbance and landscape vulnerability from land use information for Shangluo City for years 2000, 2005, 2010, 2015, and 2020; then, we calculated a LER level and its spatial and temporal dynamics for Shangluo City for years 2000 to 2020. Moran’s I and LISA indices were used to characterize the spatial correlation of ERI in Shangluo City. We found that Shangluo had a large proportion of medium-risk areas, and its LER shifted from medium-high, high in year 2000 to medium risk, medium-low and low risk in year 2020, and LER of Shangluo was clustered in space but the degree of clustering decreased in the past 20 years. We conclude that the development strategy of Shangluo should depend on providing a sustainably-developed environment.

Keyword : LERA, ERI index, spatial autocorrelation analysis, Shangluo, Qinling Mountains

How to Cite
Fang, S., Zhao, M., Zhao, P., & Zhang, Y. (2024). Evolution characteristics of landscape ecological risk patterns in Shangluo City in the Qinling Mountains, China. Journal of Environmental Engineering and Landscape Management, 32(4), 255–269. https://doi.org/10.3846/jeelm.2024.22304
Published in Issue
Oct 22, 2024
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This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Ayre, K. K., & Landis, W. G. (2012). A Bayesian approach to landscape ecological risk assessment applied to the Upper Grande Ronde Watershed, Oregon. Human and Ecological Risk Assessment: An International Journal, 18(5), 946–970. https://doi.org/10.1080/10807039.2012.707925

Bin, L. (2012). Spatial development explorations of middle-and small-sized mountainous cities: A Case study of Shangluo City, China. Journal of Landscape Research, 4(12), Article 22. https://doi.org/10.16785/j.issn1943-989x.2012.12.008

Cao, Q., Zhang, X., Lei, D., Guo, L., Sun, X., & Wu, J. (2019). Multi-scenario simulation of landscape ecological risk probability to facilitate different decision-making preferences. Journal of Cleaner Production, 227, 325–335. https://doi.org/10.1016/j.jclepro.2019.03.125

Chan, K. M., & Vu, T. T. (2017). A landscape ecological perspective of the impacts of urbanization on urban green spaces in the Klang Valley. Applied Geography, 85, 89–100. https://doi.org/10.1016/j.apgeog.2017.06.002

Chen, J., Wang, Q., & Li, Q. (2022). A quantitative assessment on ecological compensation based on water resources value accounting: A case study of water Source area of the middle route of south-to-north water transfer project in China. Frontiers in Environmental Science, 10, Article 854150. https://doi.org/10.3389/fenvs.2022.854150

Chen, S., Liu, K., Bao, Y., & Chen, H. (2016). Spatial pattern and influening factors of water convervation service function in Shangluo City [in Chinese with English abstract]. Scientia Geographica Sinica, 36(10), 1546–1554. https://doi.org/10.13249/j.cnki.sgs.2016.10.012

Chen, W., Ding, X., Zhao, R., & Shi, S. (2016). Application of frequency ratio and weights of evidence models in landslide susceptibility mapping for the Shangzhou District of Shangluo City, China. Environmental Earth Sciences, 75, 1–10. https://doi.org/10.1007/s12665-015-4829-1

Cui, L., Zhao, Y., Liu, J., Han, L., Ao, Y., & Yin, S. (2018). Landscape ecological risk assessment in Qinling Mountain. Geological Journal, 53, 342–351. https://doi.org/10.1002/gj.3115

Cui, L., Zhao, Y., Liu, J., Wang, H., Han, L., Li, J., & Sun, Z. (2021). Vegetation coverage prediction for the Qinling Mountains using the CA–Markov model. ISPRS International Journal of Geo-Information, 10(10), Article 679. https://doi.org/10.3390/ijgi10100679

Darvishi, A., Yousefi, M., & Marull, J. (2020). Modelling landscape ecological assessments of land use and cover change scenarios. Application to the Bojnourd Metropolitan Area (NE Iran). Land Use Policy, 99, Article 105098. https://doi.org/10.1016/j.landusepol.2020.105098

Environmental Sciences Research Institute. (2012). http://www.esri.com/

Gong, J., Cao, E., Xie, Y., Xu, C., Li, H., & Yan, L. (2021). Integrating ecosystem services and landscape ecological risk into adaptive management: Insights from a western mountain-basin area, China. Journal of Environmental Management, 281, Article 111817. https://doi.org/10.1016/j.jenvman.2020.111817

Hayes, E. H., & Landis, W. G. (2004). Regional ecological risk assessment of a near shore marine environment: Cherry Point, WA. Human and Ecological Risk Assessment, 10(2), 299–325. https://doi.org/10.1080/10807030490438256

Hope, B. K. (2006). An examination of ecological risk assessment and management practices. Environment International, 32(8), 983–995. https://doi.org/10.1016/j.envint.2006.06.005

Hua, L., Liao, J., Chen, H., Chen, D., & Shao, G. (2018). Assessment of ecological risks induced by land use and land cover changes in Xiamen City, China. International Journal of Sustainable Development & World Ecology, 25(5), 439–447. https://doi.org/10.1080/13504509.2017.1415235

Hunsaker, C. T., Graham, R. L., Suter, G. W., O’Neill, R. V., Barnthouse, L. W., & Gardner, R. H. (1990). Assessing ecological risk on a regional scale. Environmental Management, 14(3), 325–332. https://doi.org/10.1007/BF02394200

Islam, M., Al-Mamun, A., Hossain, F., Quraishi, S., Naher, K., Khan, R., & Nahid, F. (2017). Contamination and ecological risk assessment of trace elements in sediments of the rivers of Sundarban mangrove forest, Bangladesh. Marine Pollution Bulletin, 124(1), 356–366. https://doi.org/10.1016/j.marpolbul.2017.07.059

Ji, Y., Bai, Z., & Hui, J. (2021). Landscape Ecological Risk Assessment Based on LUCC—A case study of Chaoyang County, China. Forests, 12(9), Article 1157. https://doi.org/10.3390/f12091157

Jin, G., Chen, K., Liao, T., Zhang, L., & Najmuddin, O. (2021). Measuring ecosystem services based on government intentions for future land use in Hubei Province: Implications for sustainable landscape management. Landscape Ecology, 36, 2025–2042. https://doi.org/10.1007/s10980-020-01116-3

Kapustka, L. A., Galbraith, H., Luxon, M., & Yocum, J. (2001). Using landscape ecology to focus ecological risk assessment and guide risk management decision-making. Toxicology and Industrial Health, 17(5–10), 236–246. https://doi.org/10.1191/0748233701th121oa

Karimian, H., Zou, W., Chen, Y., Xia, J., & Wang, Z. (2022). Landscape ecological risk assessment and driving factor analysis in Dongjiang river watershed. Chemosphere, 307, Article 135835. https://doi.org/10.1016/j.chemosphere.2022.135835

Keshavarzi, A., & Kumar, V. (2020). Spatial distribution and potential ecological risk assessment of heavy metals in agricultural soils of Northeastern Iran. Geology, Ecology, and Landscapes, 4(2), 87–103. https://doi.org/10.1080/24749508.2019.1587588

Khoroshev, A. (2020). Landscape-ecological approach to spatial planning as a tool to minimize socio-ecological conflicts: Case study of agrolandscape in the Taiga Zone of Russia. Land, 9(6), Article 192. https://doi.org/10.3390/land9060192

Leuven, R. S., & Poudevigne, I. (2002). Riverine landscape dynamics and ecological risk assessment. Freshwater Biology, 47(4), 845–865. https://doi.org/10.1046/j.1365-2427.2002.00918.x

Li, C., Zhang, J., Philbin, S. P., Yang, X., Dong, Z., Hong, J., & Ballesteros-Pérez, P. (2022). Evaluating the impact of highway construction projects on landscape ecological risks in high altitude plateaus. Scientific Reports, 12(1), Article 5170. https://doi.org/10.1038/s41598-022-08788-8

Li, J., Pu, R., Gong, H., Luo, X., Ye, M., & Feng, B. (2017). Evolution characteristics of landscape ecological risk patterns in coastal zones in Zhejiang Province, China. Sustainability, 9(4), Article 584. https://doi.org/10.3390/su9040584

Li, X., Li, S., Zhang, Y., O’Connor, P. J., Zhang, L., & Yan, J. (2021). Landscape ecological risk assessment under multiple indicators. Land, 10(7), Article 739. https://doi.org/10.3390/land10070739

Lin, D., Liu, F., Zhang, J., Hao, H., & Zhang, Q. (2021). Research progress on ecological risk assessment based on multifunctional landscape. Journal of Resources and Ecology, 12(2), 260–267. https://doi.org/10.5814/j.issn.1674-764x.2021.02.012

Liu, D., Chen, H., Zhang, H., Geng, T., & Shi, Q. (2020). Spatiotemporal evolution of landscape ecological risk based on geomorphological regionalization during 1980–2017: A case study of Shaanxi Province, China. Sustainability, 12(3), Article 941. https://doi.org/10.3390/su12030941

Liu, D., Qu, R., Zhao, C., Liu, A., & Deng, X. (2012). Landscape ecological risk assessment in Yellow River Delta. Journal of Food, Agriculture and Environment, 10(2), 970–972. https://doi.org/10.1016/j.foodres.2011.12.018

Liu, Y. X., Ren, Z. Y., & Li, C. Y. (2013). Response of ecosystem services value to the landscape patterns change in the Qinling Mountains [in Chinese with English abstract]. Journal of Arid Resources and Environment, 27(03), 109–114.

Liu, Y., Liu, Y., Li, J., Lu, W., Wei, X., & Sun, C. (2018). Evolution of landscape ecological risk at the optimal scale: A case study of the open coastal wetlands in Jiangsu, China. International Journal of Environmental Research And Public Health, 15(8), Article 1691. https://doi.org/10.3390/ijerph15081691

Mann, D., Anees, M. M., Rankavat, S., & Joshi, P. K. (2021). Spatio-temporal variations in landscape ecological risk related to road network in the Central Himalaya. Human and Ecological Risk Assessment: An International Journal, 27(2), 289–306. https://doi.org/10.1080/10807039.2019.1710693

Mohajane, M., Essahlaoui, A., Oudija, F., Hafyani, M. E., Hmaidi, A. E., Ouali, A. E., & Teodoro, A. C. (2018). Land use/land cover (LULC) using landsat data series (MSS, TM, ETM+ and OLI) in Azrou Forest, in the Central Middle Atlas of Morocco. Environments, 5(12), Article 131. https://doi.org/10.3390/environments5120131

Mondal, B., Sharma, P., Kundu, D., & Bansal, S. (2021). Spatio-temporal assessment of landscape ecological risk and associated drivers: A case study of Delhi. Environment and Urbanization Asia, 12(1 Suppl.), S85–S106. https://doi.org/10.1177/09754253211007830

Pan, Y., Zhang, Y., & Wang, R. (2019). Study on the evaluation of ecological environment quality in Shangluo City [in Chinese with English abstract]. Value Engineering, (36), 22–24. https://doi.org/10.14018/j.cnki.cn13-1085/n.2019.36.010

Peng, J., Zong, M., Hu, Y. n., Liu, Y., & Wu, J. (2015). Assessing landscape ecological risk in a mining city: A case study in Liaoyuan City, China. Sustainability, 7(7), 8312–8334. https://doi.org/10.3390/su7078312

Qu, Y., Zong, H., Su, D., Ping, Z., & Guan, M. (2021). Land use change and its impact on landscape ecological risk in typical areas of the Yellow River Basin in China. International Journal of Environmental Research and Public Health, 18(21), Ar­ticle 11301. https://doi.org/10.3390/ijerph182111301

Ran, P., Hu, S., Frazier, A. E., Qu, S., Yu, D., & Tong, L. (2022). Exploring changes in landscape ecological risk in the Yangtze River Economic Belt from a spatiotemporal perspective. Ecological Indicators, 137, Article 108744. https://doi.org/10.1016/j.ecolind.2022.108744

Sun, P., Yang, H., & Liu, Q. (2012). Study on dynamic security of land ecology in water source area of South-to-North Water Diversion Project: A case study of Shangluo City, Shanxi Province [in Chinese with English abstract]. Journal of Natural Resources, (09), 1520–1530.

Wang, B., Xu, G., Li, P., Li, Z., Zhang, Y., Cheng, Y., & Zhang, J. (2020). Vegetation dynamics and their relationships with climatic factors in the Qinling Mountains of China. Ecological Indicators, 108, Article 105719. https://doi.org/10.1016/j.ecolind.2019.105719

Wang, H., Liu, X., Zhao, C., Chang, Y., Liu, Y., & Zang, F. (2021). Spatial-temporal pattern analysis of landscape ecological risk assessment based on land use/land cover change in Baishuijiang National nature reserve in Gansu Province, China. Ecological Indicators, 124, Article 107454. https://doi.org/10.1016/j.ecolind.2021.107454

Wei, X., Yang, J., Luo, P., Lin, L., Lin, K., & Guan, J. (2022). Assessment of the variation and influencing factors of vegetation NPP and carbon sink capacity under different natural conditions. Ecological Indicators, 138, Article 108834. https://doi.org/10.1016/j.ecolind.2022.108834

Xie, H., Wen, J., Chen, Q., & Wu, Q. (2021). Evaluating the landscape ecological risk based on GIS: A case-study in the Poyang Lake region of China. Land Degradation & Development, 32(9), 2762–2774. https://doi.org/10.1002/ldr.3951

Xu, W., Wang, J., Zhang, M., & Li, S. (2021). Construction of landscape ecological network based on landscape ecological risk assessment in a large-scale opencast coal mine area. Journal of Cleaner Production, 286, Article 125523 https://doi.org/10.1016/j.jclepro.2020.125523

Yang, W., Zhao, P., Ma, Y., Ye, Y., & Li, M. (2019). Analysis of the characters of montanic urban spatial expansion and the influencing factors [in Chinese with English abstract]. Journal of Gansu Sciences, (06), 129–135.

Yu, X., Liu, Y., Zhang, Z., Xiong, Y., & Dang, M. (2022). Urban spatial structure features in Qinling mountain area based on ecological network analysis-case study of Shangluo City. Alexandria Engineering Journal, 61(12), 12829–12845. https://doi.org/10.1016/j.aej.2022.06.049

Zhang, C. (2002). The nonpoint source pollution and the control countermeasures for the Hanjiang and Danjiang river basins in Shaanxi province [in Chinese with English abstract]. Northwest Water Resources & Water Engineering, (01), 18–25.

Zhang, W., Chang, W. J., Zhu, Z. C., & Hui, Z. (2020). Landscape ecological risk assessment of Chinese coastal cities based on land use change. Applied Geography, 117, Article 102174. https://doi.org/10.1016/j.apgeog.2020.102174

Zhang, X., Yao, L., Luo, J., & Liang, W. (2022). Exploring changes in land use and landscape ecological risk in key regions of the belt and road initiative countries. Land, 11(6), Article 940. https://doi.org/10.3390/land11060940

Zhang, Y., Li, Z., Li, P., & Qin, J. (2016). Environmental impact assessment of land use planning in the water source area of Shangluo [in Chinese with English abstract]. Journal of Soil and Water Conservation, 30(04), 308–311+335. https://doi.org/10.13870/j.cnki.stbcxb.2016.04.051

Zhang, Y., Li, Z., Liu, J., & Li, P. (2017). Evaluation on sustainable development of Shangluo water resource area for the Middle Route of South-to-North Water Transfer Project [in Chinese with English abstract]. Journal of Xi’an University of Technology, 33(02), 132–137. https://doi.org/10.19322/j.cnki.issn.1006-4710.2017.02.002

Zhao, M., Li, Q., Feng, J., Chen, L., & Li, H. (2013). Evaluation of the urban land intensive use and it’s regional differences in Shaanxi province based on GIS. In F. Bian, Y. Xie, X. Cui, & Y. Zeng (Eds.), Communications in Computer and Information Science: Vol. 399. Geo-Informatics in Resource Management and Sustainable Ecosystem (pp. 435–444). Springer. https://doi.org/10.1007/978-3-642-41908-9_45

Zhou, J., & Cao, X. (2020). What is the policy improvement of China’s land consolidation? Evidence from completed land consolidation projects in Shaanxi Province. Land Use Policy, 99, Article 104847. https://doi.org/10.1016/j.landusepol.2020.104847

Zhu, Z., Mei, Z., Xu, X., Feng, Y., & Ren, G. (2022). Landscape ecological risk assessment based on land use change in the Yellow River Basin of Shaanxi, China. International Journal of Environmental Research and Public Health, 19(15), Article 9547. https://doi.org/10.3390/ijerph192113945