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Landscape Ecological Risk Responses to Land Use Change in the Luanhe River Basin, China

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  • Ying Li

    (Key Laboratory of Pollution Processes and Environmental Criteria of Ministry of Education, Numerical Simulation Group for Water Environment, Tianjin Key Laboratory of Environmental Remediation and Pollution Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China)

  • Suiliang Huang

    (Key Laboratory of Pollution Processes and Environmental Criteria of Ministry of Education, Numerical Simulation Group for Water Environment, Tianjin Key Laboratory of Environmental Remediation and Pollution Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China)

Abstract

Land use change has large effects on natural ecosystems, which is considered to be the main factor in eco-environment change. We analyzed the future characters of land use change by the CLUE-S model and explored landscape ecological risk responses to land use change by the landscape ecological risk index method. Using the Luanhe River Basin as a case study, we simulated future land use change from 2010 to 2030 under 3 scenarios ( i.e ., trend, high economic growth, and ecological security), and identified the hotspots of land use change. Afterward, we quantitatively investigated the degree of land use development and landscape ecological risk patterns that have occured since 2000 and that are expected to occur until 2030. Results revealed that, under the three scenarios, construction land and forest are expanding mainly at the expense of agriculture land and grassland. The hotspots of land use change are located in the vicinity of Shuangluan and Shuangqiao District of Chengde City in the midstream of the Luanhe River Basin, where urbanization has been strong since 2000 and is projected to continue that way until 2030. During this time period, hotspots of land use development have been gradually transferring from the downstream to the midstream since 2000 and, again, is expected to continue that way until 2030, which will impact the spatial distribution of landscape ecological risk. We found that the landscape ecological risk of the entire basin has shown a negative trend. However, a few areas still have serious ecological risk, which are mainly located in the east of upstream (Duolun County and Weichang County), the middle region (Shuangluan and Shuangqiao District, Chengde County, and Xinglong County), and the downstream (Qinglong County). These can provide key information for land use management, and for helping to prepare future eco-environmental policies in the Luanhe River Basin.

Suggested Citation

  • Ying Li & Suiliang Huang, 2015. "Landscape Ecological Risk Responses to Land Use Change in the Luanhe River Basin, China," Sustainability, MDPI, vol. 7(12), pages 1-22, December.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:12:p:15835-16652:d:60747
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    2. Isabelle D. Wolf & Parvaneh Sobhani & Hassan Esmaeilzadeh, 2023. "Assessing Changes in Land Use/Land Cover and Ecological Risk to Conserve Protected Areas in Urban–Rural Contexts," Land, MDPI, vol. 12(1), pages 1-22, January.
    3. Yong Zhu & Shihu Zhong & Ying Wang & Muhua Liu, 2021. "Land Use Evolution and Land Ecological Security Evaluation Based on AHP-FCE Model: Evidence from China," IJERPH, MDPI, vol. 18(22), pages 1-15, November.
    4. Binpin Gao & Yingmei Wu & Chen Li & Kejun Zheng & Yan Wu & Mengjiao Wang & Xin Fan & Shengya Ou, 2022. "Multi-Scenario Prediction of Landscape Ecological Risk in the Sichuan-Yunnan Ecological Barrier Based on Terrain Gradients," Land, MDPI, vol. 11(11), pages 1-22, November.
    5. Ji Chai & Zhanqi Wang & Hongwei Zhang, 2017. "Integrated Evaluation of Coupling Coordination for Land Use Change and Ecological Security: A Case Study in Wuhan City of Hubei Province, China," IJERPH, MDPI, vol. 14(11), pages 1-21, November.
    6. Pengshan Li & Yahui Lv & Chao Zhang & Wenju Yun & Jianyu Yang & Dehai Zhu, 2016. "Analysis and Planning of Ecological Networks Based on Kernel Density Estimations for the Beijing-Tianjin-Hebei Region in Northern China," Sustainability, MDPI, vol. 8(11), pages 1-17, October.
    7. Nianlong Han & Miao Yu & Peihong Jia, 2022. "Multi-Scenario Landscape Ecological Risk Simulation for Sustainable Development Goals: A Case Study on the Central Mountainous Area of Hainan Island," IJERPH, MDPI, vol. 19(7), pages 1-17, March.
    8. Dong Wang & Xiang Ji & Cheng Li & Yaxi Gong, 2021. "Spatiotemporal Variations of Landscape Ecological Risks in a Resource-Based City under Transformation," Sustainability, MDPI, vol. 13(9), pages 1-21, May.
    9. Fuwei Qiao & Yongping Bai & Lixia Xie & Xuedi Yang & Shuaishuai Sun, 2021. "Spatio-Temporal Characteristics of Landscape Ecological Risks in the Ecological Functional Zone of the Upper Yellow River, China," IJERPH, MDPI, vol. 18(24), pages 1-19, December.
    10. Di Liu & Xiaoying Liang & Hai Chen & Hang Zhang & Nanzhao Mao, 2018. "A Quantitative Assessment of Comprehensive Ecological Risk for a Loess Erosion Gully: A Case Study of Dujiashi Gully, Northern Shaanxi Province, China," Sustainability, MDPI, vol. 10(9), pages 1-16, September.
    11. He Gao & Wei Song, 2022. "Assessing the Landscape Ecological Risks of Land-Use Change," IJERPH, MDPI, vol. 19(21), pages 1-25, October.
    12. Yunhui Zhang & Zhong Wang & Shougeng Hu & Ziying Song & Xiaoguang Cui & Dennis Afriyie, 2022. "Spatial and Temporal Evolution and Prediction of the Coordination Level of “Production-Living-Ecological” Function Coupling in the Yellow River Basin, China," IJERPH, MDPI, vol. 19(21), pages 1-22, November.
    13. Yanping Lan & Jianjun Chen & Yanping Yang & Ming Ling & Haotian You & Xiaowen Han, 2023. "Landscape Pattern and Ecological Risk Assessment in Guilin Based on Land Use Change," IJERPH, MDPI, vol. 20(3), pages 1-19, January.

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