Spatiotemporal Evolution of Land Use and Its Driving Forces in Lüliang City of Shanxi Province
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    Abstract:

    [Objective] The spatiotemporal evolution characteristics and driving forces of land use changes in Lüliang City of Shanxi Province was determined, in order to provide a reference for land management and sustainable development. [Methods] Land use data from 2000 to 2020 in Lüliang City were used to determine the spatiotemporal evolution characteristics of land by using a land use transfer matrix, dynamic degree, stability degree, and standard deviation ellipse. Additionally, the PLUS model was used to determine the natural and social driving factors of land use change. [Results] ① Land use types in Lüliang City were dominated by cropland, forest land, and grassland. From 2000 to 2020, the cropland area decreased by 396.1 km2, the construction land area expanded by 540.6 km2, and the water area increased. The transfer of land between cropland and grassland, and between cropland and construction land dominated. Cropland was concentrated and reduced in the southeastern plain, with scattered changes in forest. Construction land expanded in clusters along valleys and roads. ② The period from 2010 to 2020 was a period of intense land use changes, with reductions in cropland, forest land, and grassland, expansion of construction land, rapid changes, and poor stability. The overall rate of land use change significantly accelerated over time. ③ Elevation had the highest contribution to land use change, followed by slope. Factors such as temperature, precipitation, population density, GDP, and distance from roads affected land use transfer. [Conclusion] From 2000 to 2020, the expansion of construction land in Lüliang City was significant, with a decrease in cropland. Heterogeneity was observed in the spatial distribution of land use, and the rate of change gradually accelerated. Controlling the encroachment of construction land on cropland, and strengthening the protection of forest resources in mountainous areas will be beneficial for sustainable regional development.

    Reference
    [1] 李广英,李红颖,王凌青,等.青海省土地利用变化及其社会经济驱动因素分析[J].草业科学,2022,39(12):2604-2616.Li Guangying, Li Hongying, Wang Lingqing, et al. Analysis of land use change and its socio-economic driving factors in Qinghai Province [J]. Pratacultural Science, 2022,39(12):2604-2616.
    [2] 张宇晗,张兵华,彭琳,等.福州市2005—2020年土地利用变化及驱动因素研究[J].福州大学学报(自然科学版),2022,50(3):408-416.Zhang Yuhan, Zhang Binghua, Peng Lin, et al. Research on land-use change and driving factors in Fuzhou City from 2005 to 2020 [J]. Journal of Fuzhou University (Natural Science Edition), 2022,50(3):408-416.
    [3] 张佰发,苗长虹.黄河流域土地利用时空格局演变及驱动力[J].资源科学,2020,42(3):460-473.Zhang Baifa, Miao Changhong. Spatiotemporal changes and driving forces of land use in the Yellow River basin [J]. Resources Science, 2020,42(3):460-473.
    [4] 付建新,曹广超,郭文炯.1980—2018年祁连山南坡土地利用变化及其驱动力[J].应用生态学报,2020,31(8):2699-2709.Fu Jianxin, Cao Guangchao, Guo Wenjiong. Land use change and its driving force on the southern slope of Qilian Mountains from 1980 to 2018 [J]. Chinese Journal of Applied Ecology, 2020,31(8):2699-2709.
    [5] 吴郁文,林杰.融合遥感与社会感知数据的城市土地利用分类方法[J].浙江大学学报(理学版),2023,50(1):83-95.Wu Yuwen, Lin Jie. Integrating remotely sensed and social sensed data for urban land use classification [J]. Journal of Zhejiang University (Science Edition), 2023,50(1):83-95.
    [6] 王志华,郜酷,杨晓梅,等.地理学视角下土地利用/覆被分类发展探讨[J].地理研究,2022,41(11):2946-2962.Wang Zhihua, Gao Ku, Yang Xiaomei, et al. Land use/land cover classification development from a geographical perspective [J]. Geographical Research, 2022,41(11):2946-2962.
    [7] 罗芳,潘安,陈忠升,等.四川省宜宾市1980—2018年耕地时空格局变化及其驱动因素[J].水土保持通报,2021,41(6):336-344.Luo Fang, Pan An, Chen Zhongsheng, et al. Spatiotemporal pattern change of cultivated land and its driving forces in Yibin City, Sichuan Province during 1980—2018 [J]. Bulletin of Soil and Water Conservation, 2021,41(6):336-344.
    [8] 禹文东,吴涛,罗云建,等.城镇化进程中耕地时空格局演化及其驱动机制研究: 以扬州市为例[J].西南大学学报(自然科学版),2023,45(7):147-159.Yu Wendong, Wu Tao, Luo Yunjian, et al. Spatiotemporal pattern evolution and driving mechanism of cultivated land in urbanization process: Taking Yangzhou City as an example [J]. Journal of Southwest University (Natural Science Edition), 2023,45(7):147-159.
    [9] 张亦清,韩念龙,张伟璇,等.三亚市土地利用变化多情景模拟研究[J].生态科学,2022,41(6):52-62.Zhang Yiqing, Han Nianlong, Zhang Weixuan, et al. Study on multi-scenario simulation of land use change in Sanya [J]. Ecological Science, 2022,41(6):52-62.
    [10] 宋百媛,侯西勇,王晓利,等.海岸带土地利用变化多情景模拟: 以山东海岸带为例[J].海洋科学,2022,46(1):22-33.Song Baiyuan, Hou Xiyong, Wang Xiaoli, et al. Multi-scenario simulation of land use change in coastal zones:A case study of Shandong coastal zone [J]. Marine Sciences, 2022,46(1):22-33.
    [11] 魏文飞,包玉,王志泰,等.喀斯特多山城市生境质量对土地利用变化的时空响应: 以贵阳市为例[J].生态学报,2023,43(10):3920-3935.Wei Wenfei, Bao Yu, Wang Zhitai, et al. Spatio-temporal responses of urban environment quality to land use change in mountainous cities of karst areas [J]. Acta Ecologica Sinica, 2023,43(10):3920-3935.
    [12] 杨朔,苏昊,赵国平.基于PLUS模型的城市生态系统服务价值多情景模拟: 以汉中市为例[J].干旱区资源与环境,2022,36(10):86-95.Yang Shuo, Su Hao, Zhao Guoping. Multi-scenario simulation of urban ecosystem service value based on PLUS model: A case study of Hanzhong City [J]. Journal of Arid Land Resources and Environment, 2022,36(10):86-95.
    [13] 尚俊,蔡海生,龙月,等.基于InVEST模型的鄱阳湖区生境质量时空演化及其变迁特征分析[J].长江流域资源与环境,2021,30(8):1901-1915.Shang Jun, Cai Haisheng, Long Yue, et al. Temporal-spatial distribution and transition of habitat quality in Poyang Lake Region based on InVEST model [J]. Resources and Environment in the Yangtze Basin, 2021,30(8):1901-1915.
    [14] 杨雪荻,陈兴鹏,车磊,等.融入生态安全的兰西城市群土地利用功能布局优化[J].生态学报,2023,43(7):2583-2593.Yang Xuedi, Chen Xingpeng, Che Lei, et al. Optimizing the functional layout of land use integrated ecological security in Lanzhou-Xining Urban Agglomeration [J]. Acta Ecologica Sinica, 2023,43(7):2583-2593.
    [15] 王子尧,孟露,李倞,等.低碳发展背景下北京市土地利用与生态系统服务多情景模拟研究[J].生态学报,2023,43(9):3571-3581.Wang Ziyao, Meng Lu, Li Liang, et al. Multi-scenario simulation of land use and ecosystem services in Beijing under the background of low-carbon development [J]. Acta Ecologica Sinica, 2023,43(9):3571-3581.
    [16] Wang Ziyao, Li Xin, Mao Yueting, et al. Dynamic simulation of land use change and assessment of carbon storage based on climate change scenarios at the city level: A case study of Bortala, China [J]. Ecological Indicators, 2022,134:108499.
    [17] 高周冰,王晓瑞,隋雪艳,等.基于FLUS和InVEST模型的南京市生境质量多情景预测[J].农业资源与环境学报,2022,39(5):1001-1013.Gao Zhoubing, Wang Xiaorui, Sui Xueyan, et al. Multi-scenario prediction of habitat quality in Nanjing based on FLUS and InVEST models [J]. Journal of Agricultural Resources and Environment, 2022,39(5):1001-1013.
    [18] 王柯文,秦见,马海涛.基于CA-Markov模型的重庆西部新城城市扩张时空演化模拟与生态响应[J].中国科学院大学学报,2023,40(4):496-505.Wang Kewen, Qin Jian, Ma Haitao. Spatial-temporal evolution simulation and ecological response of urban expansion in Western New City of Chongqing based on CA-Markov model [J]. Journal of University of Chinese Academy of Sciences, 2023,40(4):496-505.
    [19] 顾汉龙,马天骏,钱凤魁,等.基于CLUE-S模型县域土地利用情景模拟与碳排放效应分析[J].农业工程学报,2022,38(9):288-296.Gu Hanlong, Ma Tianjun, Qian Fengkui, et al. County land use scenario simulation and carbon emission effect analysis using CLUE-S model [J]. Transactions of the Chinese Society of Agricultural Engineering, 2022,38(9):288-296.
    [20] Liang Xun, Guan Qingfeng, Clarke K C, et al. Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China [J]. Computers, Environment and Urban Systems, 2021, 85:101569.
    [21] 赵庆建,吴晓珍.基于InVEST模型的岷江流域土地利用变化对生境质量的影响研究[J].生态科学,2022,41(6):1-10.Zhao Qingjian, Wu Xiaozhen. Research on the impact of land use change on habitat quality in Minjiang River basin based on InVEST model [J]. Ecological Science, 2022,41(6):1-10.
    [22] 张瑞,杜国明,张树文.1986—2020年东北典型黑土区耕地资源时空变化及其驱动因素[J].资源科学,2023,45(5):939-950.Zhang Rui, Du Guoming, Zhang Shuwen. Spatiotemporal changes and the driving factors of cultivated land resources of the typical black soil region in Northeast China from 1986 to 2020 [J]. Resources Science, 2023,45(5):939-950.
    [23] 许宝荣,刘一川,董莹,等.基于InVEST模型的兰州地区生境质量评价[J].中国沙漠,2021,41(5):120-129.Xu Baorong, Liu Yichuan, Dong Ying, et al. Evaluation of habitat quality in Lanzhou Region based on InVEST model [J]. Journal of Desert Research, 2021,41(5):120-129.
    [24] 刘汉仪,林媚珍,周汝波,等.基于InVEST模型的粤港澳大湾区生境质量时空演变分析[J].生态科学,2021,40(3):82-91.Liu Hanyi, Lin Meizhen, Zhou Rubo, et al. Spatial and temporal evolution of habitat quality in Guangdong-Hong Kong-Macao Greater Bay Area based on InVEST model [J]. Ecological Science, 2021,40(3):82-91.
    [25] 吕晶,金日,王镜植,等.基于PLUS的耕地驱动因素分析与未来预测: 以图们江流域为例[J].水土保持通报,2023,43(3):203-212.Lyu Jing, Jin Ri, Wang Jingzhi, et al. Analysis of driving factors and predictions of arable land area based on PLUS model: A case study of Tumen River basin [J]. Bulletin of Soil and Water Conservation, 2023,43(3):203-212.
    [26] 周道媛,王娟,周凤娟.基于PLUS模型多情景分析的土地利用变化及生态系统服务价值评估: 以福州市为例[J].甘肃农业大学学报,2023,58(3):198-209.Zhou Daoyuan, Wang Juan, Zhou Fengjuan. Evaluation of land use change and ecosystem service value based on multi-scenario analysis of PLUS model:With Fuzhou City as an example [J]. Journal of Gansu Agricultural University, 2023,58(3):198-209.
    [27] 孙欣欣,薛建辉,董丽娜.基于PLUS模型和InVEST模型的南京市生态系统碳储量时空变化与预测[J].生态与农村环境学报,2023,39(1):41-51.Sun Xinxin, Xue Jianhui, Dong Lina. Spatiotemporal change and prediction of carbon storage in Nanjing ecosystem based on PLUS model and InVEST model [J]. Journal of Ecology and Rural Environment, 2023,39(1):41-51.
    [28] 杨潋威,赵娟,朱家田,等.基于PLUS和InVEST模型的西安市生态系统碳储量时空变化与预测[J].自然资源遥感,2022,34(4):175-182.Yang Lianwei, Zhao Juan, Zhu Jiatian, et al. Spatial-temporal change and prediction of carbon stock in the ecosystem of Xi’an based on PLUS and InVEST models [J]. Remote Sensing for Natural Resources, 2022,34(4):175-182.
    [29] 王子尧,黄楚梨,李倞,等.耦合InVEST-HFI-PLUS模型的生态分区规划与动态评估: 以博尔塔拉蒙古自治州为例[J].生态学报,2022,42(14):5789-5798.Wang Ziyao, Huang Chuli, Li Liang, et al. Ecological zoning planning and dynamic evaluation coupled with Invest-HFI-Plus model: A case study in Bortala Mongolian Autonomous Prefecture [J]. Acta Ecologica Sinica, 2022,42(14):5789-5798.
    [30] 胡丰,张艳,郭宇,等.基于PLUS和InVEST模型的渭河流域土地利用与生境质量时空变化及预测[J].干旱区地理,2022,45(4):1125-1136.Hu Feng, Zhang Yan, Guo Yu, et al. Spatial and temporal changes in land use and habitat quality in the Weihe River basin based on the PLUS and InVEST models and predictions [J]. Arid Land Geography, 2022,45(4):1125-1136.
    [31] 冀泳帆,贾鲁净,杨联安,等.耦合InVEST-PLUS模型的榆林市生境质量时空演变及预测分析[J].水土保持学报,2023,37(1):123-132.Ji Yongfan, Jia Lujing, Yang Lian’an, et al. Spatio-temporal evolution and prediction analysis of habitat quality in Yulin City coupled with InVEST-PLUS model [J]. Journal of Soil and Water Conservation, 2023,37(1):123-132.
    [32] 呼格吉乐,张裕凤,白力嘎.1980—2020年内蒙古自治区通辽市土地利用变化及其驱动力[J].水土保持通报,2023,43(4):375-384.Hu Gejile, Zhang Yufeng, Bai Liga. Land use change and its driving forces at Tongliao City of Inner Mongolia autonomous region from 1980 to 2020 [J]. Bulletin of Soil and Water Conservation, 2023,43(4):375-384.
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解铭威,周慧荻,陈耸,王向荣.2000—2020年山西省吕梁市土地利用时空变化及其驱动因素[J].水土保持通报英文版,2024,44(3):296-306

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History
  • Received:October 19,2023
  • Revised:November 27,2023
  • Online: August 21,2024