中国土地利用/覆被变化研究综述 ———基于文献计量学的可视化分析

李舒畅; LI Shuchang; 宋伟; SONG Wei; 刘洪义; LIU Hongyi

doi:10.48014/fcls.20221102002

中国土地利用/覆被变化研究综述 ———基于文献计量学的可视化分析

Review of Land Use/Cover Change Research in China— Visual Analysis based on Bibliometrics

中国土地科学前沿 2023年第1卷第1期页码[1-13] 下载全文[1.6MB] [HTML]

摘要

20世纪中期以来, 全球人口剧增, 人类活动侵占了大量的自然空间, 造成剧烈的土地利用/覆被变化, 引发了一系列气候变化、环境污染、资源短缺等生态安全问题, 对全球可持续发展造成严峻挑战。中国是全球国土面积最大、人口最多的发展中国家, 土地利用/覆被的变化更为明显。因此, 开展中国土地利用/覆被变化领域的综述分析, 在应对全球变化、修复生态破坏、缓解人地矛盾等方面具有重要意义。本文基于Web of Science数据库中2012—2022年中国土地利用/覆被变化领域的文献, 利用Bibliometrix和Biblioshiny软件包, 分析了中国土地利用/覆被变化领域的研究现状、特点、区域差异及演变规律。研究表明: (1) 中国土地利用/覆被变化领域论文的年发表量呈稳步上升趋势。但是年均被引量呈现波动下降的趋势; (2) 2012—2022年间共有73157位作者在中国土地利用/覆被变化领域发表了文章, 其中张镱锂、刘彦随和李秀彬发文量位列前三; (3) 全球153个国家或地区在中国土地利用/覆被变化领域有文献产出, 产出量排名前三分别是中国、美国和德国。其中, 中国和美国在中国土地利用/覆被变化领域的文献产出在国际合作中发挥了重要作用。 (4) 中国土地利用/覆被变化研究的关键词可以分为三类: 第一类侧重于中国土地利用/覆被变化驱动因子/因素的研究; 第二类重点关注中国土地利用/覆被变化研究的模型与技术方法; 第三类强调政策及政府的管理的作用; (5) 2012—2022年的十年间, 中国土地利用/覆被变化领域主题的变化不大, 主要围绕着气候变化和管理开展相关研究工作。

Abstract

Since the mid-20th century, the global population has increased dramatically, and human activities have encroached on a large number of natural spaces, resulting in drastic land use/cover changes. A series of ecological security problems took place as a result, such as climate change, environmental pollution, and resource shortage, posing severe challenges to global sustainable development. As the largest and the most populous developing country in the world, China’s land use/cover change is more prominent compared to that of other countries. Therefore, the comprehensive analysis of land use/cover change in China is of great significance in dealing with global change, repairing ecological damage, and alleviating the contradiction between man and land. Based on the literature of land use/cover change in China from 2012 to 2022 in the Web of Science database, this paper analyzes the research status, characteristics, regional differences, and evolution law of land use/cover change in China by using Bibliometrix and Biblioshiny software packages. The results show that: (1) The annual number of papers published in the field of land use/cover change in China is steadily increasing. However, the average annual citation amount fluctuates but shows a general downward trend; (2) From 2012 to 2022, a total of 73, 157 authors published articles in the field of land use/cover change in China, among whom Zhang Yili, Liu Yansui, and Li Xiubin ranked the top three; (3) 153 countries or regions in the world have literature output in the field of land use/cover change in China, and the top three output countries are China, the United States and Germany. Among research, papers from China and the United States has played an important role in international cooperation in the field of land use/cover change in China; (4) The key words of land use/cover change research in China can be divided into three categories: the first category focuses on the research of driving factors/factors of land use/ cover change in China; The second category focuses on the models and technical methods of land use/cover change research in China; The third category emphasizes the role of policies and government management; (5) During the ten years from 2012 to 2022, the theme of land use/cover change in China changed little, mainly focusing on climate change and management.

DOI	10.48014/fcls.20221102002
文章类型	综述
收稿日期	2022-11-03
接收日期	2022-12-11
出版日期	2023-06-28
关键词	土地利用/覆被变化, 文献计量学, Bibliometrix, 综述, 中国
Keywords	Land use/cover change, bibliometrics, bibliometrix, overview, China
作者	李舒畅^1,2, 宋伟^1,3,*, 刘洪义⁴
Author	LI Shuchang^1,2, SONG Wei^1,3,*, LIU Hongyi⁴
所在单位	1. 中国科学院地理科学与资源研究所中国科学院陆地表层格局与模拟重点实验室, 北京 100101 2. 中国科学院大学, 北京 100049 3. 河北省城乡融合发展协同创新中心, 石家庄 050061 4. 德州市不动产登记中心, 德州 253000
Company	1. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China 2. University of Chinese Academy of Sciences, Beijing 100049, China 3. Hebei Collaborative Innovation Center for Urban-rural Integration development, Shijiazhuang 050061, China 4. Dezhou Real Estate Registration Center, Dezhou 253000, China
浏览量	560
下载量	230
基金项目	国家自然科学基金项目(42071233)资助。
参考文献	[1] Fan X C, Zhao L L. Land use changes and its driving factors: A case study in Nanping city, China[J]. Applied Ecology and Environmental Research, 2019, 17(2): 3709-3721. https://doi.org/10.15666/aeer/1702_37093721 [2] Ge Y, Hu S, Ren Z, et al. Mapping annual land use changes in China’s poverty-stricken areas from 2013 to 2018[J]. Remote Sensing of Environment, 2019, 232: 111285. https://doi.org/10.1016/j.rse.2019.111285 [3] Lukman K M, Uchiyama Y, Quevedo J M D, et al. Land use changes assessment using a triangulated framework: Perception interviews, land-use/land cover observation, and spatial planning analysis in Tanjung Batu and Derawan Island, Indonesia[J]. Human Ecology, 2021, 49(5): 551-564. https://doi.org/10.1007/s10745-021-00253-w [4] Liang Y, Song W. Integrating potential ecosystem services losses into ecological risk assessment of land use changes: A case study on the Qinghai-Tibet Plateau[J]. Journal of Environmental Management, 2022, 318: 115607. https://doi.org/10.1016/j.jenvman.2022.115607 [5] Liu J, Ning J, Kuang W, et al. Spatio-temporal patterns and characteristics of land-use change in China during 2010-2015[J]. Acta Geographica Sinica, 2018, 73(5): 789-802. https://doi.org/10.11821/dlxb201805001 [6] Long H, Li Y, Liu Y, et al. Accelerated restructuring in rural China fueled by ‘increasing vs. decreasing balance’ land-use policy for dealing with hollowed villages[J]. Land Use Policy, 2012, 29(1): 11-22. https://doi.org/10.1016/j.landusepol.2011.04.003 [7] Zhang L, Zhang H, Xu E. Information entropy and elasticity analysis of the land use structure change influencing eco-environmental quality in Qinghai-Tibet Plateau from 1990 to 2015[J]. Environmental Science and Pollution Research, 2022, 29(13): 18348-18364. https://doi.org/10.1007/s11356-021-17978-2 [8] Zhang X, Song W, Lang Y, et al. Land use changes in the coastal zone of China’s Hebei Province and the corresponding impacts on habitat quality[J]. Land Use Policy, 2020, 99: 104957. https://doi.org/10.1016/j.landusepol.2020.104957 [9] Zhou X, Zhou Y. Spatio-Temporal Variation and Driving Forces of Land-Use Change from 1980 to 2020 in Loess Plateau of Northern Shaanxi, China[J]. Land, 2021, 10(9): 982. https://doi.org/10.3390/land10090982 [10] Bao J, Gao S, Ge J. Dynamic land use and its policy in response to environmental and social-economic changes in China: A case study of the Jiangsu coast(1750-2015)[J]. Land Use Policy, 2019, 82: 169-180. https://doi.org/10.1016/j.landusepol.2018.12.008 [11] Xu Y. Rethinking the politics of land-use change: Insights from the rise of the industrial tree plantation sector in Southern China[J]. Land Use Policy, 2019, 87: 104025. https://doi.org/10.1016/j.landusepol.2019.104025 [12] 吴宇哲, 孙小峰. 改革开放40周年中国土地政策回溯与展望: 城市化的视角[J]. 中国土地科学, 2018, 32(07): 7-14. https://doi.org/10.1016/10.11994/zgtdkx.20180712.142543 [13] 张俊峰, 张安录. 中国土地资源错配、效益损失与政策启示: 基于省际面板数据的实证研究[J]. 华中农业大学学报(社会科学版), 2019(05): 126-136+72. https://doi.org/10.13300/j.cnki.hnwkxb.2019.05.015 [14] Christensen P. Suburbs or Skyscrapers? The effect of China’s leasing market on housing decentralization[J]. Land Economics, 2019, 95(4): 557-576. https://doi.org/10.3368/le.95.4.557 [15] Chuai X, Wen J, Zhuang D, et al. Intersection of physical and anthropogenic effects on land-use/land-cover changes in coastal China of Jiangsu Province[J]. Sustainability, 2019, 11(8): 2370. https://doi.org/10.3390/su11082370 [16] Wang J, Lin Y, Glendinning A, et al. Land-use changes and land policies evolution in China’s urbanization processes[J]. Land Use Policy, 2018, 75: 375-387. https://doi.org/10.1016/j.landusepol.2018.04.011 [17] Li C, Wu K, Wu J. Urban land use change and its socioeconomic driving forces in China: A case study in Beijing, Tianjin and Hebei region[J]. Environment Development and Sustainability, 2018, 20(3): 1405-1419. https://doi.org/10.1007/s10668-017-9928-6 [18] Wang X, Li X. China’s agricultural land use change and its underlying drivers: A literature review[J]. Journal of Geographical Sciences, 2021, 31(8): 1222-1242. https://doi.org/10.1007/s11442-021-1894-0 [19] 何海珊, 赵宇豪, 吴健生. 低碳导向下土地覆被演变模拟———以深圳市为例[J]. 生态学报, 2021, 41(21): 8352-8363. https://doi.org/10.5846/stxb202103150697 [20] 纪秋磊, 梁伟, 傅伯杰, 等. 基于Google Earth Engine平台与复杂网络的黄河流域土地利用/覆被变化分析[J]. 生态学报, 2022, 42(06): 2122-2135. https://doi.org/10.5846/stxb202011132938 [21] 刘纪远, 匡文慧, 张增祥, 等. 20世纪80年代末以来中国土地利用变化的基本特征与空间格局[J]. 地理学报, 2014, 69(01): 3-14. [22] 向书江, 张骞, 王丹, 等. 近20年重庆市主城区碳储量对土地利用/覆被变化的响应及脆弱性分析[J]. 自然资源学报, 2022, 37(05): 1198-1213. https://doi.org/10.31497/zrzyxb.20220507 [23] 张明芳, 于雷, 戴梓萱, 等. 基于CNKI数据库对中国土地利用方式变化影响土壤有机碳趋势研究的文献计量分析[J]. 华中师范大学学报(自然科学版): 2022, 56(06): 1044-1051. https://doi.org/10.19603/j.cnki.1000-1190.2022.06.016 [24] 康佳萍, 姜占好. 国外多模态研究热点与趋势(1999—2018)———基于Bibliometrix的可视化分析[J]. 外语教学, 2020, 41(03): 29-35. https://doi.org/10.16362/j.cnki.cn61-1023/h.2020.03.005 [25] 李昊, 潘宇光, 王磊. Bibliometrix: 一款新的基于R语言的文献计量软件介绍与评价[J]. 大学图书情报学刊, 2018, 36(04): 93-104. https://doi.org/10.3969/j.issn.1006-1525.2018.04.018 [26] 王曰芬. 文献计量法与内容分析法的综合研究[D]. 南京: 南京理工大学, 2007. https://doi.org/10.7666/d.y1154968 [27] 张明芳, 于雷, 戴梓萱, 等. 基于CNKI数据库对中国土地利用方式变化影响土壤有机碳趋势研究的文献计量分析[J]. 华中师范大学学报(自然科学版), 2022, 56(06): 1044-1051. https://doi.org/10.19603/j.cnki.1000-1190.2022.06.016 [28] 赵蓉英, 许丽敏. 文献计量学发展演进与研究前沿的知识图谱探析[J]. 中国图书馆学报, 2010, 36(05): 60-68. https://doi.org/10.13530/j.cnki.jlis.2010.05.006 [29] 匡文慧, 张树文, 杜国明, 等. 2015—2020年中国土地利用变化遥感制图及时空特征分析[J]. 地理学报, 2022, 77(05): 1056-1071. https://doi.org/10.11821/dlxb202205002 [30] 刘纪远, 宁佳, 匡文慧, 等. 2010-2015年中国土地利用变化的时空格局与新特征[J]. 地理学报, 2018, 73(05): 789-802. https://doi.org/10.19603/j.cnki.1000-1190.2022.06.016 [31] 孟庆香, 张莉坤, 位贺杰, 等. 基于土地利用/覆被变化的伊河流域生态系统服务供需风险时空演变[J]. 生态学报, 2022, 42(05): 2033-2049. https://doi.org/10.5846/stxb202102280551 [32] Ni C. Some issues in the study on land use/cover change[J]. Journal of Natural Resources, 2005, 20(6): 932-937. https://doi.org/10.11849/zrzyxb.2005.06.018 [33] Ning J, Liu J, Kuang W, et al. Spatiotemporal patterns and characteristics of land-use change in China during 2010-2015[J]. Journal of Geographical Sciences, 2018, 28(5): 547-562. https://doi.org/10.1007/s11442-018-1490-0 [34] 李全, 张彦南, 韦雯博, 等. 1983-2013年我国土地利用变化领域文献计量分析[J]. 现代城市研究, 2016(06): 67-72+7. https://doi.org/10.3969/j.issn.1009-6000.2016.06.010 [35] 刘纪远, 张增祥, 张树文, 等. 中国土地利用变化遥感研究的回顾与展望———基于陈述彭学术思想的引领[J]. 地球信息科学学报, 2020, 22(04): 680-687. [36] Cheng P, Tang H, Dong Y, et al. Knowledge mapping of research on land use change and food security: A visual analysis using CiteSpace and VOSviewer[J]. International Journal of Environmental Research and Public Health, 2021, 18(24): 13065. https://doi.org/10.3390/ijerph182413065 [37] Li J, Zheng X, Zhang C. Retrospective research on the interactions between land-cover change and global warming using bibliometrics during 1991-2018[J]. Environmental Earth Sciences, 2021, 80(17): 573. https://doi.org/10.1007/s12665-021-09804-2 [38] Tian X, Bruckner M, Geng Y, et al. Trends and driving forces of China’s virtual land consumption and trade[J]. Land Use Policy, 2019, 89: 104194. https://doi.org/10.1016/j.landusepol.2019.104194 [39] Wandong M A, Yuanzhi Z, Ping S H I, et al. Review of research on land use and land cover change in coastal zone[J]. Progress in Geography, 2008, 27(5): 87-94. [40] Wang G, Wang S, Chen Z. Land-use/land-cover changes in the Yellow River basin[J]. Journal of Tsinghua University( Science and Technology), 2004, 44(9): 1218-1222. https://doi.org/10.3390/land10101080 [41] Campra M, Riva P, Oricchio G, et al. Bibliometrix analysis of medical tourism[J]. Health services management research, 2022, 35(3): 172-188. https://doi.org/10.1177/09514848211011738 [42] Ciavolinon E, Aria M, Cheah J-H, et al. A tale of PLS structural equation modelling: Episode I- a bibliometrix citation analysis[J]. Social Indicators Research, 2022, 164: 1323-1348. https://doi.org/10.1007/s11205-022-02994-7 [43] De Sousa F D B. Management of plastic waste: A bibliometric mapping and analysis[J]. Waste Management & Research, 2021, 39(5): 664-678. https://doi.org/10.1177/0734242x21992422
引用本文	李舒畅, 宋伟, 刘洪义. 中国土地利用/覆被变化研究综述———基于文献计量学的可视化分析[J]. 中国土地科学前沿, 2023, 1(1): 1-13.
Citation	LI Shuchang, SONG Wei, LIU Hongyi. Review of land use/cover change research in China—Visual analysis based on Bibliometrics[J]. Frontiers of Chinese Land Sciences, 2023, 1(1): 1-13.