IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i23p16007-d989134.html
   My bibliography  Save this article

Status, Trend, and Prospect of Global Farmland Abandonment Research: A Bibliometric Analysis

Author

Listed:
  • Bo Liu

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    School of Geomatics, Liaoning Technical University, Fuxin 123000, China)

  • Wei Song

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    Hebei Collaborative Innovation Center for Urban-Rural Integration Development, Shijiazhuang 050061, China)

  • Qian Sun

    (National Research Center for Geoanalysis, China Geological Survey, Beijing 100037, China)

Abstract

Farmland abandonment is one of the most important land use changes in the world today and crucial to the sustainable development of the global environment. The authors carried out extensive research on farmland abandonment from many perspectives, but, due to the variety of the research contents, rich research perspectives, and complex research objects, the current research in this field lacks comprehensiveness, objectivity, and systematization. In this study, the bibliometric R software packages bibliometrix and biblioshiny (K-Synth Srl, Naples, Italy) were used to analyze the development history and current situation of 896 articles on farmland abandonment in the Web of Science core collection database from 1980 to 2021, revealing their research hotspots and predicting the future development trends. Over the past 40 years, the number of published papers on abandoned farmland has continuously increased. Research mainly focused on the ecological environment, with natural succession, biodiversity, and vegetation restoration being high-frequency keywords in this field. Research on the social aspects of farmland abandonment has developed rapidly in the past 6 years. Based on these findings, this paper put forward four future research directions: the data source for the extraction of abandoned farmland should transform to high spatial-temporal resolution and hyperspectral remote sensing images; the method should pay more attention to the time series change detection and the application of the model; future research should focus on the economic costs of the reclamation of abandoned farmland and the ecological consequences of such reclamation; and the global ecological impact of vegetation succession after the abandonment of farmland should be further discussed from a broader perspective.

Suggested Citation

  • Bo Liu & Wei Song & Qian Sun, 2022. "Status, Trend, and Prospect of Global Farmland Abandonment Research: A Bibliometric Analysis," IJERPH, MDPI, vol. 19(23), pages 1-30, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:16007-:d:989134
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/23/16007/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/23/16007/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Suresh Chaudhary & Yukuan Wang & Amod Mani Dixit & Narendra Raj Khanal & Pei Xu & Bin Fu & Kun Yan & Qin Liu & Yafeng Lu & Ming Li, 2019. "Spatiotemporal Degradation of Abandoned Farmland and Associated Eco-Environmental Risks in the High Mountains of the Nepalese Himalayas," Land, MDPI, vol. 9(1), pages 1-19, December.
    2. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    3. Thomas Dax & Karin Schroll & Ingrid Machold & Martyna Derszniak-Noirjean & Bernd Schuh & Mailin Gaupp-Berghausen, 2021. "Land Abandonment in Mountain Areas of the EU: An Inevitable Side Effect of Farming Modernization and Neglected Threat to Sustainable Land Use," Land, MDPI, vol. 10(6), pages 1-17, June.
    4. M. M. Kessler, 1963. "Bibliographic coupling between scientific papers," American Documentation, Wiley Blackwell, vol. 14(1), pages 10-25, January.
    5. Garfield, Eugene, 2009. "From the science of science to Scientometrics visualizing the history of science with HistCite software," Journal of Informetrics, Elsevier, vol. 3(3), pages 173-179.
    6. Quintas-Soriano, Cristina & Buerkert, Andreas & Plieninger, Tobias, 2022. "Effects of land abandonment on nature contributions to people and good quality of life components in the Mediterranean region: A review," Land Use Policy, Elsevier, vol. 116(C).
    7. Habibullah Rajpar & Anlu Zhang & Amar Razzaq & Khalid Mehmood & Maula Bux Pirzado & Weiyan Hu, 2019. "Agricultural Land Abandonment and Farmers’ Perceptions of Land Use Change in the Indus Plains of Pakistan: A Case Study of Sindh Province," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    8. Suresh Chaudhary & Yukuan Wang & Amod Mani Dixit & Narendra Raj Khanal & Pei Xu & Kun Yan & Qin Liu & Yafeng Lu & Ming Li, 2019. "Eco-Environmental Risk Evaluation for Land Use Planning in Areas of Potential Farmland Abandonment in the High Mountains of Nepal Himalayas," Sustainability, MDPI, vol. 11(24), pages 1-20, December.
    9. Hualin Xie & Yanwei Zhang & Zhilong Wu & Tiangui Lv, 2020. "A Bibliometric Analysis on Land Degradation: Current Status, Development, and Future Directions," Land, MDPI, vol. 9(1), pages 1-37, January.
    10. Xin Deng & Dingde Xu & Yanbin Qi & Miao Zeng, 2018. "Labor Off-Farm Employment and Cropland Abandonment in Rural China: Spatial Distribution and Empirical Analysis," IJERPH, MDPI, vol. 15(9), pages 1-15, August.
    11. Gagolewski, Marek, 2011. "Bibliometric impact assessment with R and the CITAN package," Journal of Informetrics, Elsevier, vol. 5(4), pages 678-692.
    12. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    13. Guandong Su & Hidenori Okahashi & Lin Chen, 2018. "Spatial Pattern of Farmland Abandonment in Japan: Identification and Determinants," Sustainability, MDPI, vol. 10(10), pages 1-22, October.
    14. Müller, Daniel & Leitão, Pedro J. & Sikor, Thomas, 2013. "Comparing the determinants of cropland abandonment in Albania and Romania using boosted regression trees," Agricultural Systems, Elsevier, vol. 117(C), pages 66-77.
    15. Erjia Yan & Ying Ding, 2012. "Scholarly network similarities: How bibliographic coupling networks, citation networks, cocitation networks, topical networks, coauthorship networks, and coword networks relate to each other," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1313-1326, July.
    16. Collins C. Okolie & Abiodun A. Ogundeji, 2022. "Effect of COVID-19 on agricultural production and food security: A scientometric analysis," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-13, December.
    17. Erjia Yan & Ying Ding, 2012. "Scholarly network similarities: How bibliographic coupling networks, citation networks, cocitation networks, topical networks, coauthorship networks, and coword networks relate to each other," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(7), pages 1313-1326, July.
    18. Henry Small, 1973. "Co‐citation in the scientific literature: A new measure of the relationship between two documents," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 24(4), pages 265-269, July.
    19. Dangzhi Zhao & Andreas Strotmann, 2008. "Evolution of research activities and intellectual influences in information science 1996–2005: Introducing author bibliographic‐coupling analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(13), pages 2070-2086, November.
    20. Yang, Siluo & Han, Ruizhen & Wolfram, Dietmar & Zhao, Yuehua, 2016. "Visualizing the intellectual structure of information science (2006–2015): Introducing author keyword coupling analysis," Journal of Informetrics, Elsevier, vol. 10(1), pages 132-150.
    21. Xiaoxin Zhang & Martin Brandt & Xiaowei Tong & Philippe Ciais & Yuemin Yue & Xiangming Xiao & Wenmin Zhang & Kelin Wang & Rasmus Fensholt, 2022. "A large but transient carbon sink from urbanization and rural depopulation in China," Nature Sustainability, Nature, vol. 5(4), pages 321-328, April.
    22. Wei Song, 2019. "Mapping Cropland Abandonment in Mountainous Areas Using an Annual Land-Use Trajectory Approach," Sustainability, MDPI, vol. 11(21), pages 1-24, October.
    23. Ding, Ying, 2011. "Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks," Journal of Informetrics, Elsevier, vol. 5(1), pages 187-203.
    24. Zhang, Xiaolin & Zhang, Yan & Wang, Yifan & Fath, Brian D., 2021. "Research progress and hotspot analysis for reactive nitrogen flows in macroscopic systems based on a CiteSpace analysis," Ecological Modelling, Elsevier, vol. 443(C).
    25. Suresh Chaudhary & Yukuan Wang & Amod Mani Dixit & Narendra Raj Khanal & Pei Xu & Bin Fu & Kun Yan & Qin Liu & Yafeng Lu & Ming Li, 2020. "A Synopsis of Farmland Abandonment and Its Driving Factors in Nepal," Land, MDPI, vol. 9(3), pages 1-22, March.
    26. Suresh Chaudhary & Yukuan Wang & Narendra Raj Khanal & Pei Xu & Bin Fu & Amod Mani Dixit & Kun Yan & Qin Liu & Yafeng Lu, 2018. "Social Impact of Farmland Abandonment and Its Eco-Environmental Vulnerability in the High Mountain Region of Nepal: A Case Study of Dordi River Basin," Sustainability, MDPI, vol. 10(7), pages 1-19, July.
    27. Shi, Tiechou & Li, Xiubin & Xin, Liangjie & Xu, Xiaohong, 2018. "The spatial distribution of farmland abandonment and its influential factors at the township level: A case study in the mountainous area of China," Land Use Policy, Elsevier, vol. 70(C), pages 510-520.
    28. Howard D. White & Belver C. Griffith, 1981. "Author cocitation: A literature measure of intellectual structure," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 32(3), pages 163-171, May.
    29. Deng, Xin & Xu, Dingde & Zeng, Miao & Qi, Yanbin, 2019. "Does Internet use help reduce rural cropland abandonment? Evidence from China," Land Use Policy, Elsevier, vol. 89(C).
    30. Rodríguez-Soler, Rocío & Uribe-Toril, Juan & De Pablo Valenciano, Jaime, 2020. "Worldwide trends in the scientific production on rural depopulation, a bibliometric analysis using bibliometrix R-tool," Land Use Policy, Elsevier, vol. 97(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bo Liu & Wei Song & Zhan Meng & Xinwei Liu, 2023. "Review of Land Use Change Detection—A Method Combining Machine Learning and Bibliometric Analysis," Land, MDPI, vol. 12(5), pages 1-26, May.
    2. Leng Liu & Bo Liu & Wei Song & Hao Yu, 2023. "The Relationship between Rural Sustainability and Land Use: A Bibliometric Review," Land, MDPI, vol. 12(8), pages 1-25, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jun-Ping Qiu & Ke Dong & Hou-Qiang Yu, 2014. "Comparative study on structure and correlation among author co-occurrence networks in bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1345-1360, November.
    2. Song Yanhui & Wu Lijuan & Qiu Junping, 2021. "A comparative study of first and all-author bibliographic coupling analysis based on Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1125-1147, February.
    3. Yong Huang & Yi Bu & Ying Ding & Wei Lu, 2018. "Number versus structure: towards citing cascades," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 2177-2193, December.
    4. McLevey, John & McIlroy-Young, Reid, 2017. "Introducing metaknowledge: Software for computational research in information science, network analysis, and science of science," Journal of Informetrics, Elsevier, vol. 11(1), pages 176-197.
    5. Leng Liu & Bo Liu & Wei Song & Hao Yu, 2023. "The Relationship between Rural Sustainability and Land Use: A Bibliometric Review," Land, MDPI, vol. 12(8), pages 1-25, August.
    6. Subedi, Yuba Raj & Kristiansen, Paul & Cacho, Oscar, 2022. "Reutilising abandoned cropland in the Hill agroecological region of Nepal: Options and farmers’ preferences," Land Use Policy, Elsevier, vol. 117(C).
    7. Bo Liu & Wei Song & Zhan Meng & Xinwei Liu, 2023. "Review of Land Use Change Detection—A Method Combining Machine Learning and Bibliometric Analysis," Land, MDPI, vol. 12(5), pages 1-26, May.
    8. Pin Li & Guoli Yang & Chuanqi Wang, 2019. "Visual topical analysis of library and information science," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1753-1791, December.
    9. Guan-Can Yang & Gang Li & Chun-Ya Li & Yun-Hua Zhao & Jing Zhang & Tong Liu & Dar-Zen Chen & Mu-Hsuan Huang, 2015. "Using the comprehensive patent citation network (CPC) to evaluate patent value," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1319-1346, December.
    10. Yu-Wei Chang & Mu-Hsuan Huang & Chiao-Wen Lin, 2015. "Evolution of research subjects in library and information science based on keyword, bibliographical coupling, and co-citation analyses," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2071-2087, December.
    11. Toshiyuki Hasumi & Mei-Shiu Chiu, 2022. "Online mathematics education as bio-eco-techno process: bibliometric analysis using co-authorship and bibliographic coupling," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4631-4654, August.
    12. Perianes-Rodriguez, Antonio & Waltman, Ludo & van Eck, Nees Jan, 2016. "Constructing bibliometric networks: A comparison between full and fractional counting," Journal of Informetrics, Elsevier, vol. 10(4), pages 1178-1195.
    13. Bruno Miranda Henrique & Vinicius Amorim Sobreiro & Herbert Kimura, 2018. "Building direct citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 817-832, May.
    14. Chaoqun Ni & Cassidy R. Sugimoto & Blaise Cronin, 2013. "Visualizing and comparing four facets of scholarly communication: producers, artifacts, concepts, and gatekeepers," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1161-1173, March.
    15. Yun, Jinhyuk & Ahn, Sejung & Lee, June Young, 2020. "Return to basics: Clustering of scientific literature using structural information," Journal of Informetrics, Elsevier, vol. 14(4).
    16. Leng Liu & Congjie Cao & Wei Song, 2023. "Bibliometric Analysis in the Field of Rural Revitalization: Current Status, Progress, and Prospects," IJERPH, MDPI, vol. 20(1), pages 1-18, January.
    17. Julian Andrés Diaz Tautiva & Felipe Ignacio Rifo Rivera & Sebastian Andrés Barros Celume & Sergio Andrés Rifo Rivera, 2024. "Mapping the research about organisations in the latin american context: a bibliometric analysis," Management Review Quarterly, Springer, vol. 74(1), pages 121-169, February.
    18. Saurav Chandra Talukder & Zoltán Lakner, 2023. "Exploring the Landscape of Social Entrepreneurship and Crowdfunding: A Bibliometric Analysis," Sustainability, MDPI, vol. 15(12), pages 1-22, June.
    19. Mingchun Cao & Ilan Alon, 2020. "Intellectual Structure of the Belt and Road Initiative Research: A Scientometric Analysis and Suggestions for a Future Research Agenda," Sustainability, MDPI, vol. 12(17), pages 1-40, August.
    20. Kai Hu & Kunlun Qi & Siluo Yang & Shengyu Shen & Xiaoqiang Cheng & Huayi Wu & Jie Zheng & Stephen McClure & Tianxing Yu, 2018. "Identifying the “Ghost City” of domain topics in a keyword semantic space combining citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 1141-1157, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:16007-:d:989134. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.