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Journal of Integrative Agriculture  2025, Vol. 24 Issue (3): 949-965    DOI: 10.1016/j.jia.2024.11.008
Section 4: Interdisciplinary solutions to deepen grassland management Advanced Online Publication | Current Issue | Archive | Adv Search |
Unveiling and advancing grassland degradation research using a BERTopic modelling approach

Tong Li1*#, Lizhen Cui2*, Yu Wu3*, Rajiv Pandey4, Hongdou Liu5, Junfu Dong6, Weijin Wang1, Zhihong Xu5, Xiufang Song7, 8#, Yanbin Hao2, 10, Xiaoyong Cui2, 10, Jianqing Du9, 10, Xuefu Zhang3#, Yanfen Wang9, 10, 11

1 School of Agriculture and Food Sustainability, The University of Queensland, St Lucia 4072, Australia

2 College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China

3 Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China

4 Indian Council of Forestry Research & Education, Dehradun 248006, India

5 Centre for Planetary Health and Food Security, School of Environment and Science, Griffith University, Nathan, Brisbane 4111, Australia

6 Institute of Marine Science and Technology, Shandong University, Qingdao 264209, China

7 National Science Library, Chinese Academy of Sciences, Beijing 100190, China

8 Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China

9 College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

10 Beijing Yanshan Earth Critical Zone National Research Station, University of Chinese Academy of Sciences, Beijing 101408, China

11 State Key Laboratory of Tibetan Plateau Earth System Science (LATPES), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China

 Highlights 
First use of BERTopic to analyze grassland degradation research themes.
Combined use of BERTopic and scientometrics enhances topic modeling.
Pioneering computational tools in ecological research with BERTopic.
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摘要  

草地退化对生物多样性、生态系统服务和依赖这些生态系统的社区的社会经济可持续性构成了严峻挑战。然而,由于传统科学计量方法的局限性,难以全面整合关于草地退化前沿和关键领域。为了克服这一问题,本文采用了BERTopic这一先进的自然语言处理工具,分析了关于草地退化的大量生态学文献。我们从Web of Science核心集合数据库中筛选了4504篇文献,评估了不同草地类型的地理分布及其时间演变趋势分析结果揭示了草地退化研究的关键主题,包括草地退化对生态系统功能的影响、草地恢复和生物多样性保护、侵蚀过程以及草地水文模型等领域。与传统方法相比,BERTopic在识别目标文献中复杂且动态的主题变化方面表现出显著优势。BERTopic不仅揭示了热门研究方向,还发掘了传统方法可能忽视的新兴领域,提供了更广泛的研究视角;而科学计量学则在细节和特异性上表现突出。我们建议结合这两种方法,以更系统化和全面的方式评估研究现状。本研究展示了BERTopic算法在生态学中的新兴应用,尤其是在全球草地退化领域的应用。同时,这也凸显了在大数据时代,生态学研究亟需整合先进的计算工具。像BERTopic这样的算法对于深化我们对复杂环境问题的理解具有关键作用,标志着生态学向更为复杂的数据驱动分析迈出了重要一步。



Abstract  

Grassland degradation presents overwhelming challenges to biodiversity, ecosystem services, and the socio-economic sustainability of dependent communities.  However, a comprehensive synthesis of global knowledge on the frontiers and key areas of grassland degradation research has not been achieved due to the limitations of traditional scientometrics methods.  The present synthesis of information employed BERTopic, an advanced natural language processing tool, to analyze the extensive ecological literature on grassland degradation.  We compiled a dataset of 4,504 publications from the Web of Science core collection database and used it to evaluate the geographic distribution and temporal evolution of different grassland types and available knowledge on the subject.  Our analysis identified key topics in the global grassland degradation research domain, including the effects of grassland degradation on ecosystem functions, grassland ecological restoration and biodiversity conservation, erosion processes and hydrological models in grasslands, and others.  The BERTopic analysis significantly outperforms traditional methods in identifying complex and evolving topics in large datasets of literature.  Compared to traditional scientometrics analysis, BERTopic provides a more comprehensive perspective on the research areas, revealing not only popular topics but also emerging research areas that traditional methods may overlook, although scientometrics offers more specificity and detail.  Therefore, we argue for the simultaneous use of both approaches to achieve more systematic and comprehensive assessments of specific research areas.  This study represents an emerging application of BERTopic algorithms in ecological research, particularly in the critical research focused on global grassland degradation.  It also highlights the need for integrating advanced computational methods in ecological research in this era of data explosion.  Tools like the BERTopic algorithm are essential for enhancing our understanding of complex environmental problems, and it marks an important stride towards more sophisticated, data-driven analysis in ecology.

Keywords:  natural language processing       grassland degradation        knowledge synthesis        scientometrics        systematic review  
Received: 20 May 2024   Accepted: 13 September 2024
Fund: 

This work was financially supported by the First-Class Curriculum Program at the School of Economics and Management, University of the Chinese Academy of Sciences, the National Natural Science Foundation of China (42041005), and the National Social Science Foundation of China (23BTQ054). 

About author:  #Correspondence Tong Li, E-mail: tong.li1@uq.edu.au; Xiufang Song, E-mail: songxf@mail.las.ac.cn; Xuefu Zhang, E-mail: zhangxuefu@caas.cn * These authors contributed equally to this study.

Cite this article: 

Tong Li, Lizhen Cui, Yu Wu, Rajiv Pandey, Hongdou Liu, Junfu Dong, Weijin Wang, Zhihong Xu, Xiufang Song, Yanbin Hao, Xiaoyong Cui, Jianqing Du, Xuefu Zhang, Yanfen Wang. 2025. Unveiling and advancing grassland degradation research using a BERTopic modelling approach. Journal of Integrative Agriculture, 24(3): 949-965.

Aizawa A. 2003. An information-theoretic perspective of tf-idf measures. Information Processing & Management39, 45–65.

Akiyama T, Kawamura K. 2007. Grassland degradation in China: Methods of monitoring, management and restoration. Grassland Science53, 1–17.

Ali I, Cawkwell F, Dwyer E, Barrett B, Green S. 2016. Satellite remote sensing of grasslands: From observation to management. Journal of Plant Ecology9, 649–671.

Andrade B O, Koch C, Boldrini I I, Vélez-Martin E, Hasenack H, Hermann J M, Kollmann J, Pillar V D, Overbeck G E. 2015. Grassland degradation and restoration: A conceptual framework of stages and thresholds illustrated by southern Brazilian grasslands. Natureza & Conservação13, 95–104.

Atzeni D, Bacciu D, Mazzei D, Prencipe G. 2022. A systematic review of Wi-Fi and machine learning integration with topic modeling techniques. Sensors22, 4925.

Aytaç E, Khayet M. 2023. A topic modeling approach to discover the global and local subjects in membrane distillation separation process. Separations10, 482.

Bardgett R D, Bullock J M, Lavorel S, Manning P, Schaffner U, Ostle N, Chomel M, Durigan G, L Fry E, Johnson D. 2021. Combatting global grassland degradation. Nature Reviews Earth & Environment2, 720–735.

Benayas J M R, Newton A C, Diaz A, Bullock J M. 2009. Enhancement of biodiversity and ecosystem services by ecological restoration: A meta-analysis. Science325, 1121–1124.

Benevenute P A, de Morais E G, Souza A A, Vasques I C, Cardoso D P, Sales F R, Severiano E C, Homem B G, Casagrande D R, Silva B M. 2020. Penetration resistance: An effective indicator for monitoring soil compaction in pastures. Ecological Indicators117, 106647.

Bengtsson J, Bullock J, Egoh B, Everson C, Everson T, O’connor T, O’farrell P, Smith H, Lindborg R. 2019. Grasslands—more important for ecosystem services than you might think. Ecosphere10, e02582.

Borer E T, Grace J B, Harpole W S, MacDougall A S, Seabloom E W. 2017. A decade of insights into grassland ecosystem responses to global environmental change. Nature Ecology & Evolution1, 0118.

Boval M, Dixon R. 2012. The importance of grasslands for animal production and other functions: A review on management and methodological progress in the tropics. Animal6, 748–762.

Bowman D M, Murphy B P, Williamson G J, Cochrane M A. 2014. Pyrogeographic models, feedbacks and the future of global fire regimes. Global Ecology and Biogeography23, 821–824.

Breidenbach A, Schleuss P M, Liu S, Schneider D, Dippold M A, de la Haye T, Miehe G, Heitkamp F, Seeber E, Mason-Jones K. 2022. Microbial functional changes mark irreversible course of Tibetan grassland degradation. Nature Communications13, 2681.

Buisson E, Archibald S, Fidelis A, Suding K N. 2022. Ancient grasslands guide ambitious goals in grassland restoration. Science377, 594–598.

Bullock J M, Aronson J, Newton A C, Pywell R F, Rey-Benayas J M. 2011. Restoration of ecosystem services and biodiversity: Conflicts and opportunities. Trends in Ecology & Evolution26, 541–549.

Caillault S, Ballouche A, Delahaye D. 2015. Where are the ‘bad fires’ in West A frican savannas? Rethinking burning management through a space-time analysis in Burkina Faso. The Geographical Journal181, 375–387.

Cao J, Adamowski J F, Deo R C, Xu X, Gong Y, Feng Q. 2019. Grassland degradation on the Qinghai-Tibetan Plateau: Reevaluation of causative factors. Rangeland Ecology & Management72, 988–995.

Carreto J I, Montoya N G, Carignan M O, Akselman R, Acha E M, Derisio C. 2016. Environmental and biological factors controlling the spring phytoplankton bloom at the Patagonian shelf-break front - Degraded fucoxanthin pigments and the importance of microzooplankton grazing. Progress in Oceanography146, 1–21.

Chen C. 2006. CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology57, 359–377.

Chen C. 2016. Citespace: A Practical Guide for Mapping Scientific Literature. Nova Science Publishers, Hauppauge, USA. pp. 41–44.

Chen J, Gu S, Shen M, Tang Y, Matsushita B. 2009. Estimating aboveground biomass of grassland having a high canopy cover: An exploratory analysis of in situ hyperspectral data. International Journal of Remote Sensing30, 6497–6517.

Chen W, Rabhi F, Liao W, Al-Qudah I. 2023. Leveraging state-of-the-art topic modeling for news impact analysis on financial markets: A comparative study. Electronics12, 2605.

Clarke P J, Lawes M J, Murphy B P, Russell-Smith J, Nano C E, Bradstock R, Enright N J, Fontaine J B, Gosper C R, Radford I. 2015. A synthesis of postfire recovery traits of woody plants in Australian ecosystems. Science of the Total Environment534, 31–42.

Costanza R, Farber S C, Maxwell J. 1989. Valuation and management of wetland ecosystems. Ecological Economics1, 335–361.

Davis J A, Froend R. 1999. Loss and degradation of wetlands in southwestern Australia: Underlying causes, consequences and solutions. Wetlands Ecology and Management7, 13–23.

Deka P, Jurek-Loughrey A, Deepak P. 2022. Improved methods to aid unsupervised evidence-based fact checking for online health news. Journal of Data Intelligence3, 474–504.

Dennison P E, Brewer S C, Arnold J D, Moritz M A. 2014. Large wildfire trends in the western United States, 1984–2011. Geophysical Research Letters41, 2928–2933.

Donthu N, Kumar S, Mukherjee D, Pandey N, Lim W M. 2021. How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research133, 285–296.

Egger R, Yu J. 2022. A topic modeling comparison between LDA, NMF, Top2Vec, and BERTopic to demystify Twitter posts. Frontiers in Sociology7, 886498.

Elahi E, Zhang H, Lirong X, Khalid Z, Xu H. 2021. Understanding cognitive and socio-psychological factors determining farmers’ intentions to use improved grassland: Implications of land use policy for sustainable pasture production. Land Use Policy102, 105250.

Favretto N, Luedeling E, Stringer L C, Dougill A J. 2017. Valuing ecosystem services in semi-arid rangelands through stochastic simulation. Land Degradation & Development28, 65–73.

Fang J Y, Ke J H, Tang Z Y, Ch En A P. 2001. Implications and estimations of four terrestrial productivity parameters. Acta Phytoecological Sinica25, 414–419.

Fang X, Li J, Ma Q. 2023. Integrating green infrastructure, ecosystem services and nature-based solutions for urban sustainability: A comprehensive literature review. Sustainable Cities and Society98, 104843.

Frost C C. 1998. Presettlement fire frequency regimes of the United States: A first approximation. Fire in ecosystem management: Shifting the paradigm from suppression to prescription. In: Tall Timbers Fire Ecology Conference Proceedings. Tall Timbers Research Station, Florida, USA. pp. 70–81.

Fuhlendorf S D, Engle D M. 2001. Restoring heterogeneity on rangelands: Ecosystem management based on evolutionary grazing patterns: We propose a paradigm that enhances heterogeneity instead of homogeneity to promote biological diversity and wildlife habitat on rangelands grazed by livestock. BioScience51, 625–632.

Gharibvand H K, Azadi H, Witlox F. 2015. Exploring appropriate livelihood alternatives for sustainable rangeland management. The Rangeland Journal37, 345–356.

Gibon A. 2005. Managing grassland for production, the environment and the landscape. Challenges at the farm and the landscape level. Livestock Production Science96, 11–31.

Grootendorst M. 2022. BERTopic: Neural topic modeling with a class-based TF-IDF procedure. ArXiv, doi: 10.48550/arXiv.2203.05794

Han J, Zhang Y, Wang C, Bai W, Wang Y, Han G, Li L. 2008. Rangeland degradation and restoration management in China. Rangeland Journal30, 233–239.

Handlová V, Münzbergová Z. 2006. Seed banks of managed and degraded grasslands in the Krkonoše Mts, Czech Republic. Folia Geobotanica41, 275–288.

Hong T, Lin C, Yang K, Wang S. 2013. Using TF-IDF to hide sensitive itemsets. Applied Intelligence38, 502–510.

Hussain R I, Brandl M, Maas B, Rabl D, Walcher R, Krautzer B, Entling M H, Moser D, Frank T. 2021. Re-established grasslands on farmland promote pollinators more than predators. AgricultureEcosystems & Environment319, 107543.

Isbell F, Craven D, Connolly J, Loreau M, Schmid B, Beierkuhnlein C, Bezemer T M, Bonin C, Bruelheide H, De Luca E. 2015. Biodiversity increases the resistance of ecosystem productivity to climate extremes. Nature526, 574–577.

Jackson S T, Hobbs R J. 2009. Ecological restoration in the light of ecological history. Science325, 567–569.

Johansen M P, Hakonson T E, Breshears D D. 2001. Post-fire runoff and erosion from rainfall simulation: Contrasting forests with shrublands and grasslands. Hydrological Processes15, 2953–2965.

Jung H S, Lee H, Kim J H. 2023. Unveiling cryptocurrency conversations: Insights from data mining and unsupervised learning across multiple platforms. IEEE Access11, 130573–130583.

Karabacak M, Schupper A J, Carr M T, Hickman Z L, Margetis K. 2022. From text to insight: A natural language processing-based analysis of topics and trends in neurosurgery. Neurosurgery94, 679–689.

Kemp D, Michalk D. 2007. Towards sustainable grassland and livestock management. The Journal of Agricultural Science145, 543–564.

Lahat D, Adali T, Jutten C. 2015. Multimodal data fusion: An overview of methods, challenges, and prospects. Proceedings of the IEEE103, 1449–1477.

Lee H, Lee S H, Lee K R, Kim J H. 2023. ESG discourse analysis through BERTopic: Comparing news articles and academic papers. ComputersMaterials & Continua75, 6023–6037.

Lee S, Dunn R, Young R, Connolly R, Dale P, Dehayr R, Lemckert C, McKinnon S, Powell B, Teasdale P. 2006. Impact of urbanization on coastal wetland structure and function. Austral Ecology31, 149–163.

Leff J W, Jones S E, Prober S M, Barberán A, Borer E T, Firn J L, Harpole W S, Hobbie S E, Hofmockel K S, Knops J M. 2015. Consistent responses of soil microbial communities to elevated nutrient inputs in grasslands across the globe. Proceedings of the National Academy of Sciences of the United States of America112, 10967–10972.

Lehmann M, Meeske R, Cruywagen C W. 2007. Milk production and in sacco disappearance of pasture NDF in grazing Jersey cows receiving a barley based concentrate. South African Journal of Animal Science37, 81–89.

Li H, Qiu Y, Yao T, Han D, Gao Y, Zhang J, Ma Y, Zhang H, Yang X. 2021. Nutrients available in the soil regulate the changes of soil microbial community alongside degradation of alpine meadows in the northeast of the Qinghai-Tibet Plateau. Science of the Total Environment792, 148363.

Li T, Cai S, Singh R K, Cui L, Fava F, Tang L, Xu Z, Cui X, Du J, Hao Y, Liu Y, Wang Y. 2022a. Livelihood resilience in pastoral communities: Methodological and field insights from Qinghai-Tibetan Plateau. Science of the Total Environment838, 155960.

Li T, Cui L, Scotton M, Dong J, Xu Z, Che R, Tang L, Cai S, Wu W, Andreatta D. 2022b. Characteristics and trends of grassland degradation research. Journal of Soils and Sediments22, 1901–1912.

Li T, Cui L, Wu Y, McLaren TI, Xia A, Pandey R, Liu H, Wang W, Xu Z, Song X, Dalal R C, Dang Y P. 2024a. Soil organic carbon estimation via remote sensing and machine learning techniques: Global topic modeling and research trend exploration. Remote Sensing16, 3168.

Li T, Cui L, Xu Z, Hu R, Joshi PK, Song X, Tang L, Xia A, Wang Y, Guo D, Zhu J, Hao Y, Song L, Cui X. 2021. Quantitative analysis of the research trends and areas in grassland remote sensing: A scientometrics analysis of web of science from 1980 to 2020. Remote Sensing13, 1279.

Li T, Singh R K, Cui L, Pandey R, Liu H, Xu Z, Tang L, Du J, Cui X, Wang Y. 2024b. Beyond grassland degradation: Pathways to resilience for pastoralist households in alpine grassland ecosystems. Journal of Environmental Management368, 121992.

Li Y, Dong S, Wen L, Wang X, Wu Y. 2012. Soil seed banks in degraded and revegetated grasslands in the alpine region of the Qinghai-Tibetan Plateau. Ecological Engineering49, 77–83.

Liu B, Chang W. 2012. A novel range-spread target detection approach for frequency stepped chirp radar. Progress in Electromagnetics Research131, 275–292.

Liu B, You G, Li R, Shen W, Yue Y, Lin N. 2015. Spectral characteristics of alpine grassland and their changes responding to grassland degradation on the Tibetan Plateau. Environmental Earth Sciences74, 2115–2123.

Liu H, Mi Z, Lin L, Wang Y, Zhang Z, Zhang F, Wang H, Liu L, Zhu B, Cao G. 2018. Shifting plant species composition in response to climate change stabilizes grassland primary production. Proceedings of the National Academy of Sciences of the United States of America115, 4051–4056.

Liu H, Wen P, Jiang H, He Y. 2016. Wideband and low-loss high-temperature superconducting bandpass filter based on metamaterial stepped-impedance resonator. IEEE Transactions on Applied Superconductivity26, 1–4.

Liu Y, Zha Y, Gao J, Ni S. 2004. Assessment of grassland degradation near Lake Qinghai, West China, using Landsat TM and in situ reflectance spectra data. International Journal of Remote Sensing25, 4177–4189.

Lougheed V L, Mcintosh M D, Parker C A, Stevenson R J. 2008. Wetland degradation leads to homogenization of the biota at local and landscape scales. Freshwater Biology53, 2402–2413.

Mäler K G. 2000. Development, ecological resources and their management: A study of complex dynamic systems. European Economic Review44, 645–665.

McInnes L, Healy J, Astels S. 2017. Hdbscan: Hierarchical density based clustering. The Journal of Open Source Software2, 205.

Meng W, He M, Hu B, Mo X, Li H, Liu B, Wang Z. 2017. Status of wetlands in China: A review of extent, degradation, issues and recommendations for improvement. Ocean & Coastal Management146, 50–59.

Milazzo F, Francksen R M, Zavattaro L, Abdalla M, Hejduk S, Enri S R, Pittarello M, Price P N, Schils R L, Smith P. 2023. The role of grassland for erosion and flood mitigation in Europe: A meta-analysis. AgricultureEcosystems & Environment348, 108443.

Moritz M A, Batllori E, Bradstock R A, Gill A M, Handmer J, Hessburg P F, Leonard J, McCaffrey S, Odion D C, Schoennagel T. 2014. Learning to coexist with wildfire. Nature515, 58–66.

Nagelkerken I, Sheaves M, Baker R, Connolly R M. 2015. The seascape nursery: A novel spatial approach to identify and manage nurseries for coastal marine fauna. Fish and Fisheries16, 362–371.

Nitsch H, Osterburg B, Roggendorf W, Laggner B. 2012. Cross compliance and the protection of grassland - Illustrative analyses of land use transitions between permanent grassland and arable land in German regions. Land Use Policy29, 440–448.

Niu Y, Zhu H, Yang S, Ma S, Zhou J, Chu B, Hua R, Hua L. 2019. Overgrazing leads to soil cracking that later triggers the severe degradation of alpine meadows on the Tibetan Plateau. Land Degradation & Development30, 1243–1257.

Okpara U T, Stringer L C, Akhtar-Schuster M, Metternicht G I, Dallimer M, Requier-Desjardins M. 2018. A social-ecological systems approach is necessary to achieve land degradation neutrality. Environmental Science & Policy89, 59–66.

Olsson P, Folke C, Hahn T. 2004. Social-ecological transformation for ecosystem management: The development of adaptive co-management of a wetland landscape in southern Sweden. Ecology and Society9, 2.

Pi W, Du J, Bi Y, Gao X, Zhu X. 2021. 3D-CNN based UAV hyperspectral imagery for grassland degradation indicator ground object classification research. Ecological Informatics62, 101278.

Poister D, Armstrong D E, Hurley J P. 1999. Influences of grazing on temporal patterns of algal pigments in suspended and sedimenting algae in a north temperate lake. Canadian Journal of Fisheries and Aquatic Sciences56, 60–69.

Prober S M, Leff J W, Bates S T, Borer E T, Firn J, Harpole W S, Lind E M, Seabloom E W, Adler P B, Bakker J D. 2015. Plant diversity predicts beta but not alpha diversity of soil microbes across grasslands worldwide. Ecology Letters18, 85–95.

Pullanagari R, Dehghan-Shoar M, Yule I J, Bhatia N. 2021. Field spectroscopy of canopy nitrogen concentration in temperate grasslands using a convolutional neural network. Remote Sensing of Environment257, 112353.

Qaiser S, Ali R. 2018. Text mining: Use of TF-IDF to examine the relevance of words to documents. International Journal of Computer Applications181, 25–29.

Reed M S, Stringer L C, Dougill A J, Perkins J S, Atlhopheng J R, Mulale K, Favretto N. 2015. Reorienting land degradation towards sustainable land management: Linking sustainable livelihoods with ecosystem services in rangeland systems. Journal of Environmental Management151, 472–485.

Reinermann S, Asam S, Kuenzer C. 2020. Remote sensing of grassland production and management - A review. Remote Sensing12, 1949.

Ren Y, Lü Y, Fu B. 2016. Quantifying the impacts of grassland restoration on biodiversity and ecosystem services in China: A meta-analysis. Ecological Engineering95, 542–550.

Ruíz J M, Perez M, Romero J, Tomas F. 2009. The importance of herbivory in the decline of a seagrass (Posidonia oceanica) meadow near a fish farm: An experimental approach. Botanica Marina52, 449–458.

Sánchez-Jerez P, Ramos-Esplá A. 2000. Changes in fish assemblages associated with the deployment of an antitrawling reef in seagrass meadows. Transactions of the American Fisheries Society129, 1150–1159.

Scheffer M, Carpenter S, Foley J A, Folke C, Walker B. 2001. Catastrophic shifts in ecosystems. Nature413, 591–596.

Strassburg B B, Iribarrem A, Beyer H L, Cordeiro C L, Crouzeilles R, Jakovac C C, Braga Junqueira A, Lacerda E, Latawiec A E, Balmford A. 2020. Global priority areas for ecosystem restoration. Nature586, 724–729.

Strom S L, Morello T A, Bright K J. 1998. Protozoan size influences algal pigment degradation during grazing. Marine Ecology Progress Series164, 189–197.

Sun J, Wang Y, Piao S, Liu M, Han G, Li J, Liang E, Lee T M, Liu G, Wilkes A. 2022. Toward a sustainable grassland ecosystem worldwide. The Innovation3, 100265.

Taube F, Gierus M, Hermann A, Loges R, Schönbach P. 2014. Grassland and globalization- Challenges for northwest European grass and forage research. Grass and Forage Science69, 2–16.

Terrados J, Ramírez-García P. 2011. Cover and edge length to area ratio of seagrass (Thalassia testudinum) meadows in coral reef lagoons (Veracruz Reef System, Southwest Gulf of México). Aquatic Conservation (Marine and Freshwater Ecosystems), 21, 224–230.

Tessema Z K, de Boer W F, Baars R M, Prins H H. 2012. Influence of grazing on soil seed banks determines the restoration potential of aboveground vegetation in a semi-arid savanna of Ethiopia. Biotropica44, 211–219.

Tijssen R J, Van Raan A F. 1994. Mapping changes in science and technology: Bibliometric co-occurrence analysis of the R&D literature. Evaluation Review18, 98–115.

Tilman D, Downing J A. 1994. Biodiversity and stability in grasslands. Nature367, 363–365.

Tilman D, Reich P B, Knops J M. 2006. Biodiversity and ecosystem stability in a decade-long grassland experiment. Nature441, 629–632.

Tilman D, Wedin D, Knops J. 1996. Productivity and sustainability influenced by biodiversity in grassland ecosystems. Nature379, 718–720.

Toledo D, Kreuter U P, Sorice M G, Taylor Jr C A. 2014. The role of prescribed burn associations in the application of prescribed fires in rangeland ecosystems. Journal of Environmental Management132, 323–328.

Tsalyuk M, Kelly M, Getz W M. 2017. Improving the prediction of African savanna vegetation variables using time series of MODIS products. ISPRS Journal of Photogrammetry and Remote Sensing131, 77–91.

Twidwell D, Rogers W E, Fuhlendorf S D, Wonkka C L, Engle D M, Weir J R, Kreuter U P, Taylor Jr C A. 2013. The rising Great Plains fire campaign: Citizens’ response to woody plant encroachment. Frontiers in Ecology and the Environment11, e64–e71.

Walsh J R, Carpenter S R, Vander Zanden M J. 2016. Invasive species triggers a massive loss of ecosystem services through a trophic cascade. Proceedings of the National Academy of Sciences of the United States of America113, 4081–4085.

Wang C, Liu Z, Yu W, Ye X, Ma L, Wang R, Huang Z, Liu G. 2022. Grassland degradation has stronger effects on soil fungal community than bacterial community across the semi-arid region of northern China. Plants11, 3488.

Wang Y, Wang C, Shi Q, Huang J, Yuan N. 2023. Advancing stepped-waveform radar jamming techniques for robust false-target generation against LFM-CFAR systems. Sensors23, 7782.

Van Eck N, Waltman L. 2010. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics84, 523–538.

Van der Werf G R, Randerson J T, Giglio L, Collatz G J, Mu M, Kasibhatla P S, Morton D C, DeFries R S, Jin Y V, van Leeuwen T T. 2010. Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997–2009). Atmospheric Chemistry and Physics10, 11707–11735.

Vayansky I, Kumar S A. 2020. A review of topic modeling methods. Information Systems94, 101582.

Williams Y J, Walker G P, Doyle P T, Egan A R, Stockdale C R. 2005. Rumen fermentation characteristics of dairy cows grazing different allowances of Persian clover-or perennial ryegrass-dominant swards in spring. Australian Journal of Experimental Agriculture45, 665–675.

Williams Y J, Wales W J, Doyle P T, Egan A R, Stockdale C R. 2006. Effects of grain or hay supplementation on the chewing behaviour and stability of rumen fermentation of dairy cows grazing perennial ryegrass-based pasture in spring. Australian Journal of Experimental Agriculture45, 1519–1528.

Wu H C, Luk R W P, Wong K F, Kwok K L. 2008. Interpreting TF-IDF term weights as making relevance decisions. ACM Transactions on Information Systems (TOIS), 26, 1–37.

Xie L, Chen Z, Wang H, Zheng C, Jiang J. 2020. Bibliometric and visualized analysis of scientific publications on atlantoaxial spine surgery based on Web of Science and VOSviewer. World Neurosurgery137, 435–442.

Yahav I, Shehory O, Schwartz D. 2018. Comments mining with TF-IDF: The inherent bias and its removal. IEEE Transactions on Knowledge and Data Engineering31, 437–450.

Yan Y, Tao Y, Jin S, Xu J, Lin H. 2019. An interactive visual analytics system for incremental classification based on semi-supervised topic modeling. In: 2019 IEEE Pacific Visualization Symposium (PacificVis). pp. 148–157.

Yang D, Kanae S, Oki T, Koike T, Musiake K. 2003. Global potential soil erosion with reference to land use and climate changes. Hydrological Processes17, 2913–2928.

Zankadi H, Idrissi A, Daoudi N, Hilal I. 2023. Identifying learners’ topical interests from social media content to enrich their course preferences in MOOCs using topic modeling and NLP techniques. Education and Information Technologies28, 5567–5584.

Zhang C, Liu G, Song Z, Wang J, Guo L. 2018. Interactions of soil bacteria and fungi with plants during long-term grazing exclusion in semiarid grasslands. Soil Biology and Biochemistry124, 47–58.

Zheng Z, Wu Z, Chen Y, Yang Z, Marinello F. 2020. Exploration of eco-environment and urbanization changes in coastal zones: A case study in China over the past 20 years. Ecological Indicators119, 106847.

Zupic I, Čater T. 2015. Bibliometric methods in management and organization. Organizational Research Methods18, 429–472.

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[2] WANG De-sheng, LIU Jun-zhi, ZHU A-xing, WANG Shu, ZENG Can-ying, MA Tian-wu. Automatic extraction and structuration of soil–environment relationship information from soil survey reports[J]. >Journal of Integrative Agriculture, 2019, 18(2): 328-339.
[3] Asanee Kawtrakul. Ontology Engineering and Knowledge Services for Agriculture Domain[J]. >Journal of Integrative Agriculture, 2012, 11(5): 741-751.
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