Climate Change and Plant Health: A Bibliometric Analysis

Faruk Öncü, Serkan Yeşil, Kubilay Kurtuluş Baştaş

Abstract


Climate change, the effects of which are becoming more evident day by day, is seen as a serious threat to sustainable agriculture. As a result of the diseases and pests being affected by climate change, it is inevitable that changes will occur in the state of plant health, which has an important place in sustainable agriculture. Evaluation and analysis of the literature is of great importance, as research and assessments focusing on the impact of climate change on plant health use current knowledge. In this study, which was carried out to contribute to the aforementioned subject, bibliometric analysis was performed on the indexed researches on climate change and plant health in the Web of Science (WoS) database according to the determined search query. Information on different subjects such as authors, countries, published journals, citations, sources used and keywords related to the studies were analyzed with the Bibliometrix package developed in R software and the data were visualized. Quantitative results were obtained on subjects such as prominent authors, journals, countries, and common keywords as a result of bibliometric analyses. According to the results, the importance of multidisciplinary studies is becoming more and more important. In addition, it is gaining popularity to benefit from technological developments in the face of changing and emerging needs in the processing of all kinds of information about climate change. This study was carried out to show that there is an alternative way to gain a general perspective on climate change-related issues in similar studies to be carried out. It is thought that these and similar bibliometric analysis studies can contribute to the execution of more successful studies, thanks to the information on different topics they provide.

Keywords


bibliometric; bibliometrix; climate change; plant disease; plant health

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References


underestimation of global vulnerability to tree mortality and forest die-off from hotter drought in the Anthropocene. Ecosphere 6:art129. https://doi.org/10.1890/ES15-00203.1

Andrivon D, Montarry J, Fournet S (2022). Plant Health in a One Health world: missing links and hidden treasures. Plant Pathology 71:23–29. https://doi.org/10.1111/ppa.13463

Aria M, Cuccurullo C (2017). bibliometrix : An R-tool for comprehensive science mapping analysis. Journal of Informetrics 11:959–975. https://doi.org/10.1016/j.joi.2017.08.007

Bale JS, Masters GJ, Hodkinson ID, Awmack C, Bezemer TM, Brown VK, Butterfield J, Buse A, Coulson JC, Farrar J, Good JEG, Harrington R, Hartley S, Jones TH, Lindroth RL, Press MC, Symrnioudis I, Watt AD, Whittaker JB (2002). Herbivory in global climate change research: direct effects of rising temperature on insect herbivores. Global Change Biology 8:1–16. https://doi.org/10.1046/j.1365-2486.2002.00451.x

Coakley SM, Scherm H, Chakraborty S (1999). Climate change and plant disease management. Annu. Rev. Phytopathol. 37:399–426. https://doi.org/10.1146/annurev.phyto.37.1.399

Donthu N, Kumar S, Mukherjee D, Pandey N, Lim WM (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research 133:285–296. https://doi.org/10.1016/j.jbusres.2021.04.070

Fu H-Z, Waltman L (2022). A large-scale bibliometric analysis of global climate change research between 2001 and 2018. Climatic Change 170. https://doi.org/10.1007/s10584-022-03324-z

Garrett KA, Dendy SP, Frank EE, Rouse MN, Travers SE (2006). Climate change effects on plant disease: genomes to ecosystems. Annu Rev Phytopathol 44:489–509. https://doi.org/10.1146/annurev.phyto.44.070505.143420

Gilman SE, Urban MC, Tewksbury J, Gilchrist GW, Holt RD (2010). A framework for community interactions under climate change. Trends Ecol Evol (Amst ) 25:325–331. https://doi.org/10.1016/j.tree.2010.03.002

Hatfield JL, Boote KJ, Kimball BA, Ziska LH, Izaurralde RC, Ort D, Thomson AM, Wolfe D (2011). Climate Impacts on Agriculture: Implications for Crop Production. Agronomy Journal 103:351–370. https://doi.org/10.2134/agronj2010.0303

Hellmann JJ, Byers JE, Bierwagen BG, Dukes JS (2008). Five potential consequences of climate change for invasive species. Conserv Biol 22:534–543. https://doi.org/10.1111/j.1523-1739.2008.00951.x

Jeger MJ, Beresford R, Bock C, Brown N, Fox A, Newton AC, Vicent A, Xu X, Yuen J (2021). Global challenges facing plant pathology: multidisciplinary approaches to meet the food security and environmental challenges in the mid-twenty-first century. CABI Agric Biosci 2:1–18. https://doi.org/10.1186/s43170-021-00042-x

Kriticos DJ, Webber BL, Leriche A, Ota N, Macadam I, Bathols J, Scott JK (2012). CliMond: global high-resolution historical and future scenario climate surfaces for bioclimatic modelling. Methods Ecol Evol 3:53–64. https://doi.org/10.1111/j.2041-210X.2011.00134.x

Malhi GS, Kaur M, Kaushik P (2021). Impact of Climate Change on Agriculture and Its Mitigation Strategies: A Review. Sustainability 13:1318. https://doi.org/10.3390/su13031318

Moral-Muñoz JA, Herrera-Viedma E, Santisteban-Espejo A, Cobo MJ (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. Profesional de la información 29. https://doi.org/10.3145/epi.2020.ene.03

Morris CE, Géniaux G, Nédellec C, Sauvion N, Soubeyrand S (2022). One Health concepts and challenges for surveillance, forecasting, and mitigation of plant disease beyond the traditional scope of crop production. Plant Pathology 71:86–97. https://doi.org/10.1111/ppa.13446

Priyanka MAK, Varma S, Kumar V, Sharma RS (2020). Impact of climate change on plant diseases and management strategies: A review. Int. J. Chem. Stud. 8:2968–2973. https://doi.org/10.22271/chemi.2020.v8.i2at.9203

R Core Team (2021). R: A Language and Environment for Statistical Computing: R Foundation for Statistical Computing

RStudio Team (2020). RStudio: Integrated Development Environment for R

Sarkar A, Wang H, Rahman A, Memon WH, Qian L (2022). A bibliometric analysis of sustainable agriculture: based on the Web of Science (WOS) platform. Environ Sci Pollut Res Int 29:38928–38949. https://doi.org/10.1007/s11356-022-19632-x

Sweileh WM (2020). Bibliometric analysis of peer-reviewed literature on food security in the context of climate change from 1980 to 2019. Agric & Food Secur 9. https://doi.org/10.1186/s40066-020-00266-6

Walther G-R, Roques A, Hulme PE, Sykes MT, Pysek P, Kühn I, Zobel M, Bacher S, Botta-Dukát Z, Bugmann H, Czúcz B, Dauber J, Hickler T, Jarosík V, Kenis M, Klotz S, Minchin D, Moora M, Nentwig W, Ott J, Panov VE, Reineking B, Robinet C, Semenchenko V, Solarz W, Thuiller W, Vilà M, Vohland K, Settele J (2009). Alien species in a warmer world: risks and opportunities. Trends Ecol Evol (Amst ) 24:686–693. https://doi.org/10.1016/j.tree.2009.06.008

Wickham H, Averick M, Bryan J, Chang W, McGowan L, François R, Grolemund G, Hayes A, Henry L, Hester J, Kuhn M, Pedersen T, Miller E, Bache S, Müller K, Ooms J, Robinson D, Seidel D, Spinu V, Takahashi K, Vaughan D, Wilke C, Woo K, Yutani H (2019). Welcome to the Tidyverse. JOSS 4:1686. https://doi.org/10.21105/joss.01686

Yuan B-Z, Sun J (2022). Bibliometric analysis of rice and climate change publications based on Web of Science. Theor Appl Climatol 150:347–362. https://doi.org/10.1007/s00704-022-04169-3.


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