IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v12y2022i11p1759-d952083.html
   My bibliography  Save this article

Potential Global Distribution of Invasive Alien Species, Anthonomus grandis Boheman, under Current and Future Climate Using Optimal MaxEnt Model

Author

Listed:
  • Zhenan Jin

    (Collage of Plant Science & Technology of Huazhong Agricultural University, Wuhan 430070, China
    State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Science, Beijing 100193, China)

  • Wentao Yu

    (Fujian Key Laboratory for Technology Research of Inspection and Quarantine, Technology Centre of Fuzhou Customs, Fuzhou 350001, China)

  • Haoxiang Zhao

    (State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Science, Beijing 100193, China)

  • Xiaoqing Xian

    (State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Science, Beijing 100193, China)

  • Kaiting Jing

    (State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Science, Beijing 100193, China)

  • Nianwan Yang

    (State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Science, Beijing 100193, China
    Western Agricultural Research Center, Chinese Academy of Agricultural Sciences, Changji 831100, China)

  • Xinmin Lu

    (Collage of Plant Science & Technology of Huazhong Agricultural University, Wuhan 430070, China)

  • Wanxue Liu

    (State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Science, Beijing 100193, China)

Abstract

The boll weevil, Anthonomus grandis Boheman (Coleoptera: Curculionidae), is an invasive alien species that can damage cotton plants and cause huge economic losses in the cotton industry. Currently, A. grandis is mainly distributed in the American continent. However, few studies have indicated the distribution and modification of its suitable global habitats after undergoing climate change. Based on the 339 distribution records of A. grandis and eight bioclimatic variables, we used the optimal MaxEnt model to predict the potential global distribution of A. grandis under the current (1970–2000) and future climatic scenarios (SSP5-8.5). The annual mean temperature (bio1) and isothermality (bio3) were the two most important bioclimatic variables, which indicates that the survival of A. grandis is extremely sensitive to temperature fluctuations. Under the current scenario, the highly suitable habitats were mainly distributed in America (the USA, Mexico, Brazil, Argentina, Paraguay, and Uruguay), Africa (South Africa, Ethiopia, and Mozambique), Asia (Pakistan, India, Thailand, Burma, and China), and Oceania (Australia). In future scenarios (SSP5-8.5), the potential suitable global habitats reached the highest level in America, Africa, Asia, and Oceania in the 2090s. Our study provides a meaningful reference for researchers, quarantine officers, and governments to devise suitable management control strategies for A. grandis .

Suggested Citation

  • Zhenan Jin & Wentao Yu & Haoxiang Zhao & Xiaoqing Xian & Kaiting Jing & Nianwan Yang & Xinmin Lu & Wanxue Liu, 2022. "Potential Global Distribution of Invasive Alien Species, Anthonomus grandis Boheman, under Current and Future Climate Using Optimal MaxEnt Model," Agriculture, MDPI, vol. 12(11), pages 1-14, October.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:11:p:1759-:d:952083
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/12/11/1759/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/12/11/1759/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Francesca Raffini & Giorgio Bertorelle & Roberto Biello & Guido D’Urso & Danilo Russo & Luciano Bosso, 2020. "From Nucleotides to Satellite Imagery: Approaches to Identify and Manage the Invasive Pathogen Xylella fastidiosa and Its Insect Vectors in Europe," Sustainability, MDPI, vol. 12(11), pages 1-38, June.
    2. Christophe Diagne & Boris Leroy & Anne-Charlotte Vaissière & Rodolphe E. Gozlan & David Roiz & Ivan Jarić & Jean-Michel Salles & Corey J. A. Bradshaw & Franck Courchamp, 2021. "High and rising economic costs of biological invasions worldwide," Nature, Nature, vol. 592(7855), pages 571-576, April.
    3. Lange, Fabian & Olmstead, Alan L. & Rhode, Paul W., 2009. "The Impact of the Boll Weevil, 1892–1932," The Journal of Economic History, Cambridge University Press, vol. 69(3), pages 685-718, September.
    4. Peterson, A. Townsend & Papeş, Monica & Soberón, Jorge, 2008. "Rethinking receiver operating characteristic analysis applications in ecological niche modeling," Ecological Modelling, Elsevier, vol. 213(1), pages 63-72.
    Full references (including those not matched with items on IDEAS)

    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. Stephan E. Maurer & Andrei V. Potlogea, 2021. "Male‐biased Demand Shocks and Women's Labour Force Participation: Evidence from Large Oil Field Discoveries," Economica, London School of Economics and Political Science, vol. 88(349), pages 167-188, January.
    2. Václavík, Tomáš & Meentemeyer, Ross K., 2009. "Invasive species distribution modeling (iSDM): Are absence data and dispersal constraints needed to predict actual distributions?," Ecological Modelling, Elsevier, vol. 220(23), pages 3248-3258.
    3. Haoxiang Zhao & Shanqing Yi & Yu Zhang & Nianwan Yang & Jianyang Guo & Hongmei Li & Xiaoqing Xian & Wanxue Liu, 2024. "Estimating the Optimal Control Areas of Two Classical Biocontrol Agents Against the Fall Armyworm Based on Hotspot Matching Analysis," Agriculture, MDPI, vol. 14(12), pages 1-14, December.
    4. Ramos, Rodrigo Soares & Kumar, Lalit & Shabani, Farzin & Picanço, Marcelo Coutinho, 2019. "Risk of spread of tomato yellow leaf curl virus (TYLCV) in tomato crops under various climate change scenarios," Agricultural Systems, Elsevier, vol. 173(C), pages 524-535.
    5. Tabellini, Marco, 2020. "Racial Heterogeneity and Local Government Finances: Evidence from the Great Migration," CEPR Discussion Papers 14319, C.E.P.R. Discussion Papers.
    6. Lin, Yu-Pin & Wang, Cheng-Long & Yu, Hsiao-Hsuan & Huang, Chung-Wei & Wang, Yung-Chieh & Chen, Yu-Wen & Wu, Wei-Yao, 2011. "Monitoring and estimating the flow conditions and fish presence probability under various flow conditions at reach scale using genetic algorithms and kriging methods," Ecological Modelling, Elsevier, vol. 222(3), pages 762-775.
    7. Martín, Gerardo & Yáñez-Arenas, Carlos & Chiappa-Carrara, Xavier, 2022. "Discrepancies between point process models and environmental envelopes identify the niche centroid – geography configuration," Ecological Modelling, Elsevier, vol. 469(C).
    8. Jung, Yeonha, 2018. "The Legacy of King Cotton: Agricultural Patterns and the Quality of Structural Change," SocArXiv trjfz, Center for Open Science.
    9. Danish A. Ahmed & Phillip J. Haubrock & Ross N. Cuthbert & Alok Bang & Ismael Soto & Paride Balzani & Ali Serhan Tarkan & Rafael L. Macêdo & Laís Carneiro & Thomas W. Bodey & Francisco J. Oficialdegui, 2023. "Recent advances in availability and synthesis of the economic costs of biological invasions," Post-Print hal-04148456, HAL.
    10. Antonín Kouba & Francisco J Oficialdegui & Ross N Cuthbert & Melina Kourantidou & Josie South & Elena Tricarico & Rodolphe E Gozlan & Franck Courchamp & Phillip J Haubrock, 2022. "Identifying economic costs and knowledge gaps of invasive aquatic crustaceans," Post-Print hal-03860579, HAL.
    11. Bragança, Arthur Amorim, 2018. "The Economic Consequences of the Agricultural Expansion in Matopiba," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 72(2), June.
    12. Ager, Philipp & Brückner, Markus & Herz, Benedikt, 2014. "Effects of Agricultural Productivity Shocks on Female Labor Supply: Evidence from the Boll Weevil Plague in the US South," MPRA Paper 59410, University Library of Munich, Germany.
    13. Soria-Auza, Rodrigo W. & Kessler, Michael & Bach, Kerstin & Barajas-Barbosa, Paola M. & Lehnert, Marcus & Herzog, Sebastian K. & Böhner, Jürgen, 2010. "Impact of the quality of climate models for modelling species occurrences in countries with poor climatic documentation: a case study from Bolivia," Ecological Modelling, Elsevier, vol. 221(8), pages 1221-1229.
    14. Yinglian Qi & Xiaoyan Pu & Yaxiong Li & Dingai Li & Mingrui Huang & Xuan Zheng & Jiaxin Guo & Zhi Chen, 2022. "Prediction of Suitable Distribution Area of Plateau pika ( Ochotona curzoniae ) in the Qinghai–Tibet Plateau under Shared Socioeconomic Pathways (SSPs)," Sustainability, MDPI, vol. 14(19), pages 1-23, September.
    15. Carlos Yañez-Arenas & A. Townsend Peterson & Karla Rodríguez-Medina & Narayani Barve, 2016. "Mapping current and future potential snakebite risk in the new world," Climatic Change, Springer, vol. 134(4), pages 697-711, February.
    16. Daniela Remolina-Figueroa & David A. Prieto-Torres & Wesley Dáttilo & Ernesto Salgado Díaz & Laura E. Nuñez Rosas & Claudia Rodríguez-Flores & Adolfo G. Navarro-Sigüenza & María del Coro Arizmendi, 2022. "Together forever? Hummingbird-plant relationships in the face of climate warming," Climatic Change, Springer, vol. 175(1), pages 1-21, November.
    17. Thomas W Bodey & Zachary T Carter & Phillip J Haubrock & Ross N Cuthbert & Melissa J Welsh & Christophe Diagne & Franck Courchamp, 2022. "Building a synthesis of economic costs of biological invasions in New Zealand," Post-Print hal-03860523, HAL.
    18. Herkt, K. Matthias B. & Barnikel, Günter & Skidmore, Andrew K. & Fahr, Jakob, 2016. "A high-resolution model of bat diversity and endemism for continental Africa," Ecological Modelling, Elsevier, vol. 320(C), pages 9-28.
    19. Huihui Zhang & Xiao Sun & Guoshuai Zhang & Xinke Zhang & Yujing Miao & Min Zhang & Zhan Feng & Rui Zeng & Jin Pei & Linfang Huang, 2022. "Potential Global Distribution of the Habitat of Endangered Gentiana rhodantha Franch : Predictions Based on MaxEnt Ecological Niche Modeling," Sustainability, MDPI, vol. 15(1), pages 1-22, December.
    20. Priscila Villalobos Perna & Mirko Di Febbraro & Maria Laura Carranza & Flavio Marzialetti & Michele Innangi, 2023. "Remote Sensing and Invasive Plants in Coastal Ecosystems: What We Know So Far and Future Prospects," Land, MDPI, vol. 12(2), pages 1-16, January.

    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:jagris:v:12:y:2022:i:11:p:1759-:d:952083. 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.