IDEAS home Printed from https://ideas.repec.org/a/spr/climat/v134y2016i4p697-711.html
   My bibliography  Save this article

Mapping current and future potential snakebite risk in the new world

Author

Listed:
  • Carlos Yañez-Arenas
  • A. Townsend Peterson
  • Karla Rodríguez-Medina
  • Narayani Barve

Abstract

Snakebite envenoming is an important public health concern worldwide. In the Americas, ~300,000 bites occur annually, leaving 84,110–140,981 envenomings and 652–3466 deaths. Here, we modeled current and future snakebite risk using ecological niche models (ENMs) of 90 venomous snake taxa. Current snakebite risk predictions were corroborated by incidence data from eight regions/periods with different characteristics. Detailed projections of potential future range shifts on distributions of the medically most relevant species indicated that North American species’ ranges are likely to increase in the future, but mixed results were obtained for Latin American snakes. A likely expansion of overall risk area and an increase of rural population at risk were observed from a consensus model among future scenarios. Our study highlights the capacity of ENMs to provide detailed information on current and future potential distributions of venomous snakes, as well as useful perspectives on snakebite risk, at least broad scales. Copyright Springer Science+Business Media Dordrecht 2016

Suggested Citation

  • 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.
  • Handle: RePEc:spr:climat:v:134:y:2016:i:4:p:697-711
    DOI: 10.1007/s10584-015-1544-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10584-015-1544-6
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10584-015-1544-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. A. Townsend Peterson & Miguel A. Ortega-Huerta & Jeremy Bartley & Victor Sánchez-Cordero & Jorge Soberón & Robert H. Buddemeier & David R. B. Stockwell, 2002. "Future projections for Mexican faunas under global climate change scenarios," Nature, Nature, vol. 416(6881), pages 626-629, April.
    2. Boria, Robert A. & Olson, Link E. & Goodman, Steven M. & Anderson, Robert P., 2014. "Spatial filtering to reduce sampling bias can improve the performance of ecological niche models," Ecological Modelling, Elsevier, vol. 275(C), pages 73-77.
    3. Javier Nori & Paola Carrasco & Gerardo Leynaud, 2014. "Venomous snakes and climate change: ophidism as a dynamic problem," Climatic Change, Springer, vol. 122(1), pages 67-80, January.
    4. Owens, Hannah L. & Campbell, Lindsay P. & Dornak, L. Lynnette & Saupe, Erin E. & Barve, Narayani & Soberón, Jorge & Ingenloff, Kate & Lira-Noriega, Andrés & Hensz, Christopher M. & Myers, Corinne E. &, 2013. "Constraints on interpretation of ecological niche models by limited environmental ranges on calibration areas," Ecological Modelling, Elsevier, vol. 263(C), pages 10-18.
    5. Camille Parmesan & Gary Yohe, 2003. "A globally coherent fingerprint of climate change impacts across natural systems," Nature, Nature, vol. 421(6918), pages 37-42, January.
    6. Carlos Yañez-Arenas & A Townsend Peterson & Pierre Mokondoko & Octavio Rojas-Soto & Enrique Martínez-Meyer, 2014. "The Use of Ecological Niche Modeling to Infer Potential Risk Areas of Snakebite in the Mexican State of Veracruz," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-9, June.
    7. 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.
    8. Barve, Narayani & Barve, Vijay & Jiménez-Valverde, Alberto & Lira-Noriega, Andrés & Maher, Sean P. & Peterson, A. Townsend & Soberón, Jorge & Villalobos, Fabricio, 2011. "The crucial role of the accessible area in ecological niche modeling and species distribution modeling," Ecological Modelling, Elsevier, vol. 222(11), pages 1810-1819.
    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. Carlos A Bravo-Vega & Juan M Cordovez & Camila Renjifo-Ibáñez & Mauricio Santos-Vega & Mahmood Sasa, 2019. "Estimating snakebite incidence from mathematical models: A test in Costa Rica," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 13(12), pages 1-16, December.
    2. Sillero, Neftalí & Arenas-Castro, Salvador & Enriquez‐Urzelai, Urtzi & Vale, Cândida Gomes & Sousa-Guedes, Diana & Martínez-Freiría, Fernando & Real, Raimundo & Barbosa, A.Márcia, 2021. "Want to model a species niche? A step-by-step guideline on correlative ecological niche modelling," Ecological Modelling, Elsevier, vol. 456(C).
    3. Daniel Zacarias & Rafael Loyola, 2019. "Climate change impacts on the distribution of venomous snakes and snakebite risk in Mozambique," Climatic Change, Springer, vol. 152(1), pages 195-207, January.

    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. 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.
    2. 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.
    3. 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.
    4. Marianna V. P. Simões & Hanieh Saeedi & Marlon E. Cobos & Angelika Brandt, 2021. "Environmental matching reveals non-uniform range-shift patterns in benthic marine Crustacea," Climatic Change, Springer, vol. 168(3), pages 1-20, October.
    5. David A. Prieto-Torres & Luis A. Sánchez-González & Marco F. Ortiz-Ramírez & Jorge E. Ramírez-Albores & Erick A. García-Trejo & Adolfo G. Navarro-Sigüenza, 2021. "Climate warming affects spatio-temporal biodiversity patterns of a highly vulnerable Neotropical avifauna," Climatic Change, Springer, vol. 165(3), pages 1-20, April.
    6. Daniel Zacarias & Rafael Loyola, 2019. "Climate change impacts on the distribution of venomous snakes and snakebite risk in Mozambique," Climatic Change, Springer, vol. 152(1), pages 195-207, January.
    7. Regina Gabriela Medina & Andrés Lira-Noriega & Ezequiel Aráoz & María Laura Ponssa, 2020. "Potential effects of climate change on a Neotropical frog genus: changes in the spatial diversity patterns of Leptodactylus (Anura, Leptodactylidae) and implications for their conservation," Climatic Change, Springer, vol. 161(4), pages 535-553, August.
    8. Carlos Mestanza-Ramón & Robinson J. Herrera Feijoo & Cristhian Chicaiza-Ortiz & Isabel Domínguez Gaibor & Rubén G. Mateo, 2021. "Estimation of Current and Future Suitable Areas for Tapirus pinchaque in Ecuador," Sustainability, MDPI, vol. 13(20), pages 1-14, October.
    9. Fourcade, Yoan, 2021. "Fine-tuning niche models matters in invasion ecology. A lesson from the land planarian Obama nungara," Ecological Modelling, Elsevier, vol. 457(C).
    10. Sillero, Neftalí & Arenas-Castro, Salvador & Enriquez‐Urzelai, Urtzi & Vale, Cândida Gomes & Sousa-Guedes, Diana & Martínez-Freiría, Fernando & Real, Raimundo & Barbosa, A.Márcia, 2021. "Want to model a species niche? A step-by-step guideline on correlative ecological niche modelling," Ecological Modelling, Elsevier, vol. 456(C).
    11. Dana H. Mills & Michael L. McKinney, 2024. "Climate Change and Jump Dispersal Drive Invasion of the Rosy Wolfsnail ( Euglandina rosea ) in the United States," Sustainability, MDPI, vol. 16(5), pages 1-14, February.
    12. 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.
    13. Diederik Strubbe & Laura Jiménez & A. Márcia Barbosa & Amy J. S. Davis & Luc Lens & Carsten Rahbek, 2023. "Mechanistic models project bird invasions with accuracy," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    14. Jiménez, Laura & Soberón, Jorge & Christen, J. Andrés & Soto, Desireé, 2019. "On the problem of modeling a fundamental niche from occurrence data," Ecological Modelling, Elsevier, vol. 397(C), pages 74-83.
    15. Sutton, G.F. & Martin, G.D., 2022. "Testing MaxEnt model performance in a novel geographic region using an intentionally introduced insect," Ecological Modelling, Elsevier, vol. 473(C).
    16. Carlos Yañez-Arenas & A Townsend Peterson & Pierre Mokondoko & Octavio Rojas-Soto & Enrique Martínez-Meyer, 2014. "The Use of Ecological Niche Modeling to Infer Potential Risk Areas of Snakebite in the Mexican State of Veracruz," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-9, June.
    17. Cesar A Marchioro, 2016. "Global Potential Distribution of Bactrocera carambolae and the Risks for Fruit Production in Brazil," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-16, November.
    18. Yilin Chen & Zhiyong Jiang & Ping Fan & Per G. P. Ericson & Gang Song & Xu Luo & Fumin Lei & Yanhua Qu, 2022. "The combination of genomic offset and niche modelling provides insights into climate change-driven vulnerability," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    19. Dubravka Milić & Snežana Radenković & Dimitrije Radišić & Andrijana Andrić & Tijana Nikolić & Ante Vujić, 2019. "Stability and changes in the distribution of Pipiza hoverflies (Diptera, Syrphidae) in Europe under projected future climate conditions," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-19, September.
    20. Boria, Robert A. & Blois, Jessica L., 2018. "The effect of large sample sizes on ecological niche models: Analysis using a North American rodent, Peromyscus maniculatus," Ecological Modelling, Elsevier, vol. 386(C), pages 83-88.

    More about this item

    Statistics

    Access and download statistics

    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:spr:climat:v:134:y:2016:i:4:p:697-711. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.