IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i4p1138-d207943.html
   My bibliography  Save this article

Shifts in Climatic Niche Occupation in Astrophytum Coahuilense (H. Möller) Kayser and Its Potential Distribution in Mexico

Author

Listed:
  • Gabriel Fernando Cardoza-Martínez

    (Laboratorio de ecología pesquera, ictiología y acuacultura, Facultad de Ciencias Biológicas, Universidad Juárez del Estado de Durango. Avenida Universidad s/n, Fraccionamiento Filadelfia, Gómez Palacio, Durango 35010, México)

  • Jorge Luis Becerra-López

    (Laboratorio de Cambio Climático y Conservación de Recursos Naturales, Centro de Estudios Ecológicos, Facultad de Ciencias Biológicas, Universidad Juárez del Estado de Durango. Avenida Universidad s/n, Fraccionamiento Filadelfia, Gómez Palacio, Durango 35010, México)

  • Citlalli Edith Esparza-Estrada

    (Instituto Potosino de Investigación Científica y Tecnológica, División de Ciencias Ambientales. Camino a la Presa San José No. 2055, Colonia Lomas 4ª. Sección, San Luis Potosí, San Luis Potosí 78216, México)

  • José Luis Estrada-Rodríguez

    (Laboratorio de Ecología y Evolución, Centro de Estudios Ecológicos, Facultad de Ciencias Biológicas, Universidad Juárez del Estado de Durango. Avenida Universidad s/n, Fraccionamiento Filadelfia, Gómez Palacio, Durango 35010, México)

  • Alexander Czaja

    (Laboratorio de Ecología y Evolución, Centro de Estudios Ecológicos, Facultad de Ciencias Biológicas, Universidad Juárez del Estado de Durango. Avenida Universidad s/n, Fraccionamiento Filadelfia, Gómez Palacio, Durango 35010, México)

  • Muhammad Ehsan

    (Colegio de Postgraduados, Programa de Edafología, Carretera México-Texcoco km. 36.5, Montecillo, Texcoco, Estado de México 56230, México)

  • Eduardo Baltierra-Trejo

    (CONACyT-Universidad Juárez Autónoma de Tabasco. Laboratorio de Remediación, División Académica de Ciencias Biológicas, Carretera Villahermosa-Cárdenas km 0.5, Villahermosa, Tabasco 86150, México)

  • Ulises Romero-Méndez

    (Laboratorio de Sistemas de información Geográfica, Centro de Estudios Ecológicos, Facultad de Ciencias Biológicas, Universidad Juárez del Estado de Durango. Avenida Universidad s/n, Fraccionamiento Filadelfia, Gómez Palacio, Durango 35010, México)

Abstract

It has frequently been reported that species with strong niche conservatism will not be able to adapt to new climatic conditions, so they must migrate or go extinct. We have evaluated the shifts in climatic niche occupation of the species Astrophytum coahuilense and its potential distribution in Mexico. We understand niche occupation as the geographic zones with available habitats and with the presence of the species. To assess shifts in climatic niche occupation, we used niche overlap analysis, while potential distribution modeling was performed based on the principle of maximum entropy. The results indicate that this species presents a limited amplitude in its climate niche. This restriction of the climatic niche of A. coahuilense limits its ability to colonize new geographical areas with different climatic environments. On the other hand, the potential distribution models obtained from the present study allow us to identify potential zones based on the climatic requirements of the species. This information is important to identify high priority areas for the conservation of A. coahuilense .

Suggested Citation

  • Gabriel Fernando Cardoza-Martínez & Jorge Luis Becerra-López & Citlalli Edith Esparza-Estrada & José Luis Estrada-Rodríguez & Alexander Czaja & Muhammad Ehsan & Eduardo Baltierra-Trejo & Ulises Romero, 2019. "Shifts in Climatic Niche Occupation in Astrophytum Coahuilense (H. Möller) Kayser and Its Potential Distribution in Mexico," Sustainability, MDPI, vol. 11(4), pages 1-13, February.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:4:p:1138-:d:207943
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/4/1138/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/4/1138/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Matthew P Hill & John S Terblanche, 2014. "Niche Overlap of Congeneric Invaders Supports a Single-Species Hypothesis and Provides Insight into Future Invasion Risk: Implications for Global Management of the Bactrocera dorsalis Complex," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-12, February.
    2. C. N. Johnson, 1998. "Species extinction and the relationship between distribution and abundance," Nature, Nature, vol. 394(6690), pages 272-274, July.
    3. Moreno-Amat, Elena & Mateo, Rubén G. & Nieto-Lugilde, Diego & Morueta-Holme, Naia & Svenning, Jens-Christian & García-Amorena, Ignacio, 2015. "Impact of model complexity on cross-temporal transferability in Maxent species distribution models: An assessment using paleobotanical data," Ecological Modelling, Elsevier, vol. 312(C), pages 308-317.
    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. 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.
    2. Uzma Ashraf & Hassan Ali & Muhammad Nawaz Chaudry & Irfan Ashraf & Adila Batool & Zafeer Saqib, 2016. "Predicting the Potential Distribution of Olea ferruginea in Pakistan incorporating Climate Change by Using Maxent Model," Sustainability, MDPI, vol. 8(8), pages 1-11, July.
    3. Amaro, George & Fidelis, Elisangela Gomes & da Silva, Ricardo Siqueira & Marchioro, Cesar Augusto, 2023. "Effect of study area extent on the potential distribution of Species: A case study with models for Raoiella indica Hirst (Acari: Tenuipalpidae)," Ecological Modelling, Elsevier, vol. 483(C).
    4. Zeng, Yiwen & Low, Bi Wei & Yeo, Darren C.J., 2016. "Novel methods to select environmental variables in MaxEnt: A case study using invasive crayfish," Ecological Modelling, Elsevier, vol. 341(C), pages 5-13.
    5. Schartel, Tyler E. & Cao, Yong, 2024. "Background selection complexity influences Maxent predictive performance in freshwater systems," Ecological Modelling, Elsevier, vol. 488(C).
    6. Jorge Luis Becerra-López & Rigoberto Rosales-Serna & Muhammad Ehsan & Jesús Salvador Becerra-López & Alexander Czaja & José Luis Estrada-Rodríguez & Ulises Romero-Méndez & Saúl Santana-Espinosa & Césa, 2020. "Climatic Change and Habitat Availability for Three Sotol Species in México: A Vision towards Their Sustainable Use," Sustainability, MDPI, vol. 12(8), pages 1-12, April.
    7. Duque-Lazo, J. & van Gils, H. & Groen, T.A. & Navarro-Cerrillo, R.M., 2016. "Transferability of species distribution models: The case of Phytophthora cinnamomi in Southwest Spain and Southwest Australia," Ecological Modelling, Elsevier, vol. 320(C), pages 62-70.
    8. Beaumont, Linda J. & Graham, Erin & Duursma, Daisy Englert & Wilson, Peter D. & Cabrelli, Abigail & Baumgartner, John B. & Hallgren, Willow & Esperón-Rodríguez, Manuel & Nipperess, David A. & Warren, , 2016. "Which species distribution models are more (or less) likely to project broad-scale, climate-induced shifts in species ranges?," Ecological Modelling, Elsevier, vol. 342(C), pages 135-146.
    9. Robin Lines & Dimitrios Bormpoudakis & Panteleimon Xofis & Joseph Tzanopoulos, 2021. "Modelling Multi-Species Connectivity at the Kafue-Zambezi Interface: Implications for Transboundary Carnivore Conservation," Sustainability, MDPI, vol. 13(22), pages 1-15, November.
    10. Mateo, Rubén G. & Arellano, Gabriel & Gómez-Rubio, Virgilio & Tello, J. Sebastián & Fuentes, Alfredo F. & Cayola, Leslie & Loza, M. Isabel & Cala, Victoria & Macía, Manuel J., 2022. "Insights on biodiversity drivers to predict species richness in tropical forests at the local scale," Ecological Modelling, Elsevier, vol. 473(C).
    11. Fois, Mauro & Cuena-Lombraña, Alba & Fenu, Giuseppe & Bacchetta, Gianluigi, 2018. "Using species distribution models at local scale to guide the search of poorly known species: Review, methodological issues and future directions," Ecological Modelling, Elsevier, vol. 385(C), pages 124-132.
    12. 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).
    13. Worthington, Thomas A. & Zhang, Tianjiao & Logue, Daniel R. & Mittelstet, Aaron R. & Brewer, Shannon K., 2016. "Landscape and flow metrics affecting the distribution of a federally-threatened fish: Improving management, model fit, and model transferability," Ecological Modelling, Elsevier, vol. 342(C), pages 1-18.
    14. Yujia Qin & Cong Wang & Zihua Zhao & Xubin Pan & Zhihong Li, 2019. "Climate change impacts on the global potential geographical distribution of the agricultural invasive pest, Bactrocera dorsalis (Hendel) (Diptera: Tephritidae)," Climatic Change, Springer, vol. 155(2), pages 145-156, July.
    15. Ignacio García-Amorena & Elena Moreno-Amat & María Encina Aulló-Maestro & María Cruz Mateo-Sánchez & Silvia Merino-De-Miguel & Jaime Ribalaygua & Robert Marchant, 2021. "Combining Remote Sensing and Species Distribution Modelling to Assess Pinus hartwegii Response to Climate Change and Land Use from Izta-Popo National Park, Mexico," Land, MDPI, vol. 10(10), pages 1-20, October.
    16. G. Mateo, Rubén & Aroca-Fernández, María José & Gastón, Aitor & Gómez-Rubio, Virgilio & Saura, Santiago & García-Viñas, Juan Ignacio, 2019. "Looking for an optimal hierarchical approach for ecologically meaningful niche modelling," Ecological Modelling, Elsevier, vol. 409(C), pages 1-1.

    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:jsusta:v:11:y:2019:i:4:p:1138-:d:207943. 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.