IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v222y2011i8p1343-1346.html
   My bibliography  Save this article

What does ecological modelling model? A proposed classification of ecological niche models based on their underlying methods

Author

Listed:
  • Sillero, Neftalí

Abstract

Species distribution model is the term most frequently used in ecological modelling, but other authors used instead predictive habitat distribution model or species-habitat models. A consensual ecological modelling terminology that avoids misunderstandings and takes into account the ecological niche theory does not exist at present. Moreover, different studies differ in the type of niche that is represented by similar distribution models. I propose to use as standard ecological modelling terminology the terms “ecological niche”, “potential niche”, “realized niche” models (for modelling their respective niches), and “habitat suitability map” (for the output of the niche models). Therefore, the user can understand more easily that models always forecast species’ niche and relate more closely the different types of niche models.

Suggested Citation

  • Sillero, Neftalí, 2011. "What does ecological modelling model? A proposed classification of ecological niche models based on their underlying methods," Ecological Modelling, Elsevier, vol. 222(8), pages 1343-1346.
    • Handle: RePEc:eee:ecomod:v:222:y:2011:i:8:p:1343-1346
    DOI: 10.1016/j.ecolmodel.2011.01.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380011000500
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2011.01.018?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Urtzi Enriquez-Urzelai & Nicola Bernardo & Gregorio Moreno-Rueda & Albert Montori & Gustavo Llorente, 2019. "Are amphibians tracking their climatic niches in response to climate warming? A test with Iberian amphibians," Climatic Change, Springer, vol. 154(1), pages 289-301, May.
    2. Fernandez, Marc & Sillero, Neftali & Yesson, Chris, 2022. "To be or not to be: the role of absences in niche modelling for highly mobile species in dynamic marine environments," Ecological Modelling, Elsevier, vol. 471(C).
    3. Rodrigues, Lucas dos Santos & Daudt, Nicholas Winterle & Cardoso, Luis Gustavo & Kinas, Paul Gerhard & Conesa, David & Pennino, Maria Grazia, 2023. "Species distribution modelling in the Southwestern Atlantic Ocean: A systematic review and trends," Ecological Modelling, Elsevier, vol. 486(C).
    4. Rutten, Anneleen & Casaer, Jim & Swinnen, Kristijn R.R. & Herremans, Marc & Leirs, Herwig, 2019. "Future distribution of wild boar in a highly anthropogenic landscape: Models combining hunting bag and citizen science data," Ecological Modelling, Elsevier, vol. 411(C).
    5. Sillero, Neftalí & Campos, João Carlos & Arenas-Castro, Salvador & Barbosa, A.Márcia, 2023. "A curated list of R packages for ecological niche modelling," Ecological Modelling, Elsevier, vol. 476(C).
    6. Zhenghan Chen & Tianzhen Tang & Fan Zhang & Mingran Deng, 2023. "Symbiosis-Evolution Game and Scenario-Simulation Analysis of Advanced Manufacturing Enterprises from the Perspective of an Innovation Ecosystem," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    7. Lewis A. Jones & Philip D. Mannion & Alexander Farnsworth & Fran Bragg & Daniel J. Lunt, 2022. "Climatic and tectonic drivers shaped the tropical distribution of coral reefs," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    8. Yuncheng Zhao & Mingyue Zhao & Lei Zhang & Chunyi Wang & Yinlong Xu, 2021. "Predicting Possible Distribution of Tea ( Camellia sinensis L.) under Climate Change Scenarios Using MaxEnt Model in China," Agriculture, MDPI, vol. 11(11), pages 1-18, November.
    9. Zhao, Jiongchao & Wang, Chong & Shi, Xiaoyu & Bo, Xiaozhi & Li, Shuo & Shang, Mengfei & Chen, Fu & Chu, Qingquan, 2021. "Modeling climatically suitable areas for soybean and their shifts across China," Agricultural Systems, Elsevier, vol. 192(C).
    10. de Rigo, Daniele & Caudullo, Giovanni & San-Miguel-Ayanz, Jesús & Barredo, José I., 2017. "Robust modelling of the impacts of climate change on the habitat suitability of forest tree species," MPRA Paper 78623, University Library of Munich, Germany.
    11. Siwen Hao & Donglin Zhang & Yafeng Wen, 2024. "Potential Geographical Distribution of Lagerstroemia excelsa under Climate Change," Agriculture, MDPI, vol. 14(2), pages 1-14, January.
    12. 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).
    13. Özgür Kamer Aksoy, 2022. "Predicting the Potential Distribution Area of the Platanus orientalis L. in Turkey Today and in the Future," Sustainability, MDPI, vol. 14(18), pages 1-18, September.
    14. Parasiewicz, Piotr & Castelli, Elena & Rogers, Joseph N. & Plunkett, Ethan, 2012. "Multiplex modeling of physical habitat for endangered freshwater mussels," Ecological Modelling, Elsevier, vol. 228(C), pages 66-75.
    15. Gengping Zhu & Matthew J Petersen & Wenjun Bu, 2012. "Selecting Biological Meaningful Environmental Dimensions of Low Discrepancy among Ranges to Predict Potential Distribution of Bean Plataspid Invasion," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-9, September.
    16. 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.

    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:eee:ecomod:v:222:y:2011:i:8:p:1343-1346. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    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.