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

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  • 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
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    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. Ruijie Huang & Chenchen Wu & Hao Lu & Xuemei Wu & Baoyu Zhao, 2024. "Predicted Distribution of Locoweed Oxytropis glabra in China under Climate Change," Agriculture, MDPI, vol. 14(6), pages 1-13, May.
    6. 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).
    7. 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.
    8. 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.
    9. 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.
    10. 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).
    11. Rajendra K. Meena & Maneesh S. Bhandari & Pawan Kumar Thakur & Nitika Negi & Shailesh Pandey & Rama Kant & Rajesh Sharma & Netrananda Sahu & Ram Avtar, 2024. "MaxEnt-Based Potential Distribution Mapping and Range Shift under Future Climatic Scenarios for an Alpine Bamboo Thamnocalamus spathiflorus in Northwestern Himalayas," Land, MDPI, vol. 13(7), pages 1-18, June.
    12. 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.
    13. 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.
    14. 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).
    15. 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.
    16. 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.
    17. 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.
    18. 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.

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