Journals / International Journal of Environment and Geoinformatics / 2026 / Volume: 9 Issue: 3

Modelling Distribution of Asia Minor Spiny Mouse (Acomys Cilicicus) Using Maximum Entropy

Banu Kaya Özdemirel(Odtü/biyolojik bilimler)0000-0003-2039-4601
Ortaç Çetintaş(BULENT ECEVIT UNIVERSITY, FACULTY OF ARTS AND SCIENCES, DEPARTMENT OF BIOLOGY, BIOLOGY PR.)0000-0001-7601-2540
Mustafa Sözen(BULENT ECEVIT UNIVERSITY, FACULTY OF ARTS AND SCIENCES, DEPARTMENT OF BIOLOGY, BIOLOGY PR.)0000-0002-1911-605X
Muhsin Çoğal(BULENT ECEVIT UNIVERSITY, FACULTY OF ARTS AND SCIENCES, DEPARTMENT OF BIOLOGY, BIOLOGY PR.)0000-0002-7749-3566
Ferhat Matur(DOKUZ EYLUL UNIVERSITY, FACULTY OF SCIENCE, DEPARTMENT OF BIOLOGY)0000-0001-9488-1408
Pages
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Publication Date
2022-09-08
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results showed that the distribution of the species is restricted in the coastal part of the study area, the human population is one of the severe threats for the species distribution, and the fluctuations of climatic conditions may adversely affect the species distribution.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Acomys cilicicus is a narrow range, endemic spiny mouse species of Turkey.
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Key Findings & Data:Some issues have been uncertain about its distribution and status.
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Conclusion & Impact:The results showed that the distribution of the species is restricted in the coastal part of the study area, the human population is one of the severe threats for the species distribution, and the fluctuations of climatic conditions may adversely affect the species distribution.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Acomys cilicicus · maxent modelling · spatial distribution

Abstract

Acomys cilicicus is a narrow range, endemic spiny mouse species of Turkey. Some issues have been uncertain about its distribution and status. In the study, we, therefore, aimed to identify species' spatial distribution and understand the impact of environmental factors on species. We used maximum entropy modeling to fulfill these purposes. The results showed that the distribution of the species is restricted in the coastal part of the study area, the human population is one of the severe threats for the species distribution, and the fluctuations of climatic conditions may adversely affect the species distribution. We hope that these outputs can be valuable for the species' conservation efforts and serve as a guide for both Acomys cilicicus and other narrowly distributed species

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Cite This Article

Özdemirel, B. K., Çetintaş, O., Sözen, M., Çoğal, M., Matur, F. (2022). Modelling Distribution of Asia Minor Spiny Mouse (Acomys Cilicicus) Using Maximum Entropy. International Journal of Environment and Geoinformatics, Volume: 9 Issue: 3. https://doi.org/10.30897/ijegeo.979699

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References (24)

  1. Almalki, M., Alrashidi, M., O’Connell, M. J., Shobrak, M., Szekely, T., “Modelling the distribution of wetland birds on the red seacoast in the kingdom of Saudi Arabia”, Applied Ecology and Environmental Research, 13(1), 67-84, 2015, Doi: 10.15666/aeer/1301_067084
  2. Amori, G., Hutterer, R., Kryštufek, B., Yigit, N., “The IUCN Red List of Threatened Species”, 2008: e.T264A13050432
  3. Aulagnier, S., Haffner, P., Mitchell-Jones, T. J., Moutou, F., Zima, J., “Guide des mammiferes d'Europe, d'Afrique du Nord et du Moyen- Orient”, Delachaux & Niestlé SA, Paris, 2010
  4. Çetintaş, O., Matur, F., Sözen, M., “Distribution and conservation of Acomys cilicicus (Mammalia: Rodentia) in Turkey”, Turkish Journal of Zoology, 41(6), 1059–1068, 2017, Doi:10.3906/zoo-1606-57
  5. Elith, J., Graham, C. H., Anderson, R.P., Dudı´k, M., Ferrier, S., “Novel methods improve prediction of species’ distributions from occurrence data”, Ecography, 29, 129–151, 2006, Doi: 10.1111/j.2006.0906-7590. 04596.x
  6. Elith J, Kearney M, Phillips S., “The art of modelling range-shifting species Methods”, Ecology and Evolution, 1(4), 330-342, 2010, Doi: 10.1111/j.2041-210X.2010. 00036.x
  7. Elith, J., Phillips, S. J., Hastie, T., Dudı´k, M., Chee, Y. E., “A statistical explanation of MaxEnt for ecologists”, Diversity and Distribution, 17, 43–47, 2011, Doi:10.1111/j.1472-4642.2010. 00725.x
  8. Fourcade, Y., Engler, J. O., Rödder, D., Secondi, J., “Mapping Species Distribution with MAXENT Using a Geographically Biased Sample of Presence Data: A Performance Assessment of Methods for Correcting Sampling Bias”, PloSONE, 9(5), e97122, 2014, Doi: 10.1371/journal.pone.0097122.
  9. Merow, C., Smith, M. J., Silander, J. A. Jr., “A practical guide to Maxent for modeling species’ distributions: what it does, and why inputs and settings matter”, Ecography, 36(10), 1058–1069, 2013, Doi: 10.1111/j.1600-0587.2013. 07872.x.
  10. Morales, N. S., Fernandez, I. C., Baca-Gonzalez, V., “MaxEnt’s parameter configuration and small samples: are we paying attention to recommendations? A systematic review”, PeerJ, 5: e3093, 2017, Doi:10.7717/peerj.3093
  11. Morovati, M., Panahandeh, M., Rousta, Z., Shorakaei, M. J., “Habitat desirability modelling of cheetah (acinonyx jubatus venaticus) using maximum entropy model in central Iran (A case study: Yazd province-Dareh Anjir wildlife refuge)”, Applied Ecology and Environmental Research, 13(3), 725-739, 2015, Doi: 10.15666/aeer/1303_725739
  12. Musser, G. G., Carleton, M. D., "Superfamily Muroidea". In Wilson, D. E., Reeder, D. M., Mammal Species of the World: A Taxonomic and Geographic Reference (3rd ed.), Johns Hopkins University Press, ISBN 978-0-8018-8221-0. OCLC 62265494, pp. 894–1531, 2005
  13. Nazeri, M., Jusoff, K., Madani, N., Mahmud, A. R., Bahman, A. R., Kumar, L., “Predictive Modelling and Mapping of Malayan Sun Bear (Helarctos malayanus) Distribution Using Maximum Entropy”, PLoS ONE, 7(10), e48104, 2012, Doi: 10.1371/journal.pone.0048104
  14. O’Donnell, M. S., Ignizio, D. A., “Bioclimatic predictors for supporting ecological applications in the conterminous United States”,U.S. Geological Survey Data Series, 691, pp. 10, 2012
  15. Peterman, W. E., Crawford, J. A., Kuhns, A. R., “Using species distribution and occupancy modelling to guide survey efforts and assess species status”, Journal for Nature Conservation, 21(2), 114-121, 2013, Doi: 10.1016/j.jnc.2012.11.005
  16. Phillips, S. J., Dudı´k, M., Schapire, R. E., “A maximum entropy approach to species distribution modelling”, Proceedings of the twenty-first international conference on Machine learning, Banff, Canada, pp. 655-662, 2004
  17. Phillips, S. J., Anderson, R. P., Schapire, R. E., “Maximum entropy modelling of species geographic distributions”, Ecological Modelling, 190, 231–259, 2006, Doi: 10.1016/j.ecolmodel.2005.03.026
  18. Phillips, S. J., Dudík, M., “Modelling of species distributions with Maxent: new extensions and a comprehensive evaluation”, Ecography, 31, 161-175, 2008, Doi: 10.1111/j.0906-7590.2008. 5203.x
  19. Rhoden, C. M., Peterman, W. E., Taylor, C. A., “Maxent-directed field surveys identify new populations of narrowly endemic habitat specialists”, PerrJ, 5: e3632, 2017, Doi:10.7717/peerj.3632
  20. Syfert, M. M., Smith, M. J., Coomes, D. A., “The Effects of Sampling Bias and Model Complexity on the Predictive Performance of Maxent Species Distribution Models”, PLoS ONE, 8(2), e55158, 2013, Doi: 10.1371/journal.pone.0055158
  21. VanDerWal, J., Shoo, L. P., Graham, C., Williams, S. E., “Selecting pseudo-absence data for presence-only distribution modelling: how far should you stray from what you know?”, Ecological Modelling, 220(4), 589-594, 2009, Doi: 10.1016/j.ecolmodel.2008.11.010
  22. Villordon, A., Njuguna, W., Gichuki, S., Ndolo, P., Kulembeka, H., Jeremiah, S. C., Labonte, D., Yada, B., Tukamuhabwa, P., Mwanga, R. O. M., “Using GIS-based tools and distribution modeling to determine sweetpotato germplasm exploration and documentation priorities in sub-Saharan Africa”, HortScience, 41(6), 1377-1381, 2006, Doi: 10.21273/HORTSCI.41.6.1377
  23. Wisz, M. S., Hijmans, R. J., Li, J., Peterson, A. T., “Graham C.H.,Effects of sample size on the performance of species distribution models”, Diversity and Distribution, 14(5), 763–773, 2008, Doi: 10.1111/j.1472-4642.2008. 00482.x
  24. Young, B. E., Franke, I., Hemandez, P. A., Herzog, S. K., Paniagua, L., Tovar, C., Valqui, T., “Using spatial models to predict areas of endemism and gaps in the protection of Andean slope birds”, The Auk, 126(3), 554-565, 2009, Doi: 10.1525/auk.2009.08155