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

Year 2022, Volume: 9 Issue: 3, 118 - 125, 08.09.2022
https://doi.org/10.30897/ijegeo.979699

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

Supporting Institution

This study was financially supported by the scientific and technological research council of Turkey and Bulent Ecevit University.

Project Number

TUBITAK TOVAG-113R029 and Bulent Ecevit University (Project no: 2012-10-06-10)

References

  • 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
  • Amori, G., Hutterer, R., Kryštufek, B., Yigit, N., “The IUCN Red List of Threatened Species”, 2008: e.T264A13050432
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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.
  • 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.
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
Year 2022, Volume: 9 Issue: 3, 118 - 125, 08.09.2022
https://doi.org/10.30897/ijegeo.979699

Abstract

Project Number

TUBITAK TOVAG-113R029 and Bulent Ecevit University (Project no: 2012-10-06-10)

References

  • 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
  • Amori, G., Hutterer, R., Kryštufek, B., Yigit, N., “The IUCN Red List of Threatened Species”, 2008: e.T264A13050432
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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.
  • 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.
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
There are 24 citations in total.

Details

Primary Language English
Subjects Environmental Sciences
Journal Section Research Articles
Authors

Banu Kaya Özdemirel 0000-0003-2039-4601

Ortaç Çetintaş 0000-0001-7601-2540

Mustafa Sözen 0000-0002-1911-605X

Muhsin Çoğal 0000-0002-7749-3566

Ferhat Matur 0000-0001-9488-1408

Project Number TUBITAK TOVAG-113R029 and Bulent Ecevit University (Project no: 2012-10-06-10)
Publication Date September 8, 2022
Published in Issue Year 2022 Volume: 9 Issue: 3

Cite

APA Kaya Özdemirel, B., Çetintaş, O., Sözen, M., Çoğal, M., et al. (2022). Modelling Distribution of Asia Minor Spiny Mouse (Acomys Cilicicus) Using Maximum Entropy. International Journal of Environment and Geoinformatics, 9(3), 118-125. https://doi.org/10.30897/ijegeo.979699