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:: Volume 7, Issue 28 (2017) ::
2017, 7(28): 47-56 Back to browse issues page
Modeling Habitat Suitability of the Dolphins Using MaxEnt in Makran Sea, South of Iran
Mina Shahparian , Sima Fakheran , Hossein Moradi , Mahmoudreza Hemami , Mohammad Shafiezadeh
, mshahpariyan92@gmail.com
Abstract:   (9229 Views)

The complexity and lack of information about marine ecosystems make a challenge with achieving to data about ecological niche for aquatic species. Spatial-Temporally knowledge on distribution of key species is an important component for systematic conservation planning. However, few efforts have been made to model the habitat of marine mammals in Iran so far. The Coast of Makran Sea in the South of Iran is a high biodiversity region that has a vital marine habitat for a lot of marine species. Dolphins are of the most important species in this region. In this paper, we presented predictive habitat modelling as a potential tool to support decisions for conservation planning. A maximum entropy algorithm (MaxEnt) was used to develop habitat models. As a result of the model, distance from coast and sea surface and temperature were the most important variables to identify the suitable area such as Gulf of Gwadar. The index of area under the curve (AUC) was equivalent to 84/0, indicating the high accuracy and efficiency of the model was to identify distribution areas. These results can be useful for conservation planning.

Keywords: MaxEnt, Habitat suitability, Marine mammals, Dolphins
Full-Text [PDF 101 kb]   (3693 Downloads)    
Type of Study: Research/ Original/ Regular Article |
Received: 2017/04/9 | Revised: 2017/05/9 | Accepted: 2017/04/9 | ePublished: 2017/04/9



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Shahparian M, Fakheran S, Moradi H, Hemami M, Shafiezadeh M. Modeling Habitat Suitability of the Dolphins Using MaxEnt in Makran Sea, South of Iran. Journal of Oceanography 2017; 7 (28) :47-56
URL: http://joc.inio.ac.ir/article-1-1057-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 7, Issue 28 (2017) Back to browse issues page
نشریه علمی پژوهشی اقیانوس شناسی Journal of Oceanography
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