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:: Volume 10, Issue 40 (2019) ::
joc 2019, 10(40): 55-63 Back to browse issues page
Predicting the potential distribution of Avicennia marina across mangrove forest area in Southern Iran using Biochemical datase
Razieh Ghayoumi , Elham Ebrahimi
Research group of Biodiversity and Biosafety, Research Center for Environment and Sustainable Development, RCESD, Department of Environment, Tehran, Islamic Republic of Iran , r.ghayoumi@gmail.com
Abstract:   (1151 Views)
Distribution and ecological preferences of aquatic organisms have often not been studied. Species Distribution Modeling can improve our knowledge and enhance the ecosystem management and protection. This study conducted in 2017 with the objective of predicting the potential suitable habitat for Avicennia marina and the most important environmental factors influencing its distribution. Mangroves as the worldchr('39')s valuable habitats with high biomass and productivity, play an important role for fauna and flora both land and sea, providing shelter, nursing and feeding grounds. In this study, 9 biochemical variables from Bio-ORACLE database were compiled. The correlation coefficient between each pair of variables was calculated to identify highly correlated variables and reduce multicollinearity. Finally, the distribution model was produced with MaxEnt. Results show that suitable habitats for mangrove distribution have placed in the Eastern part of the Persian Gulf and the Oman Sea. Moreover, Chlorophyll-a minimum range, summaximum and pH were found to be the top variables affecting the distribution. Results can be used in a decision-making framework that helps conservation outcomes deliver as a result of managers’ strategy.
Keywords: Mangrove forests, Avicennia marina, Ocean dataset, Species Distribution Modeling
Full-Text [PDF 562 kb]   (302 Downloads)    
Type of Study: Research | Subject: Marine Biology
Received: 2020/05/15 | Accepted: 2020/05/15 | ePublished: 2020/05/15
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Ghayoumi R, Ebrahimi E. Predicting the potential distribution of Avicennia marina across mangrove forest area in Southern Iran using Biochemical datase. joc. 2019; 10 (40) :55-63
URL: http://joc.inio.ac.ir/article-1-1530-en.html

Volume 10, Issue 40 (2019) Back to browse issues page
نشریه علمی پژوهشی اقیانوس شناسی Journal of Oceanography
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