Predicting the potential distribution of Avicennia marina across mangrove forest area in Southern Iran using Biochemical datase

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Ghayoumi Razieh; EBRAHIMI ELHAM

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Journal: Journal of Oceanography Year:2020 | Volume:11 | Issue:40 Page(s): 55-63

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Title

Predicting the potential distribution of Avicennia marina across mangrove forest area in Southern Iran using Biochemical datase

Author(s)

Ghayoumi Razieh | EBRAHIMI ELHAM | Issue Writer Certificate

Keywords

Mangrove forestsQ1

Avicennia marinaQ1

Ocean datasetQ1

Species Distribution ModelingQ2

Abstract

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 world'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.

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APA: Copy

Ghayoumi, Razieh, & EBRAHIMI, ELHAM. (2020). Predicting the potential distribution of Avicennia marina across mangrove forest area in Southern Iran using Biochemical datase. JOURNAL OF OCEANOGRAPHY, 11(40 ), 55-63. SID. https://sid.ir/paper/399415/en

Vancouver: Copy

Ghayoumi Razieh, EBRAHIMI ELHAM. Predicting the potential distribution of Avicennia marina across mangrove forest area in Southern Iran using Biochemical datase. JOURNAL OF OCEANOGRAPHY[Internet]. 2020;11(40 ):55-63. Available from: https://sid.ir/paper/399415/en

IEEE: Copy

Razieh Ghayoumi, and ELHAM EBRAHIMI, “Predicting the potential distribution of Avicennia marina across mangrove forest area in Southern Iran using Biochemical datase,” JOURNAL OF OCEANOGRAPHY, vol. 11, no. 40 , pp. 55–63, 2020, [Online]. Available: https://sid.ir/paper/399415/en

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