Abstract
Most fish and shrimps have valuable ecological and commercial benefits. The difficulties of the collection of distribution records and volatile nature these marine organisms have limited their monitoring and conserving. MaxEnt modeling technique is ideal option for modeling distribution and habitat preference of different marine organisms. In this study, the present distribution of commercial fish and shrimps including orange-spotted grouper John’s snapper, tigertooth croaker, banana and Jinga shrimps was predicted using MaxEnt and a set of environmental layers. Distribution modeling findings showed that this technique reflects well the actual distribution of species. Environmental predictors including iron, calcite, temperature, primary productivity and depth were the most important environmental factors determining the distribution of species. Finding of habitat preferences indicated that the recent habitats of the species have suitable environmental conditions for the species. The Persian Gulf, the Sea of Oman, the North Arabian Sea and Australia coasts of the South Pacific were predicted as the most suitable habitats for species. The finding of this study provided basic data to identify distribution areas and habitat preferences of commercial fish and shrimps for their recent management plans and conservation development.
چکیده
اکثر ماهیان و میگوها،سودمندی¬های تجاری و اکولوژیکی ارزشمندی دارند. مشکلات جمع¬آوری رکوردهای پراکنش، و طبیعت متحرک این موجودات دریایی، پایش و حفاظت آن¬ها را محدود کرده است. تکنیک مدل¬سازی MaxEnt، انتخابی ایده¬آل جهت مدل¬سازی پراکنش و اولویت¬های زیستگاهی موجودات دریایی متنوع، می¬باشد. در این مطالعه، پراکنش اخیر ماهیان و میگو¬های تجاری شامل هامور معمولی، سرخو معمولی، شوریده معمولی، میگو موزی و میگو سرتیز، با استفاده از MaxEnt و مجموعه¬ای از لایه¬های محیطی، مدل¬سازی شد. یافته¬های مدل¬سازی پراکنش، نشان داد که این تکنیک به¬خوبی انعکاس¬دهنده پراکنش واقعی گونه¬ها می¬باشد. پیش¬بینی¬کننده¬های محیطی شامل آهن، کلسیت، دما، تولید اولیه و عمق، مهم¬ترین عوامل محیطی تعیین¬دهنده پراکنش گونه¬ها، بودند. یافته¬های اولویت زیستگاهی نشان داد که زیستگاه¬های اخیر گونه¬ها، شرایط محیطی مناسب برای آن¬ها را دارند. خلیج¬فارس، دریای عمان، شمال دریای عرب و سواحل استرالیا در جنوب اقیانوس آرام، به¬عنوان مناسب¬ترین زیستگاه¬ها برای گونه¬ها، پیش¬بینی شد. یافته¬های این مطالعه، داده¬های پایه به¬منظور تشخیص نواحی پراکنش و اولویت-های زیستگاهی ماهیان و میگوهای تجاری، جهت برنامه¬های اخیر مدیریتی و پیشرفت¬های حفاظتی، فراهم نمود.
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Data Availability
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
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Acknowledgements
We thank the National Elite Foundation for financial support of this project. We would also like to thank the experts of department Ecology in Persian Gulf and Oman Sea Ecological Research Institute for their assistance in sampling and data collection.
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Sana Sharifian: Methodology, Data analysis, Writing and Editing paper. Mohammad Seddiq Mortazavi and Seyedeh Laili Mohebbi-Nozar: Conceptualization, and Methodology. All authors read and approved the final manuscript.
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Sharifian, S., Mortazavi, M.S. & Mohebbi-Nozar, S.L. Modeling Present Distribution Commercial Fish and Shrimps Using MaxEnt. Wetlands 42, 39 (2022). https://doi.org/10.1007/s13157-022-01554-6
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DOI: https://doi.org/10.1007/s13157-022-01554-6