دورية أكاديمية
Spatial distribution models for the four commercial tuna in the sea of maritime continent using multi-sensor remote sensing and maximum entropy.
| العنوان: | Spatial distribution models for the four commercial tuna in the sea of maritime continent using multi-sensor remote sensing and maximum entropy. |
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| المؤلفون: | Yati E; National Research and Innovation Agency Republic of Indonesia (BRIN), Jakarta, Indonesia. Electronic address: emiyati@gmail.com., Sadiyah L; National Research and Innovation Agency Republic of Indonesia (BRIN), Jakarta, Indonesia., Satria F; National Research and Innovation Agency Republic of Indonesia (BRIN), Jakarta, Indonesia., Alabia ID; Arctic Research Center, Hokkaido University, N21 W11 Kita-Ku, Sapporo, 001-0021, Japan., Sulma S; National Research and Innovation Agency Republic of Indonesia (BRIN), Jakarta, Indonesia., Prayogo T; National Research and Innovation Agency Republic of Indonesia (BRIN), Jakarta, Indonesia., Marpaung S; National Research and Innovation Agency Republic of Indonesia (BRIN), Jakarta, Indonesia., Harsa H; National Research and Innovation Agency Republic of Indonesia (BRIN), Jakarta, Indonesia., Kushardono D; National Research and Innovation Agency Republic of Indonesia (BRIN), Jakarta, Indonesia., Lumban-Gaol J; Department of Marine Science and Technology, Faculty of Fisheries and Marine Science, IPB University, Bogor, Indonesia., Budiarto A; Ministry of Marine Affairs and Fisheries Republic of Indonesia (MMAF), Jakarta, Indonesia., Efendi DS; Ministry of Marine Affairs and Fisheries Republic of Indonesia (MMAF), Jakarta, Indonesia., Patmiarsih S; Ministry of Marine Affairs and Fisheries Republic of Indonesia (MMAF), Jakarta, Indonesia. |
| المصدر: | Marine environmental research [Mar Environ Res] 2024 Jun; Vol. 198, pp. 106540. Date of Electronic Publication: 2024 May 03. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier Country of Publication: England NLM ID: 9882895 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0291 (Electronic) Linking ISSN: 01411136 NLM ISO Abbreviation: Mar Environ Res Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: Apr. <2000- >: Kidlington, Oxford : Elsevier Original Publication: London : Applied Science Publishers, [c1978- |
| مواضيع طبية MeSH: | Tuna*/physiology , Remote Sensing Technology*, Animals ; Entropy ; Environmental Monitoring/methods ; Ecosystem ; Temperature ; Seasons ; Oceans and Seas ; Chlorophyll A/analysis |
| مستخلص: | The dynamic of marine environmental parameters affects the distribution of commercial tuna in the sea of the maritime continent. Hence, the objectives of this study are to develop spatial distribution models for the four main tuna species in the Maritime continent's sea with reasonable accuracy, identify their correlation with marine environmental parameters, and investigate areas of interaction between those tuna species. The study develops the distribution models for albacore (Thunnus alalunga), bigeye (Thunnus obesus), yellowfin (Thunnus albacares), and skipjack (Katsuwonus pelamis) tuna species, utilizing multi-sensor satellite remote sensing and maximum entropy. The results show models have good performance, focusing on environmental factors such as sea surface temperature (SST), chlorophyll-a (CHL), and sea surface height anomalies (SSHA), combined with eddy kinetic energy (EKE). Seasonal variations in potential tuna habitats are revealed, emphasizing the influence of those marine environmental conditions. From December to May, the four commercial tuna species were distributed in conditions characterized by SST of 26-31.5 °C, CHL levels of 0-3 mg/l, SSHA of -0.3 to 0.2 m, and EKE of 0-1 m 2 /s 2 , while from June to November, they experienced SST of 23-31 °C, CHL levels of 0-4 mg/l, SSHA of -0.5 to 0.3 m, and EKE of 0-1.1 m 2 /s 2 . The spatial persistence of the four tuna species emerged mainly around the south sea of Java, with skipjack being the most common species found in the sea of the maritime continent. With sufficient and evenly distributed tuna presence records, the results indicate the potential for extrapolation beyond the training data to estimate habitat suitability for the four commercial tuna distributions. The results also suggest potential competition between tuna species sharing ecological niches and highlight possible overlapping areas where different tuna species interact with the same fishing gear. Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2024 Elsevier Ltd. All rights reserved.) |
| فهرسة مساهمة: | Keywords: Habitat; Marine ecology; Maritime continent; Maximum entropy; Multi-sensor; Remote sensing; Species distribution; Tuna |
| المشرفين على المادة: | YF5Q9EJC8Y (Chlorophyll A) |
| تواريخ الأحداث: | Date Created: 20240505 Date Completed: 20240609 Latest Revision: 20240609 |
| رمز التحديث: | 20240610 |
| DOI: | 10.1016/j.marenvres.2024.106540 |
| PMID: | 38704933 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1879-0291 |
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| DOI: | 10.1016/j.marenvres.2024.106540 |