Open Access
| Issue |
BIO Web Conf.
Volume 185, 2025
The International Symposium on Marine and Fisheries (SYMARFISH 2025)
|
|
|---|---|---|
| Article Number | 07002 | |
| Number of page(s) | 11 | |
| Section | Oceanography and Climate Change | |
| DOI | https://doi.org/10.1051/bioconf/202518507002 | |
| Published online | 14 August 2025 | |
- P. Fidelman, L. Evans, M. Fabinyi, S. Foale, J. Cinner, F. Rosen. Governing large-scale marine commons: Contextual challenges in the Coral Triangle. Mar. Policy 36, 1, 42–53 (2012). https://doi.org/10.1016/j.marpol.2011.03.007 [Google Scholar]
- Z. Hao, Z. Xu, M. Feng, P. Zhang, J. You, B. Yin. Seasonal variability of eddy kinetic energy in the Banda Sea revealed by an ocean model: An energy budget perspective. Deep. Res. Part II Top. Stud. Oceanogr. 211, 105320 (2023). https://doi.org/10.1016/j.dsr2.2023.105320 [Google Scholar]
- J.A. Fernandes, T.L. Frölicher, L.A. Rutterford, M. Erauskin-Extramiana, W.W.L. Cheung. Changes of potential catches for North-East Atlantic small pelagic fisheries under climate change scenarios. Reg. Environ. Chang. 20, 4 (2020). https://doi.org/10.1007/s10113-020-01698-3 [Google Scholar]
- M.G. Pennino, et al. Current and future influence of environmental factors on small pelagic fish distributions in the Northwestern Mediterranean Sea. Front. Mar. Sci. 7 (2020). https://doi.org/10.3389/fmars.2020.00622 [Google Scholar]
- S. Liu, et al. Impact of climate change on wintering ground of Japanese anchovy (Engraulis japonicus) using marine geospatial statistics. Front. Mar. Sci. 7, 1–15 (2020). https://doi.org/10.3389/fmars.2020.00604 [Google Scholar]
- E. Armas, H. Arancibia, S. Neira. Identification and forecast of potential fishing grounds for anchovy (Engraulis ringens) in northern Chile using neural networks modeling. Fishes 7, 4, 1–10 (2022). https://doi.org/10.3390/fishes7040204 [PubMed] [Google Scholar]
- C. Evans, et al. Potential climate change impacts on microbial distribution and carbon cycling in the Australian Southern Ocean. Deep. Res. Part II Top. Stud. Oceanogr. 58, 21–22, 2150–2161 (2011). https://doi.org/10.1016/j.dsr2.2011.05.019 [Google Scholar]
- M. Barange, et al. Habitat expansion and contraction in anchovy and sardine populations. Prog. Oceanogr. 83, 1–4, 251–260 (2009). https://doi.org/10.1016/j.pocean.2009.07.027 [Google Scholar]
- A. Wirasatriya, R.D. Susanto, K. Kunarso, A.R. Jalil, F. Ramdani, A.D. Puryajati. Northwest monsoon upwelling within the Indonesian seas. Int. J. Remote Sens. 42(14), 5437–5458 (2021). https://doi.org/10.1080/01431161.2021.1918790 [Google Scholar]
- M.N. Nur’utami, R. Hidayat. Influences of IOD and ENSO to Indonesian Rainfall Variability: Role of Atmosphere-ocean Interaction in the Indo-Pacific Sector. Procedia Environ. Sci. 33, 196–203 (2016). https://doi.org/10.1016/j.proenv.2016.03.070 [Google Scholar]
- N.L.N. Aryanti, I.G. Hendrawan, Y. Suteja. Studi Variabilitas Produktivitas Primer Bersih serta Hubungannya dengan ENSO dan IOD di Laut Banda Berdasarkan Data Satelit Aqua MODIS. J. Mar. Aquat. Sci. 5(1), 64 (2018). https://doi.org/10.24843/jmas.2019.v05.i01.p08 [Google Scholar]
- Y.F. Sang, V.P. Singh, K. Xu. Evolution of IOD-ENSO relationship at multiple time scales. Theor. Appl. Climatol. 136(3–4), 1303–1309 (2019). https://doi.org/10.1007/s00704-018-2557-7 [Google Scholar]
- N. Sahu, et al. Impact of Indo-Pacific climate variability on high streamflow events in Mahanadi River Basin, India. Water (Switzerland) 12(7), (2020). https://doi.org/10.3390/w12071952 [Google Scholar]
- N.A.I. Baharuddin, M. Zainuddin, Najamuddin. The impact of ENSO-IOD on Decapterus spp. in Pangkajene Kepulauan and Barru Waters, Makassar Strait, Indonesia. Biodiversitas 23(11), 5613–5622 (2022). https://doi.org/10.13057/biodiv/d231110 [Google Scholar]
- H.A. Rachman, et al. Dynamic of upwelling variability in southern Indonesia region revealed from satellite data: Role of ENSO and IOD. J. Sea Res. 202, 102543 (2024). https://doi.org/10.1016/j.seares.2024.102543 [Google Scholar]
- S. Jamili, I.W. Sudiarta, L.M. Angraini. Analisis Anomali Suhu Permukaan Laut dan Pengaruh Fenomena El-Nino dan La-Nina terhadap Perubahan Nilai Anomali Suhu Permukaan Laut di Perairan Nusa Tenggara Barat Tahun 2008–2017. Indones. Phys. Rev. 1(1), 17–31 (2018). https://doi.org/10.29303/ipr.v1i1.14 [Google Scholar]
- M. Syahdan, A.S. Athmadipoera, S.B. Susilo, J.L. Gaol. Determining the potential fishing zone of small pelagic fishes based on spatial and temporal variability of remote sensing satellite data. Egypt. J. Aquat. Biol. Fish. 27(3), 967–978 (2023). https://doi.org/10.21608/ejabf.2023.306903 [Google Scholar]
- J.F. Schröder, et al. Deglacial warming and hydroclimate variability in the Central Indonesian Archipelago. Paleoceanogr. Paleoclimatology 33(9), 974–993 (2018). https://doi.org/10.1029/2018PA003323 [Google Scholar]
- H.I. Ratnawati, R. Hidayat, A. Bey, T. June. Upwelling di Laut Banda dan Pesisir Selatan Jawa serta Hubungannya dengan ENSO dan IOD. Omni-Akuatika 12(3), 119–130 (2016). https://doi.org/10.20884/1.oa.2016.12.3.134 [CrossRef] [Google Scholar]
- Soewito, P.H. Schalk. Spatial and seasonal patterns in fish larvae distribution in the Banda Sea (Indonesia). Neth. J. Sea Res. 25(4), 591–600 (1990). https://doi.org/10.1016/0077-7579(90)90081-Q [Google Scholar]
- Z.M. Migaszewski, A. Gałuszka, S. Dołęgowska, S. Hałas, K. Krzciuk, B. Gebus. Assessing the impact of Serwis mine tailings site on farmers’ wells using element and isotope signatures (Holy Cross Mountains, south-central Poland). Environ. Earth Sci. 74(1), 629–647 (2015). https://doi.org/10.1007/s12665-015-4067-6 [Google Scholar]
- A.R.S. Putri, M. Zainuddin, Musbir, M.A. Mustapha, R. Hidayat. Mapping potential fishing zones for skipjack tuna in the southern Makassar Strait, Indonesia, using Pelagic Habitat Index (PHI). Biodiversitas 22(7), 3037–3045 (2021). https://doi.org/10.13057/biodiv/d220758 [Google Scholar]
- E. Lloret-Lloret, et al. Small pelagic fish fitness relates to local environmental conditions and trophic variables. Prog. Oceanogr. 202, 37–49 (2022). https://doi.org/10.1016/j.pocean.2022.102745 [Google Scholar]
- M.S. Kyewalyanga. Seasonality in phytoplankton species composition and theirinfluence on small pelagic fish along the Western Pemba Channel. Tanzania J. Sci. 48(2), 268–282 (2022). https://doi.org/10.4314/tjs.v48i2.4 [Google Scholar]
- Y.D. Haryanto, H. Hadiman, R. Agdialta, N.F. Riama. Pengaruh El Niño terhadap Pola Distribusi Klorofil-a dan Pola Arus di Wilayah Perairan Selatan Maluku. J. Kelaut. Trop. 24(3), 364–374 (2021). https://doi.org/10.14710/jkt.v24i3.10456 [Google Scholar]
- M. Sadly, N. Hendiarti, S.I. Sachoemar, Y. Faisal. Fishing ground prediction using a knowledge-based expert system geographical information system model in the South and Central Sulawesi coastal waters of Indonesia. Int. J. Remote Sens. 30(24), 6429–6440 (2009). https://doi.org/10.1080/01431160902865780 [Google Scholar]
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