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The spinner shark is a widely distributed coastal species that faces significant anthropogenic pressures, yet information on its ecology in the western Indian Ocean remains poorly documented. This study provides preliminary baseline observations on temporal occurrence, sex ratio, and size distribution of a bait-attracted spinner shark aggregation in Hulhumale (North Malé Atoll, Maldives) and presents the first individual-level photo-identification (photo-ID) catalogue for the species based on underwater observations. Surveys were conducted in November 2024 and November 2025 using underwater photography, video recordings, and laser photogrammetry. In total, 69 individual spinner sharks were identified using the standard photo-ID protocol which proved to be valid. On the contrary, the preliminary application of the semi-automatic Identifin software indicated possible effectiveness for individual recognition; however, its performance cannot be reliably validated in this area because of poor image quality and environmental turbidity. Six individuals were re-sighted across years, demonstrating the feasibility of non-invasive repeated, long-term monitoring through photo-ID. Although interannual variation in sex ratio of sharks observed was detected (χ2 = 10.56, p = 0.0012), this pattern should be interpreted cautiously due to provisioning-related sampling bias and unequal sampling effort across years. Total length measurements (n = 28) indicated predominantly adult and subadult individuals, with no apparent interannual differences in size distributions. Overall, this study establishes a methodological baseline for spinner shark photo-ID in the Maldives and highlights the importance of multi-year and multi-season monitoring to robustly evaluate aggregation dynamics, site fidelity, and population-level patterns in this region.

2 March 2026

Map of Hulhumale and Shark Tank sampling area.

The Bering Sea and its surrounding waters are commercially and ecologically important ecosystems. Knowledge of phytoplankton phenology is crucial for understanding ecosystem dynamics. However, estimates of phenological parameters of spring phytoplankton bloom are sparse for this region. We used the Moderate Resolution Imaging Spectroradiometer (MODIS) daily data from 2003–2024 to assess the climatology of phenological parameters. A combination of data regriding, spatial interpolation, and temporal smoothing was applied. Three methods of spatial interpolation for missing data acquisition are compared: iterative first-order neighbor, inverse distance weighted interpolation, and data interpolating empirical orthogonal functions (DINEOF). We suggest that the first outcompetes the other two methods when compared to initial data. Date of the bloom initiation, bloom peak, chlorophyll-a maximum, and duration of the bloom before its peak are evaluated. The spatial distribution of mentioned phenological parameters is presented and discussed. We show that bloom starts early in Bristol Bay, in the narrow band along the eastern shelf, along the Kamchatka Peninsula, and south of the Aleutians and Alaska Peninsula. In the deep Bering Sea, bloom starts surprisingly later considering the latitude of the region. The main reason for this may be the wind mixing during the spring. The first phase of the bloom is generally longer in the deep southern areas (up to 60 days) and shorter in the northern shelf areas (less than 2 weeks in some cases).

26 February 2026

Bathymetry (shading) and main surface currents (arrows) of the Bering Sea and surrounding waters. Numbers indicate main geographical objects and currents: (1) Sea of Okhotsk, (2) Kamchatka Peninsula, (3) Komandorski (Commander) Basin, (4) Aleutian Basin, (5) Bowers Basin, (6) Gulf of Anadyr and Anadyr Current, (7) Chukchi Sea, (8) Aleutian Islands, (9) Bristol Bay, (10) Gulf of Alaska, (11) North Kuril Current, (12) West Kamchatka Current, (13) East Kamchatka Current, (14) Siberian Coastal Current, (15) Beaufort Gyre, (16) Bering Slope Current, (17) Alaskan Coastal Current, (18) Alaskan Stream. Currents are based on generalization of [14,33]. Bathymetry is generalized based on GEBCO_2023.

Marine isopods are the ancestors of the harmless herbivorous woodlouse species often found in piles of leaves. In contrast to woodlice, marine isopods of the family Cirolanidae (cirolanid isopods) are scavengers and predatory carnivores that form swarms and can cause damage to fishing and aquaculture industries. Furthermore, these animals are known to bite swimming and diving humans and therefore may have negative effects on recreational activities in areas where swarms form. One cirolanid isopod species, Cirolana harfordi, displays social behaviour, an attribute that may facilitate the formation of swarms. This species gives live birth, a highly unusual mode of reproduction for an invertebrate and isopod. The rate of viviparous reproduction in C. harfordi is sped up by warmer conditions, indicating the threat that cirolanid isopods pose to ocean resources may intensify with global warming.

25 February 2026

A sample of the species Bathynomus pelor which was caught in a baited trap from an oil rig on the NW Shelf of Australia [5]: (A) lateral view, (B) ventral view, (C) dorsal view, (D) ventral view.

Understanding the impact of monsoonal oscillations during past climatic changes in the Arabian Sea is crucial for improving climate model predictions under ongoing global warming. This study investigates whether millennial-scale climate shifts in Greenland, specifically Dansgaard–Oeschger events 12–11, affected the Indian Ocean monsoon system and the associated productivity and oxygen minimum zone (OMZ) dynamics in the northwestern Arabian Sea. In the Arabian Sea, DO stadials correspond to reduced water-surface productivity, well-ventilated intermediate water masses, and a weakened or absent OMZ. Contrarily, DO interstadials are distinguished by enhanced water-surface productivity, a reorganization of intermediate water masses, and a reinvigoration of the OMZ. Eleven sediment samples from ODP Site 721A were analyzed using a multiproxy approach combining total organic carbon, C/N ratios, bulk-sediment isotopes (δ15N, δ13C), and the relative abundances of Globigerina bulloides and Globigerinoides ruber, complemented by isotopic data (δ13C, δ18O) from G. ruber shells. Further Mg/Ca–δ18O and δ18Osw measurements were included to refine the reconstruction of surface-water hydrography linked to productivity changes. Results reveal significant oscillations in water-surface productivity and OMZ intensity, modulated by shifts in monsoon strength and water-column ventilation. Enriched δ15N values, elevated TOC, and increased G. bulloides relative abundances reflect intensified denitrification and organic matter preservation under a stronger southwest monsoon, whereas depleted δ15N, reduced TOC, and higher G. ruber abundance indicate enhanced ventilation and a weaker OMZ under northeast monsoon dominance. These findings provide new evidence that refines the paleoceanographic history of the Arabian Sea. Additionally, they demonstrate that high-latitude climatic forcing during DO events modulated Arabian Sea monsoon dynamics and oxygenation through strong interhemispheric teleconnections.

17 February 2026

Bathymetric map of the Arabian Sea showing atmospheric circulation during the (a) southwest monsoon and (b) Northeast monsoon. The location of ODP site 721A (16°40.636′ N, 59°51.879′ E) is marked by a red circle. The bold arrow indicates the position of the Findlater Jet, and additional arrows show the dominant wind directions for each season. The dashed yellow line represents the position of the ITCZ during summer. Additional cores used for comparison are marked by white circles. SL167 (22°37.15′ N, 59°41.49′ E; 774 m water depth) [38]; SO-136 KL (SO90-136KL (23°07′0.80″ N, 66°30′0.98″ E, 568 m water depth) [39]; RC-2761 (16°37′0.50″ N, 59°51′0.70″ E; 1893 water depth); RC-2724 (17°43′0.10″ N, 57°49′.20″ E; 1416 m water depth) [40]; NAST (19°59.9′ N 65°41.0′ E; 3167 m water depth) [41]. ODP site 723 (18°3.79′ N, 57°36.61′ E) [42]. (c,d) Seasonal chlorophyll-a concentration (mg m−3) derived from MODIS-Aqua Level 3 climatology highlighting phytoplankton distribution during the (c) SW monsoon and (d) NE monsoon.

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Oceans - ISSN 2673-1924