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Рис. 5. Зависимость начала нереста приморского гребешка и тихоокеанской устрицы в Зал. Петра Великого от суммы поверхностных температур (март–июнь): 1 – начало нереста приморского гребешка; 2 – начало нереста тихоокеанской устрицы; 3 – сумма поверхностных температур За период с марта по июнь. Fig. 5. Dependence of start of spawning of the Japanese scallop and Pacific (giant) oyster in Peter the Great Bay on the sum of sea surface temperatures (March–June): 1 – beginning of spawning of the Japanese scallop; 2 – beginning of spawning of the Pacific oyster; 3 – sum of sea surface temperatures for the period from March to June. in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement

Рис. 5. Зависимость начала нереста приморского гребешка и тихоокеанской устрицы в Зал. Петра Великого от суммы поверхностных температур (март–июнь): 1 – начало нереста приморского гребешка; 2 – начало нереста тихоокеанской устрицы; 3 – сумма поверхностных температур За период с марта по июнь. Fig. 5. Dependence of start of spawning of the Japanese scallop and Pacific (giant) oyster in Peter the Great Bay on the sum of sea surface temperatures (March–June): 1 – beginning of spawning of the Japanese scallop; 2 – beginning of spawning of the Pacific oyster; 3 – sum of sea surface temperatures for the period from March to June.

Рис. 2. График вЗаимосвяЗи меЖду суммой средних месячных температур воды марта и апреля и датами начала нереста. Fig. 2. Graph of relationship between the sum of the average monthly water temperatures of March and April and the start dates of spawning. in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement

Рис. 2. График вЗаимосвяЗи меЖду суммой средних месячных температур воды марта и апреля и датами начала нереста. Fig. 2. Graph of relationship between the sum of the average monthly water temperatures of March and April and the start dates of spawning.

Рис. 1. Среднемесячная температура воды в б. Новгородская на поверхности: 1 – За период 1931–1973 гг.; 2 – За 1977 г.; 3 – За 1978 г.; 4 – За 1979 г.; 5 – За 1980 г.; 6 – За 1981 г.; 7 – температура нереста (18ºС). Fig. 1. Average monthly sea surface water temperature in Novgorodskaya Bay: 1 – for the period 1931–1973; 2 – for 1977; 3 – for 1978; 4 – for 1979; 5 – for 1980; 6 – for 1981; 7 –spawning temperature (18ºC). in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement

Рис. 1. Среднемесячная температура воды в б. Новгородская на поверхности: 1 – За период 1931–1973 гг.; 2 – За 1977 г.; 3 – За 1978 г.; 4 – За 1979 г.; 5 – За 1980 г.; 6 – За 1981 г.; 7 – температура нереста (18ºС). Fig. 1. Average monthly sea surface water temperature in Novgorodskaya Bay: 1 – for the period 1931–1973; 2 – for 1977; 3 – for 1978; 4 – for 1979; 5 – for 1980; 6 – for 1981; 7 –spawning temperature (18ºC).

Data from: Intense upper ocean mixing due to large aggregations of spawning fish

This dataset includes data collected during the cruise REMEDIOS-TL in the Ría de Pontevedra (NW Iberia) at station P2 (42.357°N, 8.773°W) from 29 June to 18 July 2018 onboard of the Research Vessel Ramón Margalef belonging to the Spanish Institude of Oceanography. The REMEDIOS project is funded by the Spanish Ministry of Economy and Inno-445vation under the research project REMEDIOS (CTM2016-75451-C2-1-R) and leaded by Beatriz Mouriño Carballido. The archived data are described in a manuscript entitled "Intense upper ocean mixing due to large aggregations of spawning fish" by Fernández Castro et al. published in Nature Geoscience: Fernández Castro, B., Peña, M., Nogueira, E. et al. Intense upper ocean mixing due to large aggregations of spawning fish. Nat. Geosci. 15, 287–292 (2022). https://doi.org/10.1038/s41561-022-00916-3 The manuscript presents evidence that night-time aggregations of anchovies produce intense ocean turbulence and mixing. All the data needed to support the conclusions of the article are included in this dataset. The dataset includes: - Microstructure profiles collected with a MSS Sea&Sun profiler during the three intensive samplings of the cruise (I01, I02, I03) - Ocean currents measured with a bottom moored RD Instruments acoustic Doppler profiler (ADCP, 300Khz) for the duration of the cruise - Acoustic backscatter from a ship-borne echosounder Simrad EK80 for the frequencies 18, 38, 70, 120 and 200 KHz and the three intensive samplings of the cruise (I01, I02, I03) - European anchovy (Engraulis encrasicolus) egg counts from plankton hauls samplings.

opencc-zeroJun 2022View details →

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Population connectivity and genetic offset in the spawning coral Acropora digitifera in Western Australia

Anthropogenic climate change has caused widespread loss of species biodiversity and ecosystem productivity across the globe, particularly on tropical coral reefs. Predicting the future vulnerability of reef-building corals, the foundation species of coral reef ecosystems, is crucial for cost-effective conservation planning in the Anthropocene. In this study, we combine regional population genetic connectivity and seascape analyses to explore patterns of genetic offset (the mismatch of gene-environmental associations under future climate conditions) in Acropora digitifera across 12 degrees of latitude in Western Australia. Our data revealed a pattern of restricted gene flow and limited genetic connectivity among geographically distant reef systems. Environmental association analyses identified a suite of loci strongly associated with the regional temperature variation. These loci helped forecasting future genetic offset in random forest and generalised dissimilarity models. These analyses predicted pronounced differences in the response of different reef systems in Western Australia to rising temperatures. Under the most optimistic future warming predictions (RCP 2.6), we observed a general pattern of increasing genetic offset with latitude. Under the most extreme climate scenario (RCP 8.5 in 2090-2100), coral populations at the Ningaloo World Heritage Area were predicted to experience a higher mismatch in genetic composition, compared to populations in the inshore Kimberley region. The study suggest complex and spatially heterogeneous patterns of climate-change vulnerability in coral populations across Western Australia, reinforcing the notion that regionally tailored conservation efforts will be most effective at managing coral reef resilience into the future.

Рис. 7. Сумма температур перед нерестом приморского гребешка (а) и количество спата на коллекторах (б). Fig. 7. The sum of temperatures before spawning of the Japanese scallop (a) and the number of spat on collectors (б). in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement

Рис. 7. Сумма температур перед нерестом приморского гребешка (а) и количество спата на коллекторах (б). Fig. 7. The sum of temperatures before spawning of the Japanese scallop (a) and the number of spat on collectors (б).

FIGURE 3 in Protection of spawning habitat for potamodromous fish, an urgent need for the hydropower planning in the Andes

FIGURE 3 | Correlations between geomorphological and physicochemical variables, and ichthyoplankton density. Basin: basin area, Sinuous: channel sinuosity index, Flood: floodplain area, Cond: conductivity, Trans: transparency, Temp: temperature. α = 0.05.

FIGURE 2 in Protection of spawning habitat for potamodromous fish, an urgent need for the hydropower planning in the Andes

FIGURE 2 | Spatial variation in the median density of ichthyoplankton among tributaries. (Kruskal-Wallis H = 208.29, df = 9, p-value <2.2e-16). T01: Samaná River; T02: Nare River; T03: Espíritu Santo River; T04: Carare River; T05: Opón River; T06: Sogamoso River; T07: Boque River; T08: Nechí River; T09: San Jorge River and T10: Cesar River.

FIGURE 4 in Protection of spawning habitat for potamodromous fish, an urgent need for the hydropower planning in the Andes

FIGURE 4 | Potential spawning grounds for 13 sampled potamodromous fish species of the Magdalena basin. A. Baseline (current) scenario, and B. Full hydroelectric projects development scenario.

FIGURE 1 in Protection of spawning habitat for potamodromous fish, an urgent need for the hydropower planning in the Andes

FIGURE 1 | Location of the sampling tributaries (black circles) in the Magdalena River basin. T01: Samaná River; T02: Nare River; T03: Espíritu Santo River; T04: Carare River; T05: Opón River; T06: Sogamoso River; T07: Boque River; T08: Nechí River; T09: San Jorge River and T10: Cesar River. Magdalena River runs north.

Fig. 5 in Using spatial indicators to investigate fish spawning strategies from ichthyoplankton surveys: A case study on co-occurring pelagic species from the North-East Aegean Sea Abstract

Fig. 5: Distribution and abundance maps of eggs during May (A, B) and July 2010 (C-E), in the NE Aegean Sea. The major patches are indicated by different colours, while the size of the circles is scaled by the maximum abundance per species and period (Table 2). The number of each patch indicates the ranking according to the abundance of individuals in each patch. The small black cross symbols show the centres of gravity (CG) of each major patch (i.e. those patches having more than 10% of the overall abundance; Table 3). The large cross indicates the CG of the population. The length of the cross axes indicate the isotropy of the egg distribution. The 200m isobaths are also shown (dark contour line).

Fig. 4 in Using spatial indicators to investigate fish spawning strategies from ichthyoplankton surveys: A case study on co-occurring pelagic species from the North-East Aegean Sea Abstract

Fig. 4: Box-and-whisker plots for temperature (oC; at 10 m depth), salinity (at 10 m depth), log-transformed integrated fluorescence (μg l-1) and log-transformed mesozooplankton biomass (mg m-2) between three groups of sampling stations: L – Lemnos plateau, O – offshore pelagic area north of Lemnos island, and T- Thracian Sea shelf. Boxes indicate median and interquartile ranges, whiskers delineate full ranges. F-values are provided for comparisons of the parameters between the three groups (L, O, T) and within each season. For comparisons that did not meet the assumptions of the analysis of variance, the Kruskal-Wallis statistic H is provided. Asterisks indicate significant differences: *p <0.05, **p <0.01, ***p <0.001. Post-hoc multiple comparisons were performed with a Student-Newman-Keul's test, where statistically significant differences among groups are indicated by letters a, b, c on the left side of each box. Groups with the same letter do not differ significantly.

Fig. 3 in Using spatial indicators to investigate fish spawning strategies from ichthyoplankton surveys: A case study on co-occurring pelagic species from the North-East Aegean Sea Abstract

Fig. 3: Contour maps of the vertical distribution of temperature (oC; left column), salinity (middle column) and fluorescence (μg Chlα l-1; right column) during May 2010 along transect A (A-C) and transect B (D-F), and during July 2010 along transects A (H-J) and B (K-M). Y-axis: depth of the water column; X-axis: distance (nmi) from the northern sampling station (0 nmi) to the southern station. The position (distance, nmi) of the sampling stations along the transects are shown in white, dashed lines on top of the temperature contour maps.

Fig. 2 in Using spatial indicators to investigate fish spawning strategies from ichthyoplankton surveys: A case study on co-occurring pelagic species from the North-East Aegean Sea Abstract

Fig. 2: Temperature (oC, 10 m depth; A, E), salinity (10 m; B, F), integrated fluorescence (μg Chl-a l-1, 0-100 m; C, G) and mesozooplankton biomass (mg m-2; D, H) during May (A-D) and July 2010 (E-H) in the study area.

Fig. 1 in Using spatial indicators to investigate fish spawning strategies from ichthyoplankton surveys: A case study on co-occurring pelagic species from the North-East Aegean Sea Abstract

Fig. 1: Ichthyoplankton (shown as open red circles) and CTD sampling stations (shown as filled red circles) during May and July 2010. The isobaths of 100 and 200 m are shown (light and dark blue lines, respectively). Black arrows indicate the main circulation pattern in the area: LIS - Lemnos-Imvros stream, SG - Samothraki gyre (Somarakis et al., 2002). The sampling stations of transects A and B (grey lines) show the vertical structure of the water column in Figure 3.

opencc-by-4.0Sep 2013View details →

Fig. 1 in Induced spawning and reproductive variables of the catfish Lophiosilurus alexandri Steindachner, 1876 (Siluriformes: Pseudopimelodidae)

Fig. 1. Linear relationships of total fecundity (TF), initial fertility (IF) and final fertility (FF) to variations in body weight (BW) (a) and total length (TL) (b), obtained simultaneously from nine Lophiosilurus alexandri females submitted to hypophysation at Três Marias Hydrobiology and Hatchery Station in January 1997.

opencc-by-4.0Sep 2013View details →

Fig. 2 in Induced spawning and reproductive variables of the catfish Lophiosilurus alexandri Steindachner, 1876 (Siluriformes: Pseudopimelodidae)

Fig. 2. Macro and microscopic morphology of the ovaries (a-b) and testis (c-d) mature of the Lophiosilurus alexandri. (a) The mature ovaries were bulky, highly vascularized, yellowish and presenting large vitellogenic oocytes. (b) Histological section of the vitellogenic oocyte characterized by the presence of acidophilic yolk globules (Y) throughout the ooplasm and nucleus (N) migrating toward the animal pole. (c) Mature testis (arrow) are whitish, turgids, vascularized and with well developed fringes (Insert showing fringes). (d) Mature testis showing seminiferous tubules (ST) filled by spermatozoa (SPZ). (a, c and insert) bars 1cm; (b and d) stained with hemotoxylin-eosin and bars 100 μm.

opencc-by-4.0Dec 2023View details →

Figure 1 in Oocyte distribution, ovarian organization, and spawning pattern in Lutjanus griseus

Figure 1. – Phase-specific variation of oocyte size frequency in ovaries from female Lutjanus griseus in the early developing subphase; spawning capable phase; actively spawning subphase; and past-spawner subphase. Oocytes undergoing germinal vesicle breakdown (GVBD) and hydrated (H) were observed during the actively spawning subphase, but their diameter could not be determined since nucleus was not visible. PG = primary growth oocyte (mean diameter = 47.1 ± 15.1 μm, n = 46730); CA = cortical alveolar oocyte (128.3 ± 29.5 μm, n = 3148); Vtg1 = primary vitellogenic oocyte (190.3 ± 28 μm, n = 709); Vtg2 = secondary vitellogenic oocyte (258.32 ± 29 μm, n = 631) and Vtg3 = tertiary vitellogenic oocyte (298.58 ± 28.2 μm, n = 935); OM (GVM) = oocyte undergoing germinal vesicle migration (274.47 ± 21.2 μm, n = 6). Postovulatory follicles were present in ovaries of past-spawner females.

opencc-by-4.0Dec 2022View details →

Figure S1 in Capelin beach spawning diaries: an analysis of 30 years of citizen science data from the island of Newfoundland, Canada

Figure S1. – Histograms of permutation test statistics testing the null hypothesis that the timing of first day of spawning was random amongst the three NAFO divisions (3KLPs). A) First day of spawning in Div. 3Ps was significantly earlier than in Div. 3L (two-tailed permutation test statistic: p = 0.0005) and B) Div. 3K (two-tailed permutation test statistic: p = 0.0005). C) There was no significant difference in first spawning day between Div. 3L and Div. 3K (two-tailed permutation test statistic: p = 0.588). The vertical line in each panel is the original test statistic.