Connectivity Between Coastal and Oceanic Zooplankton From Rio Grande do Norte in the Tropical Western Atlantic

Leitão, Sigrid Neumann; Júnior, Mauro de Meló; Neto, Fernando de Figueiredo Porto; Silva, Andrea Pinto; Díaz, Xiomara Franchesca Garcia; Silva, Tâmara de Almeida e; Vieira, Dilma Aguiar do Nascimento; Figueirêdo, Lucas Guedes Pereira; Costa, Alejandro Esteweson Santos Faustino da; Santana, Jana Ribeiro de; Campelo, Renata Polyana de Santana; Melo, Pedro Augusto Mendes de Castro; Pessoa, Valdylene Tavares; Lira, Simone Maria de Albuquerque; Schwamborn, Ralf

doi:10.3389/fmars.2019.00287

Cited by 17 publications

(6 citation statements)

References 73 publications

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“…The LifeWatch observations and our model results suggest higher zooplankton density in nearshore regions (Figure 4), and this agrees well with the findings of Mortelmans et al [64] and of Deschutter et al [60] for the BPNS. This was also observed in other areas in the world [65,66]. Van Ginderdeuren et al [27] observed that the highest copepod densities occurred in their 'midshore region' of the BPNS, but that region overlaps with our nearshore region (Figure 1).…”

Section: Comparison Phyto-and Zooplankton Modelling Resultssupporting

confidence: 80%

Pronounced Seasonal and Spatial Variability in Determinants of Phytoplankton Biomass Dynamics along a Near–Offshore Gradient in the Southern North Sea

Otero,

Pint,

Deneudt

et al. 2023

JMSE

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Marine phytoplankton biomass dynamics are affected by eutrophication, ocean warming, and ocean acidification. These changing abiotic conditions may impact phytoplankton biomass and its spatiotemporal dynamics. In this study, we used a nutrient–phytoplankton–zooplankton (NPZ) model to quantify the relative importance of the bottom-up and top-down determinants of phytoplankton biomass dynamics in the Belgian part of the North Sea (BPNS). Using four years (2014–2017) of monthly observations of nutrients, solar irradiance, sea surface temperature, chlorophyll-a, and zooplankton biomass at ten locations, we disentangled the monthly, seasonal, and yearly variation in phytoplankton biomass dynamics. To quantify how the relative importance of determinants changed along a near–offshore gradient, the analysis was performed for three spatial regions, i.e., the nearshore region (<10 km to the coastline), the midshore region (10–30 km), and the offshore region (>30 km). We found that, from year 2014 to 2017, the phytoplankton biomass dynamics ranged from 1.4 to 23.1 mg Chla m−3. Phytoplankton biomass dynamics follow a general seasonal cycle, as is the case in other temperate regional seas, with a distinct spring bloom (5.3–23.1 mg Chla m−3) and a modest autumn bloom (2.9–5.4 mg Chla m−3). This classic bimodal bloom pattern was not observed between 2003 and 2010 in the BPNS. The seasonal pattern was most expressed in the nearshore region. The relative contribution of factors determining phytoplankton biomass dynamics varied spatially and temporally. Throughout a calendar year, solar irradiance and zooplankton grazing were the most influential determinants in all regions, i.e., they jointly explained 38–65% of the variation in the offshore region, 45–71% in the midshore region, and 56–77% in the nearshore region. In the near- and midshore regions, nutrients were the greatest limit on phytoplankton production in the month following the spring bloom (44–55%). Nutrients were a determinant throughout the year in the offshore region (27–62%). During winter, sea surface temperature was a determinant in all regions (15–17%). By the high-resolution spatiotemporal analysis of the relative contributions of different determinants, this study contributes to a better mechanistic understanding of the spatiotemporal dynamics of phytoplankton biomass in the southern North Sea. This detailed understanding is anticipated to contribute to the definition of targeted management strategies for the BPNS and to support sustainable development in Belgium’s blue economy.

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Section: Comparison Phyto-and Zooplankton Modelling Resultssupporting

confidence: 80%

Pronounced Seasonal and Spatial Variability in Determinants of Phytoplankton Biomass Dynamics along a Near–Offshore Gradient in the Southern North Sea

Otero,

Pint,

Deneudt

et al. 2023

JMSE

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“…The abundance, biomass, taxonomic, and size composition of plankton guilds (e.g., phytoplankton and zooplankton) reflect these environmental differences. Broadly, plankton in continental habitats are more abundant, have larger body sizes, and assemblages have lower diversity from reduced evenness (i.e., a few taxa dominate) in comparison to oceanic waters (45)(46)(47); notable exceptions include coastal water advected offshore, frontal zones, and cold-core eddies where nutrient concentrations tend to be elevated. These biophysical contrasts strengthen with increasing latitude as seasonality effects intensify (48), yielding stronger habitat partitioning between continental and oceanic plankton assemblages.…”

Section: Introductionmentioning

confidence: 99%

Big or small, patchy all: Resolution of marine plankton patch structure at micro- to submesoscales for 36 taxa

et al. 2021

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“…Lue and Webber (2014) studied zooplankton from oceanic, shelf, and harbor waters, south-east coast, Jamaica by conducting vertical hauls with 64, 200, and 600μm mesh size-nets (compared to 40, 75, 300, and 600μm in the present study); in 106-114 taxa, the abundance of zooplankton ranged from 5,858.5 to 2,124.2 individuals/m3 (mean = 47). Leitao et al (2019) studied connectivity between coastal and oceanic zooplankton from Rio Grande do Norte, tropical Western Atlantic, using 64, 120, and 300μm. They identified 199 taxa, 88 of them in the microzooplankton fraction, 115 in the mesozooplankton fraction, and 102 in the macrozooplankton fraction.…”

Section: Discussionmentioning

confidence: 99%

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2022

IRJNS

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Zooplankton in seawater samples collected from two wave-breaking regions at the rocky shores of Al-Satah and Al-Warsh, and the shore of a brackish lagoon (Um-Hufayan) devoid of strong waves, during summer, fall, winter, and spring 2019/2020, and filtered through 600µ. 300µ. 75µ, and 40µ sieves stacked on top of each other, were investigated qualitatively and quantitatively. The repeated bombardment of waves on rocky shores of Al-Satah, Al-Warsh, that normally continue for days, had no deleterious effect on plankton. Altogether, 45 zooplankton species or lower-taxa were encountered during the study, the overall concentration of zooplankton was 23199 to 23764 individuals per m 3 . Zooplankton diversity indices by major-group or major-taxon, species or lower-taxa, site, season, and sieve mesh were established and discussed in terms of salinity, runoff regime, type of bottom substratum and hydrographic conditions of waves and winds. In general, the descending order of zooplankton richness by the number of species per major-groups or major-taxa was Arthropoda, Protozoa, Chordata, Coelenterata (Cnidaria and Ctenophora), Mollusca, Annelida, Gelatinous species, Rotifera, Nematoda, Chaetognatha, and Echinodermata. Abundance by the number of individuals per major-groups or major-taxa was of the order Arthropoda,

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Connectivity Between Coastal and Oceanic Zooplankton From Rio Grande do Norte in the Tropical Western Atlantic

Cited by 17 publications

References 73 publications

Pronounced Seasonal and Spatial Variability in Determinants of Phytoplankton Biomass Dynamics along a Near–Offshore Gradient in the Southern North Sea

Pronounced Seasonal and Spatial Variability in Determinants of Phytoplankton Biomass Dynamics along a Near–Offshore Gradient in the Southern North Sea

Big or small, patchy all: Resolution of marine plankton patch structure at micro- to submesoscales for 36 taxa

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