Variable predator–prey relations in zooplankton overwintering in subarctic fjords

Zooplankton predator–prey relations in northern Norwegian fjords are highly variable in time and space, and the mechanisms driving this variability are still poorly understood. Replicate Juday net sampling in October and February from 1983 to 2005, which included five repeated tows from bottom to surface, was conducted in Saltfjord and Mistfjord, northern Norway. The time-series provided evidence of in situ variability in species abundance, as well as seasonal and interannual changes in standing stock abundance. The shallow sill of one fjord caused accumulation of coastal water in the fjord’s basin, while the other fjord’s deeper sill selected denser water of Atlantic origin from the same open shelf habitat. The selective advection caused differences in the immigration of species recruiting to the fjords’ specific overwintering communities of zooplankton. Statistical analyses of the cumulated replicate data indicated significant in situ variability in the spatial density of species. Cases with an abundance of carnivores relating positively to other species probably resulted from the carnivores’ attraction to patches with concentrations of prey. Interspecific negative density relations likely indicated either predator avoidance or substantial trophic activity during the sampling. During years of high abundance, some wintering stocks of carnivores evidently reduced the local stocks of overwintering prey. We conclude that predator–prey interactions and stock variability in Subarctic fjords result from complex bio-geophysical interactions that occur on the scales of local habitats and basin-scale population systems.publishedVersio

A major Calanus finmarchicus overwintering population inside a deep fjord in northern Norway: implications for cod larvae recruitment success

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Super-Aggregations of Krill and Humpback Whales in Wilhelmina Bay, Antarctic Peninsula

Ecological relationships of krill and whales have not been explored in the Western Antarctic Peninsula (WAP), and have only rarely been studied elsewhere in the Southern Ocean. In the austral autumn we observed an extremely high density (5.1 whales per km2) of humpback whales (Megaptera novaeangliae) feeding on a super-aggregation of Antarctic krill (Euphausia superba) in Wilhelmina Bay. The krill biomass was approximately 2 million tons, distributed over an area of 100 km2 at densities of up to 2000 individuals m−3; reports of such ‘super-aggregations’ of krill have been absent in the scientific literature for >20 years. Retentive circulation patterns in the Bay entrained phytoplankton and meso-zooplankton that were grazed by the krill. Tagged whales rested during daylight hours and fed intensively throughout the night as krill migrated toward the surface. We infer that the previously unstudied WAP embayments are important foraging areas for whales during autumn and, furthermore, that meso-scale variation in the distribution of whales and their prey are important features of this system. Recent decreases in the abundance of Antarctic krill around the WAP have been linked to reductions in sea ice, mediated by rapid climate change in this area. At the same time, baleen whale populations in the Southern Ocean, which feed primarily on krill, are recovering from past exploitation. Consideration of these features and the effects of climate change on krill dynamics are critical to managing both krill harvests and the recovery of baleen whales in the Southern Ocean

A Solve-RD ClinVar-based reanalysis of 1522 index cases from ERN-ITHACA reveals common pitfalls and misinterpretations in exome sequencing

Purpose Within the Solve-RD project (https://solve-rd.eu/), the European Reference Network for Intellectual disability, TeleHealth, Autism and Congenital Anomalies aimed to investigate whether a reanalysis of exomes from unsolved cases based on ClinVar annotations could establish additional diagnoses. We present the results of the “ClinVar low-hanging fruit” reanalysis, reasons for the failure of previous analyses, and lessons learned. Methods Data from the first 3576 exomes (1522 probands and 2054 relatives) collected from European Reference Network for Intellectual disability, TeleHealth, Autism and Congenital Anomalies was reanalyzed by the Solve-RD consortium by evaluating for the presence of single-nucleotide variant, and small insertions and deletions already reported as (likely) pathogenic in ClinVar. Variants were filtered according to frequency, genotype, and mode of inheritance and reinterpreted. Results We identified causal variants in 59 cases (3.9%), 50 of them also raised by other approaches and 9 leading to new diagnoses, highlighting interpretation challenges: variants in genes not known to be involved in human disease at the time of the first analysis, misleading genotypes, or variants undetected by local pipelines (variants in off-target regions, low quality filters, low allelic balance, or high frequency). Conclusion The “ClinVar low-hanging fruit” analysis represents an effective, fast, and easy approach to recover causal variants from exome sequencing data, herewith contributing to the reduction of the diagnostic deadlock

Observational carbon and nitrogen zooplankton stable isotope and environmental data in the North Atlantic Ocean from 2009-2018

Calanus (copepod) sampled by the Continuous Plankton Recorder (CPR) survey (https://www.cprsurvey.org/) in the North Atlantic from 2009-2018 were analysed for stable carbon (d13C) and nitrogen (d15N) isotopes. This observational dataset was used together with environmental variables (sea surface temperature, mixed layer depth, chlorophyll a, wind speed) to develop Bayesian spatial models and to produce yearly and seasonal isoscapes (spatial modelling of stable isotope ratio) for 1998-2020

Modelled carbon and nitrogen zooplankton stable isotope data in the North Atlantic Ocean from 1998-2020

Calanus (copepod) sampled by the Continuous Plankton Recorder (CPR) survey (https://www.cprsurvey.org/) in the North Atlantic from 2009-2018 were analysed for stable carbon (d13C) and nitrogen (d15N) isotopes. This observational dataset was used together with environmental variables (sea surface temperature, mixed layer depth, chlorophyll a, wind speed) to develop Bayesian spatial models and to produce yearly and seasonal isoscapes (spatial modelling of stable isotope ratio) for 1998-2020. This dataset contains the isoscapes data, the isoscapes plots and and the Suess correction factors for the d13C isoscape data

Distribution et structure des communautés zooplanctoniques dans deux écosystèmes côtiers. : Analyse de l'impact des facteurs physiques et trophiques sur les distributions spatiales et les spectres de taille du zooplancton.

La structure de taille et la distribution spatiale du zooplancton ont été étudiées dans deux écosystèmes : une baie de la côte Ouest de la péninsule antarctique et le golfe du Lion en mer méditerranée occidentale. L'acquisition des spectres a été permise par l'utilisation de deux capteurs optiques : le ZooScan / ZooProcess et le Laser Optical Plankton Counter (LOPC). L'impact de différents types de forçages sur les spectres de taille des communautés zooplanctoniques a été mis en évidence dans les deux écosystèmes côtiers, notamment grâce aux caractéristiques des spectres de biomasse normalisée. Le long de la péninsule Antarctique, la fin de l'automne est une période charnière à tous les niveaux trophiques avec la baisse de la production primaire et l'agrégation du krill (Euphausia superba) dans les baies continentales. Les données ADCP ont permis de localiser dans une des baies le plus grand banc de krill échantillonné depuis 20 ans. L'étude du comportement alimentaire du krill en réponse à la baisse de la production primaire a montré l'impact du krill sur les spectres de taille des communautés mésozooplanctoniques, et en particulier sur les espèces de petites tailles. Un autre type de forçage a été mis en avant dans le golfe du Lion, où les structures physiques très variables induites par les apports du Rhône, le courant Liguro-Provençal et les vents influent directement sur la distribution spatiale du zooplancton. Des sous-régions ont été identifiées à partir de corrélations entre des paramètres physiques tels que la stratification de la colonne d'eau et des paramètres biologiques tels que la concentration en chl-a ou la pente des spectres de biomasse normalisée.Zooplankton size structure and spatial distribution were investigated in a bay along the West Antarctic Peninsula (WAP) and in the Gulf of Lion in Western Mediterranean Sea. Zooplankton size spectra were determined with the use of two optical sensors, the Laser Optical Plankton Counter (LOPC) and the ZooScan / ZooProcess system. Using features of the biomass size spectrum is was possible to identify different forcing processes that affected zooplankton size spectrum and spatial distribution in the two ecosystems. In WAP, late fall is a transition time at all the trophic levels, with the decrease of primary production and the aggregation of Antarctic krill (Euphausia Superba) in continental bays. ADCP data permitted to find in a bay the largest Antarctic krill swarm reported in the last twenty years. Study of krill feeding behavior in response to the decrease of primary production showed impact of krill on mesozooplankton size spectrum and especially a decrease of the small size species abundance. A different type of forcing was found in the Gulf of Lion, where zooplankton spatial distribution was affected by physical structures such as the inputs by the Rhône river, the Liguro-Provençal current and winds. The correlation between physical and biological parameters e.g. water masses stratification, chl-a concentration, slope of the normalized biomass size spectrum (NBSS), allowed the identification of three different regions in the Gulf of Lion. These potential habitats show different zooplankton size structure, with strong NBSS slopes close to the coast and weaker NBSS slopes in the zone of the Rhône plume influence

Environmental effects on zooplankton abundance on a sub-Arctic shelf off northern Norway

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Relationship between zooplankton distribution and physicals structures during two different seasons in the Gulf of Lion.

International audienceDuring three cruises (2 to 17 October 2009, 26 April to 7 May 2010, 23 January to 4 February 2011), the whole French continental shelf of the Gulf of Lion was sampled to obtain an overview on the zooplankton community size structure. 6 transects from the coast to the open ocean were conducted for a total of 160 stations. A laser optical plankton counter (LOPC) was used to estimate abundance, biovolume, and general characteristics of size spectra. The vertical distribution of, the LOPC counts, the chla concentration and the hydrological parameters was investigated in order to highlight their interactions and the main structures. Different patterns of particle distributions occur following the water column structure and the bathymetry. A PCA was done on physicals and biological parameters to interpret the links between the different parameters. A clustering test allowed us to define 3 spatial areas corresponding potentially to different type of habitat: the Rhône plume, the coastal area and the continental shelf area. The zooplankton size distribution was investigated within the three areas using the normalized biomass size spectrum (NBSS). The coastal area was characterized by the highest NBSS slopes and highest chla concentration, the upwelling and the formation of deep water participated to keep the water mixed. The Rhône plume showed the lowest NBSS slopes associated with strong water stratification. These waters were rich in nutrient promoted high chlorophyll a concentrations in the surface water layer and carried on the continental shelf a lot of organic matter. The continental shelf showed the lowest abundances and was hit by the Liguro-Provençal current depending on the season. The NBSS slopes were higher during winter, meaning the proportions of large organisms were more important during the post bloom period (May and October)

Variable predator–prey relations in zooplankton overwintering in subarctic fjords

Zooplankton predator–prey relations in northern Norwegian fjords are highly variable in time and space, and the mechanisms driving this variability are still poorly understood. Replicate Juday net sampling in October and February from 1983 to 2005, which included five repeated tows from bottom to surface, was conducted in Saltfjord and Mistfjord, northern Norway. The time-series provided evidence of in situ variability in species abundance, as well as seasonal and interannual changes in standing stock abundance. The shallow sill of one fjord caused accumulation of coastal water in the fjord’s basin, while the other fjord’s deeper sill selected denser water of Atlantic origin from the same open shelf habitat. The selective advection caused differences in the immigration of species recruiting to the fjords’ specific overwintering communities of zooplankton. Statistical analyses of the cumulated replicate data indicated significant in situ variability in the spatial density of species. Cases with an abundance of carnivores relating positively to other species probably resulted from the carnivores’ attraction to patches with concentrations of prey. Interspecific negative density relations likely indicated either predator avoidance or substantial trophic activity during the sampling. During years of high abundance, some wintering stocks of carnivores evidently reduced the local stocks of overwintering prey. We conclude that predator–prey interactions and stock variability in Subarctic fjords result from complex bio-geophysical interactions that occur on the scales of local habitats and basin-scale population systems