A5034723241- Marine and fisheries research
- Marine and coastal ecosystems
- Oceanographic and Atmospheric Processes
- Climate variability and models
- Food Industry and Aquatic Biology
- Ocean Acidification Effects and Responses
- Coastal and Marine Management
- Marine Bivalve and Aquaculture Studies
- Coral and Marine Ecosystems Studies
- Isotope Analysis in Ecology
- Geology and Paleoclimatology Research
- Arctic and Antarctic ice dynamics
- Fish Ecology and Management Studies
- Atmospheric and Environmental Gas Dynamics
- nanoparticles nucleation surface interactions
- Climate Change and Environmental Impact
- Interdisciplinary Research and Collaboration
- Marine and environmental studies
- Atmospheric chemistry and aerosols
- Methane Hydrates and Related Phenomena
- Innovation, Technology, and Society
- Marine Biology and Ecology Research
- Sustainability in Higher Education
Aarhus University
2023-2024
University of Oslo
2020-2024
DHI
2024
University of Strathclyde
2021
University of Washington
2018-2021
Technical University of Denmark
2014-2015
Abstract Aim This study examined phytoplankton blooms on a global scale, with the intention of describing patterns bloom timing and size, effect size blooms, time series trends in characteristics. Location Global. Methods We used change‐point statistics algorithm to detect (1998–2015) chlorophyll concentration data over grid. At each location, for dominant bloom, based search period that resulted most detected, were describe spatial distribution characteristics globe. Time also subjected...
Abstract Sustainable fishery practices require accurate predictions of fish recruitment—the abundance a new year class entering fishery. A key driver recruitment is the impact predator-prey dynamics experienced during early life stages has on their survival at later stages, as in Match-Mismatch Hypothesis (MMH). MMH states that predator depends match (or mismatch) between timing feeding and prey availability. This study aims to understand how spatio-temporal overlap explains variation...
Abstract Phytoplankton phenology (the timing of seasonal events) is a commonly used indicator for evaluating responses marine ecosystems to climate change. However, phenological metrics are vulnerable observation‐(bloom amplitude, missing data, and observational noise) analysis‐related (temporal resolution, preprocessing technique, metric) processes. Here we consider the impact these processes on robustness four (timing maximum, 5% above median, maximum growth rate, 15% cumulative...
A key process affecting variation in the recruitment of fish into fisheries is spatio-temporal overlap between prey and predator (match-mismatch hypothesis, MMH). The Northeast Arctic cod Gadus morhua its dominant prey, copepod Calanus finmarchicus , have long been studied Norwegian-Barents Sea system. However, mechanistic explanation how survival affected by MMH dynamics remains unclear. Most studies focused on either time synchrony or spatial trophic levels. Here, we used G. larvae C. data...
Explaining variation in life history phenology requires us to disentangle environmental-dependent variability from that caused by adaptive change across time and space. Here, we offer thermal models (models measuring temperature units) as tools understand the spawning dynamics of small pelagic fish, such Pacific herring Clupea pallasii . We hypothesised explains annual timing space time. By testing this hypothesis, identified developmental constants (thermal spawning) can be used make...
Abstract The southwestern Norwegian Sea is characterized by an inflow of warm and saline Atlantic water from the southwest cold less East Icelandic Water (EIW), Arctic origin, northwest. These two masses meet form Iceland-Faroe Front (IFF). In this region, copepod Calanus finmarchicus plays a key role in pelagic ecosystem. Time-series C. hyperboreus May September, extending back to early 1990s, were studied relation phytoplankton bloom dynamics hydrography. main reproductive period started...
Abstract. Several hypotheses have been proposed for the onset of spring phytoplankton bloom in North Atlantic. Our main objective is to examine which bottom-up processes can best predict annual increase surface concentration Atlantic by applying novel phenology algorithms ocean colour data. We construct indicator fields and time series which, various combinations, provide models consistent with principle dynamics previously proposed. Using a multimodel inference approach, we investigate...
Generalized additive models (GAMs) were used to test the hypothesis that changes in physical and biological environmental conditions affected by current climatic warming would negatively impact euphausiid populations North Atlantic. Two zooplankton time series used, one collected Marine Research Institute (MRI) on a transect south of Iceland during spring (1990–2011) other Continuous Plankton Recorder (CPR) survey (1958–2007) oceanic waters covering all months. Due limitations sampling gears...
CR Climate Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout JournalEditorsSpecials 74:121-129 (2017) - DOI: https://doi.org/10.3354/cr01491 OPINION PIECE Avoiding pitfalls in interdisciplinary education R. E. Holt1,11,*, P. J. Woods2,12, A. S. Ferreira3,13, H. Bardarson2,12, Bonanomi4,14, W. Boonstra5, Butler2, F. K. Diekert6,15, N. Fouzai1, M. Holma7, Kokkalis3, Ø. Kvile6,16, I. Macdonald2, Malanski3,17,...
The Norwegian-Barents Sea (NBS) system is very productive; however, the extent to which this productivity varies remains uncertain for many species. Cod Gadus morhua , haddock Melanogrammus aeglefinus and capelin Mallotus villosus are 3 key species that overlap in a large portion of NBS ecosystem. In hypothesis-driven study, we investigated interaction these during their pelagic larval stage assessed impact spatio-temporal on survival. We hypothesised between larvae species, as they likely...
Abstract. Several hypotheses have been proposed for phytoplankton bloom onset in the North Atlantic. The physical properties driving seasonality can also be used as indicators of greening oceans. Our main objective is to examine which bottom-up processes best predict changes growing phase surface blooms Atlantic, by applying novel phenology algorithms ocean colour data. We construct indicator fields and time series which, various combinations, provide models consistent with principle...
With raising temperatures in the Arctic, extent of sea ice is decreasing dramatically resulting a larger fraction Arctic ocean surface being exposed to atmosphere. Therefore, ice-free and particular microlayer (SML), which represents upper 1 mm water column becoming increasing interest as source bioaerosols with nucleating properties. These biological particles (INPs) can be aerosolized by wave breaking bubble bursting. In atmosphere, they may trigger freezing cloud...