A5079158661- Marine and fisheries research
- Fish Ecology and Management Studies
- Marine Bivalve and Aquaculture Studies
- Isotope Analysis in Ecology
- Coral and Marine Ecosystems Studies
- Organ Transplantation Techniques and Outcomes
- Organ Donation and Transplantation
- Fish Biology and Ecology Studies
- Aquaculture Nutrition and Growth
- Marine Biology and Ecology Research
- Insect and Arachnid Ecology and Behavior
- Digestive system and related health
- Species Distribution and Climate Change
- Plant and animal studies
- Physiological and biochemical adaptations
- Insect and Pesticide Research
- Liver Disease Diagnosis and Treatment
- Liver Disease and Transplantation
- Expert finding and Q&A systems
- Interdisciplinary Research and Collaboration
- Cancer Treatment and Pharmacology
- Sustainable Agricultural Systems Analysis
- Soft tissue tumors and treatment
- Geology and Paleoclimatology Research
- Biliary and Gastrointestinal Fistulas
National Marine Fisheries Research Institute
2015-2024
Norwegian Institute of Marine Research
2019-2022
Baystate Medical Center
2016
Tufts University
2016
Wayne State University
1994-2012
Fox Chase Cancer Center
1997
Abstract Marine ecosystems, particularly in high‐latitude regions such as the Arctic, have been significantly affected by human activities and contributions to climate change. Evaluating how fish populations responded past changes their environment is helpful for evaluating future patterns, but often hindered lack of long‐term biological data available. Using otolith increments Northeast Arctic cod ( Gadus morhua ) a proxy individual growth, we developed century‐scale biochronology...
The northern pike (Esox lucius) is an iconic predatory fish species of significant recreational value and ecological role in the Baltic Sea. Some earlier studies indicate local declines region, but a thorough spatial evaluation regional population trends Sea lacking. In this study, we collate data from 59 unique time-series fisheries landings fishery-independent monitoring programs to address temporal populations since mid-2000′s eight countries surrounding common analysis considering all...
Marine spatial planning (MSP) is considered a valuable tool in the ecosystem-based management of marine areas. Predictive modelling may be applied MSP framework to obtain spatially explicit information about biodiversity patterns. The growing number statistical approaches used for this purpose implies urgent need comparisons between different predictive techniques. In study, we evaluated performance selected machine learning and regression-based methods that were fish community indices. We...
Abstract Management strategy evaluation (MSE) is the state‐of‐the‐art approach for testing and comparing management strategies in a way that accounts multiple sources of uncertainty (e.g. monitoring, estimation, implementation). can help identify are robust to about life history target species its relationship other food web. Small pelagic fish anchovy, herring sardine) fulfil an important ecological role marine webs present challenges use MSE simulation‐based approaches. This due...
Abstract Varroa destructor is the main pest of honey bee Apis mellifera , causing colony losses. We investigated effect temperature on autumn abundance V. in colonies over 1991–2020 Central Europe. tested hypothesis that can affect mite populations with different time-lags modulating and brood availability. showed raised spring (March–May) (October) temperatures reinforce infestation colonies. The critical signals embrace periods activity, i.e., just after first cleansing flights before last...
The assignment of individual fish to its stock origin is important for reliable assessment and fisheries management. Otolith shape commonly used as the marker distinct stocks in discrimination studies. Our literature review showed that application comparison alternative statistical classifiers discriminate based on otolith limited. Therefore, we compared performance two traditional four machine learning Fourier analysis using selected Atlantic cod (Gadus morhua) southern Baltic Sea herring...
Abstract Otolith biochronologies combine growth records from individual fish to produce long-term sequences, which can help disentangle population-level responses environmental variability. This study assessed thermal plasticity of Atlantic cod ( Gadus morhua ) in Icelandic waters based on measurements otolith increments. We applied linear mixed-effects models and developed a century-long biochronology (1908–2014). demonstrated interannual cohort-specific changes the over last century were...
Abstract The distribution of a group fish and macroinvertebrates ( n = 52) resident in the US Northeast Shelf large marine ecosystem were characterized with species models (SDM), which turn used to estimate occurrence biomass center gravity (COG). SDMs fit using random forest machine learning informed range physical biological variables. estimated probability from provided weightings determine depth, distance coast, along‐shelf COG. COGs occupancy habitat tended be separated by distances...
Abstract Native to the Ponto-Caspian region, benthic round goby ( Neogobius melanostomus ) has invaded several European inland waterbodies as well North American Great Lakes and Baltic Sea. The species is capable of reaching very high densities in ecosystems, with not only evidence for significant food-web effects on native biota habitats, but also negative implications coastal fishers. Although generally considered a species, it been shown that migrate deeper areas other lakes during cold...
For several fish species, age and other important biological information is manually inferred from visual scrutinization of scales, reliable automatic methods are not widely available. Here, we apply Convolutional Neural Networks (CNN) with transfer learning on a novel dataset 9056 images Atlantic salmon scales for four different prediction tasks. We predicted origin (wild/farmed), spawning history (previous spawner/non-spawner), river age, sea age. obtained high accuracy (96.70%), (96.40%),...
Abstract Large‐scale, climate‐induced synchrony in the productivity of fish populations is becoming more pronounced world's oceans. As increases, a population's “portfolio” responses can be diminished, turn reducing its resilience to strong perturbation. Here we argue that costs and benefits trait synchronization, such as expression growth rate, are context dependent. Contrary prevailing views, among individuals could actually beneficial for if increases during favorable conditions, then...
Analysis of growth increments in the hard parts animals (e.g., fish otoliths) can be used to assess how organisms respond variability environmental conditions. In this study, mixed-effects models were applied otolith data simulated for two hypothetical populations with assumed biological parameters and known response variability. Our objective was sensitivity environment–growth relationships derived from biochronologies when challenged a range realistic ageing errors sampling regimes. We...
The isotopic composition of inorganic carbon in otoliths ( δ 13 C oto ) can be a useful tracer metabolic rates and method to study ecophysiology wild fish. We evaluated environmental physiological sources variation Icelandic Northeast Arctic (NEA) cod Gadus morhua over the years 1914–2013. Individual annual growth increments formed at age 3 8 were micromilled measured by isotope-ratio mass spectrometry. Simultaneously, all increment widths providing proxy fish somatic growth. hypothesized...
ABSTRACT Sardine ( Sardinops sagax ) in the southern Benguela has shown substantial changes population size over past 70 years. Heavy fishing pressure 1950s to early 1970s caused collapse of sardine stocks South Africa. A fishery happens because significant alterations marine community, hindering recovery valuable commercial species and leading cascading effects across multiple trophic levels food webs. In this study, a robust 58‐year biochronology (1962–2019) was developed using archived...
Abstract Species distribution models for marine organisms are increasingly used a range of applications, including spatial planning, conservation, and fisheries management. These have been constructed using variety mathematical forms drawing on both physical biological independent variables; however, what might be called first‐generation mainly followed the form linear models, or smoothing splines, informed by data collected in context fish surveys. The performance different classes...
Abstract Climate change can affect the habitat of marine species and hence their persistence adaptation. Trends in area occurrence population biomass were examined for 177 fish macroinvertebrates resident to Northeast U.S. Continental Shelf ecosystem. Samples these organisms taken during a time series research bottom trawl surveys conducted spring autumn 1976–2019. The each taxon was modeled as distribution probability based on random forest presence/absence classification model. Following,...
Abstract Human impact does not only affect the abundances of fish, but also age- and size-distributions. Indicators fish age size-structures can hence be useful tools for fisheries- environmental management. Size-based indicators have been tested proposed large, homogenous marine ecosystems with high fishing mortality, rarely fine-scaled heterogeneous in coastal zones. Here we analyse a suite size communities Baltic Sea, including mean median length, 10th 90th-percentile length distribution...
The drivers of recruitment selected Baltic sprat (Sprattus sprattus) and herring (Clupea harengus) stocks were investigated. Data on the interaction dynamics among fish species, biological characteristics stocks, biomass main predators, hydroclimatic environmental factors (Baltic Sea Index sea surface temperature) used in analysis. combination random forest (Boruta algorithm) “sliding window” approaches was tested simulated data then for selection relevant predictors optimal time window real...