A5000306173- Marine and fisheries research
- Fish Ecology and Management Studies
- Marine Bivalve and Aquaculture Studies
- Isotope Analysis in Ecology
- Oceanographic and Atmospheric Processes
- Marine animal studies overview
- Arctic and Antarctic ice dynamics
- Food Industry and Aquatic Biology
- Species Distribution and Climate Change
- Wildlife Ecology and Conservation
- Marine Biology and Ecology Research
- Marine and coastal plant biology
- Crustacean biology and ecology
- Coral and Marine Ecosystems Studies
- Environmental DNA in Biodiversity Studies
- Delphi Technique in Research
- Methane Hydrates and Related Phenomena
- Identification and Quantification in Food
- Surface Roughness and Optical Measurements
- Plant Growth Enhancement Techniques
- Data Quality and Management
- Agriculture and Biological Studies
- Genetic and phenotypic traits in livestock
- Underwater Acoustics Research
- Genetic diversity and population structure
NOAA National Marine Fisheries Service
2015-2024
NOAA National Marine Fisheries Service Alaska Fisheries Science Center
2015-2024
National Oceanic and Atmospheric Administration
2005-2023
University of Washington
2012-2015
Species distribution models (SDMs) are a common approach to describing species’ space‐use and spatially‐explicit abundance. With myriad of model types, methods parameterization options available, it is challenging make informed decisions about how build robust SDMs appropriate for given purpose. One key component SDM development the covariates, such as inclusion covariates that reflect underlying processes (e.g. abiotic biotic covariates) act proxies unobserved space time covariates). It...
Abstract Research has estimated associations between water temperature and the spatial distribution of marine fishes based upon correlations centroid fish (centre gravity, COG ). Analysts have then projected future temperatures to forecast shifts in , but often neglected demonstrate that explains a substantial portion historical shifts. We argue estimating proportion observed distributional can be attributed vs. other factors is critical first step forecasting changes. illustrate this...
Abstract Shifts in the distribution of groundfish species as oceans warm can complicate management efforts if distributions expand beyond extent existing scientific surveys, changing proportion available to any one survey each year. We developed first-ever model-based biomass estimates for three Bering Sea groundfishes (walleye pollock (Gadus chalcogrammus), Pacific cod macrocephalus), and Alaska plaice (Pleuronectes quadrituberculatus)) by combining fishery-independent bottom trawl data...
Abstract The northern Bering Sea is transitioning from an Arctic to subarctic fish community as climate warms. Scientists and managers aim understand how these changing conditions are influencing biomass spatial distribution in this region, both used inform stock assessments fisheries management advice. Here, we use a spatio‐temporal model for walleye pollock ( Gadus chalcogrammus ) provide two inputs its assessment model: (a) alternative model‐based index (b) age compositions. Both were...
FISHGLOB brings together experts in, and users of, fish monitoring data to support biodiversity research conservation across oceans.
Abstract Abundances of semi-pelagic fish are often estimated using acoustic or bottom trawl surveys, both which sample only a fraction the water column. Acoustic instruments effective at sampling majority column, but they have near-surface blind zone and near-bottom dead (ADZ), where remain undetected. Bottom trawls near seabed, miss that located above fishing height trawl. Quantification extent overlap between these gears is needed, particularly in cases environmental factors play role. We...
An abundance of studies in marine systems have documented species range shifts response to climate change, and many more used distribution models project ranges under future conditions. However, there is increasing interest moving beyond a single‐species focus understand how redistribution alters ecosystem dynamics via changes trophic interactions. We employed spatiotemporal characterize decadal‐scale spatial overlap between the juvenile walleye pollock Gadus chalcogrammus distributions four...
Quantitative assessment of semidemersal fish such as walleye pollock ( Theragra chalcogramma ) is difficult because the proportion available to standardized surveys varies temporally and spatially. The US National Marine Fisheries Service’s Alaska Science Center conducts bottom trawl (BT) estimate demersal portion population acoustic (AT) pelagic portion. Both are conducted during daylight hours minimize variability due diel changes in vertical distribution. To test if daytime near-bottom...
We present a modeling method that combines acoustic and bottom trawl abundance measurements habitat data to estimate dead zone (ADZ) correction efficiency parameters. Bottom of walleye pollock (Theragra chalcogramma) available from the eastern Bering Sea are used illustrate this method. Our results show predictions fish in ADZ can be improved by incorporating features such as depth sediment particle size, well pelagic water temperature, light level, current velocity. also obtain for...
Abstract Indices of abundance are important for estimating population trends in stock assessment and ideally should be based on fishery-independent surveys to avoid problems associated with the hyperstability commercial catch per unit effort (cpue) data. However, recent studies indicate that efficiency survey bottom trawl (BT) some species can density-dependent, which could affect reliability survey-derived indices abundance. A function qe∼f(u), where qe is BT u rate, was derived using...
Abstract Accounting for variation in prey mortality and predator metabolic potential arising from spatial consumption is an important task ecology resource management. However, there no statistical method processing stomach content data that accounts fine‐scale spatio‐temporal structure while expanding individual samples to population‐level estimates of predation. Therefore, we developed approach fits a model both prey‐biomass‐per‐predator‐biomass (i.e. the ratio biomass stomachs weight)...
MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout JournalEditorsTheme Sections 503:111-122 (2014) - DOI: https://doi.org/10.3354/meps10736 The spatial distribution of euphausiids and walleye pollock in eastern Bering Sea does not imply top-down control by predation Patrick H. Ressler*, Alex De Robertis, Stan Kotwicki NOAA, National Fisheries Service, Alaska Science Center, 7600 Sand...
Abstract Abundance indices from scientific surveys are key stock assessment inputs, but when the availability of fish varies in space and time, estimated associated uncertainties do not accurately reflect changes population abundance. For example, for many semi-pelagic species rely on acoustic bottom trawl gear that differ water column coverage, so spatiotemporal trends vertical distribution affect to each type. The gears together cover whole column, principle allow estimation more accurate,...
The diel vertical migration (DVM) of Pacific cod Gadus macrocephalus was examined using depth and temperature data from 250 recaptured archival tags deployed on G. in the eastern Bering Sea Gulf Alaska near Kodiak Island. DVM two types, deeper during daytime (type I) night-time II), occurred frequently (15-40% all days) released at sites. Most individuals displayed both with each type behaviour lasting up to 58 contiguous days, day night differences averaging c. 8 m. Despite high...