A5051505229- Fish Ecology and Management Studies
- Marine and fisheries research
- Ichthyology and Marine Biology
- Coral and Marine Ecosystems Studies
- Water Quality Monitoring Technologies
- Identification and Quantification in Food
- Fish Biology and Ecology Studies
- Marine animal studies overview
- Marine Ecology and Invasive Species
- Advanced Neural Network Applications
- Underwater Acoustics Research
- Adipose Tissue and Metabolism
- Marine Toxins and Detection Methods
- Marine Bivalve and Aquaculture Studies
- Marine Invertebrate Physiology and Ecology
- Innovative Teaching Methods
- Oil Spill Detection and Mitigation
- Underwater Vehicles and Communication Systems
- Marine and coastal ecosystems
- Mitochondrial Function and Pathology
- Aquaculture Nutrition and Growth
- Echinoderm biology and ecology
- Parental Involvement in Education
- Neuroscience of respiration and sleep
- Domain Adaptation and Few-Shot Learning
NOAA National Marine Fisheries Service
2014-2024
NOAA National Marine Fisheries Service Southeast Fisheries Science Center
2015-2024
University of Washington
2024
National Oceanic and Atmospheric Administration
2017-2024
University of North Alabama
2019-2021
Cincinnati Zoo and Botanical Garden
2021
North Carolina State University
2020
Louisiana State University
2009-2011
Texas Tech University
2009-2010
Fish species recognition is crucial to identifying the abundance of fish in a specific area, controlling production management, and monitoring ecosystem, especially endangered species, which makes accurate essential. In this work, problem formulated as an object detection model handle multiple single image, challenging classify using simple classification network. The proposed consists MobileNetv3-large VGG16 backbone networks SSD head. Moreover, class-aware loss function solve class...
The most controversial fishery in U.S. waters of the Gulf Mexico (Gulf) is for northern red snapper Lutjanus campechanus, which collapsed late 1980s when stock biomass became too low to be fished commercially eastern Gulf. Red management began 1989; now showing signs recovery. Fishery Management Council has been slow sufficiently reduce catches directed fisheries rebuild a timely fashion, although compliance with Magnuson-Stevens Reauthorization Act 2006 (MSRA) required substantial cuts...
Abstract Campbell, M. D., Patino, R., Tolan, J., Strauss, and Diamond, S. L. 2010. Sublethal effects of catch-and-release fishing: measuring capture stress, fish impairment, predation risk using a condition index. – ICES Journal Marine Science, 67: 513–521. The sublethal simulated red snapper (Lutjanus campechanus) were analysed physiological responses, indexing, performance variables. Simulated fishing included combinations depth thermocline exposure reflective environmental conditions...
Abstract In 2011, an intensive, multiple-gear, fishery-independent survey was carried out in the northern Gulf of Mexico (GOM) to collect comprehensive age and length information on Red Snapper Lutjanus campechanus. Based this synoptic survey, we produced a spatial map relative abundance that integrates both gear selectivity effects ontogenetically varying habitat usage. Our methodology generated at 10-km2 grid resolution is consistent with existing knowledge species: occurred relatively...
The purpose of this communication is to document continued spatial expansion lionfish farther west into the northern Gulf Mexico. Furthermore, we provide first length— mass relationships and length frequency information for lionfishes captured within GOM based on data collected as part a broader on—going study life history in region.
MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout JournalEditorsTheme Sections 585:113-121 (2017) - DOI: https://doi.org/10.3354/meps12395 Baited Remote Underwater Video surveys undercount sharks at high densities: insights from full-spherical camera technologies James P. Kilfoil1,*, Aaron J. Wirsing2, Matthew D. Campbell3, Jeremy Kiszka1, Kirk R. Gastrich1, Michael Heithaus1, Yuying...
Increased necessity to monitor vital fish habitat has resulted in proliferation of camera-based observation methods and advancements camera processing technology. Automated image analysis through computer vision algorithms emerged as a tool for fisheries address big data needs, reduce human intervention, lower costs, improve timeliness. Models have been developed this study with the goal implement such automated commercially important Gulf Mexico species habitats. Further, proposes adapting...
Species recognition is an important aspect of video based surveys, which support stock assessments, inspecting the ecosystem, handling production management, and protecting endangered species. It a challenging task to implement fish species detection algorithms in underwater environments. In this work, we introduce YOLOv5 model for that can be implemented as object analyzing multiple fishes single image. Moreover, have modified depth scale different layers backbone obtain improved results on...
Fish species recognition and detection are essential for fishery industries. Accurate robust classification play a vital role in monitoring fish activities identifying the distribution of specific species, which is to know endangered species. It also controlling production overall ecosystem control management. However, current artificial intelligence technologies, such as deep learning, limited ocean system compared other areas like robotics security. The major challenge building learning...
Abstract The diversity and abundance of fish inhabiting complex reef habitats poses some challenges to surveys based on optical techniques, especially for schooling which are difficult enumerate with such methods. Acoustic often used effectively estimate the distribution but suffer from boundary effects limited species discrimination. To reconcile these drawbacks, we present an integrated acoustic–optical survey method, fishes in a subtropical habitat Shark Bay, Western Australia, exploiting...
Tracking and classifying fish in optical underwater imagery presents several challenges which are encountered less frequently terrestrial domains. Video may contain large schools comprised of many individuals, dynamic natural backgrounds, highly variable target scales, volatile collection conditions, non-fish moving confusers including debris, marine snow, other organisms. Additionally, there is a lack public datasets for algorithm evaluation available this domain. The contributions paper...
Abstract The ability of fish to submerge after discarding is often used as a proxy for survival, but this practice underestimates total discard mortality because delayed overlooked. Fishery managers need way link “sink or swim” indicators, variables observed during capture and release, with rates. We conducted cage study red snapper Lutjanus campechanus off the coast Texas estimate rates find factors that could immediate mortality. Immediate (17%) was predicted by interaction depth...
Video surveys are commonly used to monitor the abundance and distribution of managed species support management. However, considerable effort, time, cost required for human review automated fish recognition provides an effective solution remove bottleneck post-processing. Implementing detection techniques underwater imagery is a challenging task. In this work, we present Multiple Instance Active-learning Fish-species Recognition (MI-AFR), which formulated as object detection-based approach...
1 Mississippi Laboratories Southeast Fisheries Science Center National Marine Service, NOAA 3209 Frederic Street Pascagoula, 39567-4112 2 Fish and Wildlife Research Institute Florida Conservation Commission 100 Eighth Avenue SE Saint Petersburg, 33701-5020 3 Sustainable Division 75 Virginia Beach Drive Miami, 33149-1003
Abstract Objective Since 2010, three spatially disjunct reef fish video surveys have provided fishery‐independent data critical to the assessment and management of fishes in Gulf Mexico. Although analytical approaches recently been developed integrate from these into a single measure relative abundance size composition, more parsimonious approach would be survey efforts under Gulf‐wide design. Accordingly, we conducted retrospective analysis historical video‐ habitat‐mapping develop novel...
MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout JournalEditorsTheme Sections 465:185-192 (2012) - DOI: https://doi.org/10.3354/meps09901 Feeding chronology of six species carcharhinid sharks in western North Atlantic Ocean as inferred from longline capture data William B. Driggers III*, Matthew D. Campbell, Eric R. Hoffmayer, G. Walter Ingram Jr. National Fisheries Service, Southeast...
Abstract Implementation of circle hook regulations in the Gulf Mexico will impact length structure and age snapper–grouper fishery catch as well demographic data for stock assessments; therefore, an understanding selectivity patterns is critical. Indirect analysis vertical‐line Red Snapper Lutjanus campechanus Vermilion Rhomboplites aurorubens showed that both species, there were significant differences mean FL among sizes, broad frequency distributions, wide curves. Although results suggest...