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      Understanding discarding in trawl fisheries: A model based demersal case study with implications for mitigating and assessing impacts

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          Abstract

          Despite research and public scrutiny over recent decades, discarding continues to be an issue for trawl fisheries. Previous research demonstrates that environmental, biological, operational, legislative and socioeconomic drivers affect a fisher’s decision to discard an organism. Therefore, the reduction of fishery discards requires a better understanding of fishery-specific drivers. Despite considerable research and mitigation, further work is required to reduce discarding to acceptable levels (currently ~ 50% in Australia). To better understand the drivers of discarding, this study used a modelling approach to determine environmental and operational factors that drive discarding in the New South Wales (NSW) ocean prawn trawl fishery (OPT). Further, the study investigated the relationship between the discarded number of individuals from all functional species groups (i.e. elasmobranchs, crustaceans and fish combined) and the retained catch weight. This model was also run on just fish partly due to their disproportionally high contribution to the discard assemblage (e.g. 76% of all species or higher taxon) and importance (e.g. to the ecosystem and fisheries). The results quantified relationships of environmental and operational drivers of discarding and the relationship of fish discarding and retained catch weight was found to be linear. However, the identified relationships appear complicated and, whilst an important first step, more work is required to identify all drivers influencing discarding practices. We, in combination with previous research, suggest implementation of effort quotas may be a suitable management initiative to reduce discarding and its impact; at least whilst more research is conducted to better understand this complex process. Furthering our understanding of discarding is urgent given its global impact and the rate of discarding in the OPT.

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          Re-epithelialization and immune cell behaviour in an ex vivo human skin model

          A large body of literature is available on wound healing in humans. Nonetheless, a standardized ex vivo wound model without disruption of the dermal compartment has not been put forward with compelling justification. Here, we present a novel wound model based on application of negative pressure and its effects for epidermal regeneration and immune cell behaviour. Importantly, the basement membrane remained intact after blister roof removal and keratinocytes were absent in the wounded area. Upon six days of culture, the wound was covered with one to three-cell thick K14+Ki67+ keratinocyte layers, indicating that proliferation and migration were involved in wound closure. After eight to twelve days, a multi-layered epidermis was formed expressing epidermal differentiation markers (K10, filaggrin, DSG-1, CDSN). Investigations about immune cell-specific manners revealed more T cells in the blister roof epidermis compared to normal epidermis. We identified several cell populations in blister roof epidermis and suction blister fluid that are absent in normal epidermis which correlated with their decrease in the dermis, indicating a dermal efflux upon negative pressure. Together, our model recapitulates the main features of epithelial wound regeneration, and can be applied for testing wound healing therapies and investigating underlying mechanisms.
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            A protocol for data exploration to avoid common statistical problems

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              By-Catch: Problems and Solutions

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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ValidationRole: VisualizationRole: Writing – original draft
                Role: Methodology
                Role: Methodology
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: InvestigationRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                17 February 2022
                2022
                : 17
                : 2
                : e0264055
                Affiliations
                [1 ] New South Wales Department of Primary Industries, Port Stephens Fisheries Institute, Nelson Bay, NSW, Australia
                [2 ] Institute of Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia
                [3 ] SCANDY STATISTICAL MODELLING PTY LTD, Blackmans Bay, Tasmania, Australia
                COISPA Tecnologia & Ricerca - Stazione Sperimentale per lo Studio delle Risorse del Mare, ITALY
                Author notes

                Competing Interests: We have the following interests: Author Steven Candy is the sole trader with SCANDY STATISTICAL MODELLING PTY LTD. There are no patents, products in development or marketed products to declare. This does not alter our adherence to all the PLOS ONE policies on sharing data and materials.

                Author information
                https://orcid.org/0000-0003-1493-1407
                Article
                PONE-D-20-35279
                10.1371/journal.pone.0264055
                8853496
                bf04c8b2-486e-4757-8af3-f5513191b5e6
                © 2022 Barnes et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 9 November 2020
                : 2 February 2022
                Page count
                Figures: 8, Tables: 4, Pages: 24
                Funding
                Funded by: New South Wales Commercial Fishing Trust
                Award ID: 581-1
                Award Recipient :
                Funded by: Marine Estate Management Strategy
                Award ID: 5.5
                Award Recipient :
                Funding was provided by the NSW Commercial Fishing Trust (Trust Fund Project no. 581-1 to Daniel D. Johnson) and the Marine Estate Management Strategy (Initiative 5.5 to Daniel D. Johnson). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Author Steven G. Candy is the sole trader with SCANDY STATISTICAL MODELLING PTY LTD and provided some statistical advice for a fee. This company had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Agriculture
                Aquaculture
                Fisheries
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Invertebrates
                Arthropoda
                Crustaceans
                Biology and Life Sciences
                Zoology
                Animals
                Invertebrates
                Arthropoda
                Crustaceans
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Vertebrates
                Fish
                Chondrichthyes
                Elasmobranchii
                Biology and Life Sciences
                Zoology
                Animals
                Vertebrates
                Fish
                Chondrichthyes
                Elasmobranchii
                Biology and Life Sciences
                Ecology
                Ecosystems
                Marine Ecosystems
                Ecology and Environmental Sciences
                Ecology
                Ecosystems
                Marine Ecosystems
                Earth Sciences
                Seasons
                Spring
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Vertebrates
                Fish
                Marine Fish
                Biology and Life Sciences
                Zoology
                Animals
                Vertebrates
                Fish
                Marine Fish
                Biology and Life Sciences
                Marine Biology
                Marine Fish
                Earth Sciences
                Marine and Aquatic Sciences
                Marine Biology
                Marine Fish
                Earth Sciences
                Geography
                Cartography
                Latitude
                Biology and Life Sciences
                Species Interactions
                Custom metadata
                Data cannot be shared publicly because of commercial sensitivity. Data are available from the New South Wales Department of Primary Industries. Institutional Data Access / Ethics Committee (contact via https://www.dpi.nsw.gov.au/about-us/research-development/spatial-data-portal) for researchers who meet the criteria for access to confidential data.

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                Uncategorized

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