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Comprehensive bycatch assessment in US fisheries for prioritizing management

  • 1.

    Food and Agriculture Organization. The State of World Fisheries and Aquaculture 2018 – Meeting the Sustainable Development Goals (FAO, 2018).

  • 2.

    Benaka, L. R., Bullock, D., Hoover, A. L. & Olsen, N. A. (eds) US National Bycatch Report First Edition Update 3 (US Department of Commerce, NOAA, 2019).

  • 3.

    Davies, R. W. D., Cripps, S. J., Nickson, A. & Porter, G. Defining and estimating global marine fisheries bycatch. Mar. Policy 33, 661–672 (2009).

    • Article
    • Google Scholar
  • 4.

    Pérez-Roda, M. et al. A Third Assessment of Global Marine Fisheries Discards No. 633 (FAO, 2019).

  • 5.

    Gilman, E. L. Bycatch governance and best practice mitigation technology in global tuna fisheries. Mar. Policy 35, 590–609 (2011).

    • Article
    • Google Scholar
  • 6.

    Gilman, E. et al. Robbing Peter to pay Paul: replacing unintended cross-taxa conflicts with intentional tradeoffs by moving from piecemeal to integrated fisheries bycatch management. Rev. Fish. Biol. Fish. 29, 93–123 (2019).

    • Article
    • Google Scholar
  • 7.

    Wilcox, C. & Donlon, C. D. Compensatory mitigation as a solution to fisheries bycatch–biodiversity conservation conflicts. Front. Ecol. Environ. 5, 325–331 (2007).

    • Article
    • Google Scholar
  • 8.

    Lewison, R. L., Crowder, L. B., Read, A. J. & Freeman, S. A. Understanding impacts of fisheries bycatch on marine megafauna. Trends Ecol. Evol. 19, 598–604 (2004).

    • Article
    • Google Scholar
  • 9.

    Lewison, R. L. et al. Global patterns of marine mammal, seabird, and sea turtle bycatch reveal taxa-specific and cumulative megafauna hotspots. Proc. Natl Acad. Sci. USA 111, 5271–5276 (2014).

  • 10.

    Little, A. S., Needle, C. L., Hilborn, R., Holland, D. S. & Marshall, C. T. Real-time spatial management approaches to reduce bycatch and discards: experiences from Europe and the United States. Fish. Fish. 16, 576–602 (2015).

    • Article
    • Google Scholar
  • 11.

    Senko, J., White, E. R., Heppell, S. S. & Gerber, L. R. Comparing bycatch mitigation strategies for vulnerable marine megafauna. Anim. Conserv. 17, 5–18 (2014).

    • Article
    • Google Scholar
  • 12.

    Eguchi, T., Benson, S. R., Foley, D. G. & Forney, K. A. Predicting overlap between drift gillnet fishing and leatherback turtle habitat in the California current ecosystem. Fish. Oceanogr. 26, 17–33 (2017).

    • Article
    • Google Scholar
  • 13.

    Swimmer, Y. et al. Food color and marine turtle feeding behavior: can blue bait reduce turtle bycatch in commercial fisheries? Mar. Ecol. Prog. Ser. 295, 273–278 (2005).

    • Article
    • Google Scholar
  • 14.

    Shiode, D., Hu, F., Shiga, M., Yokota, K. & Tokai, T. Midwater float system for standardizing hook depths on tuna longlines to reduce sea turtle by-catch. Fish. Sci. 71, 1182–1184 (2005).

  • 15.

    Pierre, J. P. & Norden, W. S. Reducing seabird bycatch in longline fisheries using a natural olfactory deterrent. Biol. Conserv. 130, 406–415 (2006).

    • Article
    • Google Scholar
  • 16.

    Swimmer, Y. et al. Sea turtle bycatch mitigation in US longline fisheries. Front. Mar. Sci. 4, 260 (2017).

    • Article
    • Google Scholar
  • 17.

    Melvin, E. F., Guy, T. J. & Read, L. B. Best practice seabird bycatch mitigation for pelagic longline fisheries targeting tuna and related species. Fish. Res. 149, 5–18 (2014).

    • Article
    • Google Scholar
  • 18.

    Alessandro, L. & Antonello, S. An overview of loggerhead sea turtle (Caretta caretta) bycatch and technical mitigation measures in the Mediterranean Sea. Rev. Fish. Biol. Fish. 20, 141–161 (2010).

    • Article
    • Google Scholar
  • 19.

    Barlow, J. & Cameron, G. A. Field experiments show that acoustic pingers reduce marine mammal bycatch in the California drift gill net fishery. Mar. Mammal. Sci. 19, 265–283 (2003).

    • Article
    • Google Scholar
  • 20.

    Carretta, J. V., Barlow, J. & Enriquez, L. Acoustic pingers eliminate beaked whale bycatch in a gill net fishery. Mar. Mammal. Sci. 24, 956–961 (2008).

    • Google Scholar
  • 21.

    Hobday, A. J., Hartog, J. R., Spillman, C. M. & Alves, O. Seasonal forecasting of tuna habitat for dynamic spatial management. Can. J. Fish. Aquat. Sci. 68, 898–911 (2011).

    • Article
    • Google Scholar
  • 22.

    Turner, S. M. et al. Cooperative research to evaluate an incidental catch distribution forecast. Front. Mar. Sci. 4, 116 (2017).

    • Article
    • Google Scholar
  • 23.

    Hazen, E. L. et al. A dynamic ocean management tool to reduce bycatch and support sustainable fisheries. Sci. Adv. 4, eaar3001 (2018).

    • Article
    • Google Scholar
  • 24.

    Gilman, E., Passfield, K. & Nakamura, K. Performance of regional fisheries management organizations: ecosystem-based governance of bycatch and discards. Fish. Fish. 15, 327–351 (2014).

    • Article
    • Google Scholar
  • 25.

    Halpern, B. S. et al. Spatial and temporal changes in cumulative human impacts on the world’s ocean. Nat. Commun. 6, 7615 (2015).

  • 26.

    Di Minin, E. et al. Identifying global centers of unsustainable commercial harvesting of species. Sci. Adv. 5, eaau2879 (2019).

    • Article
    • Google Scholar
  • 27.

    Harrington, J. M., Myers, R. A. & Rosenberg, A. A. Wasted Resources: Bycatch and discards in US Fisheries (Oceana, 2005).

  • 28.

    Brooke, S. G., Desfosse, L. L. & Karp, W. A. Estimating overall fish bycatch in US commercial fisheries. Mar. Fish. Rev. 74, 1–5 (2012).

    • Google Scholar
  • 29.

    NOAA/NMFS. Fishery stock status updates. NOAA Fisheries https://go.nature.com/38ZtTIl (2019).

  • 30.

    Dulvy, N. K. et al. Extinction risk and conservation of the world’s sharks and rays. eLife 3, e00590 (2014).

    • Article
    • Google Scholar
  • 31.

    Cassoff, R. M. et al. Lethal entanglement in baleen whales. Dis. Aquat. Organ 96, 175–185 (2011).

    • Article
    • Google Scholar
  • 32.

    Wallace, B. P. et al. Global patterns of marine turtle bycatch. Conserv. Lett. 3, 131–142 (2010).

    • Article
    • Google Scholar
  • 33.

    Stock Assessment and Fishery Evaluation (SAFE) Report for Atlantic Highly Migratory Species (NOAA/NMFS, 2019).

  • 34.

    Wallace, B. P., Heppell, S. S., Lewison, R. L., Kelez, S. & Crowder, L. B. Impacts of fisheries bycatch on loggerhead turtles worldwide inferred from reproductive value analyses. J. Appl. Ecol. 45, 1076–1085 (2008).

    • Google Scholar
  • 35.

    Bolten, A. B. et al. Quantifying multiple threats to endangered species: an example from loggerhead sea turtles. Front. Ecol. Environ. 9, 295–301 (2011).

    • Article
    • Google Scholar
  • 36.

    Casale, P. & Heppell, S. S. How much sea turtle bycatch is too much? A stationary age distribution model for simulating population abundance and potential biological removal in the Mediterranean. Endanger. Species Res. 29, 239–254 (2016).

    • Article
    • Google Scholar
  • 37.

    Melvin, E. F., Dietrich, K. S., Suryan, R. M. & Fitzgerald, S. M. Lessons from seabird conservation in Alaskan longline fisheries. Conserv. Biol. 33, 842–852 (2019).

    • Article
    • Google Scholar
  • 38.

    Read, A. J., Drinker, P. & Northridge, S. Bycatch of marine mammals in US and global fisheries. Conserv. Biol. 20, 163–169 (2006).

    • Article
    • Google Scholar
  • 39.

    McDonald, S. L., Lewison, R. L. & Read, A. J. Evaluating the efficacy of environmental legislation: a case study from the US marine mammal take reduction planning process. Glob. Ecol. Conserv. 5, 1–11 (2016).

    • Article
    • Google Scholar
  • 40.

    Hayes, S. A., Gardner, S., Garrison, L., Henry, A. & Leandro, L. North Atlantic Right Whales – Evaluating Their Recovery Challenges in 2018 (NOAA, 2018).

  • 41.

    Lebon, K. M. & Kelly, R. P. Evaluating alternatives to reduce whale entanglements in commercial Dungeness crab fishing gear. Glob. Ecol. Conserv. 18, e00608 (2019).

    • Article
    • Google Scholar
  • 42.

    Costello, C. et al. Global fishery prospects under contrasting management regimes. Proc. Natl Acad. Sci. USA 113, 5125–5129 (2016).

  • 43.

    North Pacific Fishery Management Council Pollock Conservation Cooperative and High Seas Catchers’ Cooperative Joint Annual Report 2018 (NPFMC, 2019).

  • 44.

    Lewison, R. et al. Dynamic ocean management: identifying the critical ingredients of dynamic approaches to ocean resource management. Bioscience 65, 486–498 (2015).

    • Article
    • Google Scholar
  • 45.

    National Oceanic and Atmospheric Administration. Fish and fish product import provisions of the Marine Mammal Protection Act. Fed. Register 81, 1–31 (2016).

    • Google Scholar
  • 46.

    Rausser, G., Hamilton, S., Kovach, M. & Stifter, R. Unintended consequences: the spillover effects of common property regulations. Mar. Policy 33, 24–39 (2009).

    • Article
    • Google Scholar
  • 47.

    Zeller, D., Cashion, T., Palomares, M. & Pauly, D. Global marine fisheries discards: a synthesis of reconstructed data. Fish. Fish. 19, 30–39 (2018).

    • Article
    • Google Scholar
  • 48.

    Burgess, M. G., Polasky, S. & Tilman, D. Predicting overfishing and extinction threats in multispecies fisheries. Proc. Natl Acad. Sci. USA 110, 15943–15948 (2013).

  • 49.

    Burgess, M. G. et al. Protecting marine mammals, turtles, and birds by rebuilding global fisheries. Science 359, 1255–1258 (2018).

  • 50.

    Howell, E. A., Kobayashi, D. R., Parker, D. M., Balazs, G. H. & Polovina, J. J. TurtleWatch: a tool to aid in the bycatch reduction of loggerhead turtles Caretta caretta in the Hawaii-based pelagic longline fishery. Endanger. Species Res. 5, 267–278 (2008).

    • Article
    • Google Scholar
  • 51.

    Wickham, H. Tidy data. J. Stat. Softw. 59, 1–23 (2014).

    • Article
    • Google Scholar
  • 52.

    Evaluating Bycatch: A National Approach to Standardized Bycatch Monitoring Programs (NOAA/NMFS, 2004).

  • 53.

    Desfosse, L. L., Karp, W. A. & Brooke, S. G. Evaluating the quality of bycatch data and bycatch estimates among disparate fisheries. Mar. Fish. Rev. 74, 6–13 (2012).

    • Google Scholar
  • 54.

    Vanderwal, J., Falconi, L., Januchowski, S., Shoo, L. & Storlie, C. SDMTools. Species distribution modelling tools: tools for processing data associated with species distribution modelling exercises (CRAN, 2014); http://www.rforge.net/SDMTools/

  • 55.

    Brodie, S. et al. Improving consumption rate estimates by incorporating wild activity into a bioenergetics model. Ecol. Evol. 6, 2262–2274 (2016).

    • Article
    • Google Scholar
  • 56.

    Murphy, W. & Rowlingson, B. Fiftystater: map data to visualize the fifty US states with Alaska and Hawaii insets (CRAN, 2016); https://github.com/wmurphyrd/fiftystater


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