An ecosystem-based risk assessment for California fisheries co-developed by scientists

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For the week of 21 January 2019

Greetings OpenChannels Community Members,

Biological Conservation has published, An ecosystem-based risk assessment for California fisheries co-developed by scientists, managers, and stakeholders, "The intensive harvest of wild populations for food can pose a risk to food security and to conservation goals. While ecosystem approaches to management offer a potential means to balance those risks, they require a method of assessment that is commensurate across multiple objectives. A major challenge is conducting these assessments in a way that considers the priorities and knowledge of stakeholders. In this study, we co-developed an ecological risk assessment (ERA) for fisheries in California (USA) with scientists, managers, and stakeholders. This ERA was intended to meet the requirements of existing policy mandates in the state of California and provide a systematic, efficient, and transparent approach to prioritize fisheries for additional management actions, including the development of fisheries management plans fully compliant with California laws. We assessed the relative risk posed to target species, bycatch, and habitats from nine state-managed fisheries and found risk to target species was not necessarily similar to risks to bycatch and habitat groups. In addition, no single fishery consistently presented the greatest risk for all bycatch or habitat groups. However, considered in combination, the greatest risk for target species, bycatch groups, and habitats emerged from two commercial fisheries for California halibut. The participatory process used to generate these results offers the potential to increase stakeholders' trust in the assessment and therefore its application in management. We suggest that adopting similar processes in other management contexts and jurisdictions will advance progress toward ecosystem-based fisheries management that simultaneously satisfies fisheries, conservation, and relationship-building objectives."

As always, if we've missed anything, please feel free to let us know. You may simply reply to this message, or you may email Allie directly at: abrown [at] openchannels.org.

You can read everything (not just the free stuff) we have found this week at https://www.openchannels.org/literature-update/2019-01-23. Additionally, you can browse literature by the week we've added it at https://www.openchannels.org/literature-by-week.

Thank you for being part of the OpenChannels Community,
– Allie Brown, Raye Evrard, and the rest of the OpenChannels Team

Climate Change, Ocean Acidification, and Ocean Warming

OA: Smith, C. J. et al. Current fossil fuel infrastructure does not yet commit us to 1.5 °C warming. Nature Communications 10, (2019).

Coastal and Offshore Energy

OA: Draycott, S. et al. Capture and simulation of the ocean environment for offshore renewable energy. Renewable and Sustainable Energy Reviews 104, 15 - 29 (2019).

Ecosystem-based Management (EBM)

OA: Samhouri, J. F. et al. An ecosystem-based risk assessment for California fisheries co-developed by scientists, managers, and stakeholders. Biological Conservation 231, 103 - 121 (2019).

Fisheries and Fisheries Management

OA: Hoos, L. A., Buckel, J. A., Boyd, J. B., Loeffler, M. S. & Lee, L. M. Fisheries management in the face of uncertainty: Designing time-area closures that are effective under multiple spatial patterns of fishing effort displacement in an estuarine gill net fishery. PLOS ONE 14, e0211103 (2019).

Recreational Fisheries

Preprint: Sbragaglia, V., Correia, R. A., Coco, S. & Arlinghaus, R. Data mining on YouTube reveals fisher group-specific harvesting patterns and social engagement in recreational anglers and spearfishers. (2019). doi:10.31230/osf.io/fd9yh

Tools and Data

OA: Gerhard, W. A. & Gunsch, C. K. Metabarcoding and machine learning analysis of environmental DNA in ballast water arriving to hub ports. Environment International 124, 312 - 319 (2019).

Preprint: Rincón, M., Corti, R., Elvarsson, B., Ramos, F. & Ruiz, J. Granger-causality analysis of integrated-model outputs, a tool to assess external drivers in fishery. (2019). doi:10.31230/osf.io/zn63y