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It’s Not the Destination, It’s the Journey: Multispecies Model Ensembles for Ecosystem Approaches to Fisheries Management
- Source :
- Frontiers in Marine Science, Vol 8 (2021)
- Publication Year :
- 2021
- Publisher :
- Frontiers Media S.A., 2021.
-
Abstract
- As ecosystem-based fisheries management becomes more ingrained into the way fisheries agencies do business, a need for ecosystem and multispecies models arises. Yet ecosystems are complex, and model uncertainty can be large. Model ensembles have historically been used in other disciplines to address model uncertainty. To understand the benefits and limitations of multispecies model ensembles (MMEs), cases where they have been used in the United States to address fisheries management issues are reviewed. The cases include: (1) development of ecological reference points for Atlantic Menhaden, (2) the creation of time series to relate harmful algal blooms to grouper mortality in the Gulf of Mexico, and (3) fostering understanding of the role of forage fish in the California Current. Each case study briefly reviews the management issue, the models used and model synthesis approach taken, and the outcomes and lessons learned from the application of MMEs. Major conclusions drawn from these studies highlight how the act of developing an ensemble model suite can improve the credibility of multispecies models, how qualitative synthesis of projections can advance system understanding and build confidence in the absence of quantitative treatments, and how involving a diverse set of stakeholders early is useful for ensuring the utility of the models and ensemble. Procedures for review and uptake of information from single-species stock assessment models are well established, but the absence of well-defined procedures for MMEs in many fishery management decision-making bodies poses a major obstacle. The benefits and issues identified here should help accelerate the design, implementation, and utility of MMEs in applied fisheries contexts.
- Subjects :
- 0106 biological sciences
Stock assessment
lcsh:QH1-199.5
ecosystem model
Ocean Engineering
Aquatic Science
lcsh:General. Including nature conservation, geographical distribution
Oceanography
010603 evolutionary biology
01 natural sciences
ecosystem-based management
Ecosystem model
model ensemble
Credibility
ecosystem-based fisheries management
Ecosystem
uncertainty
lcsh:Science
Water Science and Technology
Global and Planetary Change
Ensemble forecasting
business.industry
010604 marine biology & hydrobiology
Environmental resource management
Ecosystem-based management
multispecies model
Obstacle
lcsh:Q
Fisheries management
business
Subjects
Details
- Language :
- English
- ISSN :
- 22967745
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- Frontiers in Marine Science
- Accession number :
- edsair.doi.dedup.....93f0514cdb9bc78e320fa5dcf68578c3