Real‐time spatial management approaches to reduce bycatch and discards: experiences from Europe and the United States

Little, Alyson; Needle, Coby L.; Hilborn, Ray; Holland, Dan; Marshall, C. Tara

doi:10.1111/faf.12080

Cited by 101 publications

(74 citation statements)

References 37 publications

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“…Move-on rules are similarly triggered by a threshold, but rather than using predefined grid cells, fishermen must move a set distance away from the affected area. Move-on rules have been widely implemented with real-time closures lasting days to weeks over distances as short as 2-10 km in radius (5,10,13,14), with the potential to be implemented on temporal scales of days or hours if higher-resolution catch data are incorporated. Oceanographic closures are areas defined by environmental conditions (e.g., sea surface temperature) and have been implemented on a daily (15) and biweekly (16,17) basis.…”

Section: Scale In Fisheries Managementmentioning

confidence: 99%

“…Dynamic management reflects advancement in our ability to manage ocean resources across finer spatial and temporal scales as a result of technological improvements that have paved the way for higher-resolution collection of both fisheries and environmental data (e.g., electronic logbooks, vessel monitoring systems, smartphone technology, remote sensing, and animal tracking) (9). The existing literature has focused on the presumed capacity of dynamic management to increase management efficiency across both ecological and economic objectives (7,8), and in codifying the different approaches to dynamic management across fisheries and other applications (7,10). However, little to no empirical research exists to quantify the implied benefits of dynamic management or compare the efficiency of the various spatiotemporal management measures.…”

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confidence: 99%

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Dynamic ocean management increases the efficiency and efficacy of fisheries management

Dunn

Maxwell

Boustany

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

174

123

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In response to the inherent dynamic nature of the oceans and continuing difficulty in managing ecosystem impacts of fisheries, interest in the concept of dynamic ocean management, or realtime management of ocean resources, has accelerated in the last several years. However, scientists have yet to quantitatively assess the efficiency of dynamic management over static management. Of particular interest is how scale influences effectiveness, both in terms of how it reflects underlying ecological processes and how this relates to potential efficiency gains. Here, we address the empirical evidence gap and further the ecological theory underpinning dynamic management. We illustrate, through the simulation of closures across a range of spatiotemporal scales, that dynamic ocean management can address previously intractable problems at scales associated with coactive and social patterns (e.g., competition, predation, niche partitioning, parasitism, and social aggregations). Furthermore, it can significantly improve the efficiency of management: as the resolution of the closures used increases (i.e., as the closures become more targeted), the percentage of target catch forgone or displaced decreases, the reduction ratio (bycatch/catch) increases, and the total time-area required to achieve the desired bycatch reduction decreases. In the scenario examined, coarser scale management measures (annual time-area closures and monthly full-fishery closures) would displace up to four to five times the target catch and require 100-200 times more square kilometer-days of closure than dynamic measures (gridbased closures and move-on rules). To achieve similar reductions in juvenile bycatch, the fishery would forgo or displace between USD 15-52 million in landings using a static approach over a dynamic management approach.dynamic ocean management | real-time management | ecosystem-based fisheries management | spatiotemporal | bycatch A lthough traditional fisheries management has focused on assessing the health of individual fish stocks, there has been a strong trend over the past two decades toward the incorporation of ecosystem components into fisheries management (1, 2). Ecosystem-based fisheries management (EBFM) seeks to meet multiple, potentially conflicting goals across ecological, economic, and social objectives (3, 4). Meeting these goals is made more complex in marine ecosystems due to the inherent dynamic nature of the oceans. In response to continuing difficulty in managing the ecosystem impacts of fisheries in a highly dynamic environment, including bycatch (i.e., the accidental interaction of fishing gear with nontarget species), interest in the concept of dynamic ocean management (DOM) has accelerated (5-10). Maxwell et al. (8) define dynamic management as "management that changes in space and time in response to the shifting nature of the ocean and its users based on the integration of new biological, oceanographic, social and/or economic data in near real-time" (8). Dynamic management reflects advancement in our abi...

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Section: Scale In Fisheries Managementmentioning

confidence: 99%

mentioning

confidence: 99%

Dynamic ocean management increases the efficiency and efficacy of fisheries management

Dunn

Maxwell

Boustany

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

174

123

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“…Bering Sea Pollock fishery incentivize real-time spatial management to avoid salmon bycatch [14]. They price and thereby increase the cost of residual bycatch and hence target species cost.…”

Section: Figure 1 Herementioning

confidence: 99%

Fisheries bycatch reduction within the least-cost biodiversity mitigation hierarchy: Conservatory offsets with an application to sea turtles

Squires

Restrepo²,

Garcia³

et al. 2018

Marine Policy

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This paper considers fisheries bycatch reduction within the least-cost biodiversity impact mitigation hierarchy. It introduces conservatory offsets that are implemented earlier in the biodiversity impact mitigation hierarchy than conventional compensatory offsets used as instruments of last resort. The paper illustrates implementation in an on-going sea turtle conservation programme by the International Seafood Sustainability Foundation.

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“…In addition, conservation areas could have a temporal component, for example areas of high juvenile CPUE could be completely closed during certain times of year, while maximum landing size rules for females could remain in place at all times. This could be managed using a real-time closure system (e.g., US Pacific groundfish whiting fishery example in [59]). …”

Section: Modelling Biological and Socioeconomic Contextmentioning

confidence: 99%

Advanced Spatial Modeling to Inform Management of Data-Poor Juvenile and Adult Female Rays

Dedman

Officer

Brophy

et al. 2017

Fishes

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Abstract:Chronic overfishing has depleted numerous elasmobranch stocks in the North East Atlantic, but addressing this issue has been hampered by management complications and lacking data. Spatial management approaches have thus been advocated. This work presents a novel application and further development of an advanced spatial modeling technique to identify candidate nursery grounds and spawning areas for conservation, by subsetting already limited data. Boosted Regression Tree models are used to predict abundance of juvenile and mature female cuckoo (Leucoraja naevus), thornback (Raja clavata), blonde (Raja brachyura), and spotted (Raja montagui) rays in the Irish Sea using fish survey data and data describing fishing pressure, predation and environmental variables. Model-predicted spatial abundance maps of these subsets reveal distinct nuances in species distributions with greater predictive power than maps of the whole stock. These resulting maps are then integrated into a single easily understood map using a novel approach, standardizing and facilitating the spatial management of data-limited fish stocks.

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Real‐time spatial management approaches to reduce bycatch and discards: experiences from Europe and the United States

Cited by 101 publications

References 37 publications

Dynamic ocean management increases the efficiency and efficacy of fisheries management

Dynamic ocean management increases the efficiency and efficacy of fisheries management

Fisheries bycatch reduction within the least-cost biodiversity mitigation hierarchy: Conservatory offsets with an application to sea turtles

Advanced Spatial Modeling to Inform Management of Data-Poor Juvenile and Adult Female Rays

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