A simple method for estimating <scp>MSY</scp> from catch and resilience

Martell, Steven J. D.; Froese, Rainer

doi:10.1111/j.1467-2979.2012.00485.x

Cited by 240 publications

(215 citation statements)

References 16 publications

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“…Currently the estimation of the fisheries reference point is limited by the availability of robust methods to estimate exploitation status globally. The search to validate and improve such methods is an ongoing effort within fisheries science, and these improvements could be incorporated as they become available (Costello et al 2012;Martell and Froese 2012;Thorson et al 2012). We also highlight the current lack of an analogous reference point to MSY for mariculture.…”

Section: Resultsmentioning

confidence: 99%

Exploring Patterns of Seafood Provision Revealed in the Global Ocean Health Index

Kleisner

Longo

Coll

et al. 2013

AMBIO

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Sustainable provision of seafood from wildcapture fisheries and mariculture is a fundamental component of healthy marine ecosystems and a major component of the Ocean Health Index. Here we critically review the food provision model of the Ocean Health Index, and explore the implications of knowledge gaps, scale of analysis, choice of reference points, measures of sustainability, and quality of input data. Global patterns for fisheries are positively related to human development and latitude, whereas patterns for mariculture are most closely associated with economic importance of seafood. Sensitivity analyses show that scores are robust to several model assumptions, but highly sensitive to choice of reference points and, for fisheries, extent of time series available to estimate landings. We show how results for sustainable seafood may be interpreted and used, and we evaluate which modifications show the greatest potential for improvements.

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Section: Resultsmentioning

confidence: 99%

Exploring Patterns of Seafood Provision Revealed in the Global Ocean Health Index

Kleisner

Longo

Coll

et al. 2013

AMBIO

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“…By explicitly modeling the dynamics for each fishery under each harvest policy, we can examine the timing of effects in detail. To do so, we estimated the intrinsic growth rate, carrying capacity, and MSY for each fishery in our dataset, using a structural data-limited assessment approach (10). This arms us with a microlevel structural bioeconomic model for all fisheries in our database.…”

Section: Significancementioning

confidence: 99%

Global fishery prospects under contrasting management regimes

Costello

Ovando

Clavelle

et al. 2016

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

543

446

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Data from 4,713 fisheries worldwide, representing 78% of global reported fish catch, are analyzed to estimate the status, trends, and benefits of alternative approaches to recovering depleted fisheries. For each fishery, we estimate current biological status and forecast the impacts of contrasting management regimes on catch, profit, and biomass of fish in the sea. We estimate unique recovery targets and trajectories for each fishery, calculate the yearby-year effects of alternative recovery approaches, and model how alternative institutional reforms affect recovery outcomes. Current status is highly heterogeneous-the median fishery is in poor health (overfished, with further overfishing occurring), although 32% of fisheries are in good biological, although not necessarily economic, condition. Our business-as-usual scenario projects further divergence and continued collapse for many of the world's fisheries. Applying sound management reforms to global fisheries in our dataset could generate annual increases exceeding 16 million metric tons (MMT) in catch, $53 billion in profit, and 619 MMT in biomass relative to business as usual. We also find that, with appropriate reforms, recovery can happen quickly, with the median fishery taking under 10 y to reach recovery targets. Our results show that commonsense reforms to fishery management would dramatically improve overall fish abundance while increasing food security and profits.fishery recovery | fishery reform | rights-based fishery management | bioeconomic model

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“…While catch C time series data are widely available, other model parameters (r, k, and B) are rather difficult to obtain. However, Martell and Froese (2013) devise a simple means of estimating equation (1) that is strictly based on catch time series data.…”

Section: Estimating Biomass Stockmentioning

confidence: 99%

“…Our main contributions are at least twofold. First, we attempt to estimate the abundance of marine fisheries by relying on a method proposed by Martell and Froese (2013). Second, we apply an economic model to assess the sustainability of global marine fisheries by examining historical relationships between global marine ecosystems and economic growth.…”

Section: Introductionmentioning

confidence: 99%

Global marine fisheries with economic growth

Sugiawan

Islam

Managi

2017

Economic Analysis and Policy

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This study explores the state of global marine fisheries and empirically analyzes its relationship to economic factors. We apply the pooled mean group estimator method to examine 70 fishing countries for the period of 1961-2010. We use both catch and the estimated size of stock as proxies for marine ecosystems. Our results confirm that economic growth initially leads to the deterioration of marine ecosystems. However, for a per capita income level of approximately 3,827USD for the catch model and of 6,066 USD for the biomass model, we found beneficial impacts of economic growth on the sustainability of marine fisheries. Over the next two decades, we expect to see a decline in catch and indications of stock recovery.

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A simple method for estimating MSY from catch and resilience

Cited by 240 publications

References 16 publications

Exploring Patterns of Seafood Provision Revealed in the Global Ocean Health Index

Exploring Patterns of Seafood Provision Revealed in the Global Ocean Health Index

Global fishery prospects under contrasting management regimes

Global marine fisheries with economic growth

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