In search of thresholds for recruitment overfishing

Myers, Ransom A.; Rosenberg, Andrew A.; Mace, Pamela M.; Barrowman, Nicholas J.; Restrepo, Victor

doi:10.1006/jmsc.1994.1020

Cited by 141 publications

(127 citation statements)

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“…When considering any form of prediction, it is useful to have a baseline prediction model against which to compare other models: only in cases where the proposed prediction scheme can be shown to outperform the baseline case should the newer scheme be considered. A common basis for predicting and projecting recruitment to a fish-stock is using a relationship between the spawning stock biomass (SSB) and recruitment (Myers et al 1994). Such a model has the advantage that it includes mechanistic understanding (SSB can be interpreted as a proxy of stock reproductive potential), and if sufficiently strong, can be propagated many years into the future.…”

Section: Potential For Predictionmentioning

confidence: 99%

The rise and fall of the NE Atlantic blue whiting (Micromesistius poutassou)

Payne

Egan

Fässler

et al. 2012

Marine Biology Research

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Abstract:The Northeast Atlantic blue whiting (Micromesistius poutassou) stock has undergone striking changes in abundance in the last 15 years. The stock increased dramatically in the late 1990s due to a succession of eight unusually strong year classes and dropped again equally dramatically after 2005 when the recruitment collapsed to former levels. The North Atlantic subpolar gyre has previously been shown to have a strong influence on the behaviour of this stock: synchronous changes in the gyre and recruitment suggest a causal linkage and the possibility of forecasting recruitment. A range of mechanisms are reviewed that may explain these observed changes, with two major candidate hypotheses being identified. One hypothesis suggests that the large mackerel (Scomber scombrus) stock in this region may feed on the pre-recruits of blue whiting, with the spatial overlap between blue whiting and mackerel being regulated by the subpolar gyre. Alternatively, variations in the physical environment may have given rise to changes in the amount, type and availability of food for larvae and juveniles, impacting their growth and survival and therefore recruitment. It was not possible to draw firm conclusions about the validity of either of these hypotheses: nevertheless, forecasting recruitment to this stock may be possible in the future if the underlying mechanisms can be resolved.

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Section: Potential For Predictionmentioning

confidence: 99%

The rise and fall of the NE Atlantic blue whiting (Micromesistius poutassou)

Payne

Egan

Fässler

et al. 2012

Marine Biology Research

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“…Determining reference points is considered one of the most important tasks in fisheries resource management, and they have been broadly used not only by many international organizations but also in many domestic management procedures [1] [2] [3] [4]. Sainsbury [2] reviewed the reference points that have been used in a wide range of fisheries, and noted that two types of reference points are in common use: (1) fishing mortality-based reference points, and (2) biomass-based reference points.…”

Section: Introductionmentioning

confidence: 99%

“…This database is extremely useful for analyzing many kinds of stocks that are broadly distributed all over the world. Further, Myers et al [19] discussed the reference points used to analyze 72 stocks, and they considered three classes of thresholds defined by: (1) the stock size corresponding to 50% of the maximum predicted average R; (2) the minimum stock size that would produce a good year class when environmental conditions are favorable; (3) the stock size corresponding to 20% of various estimators of virgin stock size.…”

Section: Introductionmentioning

confidence: 99%

“…The report by Myers et al [19] has been cited as the definitive paper report supporting 20% B 0 as a threshold for overfishing. However, Hilborn and Stokes [20] emphasized that, although fisheries management organizations have often cited Myers et al [19] as supporting 20% B 0 as a threshold for overfishing, this is a serious misinterpretation of the results of that paper.…”

Section: Introductionmentioning

confidence: 99%

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Are 20% B0, 20% Bunfished, and BMSY Valid as Reference Points for Fisheries Resource Management?

Sakuramoto¹

2017

OALib

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The aim of this paper is to discuss the validity of 20% B 0 , 20% B unfished and B MSY as reference points for managing fisheries resources. I reanalyzed eight stock-recruitment relationship (SRR) sets of data that were analyzed by Myers et al. in 1994, and showed that the theory proposed by Sakuramoto could be applied to the above SRR data. The results showed that: 1) clockwise loops or anti-clockwise loops emerged in the plots of SRR, and the results coincided well with those of 25 stocks that lived around Japan and the stock of Pacific bluefin tuna; 2) the slopes of the regression lines (b) drawn on SRR planes for above 34 stocks had a negative relationship with the age-at-maturity (m). That is, b = 0.995 -0.211•m. Therefore, the results of this paper indicate that the SRR is governed by a mechanism that is quite different from that which has been traditionally accepted, and in which the main factor is believed to be a density-dependent effect. The results also indicated that 20% B 0 , 20% B unfished and B MSY , which are derived from traditional SRR models, do not have any scientific basis as reference points for managing fisheries resources. Empirical reference points seem to be more reasonable measures as Hilborn and Stokes emphasized in 2010.

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“…This yielded insights regarding the circumstances under which incorporating such information can alter a common BRP used to forecast impaired recruitment (i.e. the adult stock size required to produce 50% of maximum recruitment [30]). …”

Section: Introductionmentioning

confidence: 99%

Fluctuations in food supply drive recruitment variation in a marine fish

et al. 2012

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Reproductive rates and survival of young in animal populations figure centrally in generating management and conservation strategies. Model systems suggest that food supply can drive these often highly variable properties, yet for many wild species, quantifying such effects and assessing their implications have been challenging. We used spatially explicit time series of a well-studied marine reef fish (black surfperch Embiotoca jacksoni ) and its known prey resources to evaluate the extent to which fluctuations in food supply influenced production of young by adults and survival of young to subadulthood. Our analyses reveal: (i) variable food available to both adults and to their offspring directly produced an order of magnitude variation in the number of young-of-year (YOY) produced per adult and (ii) food available to YOY produced a similar magnitude of variation in their subsequent survival. We also show that such large natural variation in vital rates can significantly alter decision thresholds (biological reference points) important for precautionary management. These findings reveal how knowledge of food resources can improve understanding of population dynamics and reduce risk of overharvest by more accurately identifying periods of low recruitment.

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In search of thresholds for recruitment overfishing

Cited by 141 publications

References 0 publications

The rise and fall of the NE Atlantic blue whiting (Micromesistius poutassou)

The rise and fall of the NE Atlantic blue whiting (Micromesistius poutassou)

Are 20% B0, 20% Bunfished, and BMSY Valid as Reference Points for Fisheries Resource Management?

Fluctuations in food supply drive recruitment variation in a marine fish

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