Historical development of fisheries in northern Europe—Reconstructing chronology of interactions between nature and man

Ojaveer, Henn; MacKenzie, Brian R.

doi:10.1016/j.fishres.2007.08.011

Cited by 17 publications

(12 citation statements)

References 21 publications

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“…In this context, several attempts to reconstruct historical trends of stock abundance have appeared on to the scene (see Special issue of Fisheries Research, Vol. 87/2-3 introduced by Ojaveer and MacKenzie, 2007;Eero et al, 2007 and references therein). Some of these analyses may also be important for improving our knowledge of the marine ecosystem, and are thus largely welcomed by the scientific community.…”

Section: To Have a Fling On The Lingmentioning

confidence: 98%

To have a fling on the ling

Cardinale¹,

Svedäng²

2008

Fisheries Research

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Section: To Have a Fling On The Lingmentioning

confidence: 98%

To have a fling on the ling

Cardinale¹,

Svedäng²

2008

Fisheries Research

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“…Large efforts have recently been made to compile and analyze historical trends in fish populations (cf. Ojaveer and MacKenzie 2007). The results of those studies, which are based on long time series of data, are valuable for a broader understanding of the dynamics of exploited fish populations and their relationship to the environment.…”

Section: Introductionmentioning

confidence: 99%

Fishing through time: population dynamics of plaice (Pleuronectes platessa) in the Kattegat–Skagerrak over a century

et al. 2009

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Over the past century, advances in technology and historical events such as climate change have resulted in significant changes in the exploitation pattern, population sizes and the potential yield of fish stocks. These variations provide contrast in the data that improves our knowledge on population dynamics and our ability to develop management strategies for long-term sustainable exploitation. In this study, we use a standardized scientific trawl survey to obtain a historical time series of relative abundance, recruitment and size structure for plaice in the Kattegat-Skagerrak. Our work extends the available time series by more than 80 years so that the evaluation of trends is more informative than is possible from the current assessment. We show that the current adult biomass is approximately 40% of the maximum observed at the beginning of the century and during the 1960s. The average maximum individual length has been reduced by 10 cm over the studied time period. An analysis of trends in mean length indicates that fishing mortality was variable during the first half of the century and has increased steadily over the past 20 years. Recruitment has been the highest on record during recent years, suggesting that the alleged link between coastal environmental degradation and juvenile survival is of low importance. The overall findings of our work will provide managers with a historical perspective on the population dynamics of the stock, which will support the long-term management of plaice in the Kattegat-Skagerrak.

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“…An increasing amount of historical evidence related to fish biomasses in pre-assessment periods is becoming available (Ojaveer & MacKenzie 2007, Lotze & Worm 2009). However, this information is often difficult to assimilate into complex population dynamics models to estimate quantitative biomasses (Alexander et al 2009).…”

Section: Introductionmentioning

confidence: 99%

Extending time series of fish biomasses using a simple surplus production-based approach

Eero¹,

MacKenzie²

2011

Mar. Ecol. Prog. Ser.

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Long time series of fish biomasses are needed in order to understand the changes in marine ecosystems and to set appropriate targets for their management and conservation. Fish biomasses from stock assessments usually cover only the recent 3 to 4 decades, and extending these time series using conventional data-demanding methods will, for many stocks, likely not be possible due to limited historical data. However, catch data are usually available for several decades longer than stock assessments. In the present study, we show that catch data, combined with information on average surplus production rate (SPR), of a stock could be used to derive proxies for pre-assessment biomasses. The sensitivity of biomass estimates to different SPR values was explored using data on 55 stocks from different taxa in the North Atlantic. The time series of biomasses estimated from the assessments could, for most stocks, be reconstructed by applying average stock-specific SPR values for all years, i.e. neglecting inter-annual variability in SPR. The approach of applying the information on SPR from the assessment period to pre-assessment years performed reasonably well in extending the biomass time series by 2 to 6 decades for 5 out of 6 stocks used as test cases. Density dependence and major climate variations were taken into account where such effects on SPR were expected. The main challenge for the approach appeared to be long-term changes in productivity regimes. The apparently consistent average SPR among stocks of a similar species could also facilitate use of the SPR-based approach to derive biomass estimates in contemporary data-poor situations.

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Historical development of fisheries in northern Europe—Reconstructing chronology of interactions between nature and man

Cited by 17 publications

References 21 publications

To have a fling on the ling

To have a fling on the ling

Fishing through time: population dynamics of plaice (Pleuronectes platessa) in the Kattegat–Skagerrak over a century

Extending time series of fish biomasses using a simple surplus production-based approach

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Historical development of fisheries in northern Europe—Reconstructing chronology of interactions between nature and man

Cited by 17 publications

References 21 publications

To have a fling on the ling

To have a fling on the ling

Fishing through time: population dynamics of plaice (Pleuronectes platessa) in the Kattegat–Skagerrak over a century

Extending time series of fish biomasses using a ­simple surplus production-based approach

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Extending time series of fish biomasses using a simple surplus production-based approach