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Journal ArticleDOI

Cube law, condition factor and weight-length relationships: history, meta-analysis and recommendations

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TLDR
A historical review, a meta-analysis, and recommendations for users about weight–length relationships, condition factors and relative weight equations are presented, indicating a tendency towards slightly positive-allometric growth (increase in relative body thickness or plumpness) in most fishes.
Abstract
Summary This study presents a historical review, a meta-analysis, and recommendations for users about weight–length relationships, condition factors and relative weight equations. The historical review traces the developments of the respective concepts. The meta-analysis explores 3929 weight–length relationships of the type W ¼ aL b for 1773 species of fishes. It shows that 82% of the variance in a plot of log a over b can be explained by allometric versus isometric growth patterns and by different body shapes of the respective species. Across species median b ¼ 3.03 is significantly larger than 3.0, thus indicating a tendency towards slightly positive-allometric growth (increase in relative body thickness or plumpness) in most fishes. The expected range of 2.5 < b < 3.5 is confirmed. Mean estimates of b outside this range are often based on only one or two weight–length relationships per species. However, true cases of strong allometric growth do exist and three examples are given. Within species, a plot of log a vs b can be used to detect outliers in weight–length relationships. An equation to calculate mean condition factors from weight–length relationships is given as Kmean ¼ 100aL b)3 . Relative weight Wrm ¼ 100W/ (amL b m ) can be used for comparing the condition of individuals across populations, where am is the geometric mean of a and bm is the mean of b across all available weight–length relationships for a given species. Twelve recommendations for proper use and presentation of weight–length relationships, condition factors and relative weight are given.

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Journal ArticleDOI

A Bayesian approach for estimating length-weight relationships in fishes

TL;DR: A Bayesian hierarchical approach is presented for the estimation of length-weight relationships (LWR) in fishes and estimates are provided for the LWR parameters a and b in general as well as by body shape.
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Editorial note on weight–length relations of fishes

TL;DR: Weight-length relations of fishes are useful for estimation of biomass from length observations, e.g., infisheries or conservation research.
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Mapping the global potential for marine aquaculture

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Sound physiological knowledge and principles in modeling shrinking of fishes under climate change

TL;DR: Here, it is re-asserted, with the Gill-Oxygen Limitation Theory (GOLT), that gills, which must retain the properties of open surfaces because their growth, even while hyperallometric, cannot keep up with the demand of growing three-dimensional bodies.
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Ingestion of microplastics and natural fibres in Sardina pilchardus (Walbaum, 1792) and Engraulis encrasicolus (Linnaeus, 1758) along the Spanish Mediterranean coast.

TL;DR: Results from this study show that both microplastics and natural fibres of anthropogenic origin are common throughout the pelagic environment along the Spanish Mediterranean coast.
References
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TL;DR: Pitcher and Pauly as mentioned in this paper used a simple theory of fishing, illustrated by analysis of a trawl factoy, to give the annual yield in weight from a fishery in a steady state.
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TL;DR: In this paper, the role of stock assessment in fisheries management is discussed and a stock assessment and management work is performed in order to estimate the stock of fishes in a fishery.