鱼的鳃、生长和活动

IF 5.6 1区 农林科学 Q1 FISHERIES Fish and Fisheries Pub Date : 2023-05-18 DOI:10.1111/faf.12757
Jennifer S. Bigman, Nicholas C. Wegner, Nicholas K. Dulvy
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引用次数: 0

摘要

生命史理论认为,最大的体型和生长进化是为了最大限度地适应环境。相反,鳃限氧理论(GOLT)认为,鱼类和其他水生呼吸生物的生长和最大尺寸受到身体质量(鳃表面积的缩放)的限制。在这里,我们使用新的数据和一个新的系统发育贝叶斯多层建模框架,通过询问GOLT提出的关于最大尺寸、生长和鳃的三个问题来测试这一想法。在鱼类中,我们询问鳃表面积的体重比例是否解释了(1)von Bertalanffy生长系数(k)的变化超出了无症状尺寸(W∞)的解释,(2)生长性能的变化(一种整合k和W∞之间权衡的特征),以及(3)与活性相比,生长性能的更多变化(由尾鳍长径比近似)。总的来说,我们发现不同物种的最大尺寸、生长和鳃表面积之间只有微弱的关系。事实上,鳃表面积的体重比例并不能解释k(特别是对于那些达到相同W∞的物种)或生长性能的很大变化。与鳃表面积相比,活性解释了生长性能变化的三到五倍。我们的研究结果表明,在鱼类中,鳃表面积并不是解释最大尺寸和生长变化的唯一因素,其他协变量(如活动)在理解不同物种的生长、最大尺寸和其他生活史特征如何变化方面可能很重要。
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Gills, growth and activity across fishes

Life history theory suggests that maximum size and growth evolve to maximize fitness. In contrast, the Gill Oxygen Limitation Theory (GOLT) suggests that growth and maximum size in fishes and other aquatic, water-breathing organisms is constrained by the body mass-scaling of gill surface area. Here, we use new data and a novel phylogenetic Bayesian multilevel modelling framework to test this idea by asking the three questions posed by the GOLT regarding maximum size, growth and gills. Across fishes, we ask whether the body mass-scaling of gill surface area explains (1) variation in the von Bertalanffy growth coefficient (k) above and beyond that explained by asymptomatic size (W), (2) variation in growth performance (a trait that integrates the tradeoff between k and W) and (3) more variation in growth performance compared to activity (as approximated by caudal fin aspect ratio). Overall, we find that there is only a weak relationship among maximum size, growth and gill surface area across species. Indeed, the body mass-scaling of gill surface area does not explain much variation in k (especially for those species that reach the same W) or growth performance. Activity explained three to five times more variation in growth performance compared to gill surface area. Our results suggest that in fishes, gill surface area is not the only factor that explains variation in maximum size and growth, and that other covariates (e.g. activity) are likely important in understanding how growth, maximum size and other life history traits vary across species.

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来源期刊
Fish and Fisheries
Fish and Fisheries 农林科学-渔业
CiteScore
12.80
自引率
6.00%
发文量
83
期刊介绍: Fish and Fisheries adopts a broad, interdisciplinary approach to the subject of fish biology and fisheries. It draws contributions in the form of major synoptic papers and syntheses or meta-analyses that lay out new approaches, re-examine existing findings, methods or theory, and discuss papers and commentaries from diverse areas. Focal areas include fish palaeontology, molecular biology and ecology, genetics, biochemistry, physiology, ecology, behaviour, evolutionary studies, conservation, assessment, population dynamics, mathematical modelling, ecosystem analysis and the social, economic and policy aspects of fisheries where they are grounded in a scientific approach. A paper in Fish and Fisheries must draw upon all key elements of the existing literature on a topic, normally have a broad geographic and/or taxonomic scope, and provide general points which make it compelling to a wide range of readers whatever their geographical location. So, in short, we aim to publish articles that make syntheses of old or synoptic, long-term or spatially widespread data, introduce or consolidate fresh concepts or theory, or, in the Ghoti section, briefly justify preliminary, new synoptic ideas. Please note that authors of submissions not meeting this mandate will be directed to the appropriate primary literature.
期刊最新文献
The economic displacement of thousands of fishers in the Pantanal, Brazil: A telling story of small‐scale fisheries marginalization worldwide. Issue Information Pathways for integrating historical information into fisheries decision‐making Global meta‐analysis of demersal fishing impacts on organic carbon and associated biogeochemistry Leveraging ecological indicators to improve short term forecasts of fish recruitment
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