Literature DB >> 26559778

A trait-based metric sheds new light on the nature of the body size-depth relationship in the deep sea.

Beth L Mindel1, Thomas J Webb1, Francis C Neat2, Julia L Blanchard3.   

Abstract

Variation within species is an often-overlooked aspect of community ecology, despite the fact that the ontogenetic structure of populations influences processes right up to the ecosystem level. Accounting for traits at the individual level is an important advance in the implementation of trait-based approaches in understanding community structure and function. We incorporate individual- and species-level traits into one succinct assemblage structure metric, fractional size, which is calculated as the length of an individual divided by its potential maximum length. We test the implementation of fractional size in demersal fish assemblages along a depth gradient in the deep sea. We use data from an extensive trawl survey at depths of 300-2030 m on the continental slope of the Rockall Trough, Northeast Atlantic, to compare changes in fractional size structure along an environmental gradient to those seen using traditional taxonomic and trait-based approaches. The relationship between fractional size and depth was particularly strong, with the overall pattern being an increase with depth, implying that individuals move deeper as they grow. Body size increased with depth at the intraspecific and assemblage levels. Fractional size, size structure and species composition all varied among assemblages, and this variation could be explained by the depth that the assemblage occupied. The inclusion of individual-level traits and population fractional size structure adds to our understanding at the assemblage level. Fractional size, or where an individual is in its growth trajectory, appears to be an especially important driver of assemblage change with depth. This has implications for understanding fisheries impacts in the deep sea and how these impacts may propagate across depths.
© 2015 The Authors. Journal of Animal Ecology © 2015 British Ecological Society.

Entities:  

Keywords:  FishBase; Lmax; Redundancy Analysis; bathymetry; deepwater fish; functional role; ontogeny; trait-based analysis

Mesh:

Year:  2016        PMID: 26559778     DOI: 10.1111/1365-2656.12471

Source DB:  PubMed          Journal:  J Anim Ecol        ISSN: 0021-8790            Impact factor:   5.091


  5 in total

1.  An investigation of bubble resonance and its implications for sound production by deep-water fishes.

Authors:  Mark W Sprague; Michael L Fine; Timothy M Cameron
Journal:  PLoS One       Date:  2022-07-12       Impact factor: 3.752

2.  Linking dimensions of data on global marine animal diversity.

Authors:  Thomas J Webb; Bart Vanhoorne
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-11-02       Impact factor: 6.237

3.  Discovery of a colossal slickhead (Alepocephaliformes: Alepocephalidae): an active-swimming top predator in the deep waters of Suruga Bay, Japan.

Authors:  Yoshihiro Fujiwara; Masaru Kawato; Jan Yde Poulsen; Hitoshi Ida; Yoshito Chikaraishi; Naohiko Ohkouchi; Kazumasa Oguri; Shinpei Gotoh; Genki Ozawa; Sho Tanaka; Masaki Miya; Tetsuya Sado; Katsunori Kimoto; Takashi Toyofuku; Shinji Tsuchida
Journal:  Sci Rep       Date:  2021-01-25       Impact factor: 4.379

4.  Functional, size and taxonomic diversity of fish along a depth gradient in the deep sea.

Authors:  Beth L Mindel; Francis C Neat; Clive N Trueman; Thomas J Webb; Julia L Blanchard
Journal:  PeerJ       Date:  2016-09-15       Impact factor: 2.984

5.  Bathyal and abyssal demersal bait-attending fauna of the Eastern Mediterranean Sea.

Authors:  Thomas D Linley; Jessica Craig; Alan J Jamieson; Imants G Priede
Journal:  Mar Biol       Date:  2018-09-21       Impact factor: 2.573

  5 in total

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