High functional diversity in deep-sea fish communities and increasing intraspecific trait variation with increasing latitude.

biodiversity biotic interactions deep‐sea fishes depth gradient environmental filtering functional trait morphology niche partitioning

Journal

Ecology and evolution
ISSN: 2045-7758
Titre abrégé: Ecol Evol
Pays: England
ID NLM: 101566408

Informations de publication

Date de publication:
Aug 2021
Historique:
received: 24 10 2019
revised: 24 04 2021
accepted: 21 05 2021
entrez: 9 8 2021
pubmed: 10 8 2021
medline: 10 8 2021
Statut: epublish

Résumé

Variation in both inter- and intraspecific traits affects community dynamics, yet we know little regarding the relative importance of external environmental filters versus internal biotic interactions that shape the functional space of communities along broad-scale environmental gradients, such as latitude, elevation, or depth. We examined changes in several key aspects of functional alpha diversity for marine fishes along depth and latitude gradients by quantifying intra- and interspecific richness, dispersion, and regularity in functional trait space. We derived eight functional traits related to food acquisition and locomotion and calculated seven complementary indices of functional diversity for 144 species of marine ray-finned fishes along large-scale depth (50-1200 m) and latitudinal gradients (29°-51° S) in New Zealand waters. Traits were derived from morphological measurements taken directly from footage obtained using Baited Remote Underwater Stereo-Video systems and museum specimens. We partitioned functional variation into intra- and interspecific components for the first time using a PERMANOVA approach. We also implemented two tree-based diversity metrics in a functional distance-based context for the first time: namely, the variance in pairwise functional distance and the variance in nearest neighbor distance. Functional alpha diversity increased with increasing depth and decreased with increasing latitude. More specifically, the dispersion and mean nearest neighbor distances among species in trait space and intraspecific trait variability all increased with depth, whereas functional hypervolume (richness) was stable across depth. In contrast, functional hypervolume, dispersion, and regularity indices all decreased with increasing latitude; however, intraspecific trait variation increased with latitude, suggesting that intraspecific trait variability becomes increasingly important at higher latitudes. These results suggest that competition within and among species are key processes shaping functional multidimensional space for fishes in the deep sea. Increasing morphological dissimilarity with increasing depth may facilitate niche partitioning to promote coexistence, whereas abiotic filtering may be the dominant process structuring communities with increasing latitude.

Identifiants

pubmed: 34367600
doi: 10.1002/ece3.7871
pii: ECE37871
pmc: PMC8328419
doi:

Banques de données

Dryad
['10.5061/dryad.xgxd254gt']

Types de publication

Journal Article

Langues

eng

Pagination

10600-10612

Informations de copyright

© 2021 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

Déclaration de conflit d'intérêts

The authors declare the absence of conflicts of interest.

Références

PLoS One. 2012;7(10):e48522
pubmed: 23119045
Proc Biol Sci. 2018 Aug 1;285(1884):
pubmed: 30068675
Sci Rep. 2017 Aug 14;7(1):8081
pubmed: 28808296
Trends Ecol Evol. 2011 Apr;26(4):183-92
pubmed: 21367482
Ecol Appl. 2010 Sep;20(6):1512-22
pubmed: 20945756
PLoS One. 2014 Nov 19;9(11):e112732
pubmed: 25409027
Proc Natl Acad Sci U S A. 2014 Sep 23;111(38):13690-6
pubmed: 25225414
Nat Ecol Evol. 2018 Jan;2(1):57-64
pubmed: 29203921
J Anim Ecol. 2020 Feb;89(2):309-322
pubmed: 31646627
Am Nat. 2010 Dec;176 Suppl 1:S26-44
pubmed: 21043778
Trends Ecol Evol. 2012 Apr;27(4):244-52
pubmed: 22244797
J R Soc Interface. 2017 Sep;14(134):
pubmed: 28904005
Trends Plant Sci. 2009 Jan;14(1):51-8
pubmed: 19042147
Ecology. 2008 Aug;89(8):2290-301
pubmed: 18724739
Nature. 2013 Sep 26;501(7468):539-42
pubmed: 24067714
Nature. 2016 Jan 14;529(7585):167-71
pubmed: 26700811
Bioinformatics. 2012 Jan 1;28(1):112-8
pubmed: 22039212
Am Nat. 2004 Feb;163(2):192-211
pubmed: 14970922
Proc Biol Sci. 2016 Apr 13;283(1828):
pubmed: 27053754
Nature. 2000 May 11;405(6783):220-7
pubmed: 10821282
Nat Commun. 2019 May 23;10(1):2279
pubmed: 31123264
Science. 2015 Nov 13;350(6262):766-8
pubmed: 26564845
Ecol Evol. 2019 Mar 13;9(7):4025-4037
pubmed: 31015985
Proc Natl Acad Sci U S A. 2015 Jan 20;112(3):797-802
pubmed: 25561561
Nature. 2018 Jul;559(7714):392-395
pubmed: 29973726
Am J Bot. 2011 Mar;98(3):472-80
pubmed: 21613140
Proc Natl Acad Sci U S A. 2014 Sep 23;111(38):13745-50
pubmed: 25225365
PeerJ. 2016 Sep 15;4:e2387
pubmed: 27672494
Curr Biol. 2017 Jun 5;27(11):R511-R527
pubmed: 28586689
Biol Rev Camb Philos Soc. 2012 Nov;87(4):769-85
pubmed: 22432924
Trends Ecol Evol. 1999 Mar;14(3):96-101
pubmed: 10322508
Trends Ecol Evol. 2013 Mar;28(3):167-77
pubmed: 23141923
PLoS Biol. 2013;11(5):e1001569
pubmed: 23723735
Proc Biol Sci. 2016 Jan 13;283(1822):
pubmed: 26740616
Trends Ecol Evol. 2007 May;22(5):250-7
pubmed: 17296244
Ecology. 2010 Jan;91(1):299-305
pubmed: 20380219
Ecol Lett. 2015 Dec;18(12):1406-19
pubmed: 26415616

Auteurs

Elisabeth M V Myers (EMV)

New Zealand Institute for Advanced Study (NZIAS) Massey University Auckland New Zealand.

Marti J Anderson (MJ)

New Zealand Institute for Advanced Study (NZIAS) Massey University Auckland New Zealand.

Libby Liggins (L)

School of Natural and Computational Sciences Massey University Auckland New Zealand.
Auckland War Memorial Museum Tāmaki Paenga Hira Auckland New Zealand.

Euan S Harvey (ES)

School of Molecular and Life Sciences Curtin University Bentley WA Australia.

Clive D Roberts (CD)

Museum of New Zealand Te Papa Tongarewa Wellington New Zealand.

David Eme (D)

New Zealand Institute for Advanced Study (NZIAS) Massey University Auckland New Zealand.
IFREMER Unité Ecologie et Modèles pour l'Halieutique Nantes France.

Classifications MeSH