Alternative measures of trait-niche relationships: A test on dispersal traits in saproxylic beetles.

Bayesian joint species distribution model community‐weighted mean trait values deadwood dispersal capacity morphological traits phylogeny response trait wing length

Journal

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

Informations de publication

Date de publication:
Oct 2023
Historique:
received: 14 06 2023
revised: 11 09 2023
accepted: 22 09 2023
medline: 23 10 2023
pubmed: 23 10 2023
entrez: 23 10 2023
Statut: epublish

Résumé

Functional trait approaches are common in ecology, but a lack of clear hypotheses on how traits relate to environmental gradients (i.e., trait-niche relationships) often makes uncovering mechanisms difficult. Furthermore, measures of community functional structure differ in their implications, yet inferences are seldom compared among metrics. Community-weighted mean trait values (CWMs), a common measure, are largely driven by the most common species and thus do not reflect community-wide trait-niche relationships per se. Alternatively, trait-niche relationships can be estimated across a larger group of species using hierarchical joint species distribution models (JSDMs), quantified by a parameter Γ. We investigated how inferences about trait-niche relationships are affected by the choice of metric. Using deadwood-dependent (saproxylic) beetles in fragmented Finnish forests, we followed a protocol for investigating trait-niche relationships by (1) identifying environmental filters (climate, forest age, and deadwood volume), (2) relating these to an ecological function (dispersal ability), and (3) identifying traits related to this function (wing morphology). We tested 18 hypothesized dispersal relationships using both CWM and Γ estimates across these environmental gradients. CWMs were more likely than Γ to show support for trait-niche relationships. Up to 13% of species' realized niches were explained by dispersal traits, but the directions of effects were consistent with fewer than 11%-39% of our 18 trait-niche hypotheses (depending on the metric used). This highlights the difficulty in connecting morphological traits and ecological functions in insects, despite the clear conceptual link between landscape connectivity and flight-related traits. Caution is thus warranted in hypothesis development, particularly where apparent trait-function links are less clear. Inferences differ when CWMs versus Γ estimates are used, necessitating the choice of a metric that reflects study questions. CWMs help explain the effects of environmental gradients on community trait composition, whereas the effects of traits on species' niches are better estimated using hierarchical JSDMs.

Identifiants

pubmed: 37869428
doi: 10.1002/ece3.10588
pii: ECE310588
pmc: PMC10585442
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e10588

Informations de copyright

© 2023 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.

Déclaration de conflit d'intérêts

The authors have no conflict of interest to declare.

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Auteurs

Ryan C Burner (RC)

U.S. Geological Survey Upper Midwest Environmental Sciences Center La Crosse Wisconsin USA.
Faculty of Environmental Sciences and Natural Resource Management Norwegian University of Life Sciences Ås Norway.

Jörg G Stephan (JG)

SLU Swedish Species Information Centre Swedish University of Agricultural Sciences Uppsala Sweden.

Lukas Drag (L)

Field Station Fabrikschleichach, Department of Animal Ecology and Tropical Biology, Biocenter University of Würzburg Rauhenebrach Germany.
Institute of Entomology Biology Centre of the Czech Academy of Sciences Ceske Budejovice Czech Republic.

Mária Potterf (M)

Department of Life Science Systems Technical University of Munich Freising Bavaria Germany.

Tone Birkemoe (T)

Faculty of Environmental Sciences and Natural Resource Management Norwegian University of Life Sciences Ås Norway.

Juha Siitonen (J)

Natural Resources Institute Finland (Luke) Helsinki Finland.

Jörg Müller (J)

Field Station Fabrikschleichach, Department of Animal Ecology and Tropical Biology, Biocenter University of Würzburg Rauhenebrach Germany.
Bavarian Forest National Park Grafenau Germany.

Otso Ovaskainen (O)

Department of Biological and Environmental Science University of Jyväskylä Jyväskylä Finland.
Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences University of Helsinki Helsinki Finland.
Department of Biology, Centre for Biodiversity Dynamics Norwegian University of Science and Technology Trondheim Norway.

Anne Sverdrup-Thygeson (A)

Faculty of Environmental Sciences and Natural Resource Management Norwegian University of Life Sciences Ås Norway.

Tord Snäll (T)

SLU Swedish Species Information Centre Swedish University of Agricultural Sciences Uppsala Sweden.

Classifications MeSH