High-resolution 3D forest structure explains ecomorphological trait variation in assemblages of saproxylic beetles.

Bayesian modelling Coleoptera HMSC LiDAR airborne laser scanning environmental gradient functional traits phylogeny

Journal

Functional ecology
ISSN: 0269-8463
Titre abrégé: Funct Ecol
Pays: England
ID NLM: 101479393

Informations de publication

Date de publication:
Jan 2023
Historique:
received: 30 10 2021
accepted: 12 09 2022
medline: 18 4 2023
entrez: 17 4 2023
pubmed: 18 4 2023
Statut: ppublish

Résumé

Climate, topography and the 3D structure of forests are major drivers affecting local species communities. However, little is known about how the specific functional traits of saproxylic (wood-living) beetles, involved in the recycling of wood, might be affected by those environmental characteristics.Here, we combine ecological and morphological traits available for saproxylic beetles and airborne laser scanning (ALS) data in Bayesian trait-based joint species distribution models to study how traits drive the distributions of more than 230 species in temperate forests of Europe.We found that elevation (as a proxy for temperature and precipitation) and the proportion of conifers played important roles in species occurrences while variables related to habitat heterogeneity and forest complexity were less relevant. Furthermore, we showed that local communities were shaped by environmental variation primarily through their ecological traits whereas morphological traits were involved only marginally. As predicted, ecological traits influenced species' responses to forest structure, and to other environmental variation, with canopy niche, wood decay niche and host preference as the most important ecological traits. Conversely, no links between morphological traits and environmental characteristics were observed. Both models, however, revealed strong phylogenetic signal in species' response to environmental characteristics.These findings imply that alterations of climate and tree species composition have the potential to alter saproxylic beetle communities in temperate forests. Additionally, ecological traits help explain species' responses to environmental characteristics and thus should prove useful in predicting their responses to future change. It remains challenging, however, to link simple morphological traits to species' complex ecological niches. Read the free Plain Language Summary for this article on the Journal blog.

Identifiants

pubmed: 37064507
doi: 10.1111/1365-2435.14188
pii: FEC14188
pmc: PMC10092804
doi:

Banques de données

Dryad
['10.5061/dryad.f4qrfj707']

Types de publication

Journal Article

Langues

eng

Pagination

150-161

Subventions

Organisme : Austrian Science Fund FWF
ID : I 4018
Pays : Austria

Informations de copyright

© 2022 The Authors. Functional Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society. 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

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.

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.

Tone Birkemoe (T)

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

Inken Doerfler (I)

Institute of Biology and Environmental Science, Vegetation Science & Nature Conservation University of Oldenburg Oldenburg Germany.

Martin M Gossner (MM)

Forest Entomology Swiss Federal Research Institute WSL Birmensdorf Switzerland.
Department of Environmental Systems Science, ETH Zurich Institute of Terrestrial Ecosystems Zurich Switzerland.

Paul Magdon (P)

Forest Inventory and Remote Sensing University of Göttingen Göttingen Germany.

Otso Ovaskainen (O)

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

Mária Potterf (M)

Department of Biological and Environmental Science University of Jyväskylä Jyväskylä Finland.

Peter Schall (P)

Silviculture and Forest Ecology of the Temperate Zones University of Göttingen Göttingen Germany.

Tord Snäll (T)

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

Anne Sverdrup-Thygeson (A)

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

Wolfgang Weisser (W)

Department of Ecology and Ecosystem management Technische Universität München Freising-Weihenstephan Germany.

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.

Classifications MeSH