Evidence map›Paper›PMID 37064507›Full record

ArticleFunctional ecology2023

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

Lukas Drag, Ryan C Burner, Jörg G Stephan, Tone Birkemoe, Inken Doerfler, Martin M Gossner, Paul Magdon, Otso Ovaskainen, Mária Potterf, Peter Schall and 4 more

Abstract read
In one paragraph

Article in Functional ecology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Lukas DragField Station Fabrikschleichach, Department of Animal Ecology and Tropical Biology, Biocenter University of Würzburg Rauhenebrach Germany.ORCID https://orcid.org/0000-0002-6002-9214
Ryan C BurnerU.S. Geological Survey, Upper Midwest Environmental Sciences Center La Crosse Wisconsin USA.ORCID https://orcid.org/0000-0002-7314-9506
Jörg G StephanSLU Swedish Species Information Centre Swedish University of Agricultural Sciences Uppsala Sweden.ORCID https://orcid.org/0000-0001-6195-7867
Tone BirkemoeFaculty of Environmental Sciences and Natural Resource Management Norwegian University of Life Sciences Ås Norway.ORCID https://orcid.org/0000-0002-4692-6154
Inken DoerflerInstitute of Biology and Environmental Science, Vegetation Science & Nature Conservation University of Oldenburg Oldenburg Germany.ORCID https://orcid.org/0000-0001-9624-1922
Martin M GossnerForest Entomology Swiss Federal Research Institute WSL Birmensdorf Switzerland.ORCID https://orcid.org/0000-0003-1516-6364
Paul MagdonForest Inventory and Remote Sensing University of Göttingen Göttingen Germany.
Otso OvaskainenDepartment of Biological and Environmental Science University of Jyväskylä Jyväskylä Finland.ORCID https://orcid.org/0000-0001-9750-4421
Mária PotterfDepartment of Biological and Environmental Science University of Jyväskylä Jyväskylä Finland.ORCID https://orcid.org/0000-0001-6763-1948
Peter SchallSilviculture and Forest Ecology of the Temperate Zones University of Göttingen Göttingen Germany.ORCID https://orcid.org/0000-0003-4808-818X
Tord SnällSLU Swedish Species Information Centre Swedish University of Agricultural Sciences Uppsala Sweden.ORCID https://orcid.org/0000-0001-5856-5539
Anne Sverdrup-ThygesonFaculty of Environmental Sciences and Natural Resource Management Norwegian University of Life Sciences Ås Norway.ORCID https://orcid.org/0000-0002-3122-2250
Wolfgang WeisserDepartment of Ecology and Ecosystem management Technische Universität München Freising-Weihenstephan Germany.ORCID https://orcid.org/0000-0002-2757-8959
Jörg MüllerField Station Fabrikschleichach, Department of Animal Ecology and Tropical Biology, Biocenter University of Würzburg Rauhenebrach Germany.ORCID https://orcid.org/0000-0002-1409-1586

Funding

Austrian Science Fund FWF I 4018
6 · The paper itself

Abstract

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.

Indexed as

airborne laser scanningBayesian modellingColeopteraenvironmental gradientfunctional traitsHMSCLiDARphylogeny

Identifiers

PMID37064507
PMCPMC10092804

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.