Hierarchical trait filtering at different spatial scales determines beetle assemblages in deadwood

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Authors

  • Felix Neff
  • Jonas Hagge
  • Rafael Achury
  • Didem Ambarlı
  • Christian Ammer
  • Peter Schall
  • Sebastian Seibold
  • Michael Staab
  • Wolfgang W. Weisser
  • Martin M. Gossner

Environmental filters—including those resulting from biotic interactions—play a crucial role during the assembly of ecological communities. The importance of scale has thereby been acknowledged but filters at different scales have rarely been quantified in relation to each other, although these hierarchically nested filters eventually determine which communities assemble from a regional species pool. Saproxylic beetles offer an ideal system to study such hierarchically nested environmental filters. Three steps of filtering during the community assembly of these deadwood-dependent beetles are proposed. First, starting from a regional species pool, species must disperse to forest sites. Second, within a site, individuals need to find a patch with preferred microclimatic conditions. Third, the conditions of a single deadwood object (i.e. tree species identity, decomposition stage) at this patch will determine, which species colonise and establish. To study these hierarchical filters, we used unique long-term data ets of saproxylic beetle diversity from trap catches at 29 sites and from emergence traps on 694 experimentally installed deadwood logs at the same sites in three regions in Germany. To relate different environmental filters to beetle assemblages, we used a set of 13 functional traits that are hypothesised to relate to different filters at different scales. We show that all three hierarchical filtering steps resulted in reductions of functional diversity and simultaneous shifts in the functional composition of beetle assemblages, reflecting the roles of different traits in response to different filters. Trait composition changed most strongly at the last filtering step, that is, depended on tree species identity and decomposition stage. We showed that if community assembly is analysed as a hierarchical multi-step process based on data from different spatial scales, environmental filters can be quantified at these scales. As such, a better understanding of the role that different filters play at different spatial scales can be reached. Read the free Plain Language Summary for this article on the Journal blog.

OriginalspracheEnglisch
ZeitschriftFunctional Ecology
Jahrgang36
Ausgabenummer12
Seiten (von - bis)2929-2942
Anzahl der Seiten14
ISSN0269-8463
DOIs
PublikationsstatusErschienen - 12.2022
Extern publiziertJa

Bibliographische Notiz

Publisher Copyright:
© 2022 The Authors. Functional Ecology © 2022 British Ecological Society.

DOI

Zuletzt angesehen

Publikationen

  1. Dynamic Lot Size Optimization with Reinforcement Learning
  2. Use of Machine-Learning Algorithms Based on Text, Audio and Video Data in the Prediction of Anxiety and Post-Traumatic Stress in General and Clinical Populations
  3. Comparison of different FEM codes approach for extrusion process analysis
  4. Towards a spatial understanding of identity play
  5. Global Finite-Time Stabilization of Planar Linear Systems With Actuator Saturation
  6. Effectiveness of a guided multicomponent internet and mobile gratitude training program - A pragmatic randomized controlled trial
  7. Sensor Fusion for Power Line Sensitive Monitoring and Load State Estimation
  8. Clause identification using entropy guided transformation learning
  9. Experimentally established correlation of friction surfacing process temperature and deposit geometry
  10. Constraints are the solution, not the problem
  11. Segment Introduction
  12. Understanding storytelling in the context of information systems
  13. The signal location task as a method quantifying the distribution of attention
  14. Universal Threshold Calculation for Fingerprinting Decoders using Mixture Models
  15. Real-time RDF extraction from unstructured data streams
  16. Age effects on controlling tools with sensorimotor transformations
  17. Supporting the Development and Realization of Data-Driven Business Models with Enterprise Architecture Modeling and Management
  18. Computing regression statistics from grouped data
  19. A localized boundary element method for the floating body problem
  20. On the Decoupling and Output Functional Controllability of Robotic Manipulation
  21. Analysis of PI controllers with anti-windup techniques on level systems
  22. Image compression based on periodic principal components
  23. TRY plant trait database – enhanced coverage and open access
  24. A Review of Latent Variable Modeling Using R - A Step-by-Step-Guide
  25. Knowledge-Enhanced Language Models Are Not Bias-Proof
  26. An Orthogonal Wavelet Denoising Algorithm for Surface Images of Atomic Force Microscopy
  27. Data-driven and physics-based modelling of process behaviour and deposit geometry for friction surfacing
  28. Teaching methods for modelling problems and students’ task-specific enjoyment, value, interest and self-efficacy expectations
  29. Self-regulation in error management training: emotion control and metacognition as mediators of performance effects
  30. Spaces for challenging experiences, indeterminacy, and experimentation
  31. Teachers’ use of data from digital learning platforms for instructional design