The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
Hierarchical effects of environmental filters on the functional structure of plant communities: a case study in the French Alps
Abstract
Understanding the influence of the environment on the functional structure of ecological communities is essential to predict the response of biodiversity to global change drivers. Ecological theory suggests that multiple environmental factors shape local species assemblages by progressively filtering species from the regional species pool to local communities. These successive filters should influence the various components of community functional structure in different ways. In this paper, we tested the relative influence of multiple environmental filters on various metrics of plant functional trait structure (i.e. ‘community weighted mean trait’ and components of functional trait diversity, i.e. functional richness, evenness and divergence) in 82 vegetation plots in the Guisane Valley, French Alps. For the 211 sampled species we measured traits known to capture key aspects of ecological strategies amongst vascular plant species, i.e. leaf traits, plant height and seed mass (LHS). A comprehensive information theory framework, together with null model based resampling techniques, was used to test the various environmental effects. Particular community components of functional structure responded differently to various environmental gradients, especially concerning the spatial scale at which the environmental factors seem to operate. Environmental factors acting at a large spatial scale (e.g. temperature) were found to predominantly shape community weighted mean trait values, while fine‐scale factors (topography and soil characteristics) mostly influenced functional diversity and the distribution of trait values among the dominant species. Our results emphasize the hierarchical nature of ecological forces shaping local species assemblage: large‐scale environmental filters having a primary effect, i.e. selecting the pool of species adapted to a site, and then filters at finer scales determining species abundances and local species coexistence. This suggests that different components of functional community structure will respond differently to environmental change, so that predicting plant community responses will require a hierarchical multi‐facet approach.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Model selection and multimodel inference: a practical information-theoretic approach.
Guthery, F. S., Burnham, K. P., & Anderson, D. R. (2003) · The Journal of Wildlife Management · doi:10.2307/3802723 · Cited by 41,495
The worldwide leaf economics spectrum
Wright, I. J., Reich, P. B., Westoby, M., Ackerly, D. D., Baruch, Z., Bongers, F., Cavender-Bares, J., Chapin, T., Cornelissen, J. H. C., Diemer, M., et al. (2004) · Nature · doi:10.1038/nature02403 · Cited by 9,021
Measuring biological diversity
(2004) · Choice Reviews Online · doi:10.5860/choice.42-1547 · Cited by 6,621
Rebuilding community ecology from functional traits
MCGILL, B., ENQUIST, B., WEIHER, E., & WESTOBY, M. (2006) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2006.02.002 · Cited by 4,631
Measuring Biological Diversity
REID, J. R. W. (2005) · Austral Ecology · doi:10.1111/j.1442-9993.2005.01502.x · Cited by 4,442
A distance‐based framework for measuring functional diversity from multiple traits
Laliberté, E., & Legendre, P. (2010) · Ecology · doi:10.1890/08-2244.1 · Cited by 4,341
NEW MULTIDIMENSIONAL FUNCTIONAL DIVERSITY INDICES FOR A MULTIFACETED FRAMEWORK IN FUNCTIONAL ECOLOGY
Villéger, S., Mason, N. W. H., & Mouillot, D. (2008) · Ecology · doi:10.1890/07-1206.1 · Cited by 3,585
Vive la différence: plant functional diversity matters to ecosystem processes
Dı́az, S., & Cabido, M. (2001) · Trends in Ecology & Evolution · doi:10.1016/s0169-5347(01)02283-2 · Cited by 3,306
Körner, C. (1999) · Cited by 2,682
Assessing the generality of global leaf trait relationships
Wright, I. J., Reich, P. B., Cornelissen, J. H. C., Falster, D. S., Garnier, E., Hikosaka, K., Lamont, B. B., Lee, W., Oleksyn, J., Osada, N., et al. (2005) · New Phytologist · doi:10.1111/j.1469-8137.2005.01349.x · Cited by 2,598
Cited by
Tree Diversity Drives Forest Stand Resistance to Natural Disturbances
Jactel, H., Bauhus, J., Boberg, J., Bonal, D., Castagneyrol, B., Gardiner, B., Gonzalez-Olabarria, J. R., Koricheva, J., Meurisse, N., & Brockerhoff, E. G. (2017) · Current Forestry Reports · doi:10.1007/s40725-017-0064-1 · Cited by 592
Comparing species interaction networks along environmental gradients
Pellissier, L., Albouy, C., Bascompte, J., Farwig, N., Graham, C., Loreau, M., Maglianesi, M. A., Melián, C. J., Pitteloud, C., Roslin, T., et al. (2018) · Biological Reviews · doi:10.1111/brv.12366 · Cited by 317
Self-citation
Metadata
- Authors
- Bello, F. D., Lavorel, S., Lavergne, S., Albert, C. H., Boulangeat, I., Mazel, F., & Thuiller, W.
- Venue
- Ecography
- Publisher
- Wiley
- Published
- 2012-07-18
- Volume
- 36
- Issue
- 3
- Pages
- 393-402
- ISSN
- 0906-7590 (ISSN-L)
- 1600-0587
- OpenAlex
- W2004320369
- Cited by
- 345
- References
- 60
- FWCI
- 17.45
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Hierarchical effects of environmental filters on the functional structure of plant communities: a case study in the French Alps. https://app.cochat.ai/papers/10.1111/j.1600-0587.2012.07438.x
- The paper
- Bello, F. D., Lavorel, S., Lavergne, S., Albert, C. H., Boulangeat, I., Mazel, F., & Thuiller, W. (2013). Hierarchical effects of environmental filters on the functional structure of plant communities: a case study in the French Alps. Ecography. https://doi.org/10.1111/j.1600-0587.2012.07438.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.