The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
FDiversity: a software package for the integrated analysis of functional diversity
Abstract
Summary: 1. The growing interest in functional diversity has been accompanied by a proliferation of indices proposed to calculate its different components; however, empirical studies have been hampered by a lack of integrated tools for their easy calculation based on field data sets. 2. We present FDiversity, a free, user‐friendly, open source‐based software package for the calculation and integrated statistical analysis of most functional diversity indices and metrics published to date. 3. This tool greatly facilitates the analysis of functional diversity patterns and also the links of different dimensions of functional diversity with environmental factors and ecosystem properties and services.
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
PLANT FUNCTIONAL MARKERS CAPTURE ECOSYSTEM PROPERTIES DURING SECONDARY SUCCESSION
Garnier, E., Cortez, J., Billès, G., Navas, M.-L., Roumet, C., Debussche, M., Laurent, G., Blanchard, A., Aubry, D., Bellmann, A., et al. (2004) · Ecology · doi:10.1890/03-0799 · Cited by 2,313
Incorporating plant functional diversity effects in ecosystem service assessments
Díaz, S., Lavorel, S., de Bello, F., Quétier, F., Grigulis, K., & Robson, T. M. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0704716104 · Cited by 1,658
Self-citationWalker, B., Kinzig, A., & Langridge, J. (1999) · Ecosystems · doi:10.1007/s100219900062 · Cited by 1,062
Metadata
- Authors
- Casanoves, F., Pla, L., Di Rienzo, J. A., & Díaz, S.
- Venue
- Methods in Ecology and Evolution
- Publisher
- Wiley
- Published
- 2010-12-14
- Volume
- 2
- Issue
- 3
- Pages
- 233-237
- ISSN
- 2041-210X (ISSN-L)
- OpenAlex
- W1481073650
- Cited by
- 297
- References
- 3
- FWCI
- 5.77
- 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: FDiversity: a software package for the integrated analysis of functional diversity. https://app.cochat.ai/papers/10.1111/j.2041-210x.2010.00082.x
- The paper
- Casanoves, F., Pla, L., Di Rienzo, J. A., & Díaz, S. (2011). FDiversity: a software package for the integrated analysis of functional diversity. Methods in Ecology and Evolution. https://doi.org/10.1111/j.2041-210x.2010.00082.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.