The DOI matches its Crossref record.
Interpreting phenotypic variation in plants
Open accessAbstract
Plant ecologists and evolutionary biologists frequently examine patterns of phenotypic variation across variable environments or genetic identities. Too often, we ignore the fact that most phenotypic traits change throughout growth and development of individual plants, and that rates of growth and development are highly variable. Plants growing in different environments are likely to grow at different rates, and will be of different sizes and stages of development at a particular age. When we compare plants as a function of plant size or developmental stage, as well as a function of age, we broaden our understanding of phenotypic variation between plants.
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
Cited by
Characterizing ecosystem‐level consequences of biological invasions: the role of ecosystem engineers
Crooks, J. A. (2002) · Oikos · doi:10.1034/j.1600-0706.2002.970201.x · Cited by 1,312
Allocation, plasticity and allometry in plants
Weiner, J. (2004) · Perspectives in Plant Ecology, Evolution and Systematics · doi:10.1078/1433-8319-00083 · Cited by 938
The nutritional control of root development
Forde, B., & Lorenzo, H. (2001) · Plant and Soil · doi:10.1023/a:1010329902165 · Cited by 474
Does species diversity limit productivity in natural grassland communities?
Grace, J. B., Michael Anderson, T., Smith, M. D., Seabloom, E., Andelman, S. J., Meche, G., Weiher, E., Allain, L. K., Jutila, H., Sankaran, M., et al. (2007) · Ecology Letters · doi:10.1111/j.1461-0248.2007.01058.x · Cited by 455
Alpert, P., & Simms, E. L. (2002) · Evolutionary Ecology · doi:10.1023/a:1019684612767 · Cited by 367
Metadata
- Authors
- Coleman, J. S., McConnaughay, K. D. M., & Ackerly, D. D.
- Venue
- Trends in Ecology & Evolution
- Publisher
- Elsevier BV
- Published
- 1994-05
- Volume
- 9
- Issue
- 5
- Pages
- 187-191
- ISSN
- 0169-5347 (ISSN-L)
- OpenAlex
- W2023413516
- Cited by
- 656
- References
- 0
- FWCI
- 4.21
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Interpreting phenotypic variation in plants. https://app.cochat.ai/papers/10.1016/0169-5347(94)90087-6
- The paper
- Coleman, J. S., McConnaughay, K. D. M., & Ackerly, D. D. (1994). Interpreting phenotypic variation in plants. Trends in Ecology & Evolution. https://doi.org/10.1016/0169-5347(94)90087-6
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.
