The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Is the change of plant–plant interactions with abiotic stress predictable? A meta‐analysis of field results in arid environments
Abstract
1 Theoretical models have predicted that the relative importance of facilitation and competition will vary inversely across gradients of abiotic stress, with facilitation being the dominant interaction under high abiotic stress conditions. A critical reappraisal of current theoretical models is needed because experimental studies both support and refute their predictions. 2 A quantitative meta-analysis of field and common garden studies evaluating the effect of abiotic stress (low vs. high) on the net outcome of plant–plant interactions in arid and semi-arid environments was performed to evaluate the degree of empirical support for these models. We created four separate data sets corresponding to the categories of response variables commonly used to measure plant performance (survival, density, growth and fecundity). 3 The analyses showed that both the selection of the estimator of plant performance and the experimental approach followed have a strong influence on both the net outcome of plant–plant interactions and the effect of abiotic stress on such outcome. The effect of neighbours on the survival and growth of target plants was not significant at either stress level, but that on the density and fecundity of target plants was positive (facilitation) and negative (competition) at the low and high abiotic stress level, respectively. Density data showed that the net effect of neighbours was positive and negative at low and high abiotic stress levels, respectively, whereas other estimators suggested that the net effect of neighbours did not differ with stress level. None of our meta-analyses indicated that the magnitude of the net effect provided by neighbours, whether positive or negative, was higher under high abiotic stress conditions, and facilitation does not therefore appear to increase in importance with abiotic stress. 4 As the predictions of current theoretical models regarding the relationship between the net outcome of a plant–plant interaction and abiotic stress do not hold in arid and semi-arid environments, different models are needed. These should consider different sources of abiotic stress separately, and should be valid for performance measurements, such as survival, that integrate plant responses over time. The incorporation of these features into theoretical models will undoubtedly improve their predictive capabilities.
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
Operating characteristics of a rank correlation test for publication bias
Begg, C. B., & Mazumdar, M. (1994) · Biometrics · doi:10.2307/2533446 · Cited by 16,955
Competitive Exclusion in Herbaceous Vegetation
GRIME, J. P. (1973) · Nature · doi:10.1038/242344a0 · Cited by 2,507
Cited by
Van Der Heijden, M. G. A., Bardgett, R. D., & Van Straalen, N. M. (2008) · Ecology Letters · doi:10.1111/j.1461-0248.2007.01139.x · Cited by 5,053
Plant–soil feedbacks: the past, the present and future challenges
van der Putten, W. H., Bardgett, R. D., Bever, J. D., Bezemer, T. M., Casper, B. B., Fukami, T., Kardol, P., Klironomos, J. N., Kulmatiski, A., Schweitzer, J. A., et al. (2013) · Journal of Ecology · doi:10.1111/1365-2745.12054 · Cited by 1,758
Bever, J. D. (2003) · New Phytologist · doi:10.1046/j.1469-8137.2003.00714.x · Cited by 873
Global response patterns of terrestrial plant species to nitrogen addition
Xia, J., & Wan, S. (2008) · New Phytologist · doi:10.1111/j.1469-8137.2008.02488.x · Cited by 709
Root competition: beyond resource depletion
SCHENK, H. J. (2006) · Journal of Ecology · doi:10.1111/j.1365-2745.2006.01124.x · Cited by 587
Metadata
- Authors
- MAESTRE, F. T., VALLADARES, F., & REYNOLDS, J. F.
- Venue
- Journal of Ecology
- Publisher
- Wiley
- Published
- 2005-06-15
- Volume
- 93
- Issue
- 4
- Pages
- 748-757
- ISSN
- 0022-0477 (ISSN-L)
- 1365-2745
- OpenAlex
- W2158255202
- Cited by
- 1,059
- References
- 2
- FWCI
- 45.65
- 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: Is the change of plant–plant interactions with abiotic stress predictable? A meta‐analysis of field results in arid environments. https://app.cochat.ai/papers/10.1111/j.1365-2745.2005.01017.x
- The paper
- MAESTRE, F. T., VALLADARES, F., & REYNOLDS, J. F. (2005). Is the change of plant–plant interactions with abiotic stress predictable? A meta‐analysis of field results in arid environments. Journal of Ecology. https://doi.org/10.1111/j.1365-2745.2005.01017.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.