The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Decomposing multiple dimensions of stability in global change experiments
Open accessAbstract
Ecological stability is the central framework to understand an ecosystem's ability to absorb or recover from environmental change. Recent modelling and conceptual work suggests that stability is a multidimensional construct comprising different response aspects. Using two freshwater mesocosm experiments as case studies, we show how the response to single perturbations can be decomposed in different stability aspects (resistance, resilience, recovery, temporal stability) for both ecosystem functions and community composition. We find that extended community recovery is tightly connected to a nearly complete recovery of the function (biomass production), whereas systems with incomplete recovery of the species composition ranged widely in their biomass compared to controls. Moreover, recovery was most complete when either resistance or resilience was high, the latter associated with low temporal stability around the recovery trend. In summary, no single aspect of stability was sufficient to reflect the overall stability of the system.
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
R: A Language and Environment for Statistical Computing
R Core Team (2025) · doi:10.32614/r.manuals · Cited by 352,181
Fitting Linear Mixed-Effects Models Using lme4
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015) · Journal of Statistical Software · doi:10.18637/jss.v067.i01 · Cited by 86,835
Resilience and Stability of Ecological Systems
Holling, C. S. (1973) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.es.04.110173.000245 · Cited by 18,995
An Ordination of the Upland Forest Communities of Southern Wisconsin
Bray, J. R., & Curtis, J. T. (1957) · Ecological Monographs · doi:10.2307/1942268 · Cited by 11,716
Utermöhl, H. (1958) · SIL Communications, 1953-1996 · doi:10.1080/05384680.1958.11904091 · Cited by 5,606
STABILITY AND COMPLEXITY IN MODEL ECOSYSTEMS
Schoener, T. W. (1974) · Evolution · doi:10.1111/j.1558-5646.1974.tb00784.x · Cited by 3,928
BIOVOLUME CALCULATION FOR PELAGIC AND BENTHIC MICROALGAE
Hillebrand, H., Dürselen, C., Kirschtel, D., Pollingher, U., & Zohary, T. (1999) · Journal of Phycology · doi:10.1046/j.1529-8817.1999.3520403.x · Cited by 3,635
Self-citationBiodiversity and ecosystem productivity in a fluctuating environment: The insurance hypothesis
Yachi, S., & Loreau, M. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.4.1463 · Cited by 3,211
The complexity and stability of ecosystems
Pimm, S. L. (1984) · Nature · doi:10.1038/307321a0 · Cited by 3,057
Biodiversity: Population Versus Ecosystem Stability
Tilman, D. (1996) · Ecology · doi:10.2307/2265614 · Cited by 1,629
Cited by
Microbial Community Resilience across Ecosystems and Multiple Disturbances
Philippot, L., Griffiths, B. S., & Langenheder, S. (2021) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00026-20 · Cited by 562
Self-citationWidespread agrochemicals differentially affect zooplankton biomass and community structure
Hébert, M., Fugère, V., Beisner, B. E., Barbosa da Costa, N., Barrett, R. D. H., Bell, G., Shapiro, B. J., Yargeau, V., Gonzalez, A., & Fussmann, G. F. (2021) · Ecological Applications · doi:10.1002/eap.2423 · Cited by 34
Metadata
- Authors
- Hillebrand, H., Langenheder, S., Lebret, K., Lindström, E., Östman, Ö., & Striebel, M.
- Venue
- Ecology Letters
- Publisher
- Wiley
- Published
- 2017-11-05
- Volume
- 21
- Issue
- 1
- Pages
- 21-30
- ISSN
- 1461-023X (ISSN-L)
- 1461-0248
- OpenAlex
- W2765899323
- Cited by
- 312
- References
- 54
- FWCI
- 9.90
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Decomposing multiple dimensions of stability in global change experiments. https://app.cochat.ai/papers/10.1111/ele.12867
- The paper
- Hillebrand, H., Langenheder, S., Lebret, K., Lindström, E., Östman, Ö., & Striebel, M. (2018). Decomposing multiple dimensions of stability in global change experiments. Ecology Letters. https://doi.org/10.1111/ele.12867
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.