The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Forest microclimate dynamics drive plant responses to warming
Open accessAbstract
Local factors restrain forest warming: Microclimates are key to understanding how organisms and ecosystems respond to macroclimate change, yet they are frequently neglected when studying biotic responses to global change. Zellweger et al. provide a long-term, continental-scale assessment of the effects of micro- and macroclimate on the community composition of European forests (see the Perspective by Lembrechts and Nijs). They show that changes in forest canopy cover are fundamentally important for driving community responses to climate change. Closed canopies buffer against the effects of macroclimatic change through their cooling effect, slowing shifts in community composition, whereas open canopies tend to accelerate community change through local heating effects. Science , this issue p. 772 ; see also p. 711
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
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
Mixed effects models and extensions in ecology with R
Zuur, A. F., Ieno, E. N., Walker, N., Saveliev, A. A., & Smith, G. M. (2009) · Statistics for Biology and Health · doi:10.1007/978-0-387-87458-6 · Cited by 17,963
WorldClim 2: new 1‐km spatial resolution climate surfaces for global land areas
Fick, S. E., & Hijmans, R. J. (2017) · International Journal of Climatology · doi:10.1002/joc.5086 · Cited by 16,088
Generalized Additive Models: An Introduction with R
Wood, S. N. (2017) · doi:10.1201/9781315370279 · Cited by 13,852
A general and simple method for obtaining R 2 from generalized linear mixed‐effects models
Nakagawa, S., & Schielzeth, H. (2013) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2012.00261.x · Cited by 10,356
Ecological and Evolutionary Responses to Recent Climate Change
Parmesan, C. (2006) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev.ecolsys.37.091305.110100 · Cited by 8,652
Updated high‐resolution grids of monthly climatic observations – the CRU TS3 .10 Dataset
Harris, I., Jones, P. D., Osborn, T. J., & Lister, D. H. (2014) · International Journal of Climatology · doi:10.1002/joc.3711 · Cited by 6,094
Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure
Roberts, D. R., Bahn, V., Ciuti, S., Boyce, M. S., Elith, J., Guillera‐Arroita, G., Hauenstein, S., Lahoz‐Monfort, J. J., Schröder, B., Thuiller, W., et al. (2017) · Ecography · doi:10.1111/ecog.02881 · Cited by 3,689
Biodiversity redistribution under climate change: Impacts on ecosystems and human well-being
Pecl, G. T., Araújo, M. B., Bell, J. D., Blanchard, J., Bonebrake, T. C., Chen, I.-C., Clark, T. D., Colwell, R. K., Danielsen, F., Evengård, B., et al. (2017) · Science · doi:10.1126/science.aai9214 · Cited by 3,668
Self-citationAbatzoglou, J. T., Dobrowski, S. Z., Parks, S. A., & Hegewisch, K. C. (2018) · Scientific Data · doi:10.1038/sdata.2017.191 · Cited by 3,421
Cited by
Dynamics of Ecological Communities Following Current Retreat of Glaciers
Ficetola, G. F., Marta, S., Guerrieri, A., Gobbi, M., Ambrosini, R., Fontaneto, D., Zerboni, A., Poulenard, J., Caccianiga, M., & Thuiller, W. (2021) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev-ecolsys-010521-040017 · Cited by 112
Wang, Z., Tan, B., Yang, W., Wang, Q., Chang, C., Wang, L., Li, H., You, C., Cao, R., Jiang, Y., et al. (2023) · European Journal of Forest Research · doi:10.1007/s10342-022-01503-2 · Cited by 14
Metadata
- Authors
- Zellweger, F., De Frenne, P., Lenoir, J., Vangansbeke, P., Verheyen, K., Bernhardt-Römermann, M., Baeten, L., Hédl, R., Berki, I., Brunet, J., Van Calster, H., Chudomelová, M., Decocq, G., Dirnböck, T., Durak, T., Heinken, T., Jaroszewicz, B., Kopecký, M., Máliš, F., Macek, M., Malicki, M., Naaf, T., Nagel, T. A., Ortmann-Ajkai, A., Petřík, P., Pielech, R., Reczyńska, K., Schmidt, W., Standovár, T., Świerkosz, K., Teleki, B., Vild, O., Wulf, M., & Coomes, D.
- Venue
- Science
- Published
- 2020-05-15
- Volume
- 368
- Issue
- 6492
- Pages
- 772-775
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W3024046348
- Cited by
- 819
- References
- 48
- FWCI
- 66.26
- Type
- journal article
- Language
- en
- Open access
- green
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: Forest microclimate dynamics drive plant responses to warming. https://app.cochat.ai/papers/10.1126/science.aba6880
- The paper
- Zellweger, F., De Frenne, P., Lenoir, J., Vangansbeke, P., Verheyen, K., Bernhardt-Römermann, M., Baeten, L., Hédl, R., Berki, I., Brunet, J., Van Calster, H., Chudomelová, M., Decocq, G., Dirnböck, T., Durak, T., Heinken, T., Jaroszewicz, B., Kopecký, M., Máliš, F., . . . Coomes, D. (2020). Forest microclimate dynamics drive plant responses to warming. Science. https://doi.org/10.1126/science.aba6880
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.