The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A synthesis of radial growth patterns preceding tree mortality
Open accessAbstract
Tree mortality is a key factor influencing forest functions and dynamics, but our understanding of the mechanisms leading to mortality and the associated changes in tree growth rates are still limited. We compiled a new pan‐continental tree‐ring width database from sites where both dead and living trees were sampled (2970 dead and 4224 living trees from 190 sites, including 36 species), and compared early and recent growth rates between trees that died and those that survived a given mortality event. We observed a decrease in radial growth before death in ca. 84% of the mortality events. The extent and duration of these reductions were highly variable (1–100 years in 96% of events) due to the complex interactions among study species and the source(s) of mortality. Strong and long‐lasting declines were found for gymnosperms, shade‐ and drought‐tolerant species, and trees that died from competition. Angiosperms and trees that died due to biotic attacks (especially bark‐beetles) typically showed relatively small and short‐term growth reductions. Our analysis did not highlight any universal trade‐off between early growth and tree longevity within a species, although this result may also reflect high variability in sampling design among sites. The intersite and interspecific variability in growth patterns before mortality provides valuable information on the nature of the mortality process, which is consistent with our understanding of the physiological mechanisms leading to mortality. Abrupt changes in growth immediately before death can be associated with generalized hydraulic failure and/or bark‐beetle attack, while long‐term decrease in growth may be associated with a gradual decline in hydraulic performance coupled with depletion in carbon reserves. Our results imply that growth‐based mortality algorithms may be a powerful tool for predicting gymnosperm mortality induced by chronic stress, but not necessarily so for angiosperms and in case of intense drought or bark‐beetle outbreaks.
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
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
Allen, C. D., Macalady, A. K., Chenchouni, H., Bachelet, D., McDowell, N., Vennetier, M., Kitzberger, T., Rigling, A., Breshears, D. D., Hogg, E. H. (., et al. (2010) · Forest Ecology and Management · doi:10.1016/j.foreco.2009.09.001 · Cited by 7,763
Self-citationWidespread increase of tree mortality rates in the western United States
van Mantgem, P. J., Stephenson, N. L., Byrne, J. C., Daniels, L. D., Franklin, J. F., Fulé, P. Z., Harmon, M. E., Larson, A. J., Smith, J. M., Taylor, A. H., et al. (2009) · Science · doi:10.1126/science.1165000 · Cited by 1,799
Self-citationAnderegg, W. R. L., Klein, T., Bartlett, M., Sack, L., Pellegrini, A. F. A., Choat, B., & Jansen, S. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1525678113 · Cited by 882
Self-citation
Cited by
A first assessment of the impact of the extreme 2018 summer drought on Central European forests
Schuldt, B., Buras, A., Arend, M., Vitasse, Y., Beierkuhnlein, C., Damm, A., Gharun, M., Grams, T. E. E., Hauck, M., Hajek, P., et al. (2020) · Basic and Applied Ecology · doi:10.1016/j.baae.2020.04.003 · Cited by 1,021
Self-citationDrivers and mechanisms of tree mortality in moist tropical forests
McDowell, N., Allen, C. D., Anderson‐Teixeira, K., Brando, P., Brienen, R., Chambers, J., Christoffersen, B., Davies, S., Doughty, C., Duque, A., et al. (2018) · New Phytologist · doi:10.1111/nph.15027 · Cited by 597
Self-citationTree carbon allocation explains forest drought‐kill and recovery patterns
Trugman, A. T., Detto, M., Bartlett, M. K., Medvigy, D., Anderegg, W. R. L., Schwalm, C., Schaffer, B., & Pacala, S. W. (2018) · Ecology Letters · doi:10.1111/ele.13136 · Cited by 341
Forest carbon sink neutralized by pervasive growth-lifespan trade-offs
Brienen, R. J. W., Caldwell, L., Duchesne, L., Voelker, S., Barichivich, J., Baliva, M., Ceccantini, G., Di Filippo, A., Helama, S., Locosselli, G. M., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17966-z · Cited by 287
Self-citationWalker, A. P., De Kauwe, M. G., Medlyn, B. E., Zaehle, S., Iversen, C. M., Asao, S., Guenet, B., Harper, A., Hickler, T., Hungate, B. A., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-08348-1 · Cited by 107
Metadata
- Authors
- Cailleret, M., Jansen, S., Robert, E. M. R., Desoto, L., Aakala, T., Antos, J. A., Beikircher, B., Bigler, C., Bugmann, H., Caccianiga, M., Čada, V., Camarero, J. J., Cherubini, P., Cochard, H., Coyea, M. R., Čufar, K., Das, A. J., Davi, H., Delzon, S., Dorman, M., Gea‐Izquierdo, G., Gillner, S., Haavik, L. J., Hartmann, H., Hereş, A., Hultine, K. R., Janda, P., Kane, J. M., Kharuk, V. I., Kitzberger, T., Klein, T., Kramer, K., Lens, F., Levanic, T., Linares Calderon, J. C., Lloret, F., Lobo‐Do‐Vale, R., Lombardi, F., López Rodríguez, R., Mäkinen, H., Mayr, S., Mészáros, I., Metsaranta, J. M., Minunno, F., Oberhuber, W., Papadopoulos, A., Peltoniemi, M., Petritan, A. M., Rohner, B., Sangüesa‐Barreda, G., Sarris, D., Smith, J. M., Stan, A. B., Sterck, F., Stojanović, D. B., Suarez, M. L., Svoboda, M., Tognetti, R., Torres‐Ruiz, J. M., Trotsiuk, V., Villalba, R., Vodde, F., Westwood, A. R., Wyckoff, P. H., Zafirov, N., & Martínez‐Vilalta, J.
- Venue
- Global Change Biology
- Publisher
- Wiley
- Published
- 2016-11-12
- Volume
- 23
- Issue
- 4
- Pages
- 1675-1690
- ISSN
- 1354-1013 (ISSN-L)
- 1365-2486
- OpenAlex
- W2532468202
- Cited by
- 557
- References
- 4
- FWCI
- 25.56
- 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: A synthesis of radial growth patterns preceding tree mortality. https://app.cochat.ai/papers/10.1111/gcb.13535
- The paper
- Cailleret, M., Jansen, S., Robert, E. M. R., Desoto, L., Aakala, T., Antos, J. A., Beikircher, B., Bigler, C., Bugmann, H., Caccianiga, M., Čada, V., Camarero, J. J., Cherubini, P., Cochard, H., Coyea, M. R., Čufar, K., Das, A. J., Davi, H., Delzon, S., . . . Martínez‐Vilalta, J. (2017). A synthesis of radial growth patterns preceding tree mortality. Global Change Biology. https://doi.org/10.1111/gcb.13535
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.