The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Tree species range shifts at a continental scale: new predictive insights from a process‐based model
Abstract
Summary: Climate change has already caused distribution shifts in many species, and climate predictions strongly suggest that these will accelerate in the future. Obtaining reliable predictions of species range shifts under climate change is thus currently one of the most crucial challenges for both ecologists and stakeholders. Here we simulate the distributions of 16 North American tree species at a continental scale for the 21st century according to two IPCC storylines, using a process‐based species distribution model that for the first time allows identification of the possible causes of distribution change. Our projections show local extinctions in the south of species ranges (21% of the present distribution, on average), and colonizations of new habitats in the north, though these are limited by dispersal ability for most species. Areas undergoing local extinctions are slightly larger under climate scenario A2 (+3.2 C, +22% on average) than B2 (+1.0 C, +19% on average). This small difference is caused by nonlinear responses of processes (leaves and flowers phenological processes in particular) to temperature. We also show that local extinction may proceed at a slower rate than forecasted so far. Although predicted distribution shifts are very species‐specific, we show that the loss of habitats southward will be mostly due to increased drought mortality and decreased reproductive success, while northward colonizations will be primarily promoted by increased probability of fruit ripening and flower frost survival. Synthesis. Our results show that different species will not face the same risks due to climate change, because their responses to climate differ as well as their dispersal rate. Focusing on processes, our study therefore tempers the alarming conclusions of widely used niche‐based models about biodiversity loss, mainly because our predictions take into account the local adaptation and trait plasticity to climate of the species.
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
Climate change 2007: the physical science basis
Solomon, S., Qin, D., Manning, M., Marquis, M. C., Averyt, K. B., Tignor, M., Miller, H. L., & Chen, Z. (2007) · Cited by 23,383
A globally coherent fingerprint of climate change impacts across natural systems
Parmesan, C., & Yohe, G. (2003) · Nature · doi:10.1038/nature01286 · Cited by 11,265
Ecological responses to recent climate change.
Walther, G.-R., Post, E., Convey, P., Menzel, A., Parmesan, C., Beebee, T. J. C., Fromentin, J.-M., Hoegh-Guldberg, O., & Bairlein, F. (2002) · Nature · doi:10.1038/416389a · Cited by 9,975
An Approach toward a Rational Classification of Climate
Thornthwaite, C. W. (1948) · Geographical Review · doi:10.2307/210739 · Cited by 9,087
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
Extinction risk from climate change
Thomas, C. D., Cameron, A., Green, R. E., Bakkenes, M., Beaumont, L. J., Collingham, Y. C., Erasmus, B. F. N., de Siqueira, M. F., Grainger, A., Hannah, L., et al. (2004) · Nature · doi:10.1038/nature02121 · Cited by 7,695
Fingerprints of global warming on wild animals and plants
Root, T. L., Price, J. T., Hall, K. R., Schneider, S. H., Rosenzweig, C., & Pounds, J. A. (2003) · Nature · doi:10.1038/nature01333 · Cited by 4,774
Lebreton, J.-D., Burnham, K. P., Clobert, J., & Anderson, D. R. (1992) · Ecological Monographs · doi:10.2307/2937171 · Cited by 4,517
Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999
Nemani, R. R., Keeling, C. D., Hashimoto, H., Jolly, W. M., Piper, S. C., Tucker, C. J., Myneni, R. B., & Running, S. W. (2003) · Science · doi:10.1126/science.1082750 · Cited by 3,671
Cited by
Accelerating extinction risk from climate change
Urban, M. C. (2015) · Science · doi:10.1126/science.aaa4984 · Cited by 2,436
Influence of spring and autumn phenological transitions on forest ecosystem productivity
Richardson, A. D., Andy Black, T., Ciais, P., Delbart, N., Friedl, M. A., Gobron, N., Hollinger, D. Y., Kutsch, W. L., Longdoz, B., Luyssaert, S., et al. (2010) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2010.0102 · Cited by 936
Lavergne, S., Mouquet, N., Thuiller, W., & Ronce, O. (2010) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev-ecolsys-102209-144628 · Cited by 757
Why does phenology drive species distribution?
Chuine, I. (2010) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2010.0142 · Cited by 734
Self-citationLong‐distance gene flow and adaptation of forest trees to rapid climate change
Kremer, A., Ronce, O., Robledo‐Arnuncio, J. J., Guillaume, F., Bohrer, G., Nathan, R., Bridle, J. R., Gomulkiewicz, R., Klein, E. K., Ritland, K., et al. (2012) · Ecology Letters · doi:10.1111/j.1461-0248.2012.01746.x · Cited by 677
Metadata
- Authors
- Morin, X., Viner, D., & Chuine, I.
- Venue
- Journal of Ecology
- Publisher
- Wiley
- Published
- 2008-06-10
- Volume
- 96
- Issue
- 4
- Pages
- 784-794
- ISSN
- 0022-0477 (ISSN-L)
- 1365-2745
- OpenAlex
- W2054868810
- Cited by
- 289
- References
- 73
- FWCI
- 10.68
- 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: Tree species range shifts at a continental scale: new predictive insights from a process‐based model. https://app.cochat.ai/papers/10.1111/j.1365-2745.2008.01369.x
- The paper
- Morin, X., Viner, D., & Chuine, I. (2008). Tree species range shifts at a continental scale: new predictive insights from a process‐based model. Journal of Ecology. https://doi.org/10.1111/j.1365-2745.2008.01369.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.