The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
Increased tree densities in South African savannas: >50 years of data suggests CO2 as a driver
Abstract
For the past century, woody plants have increased in grasslands and savannas worldwide. Woody encroachment may significantly alter ecosystem functioning including fire regimes, herbivore carrying capacity, biodiversity and carbon storage capacity. Traditionally, increases in woody cover and density have been ascribed to changes in the disturbance regime (fire and herbivores) or rainfall. Increased atmospheric CO2 concentrations may also contribute, by increasing growth rates of trees relative to grasses. This hypothesis is still heavily debated because usually potential CO2 effects are confounded by changes in land use (disturbance regime). Here we analyse changes in woody density in fire experiments at three sites in South African savannas where the disturbance regime (fire and herbivores) was kept constant for 30 and 50 years. If global drivers had significant effects on woody plants, we would expect significant increases in tree densities and biomass over time under the constant disturbance regime. Woody density remained constant in a semiarid savanna but tripled in a mesic savanna between the 1970s and 1990s. At the third site, a semiarid savanna near the southern limits of the biome, tree density doubled from the mid 1990s to 2010. Interpretation of the causes is confounded by population recovery after clearing, but aerial photograph analysis on adjacent non‐cleared areas showed an accompanying 48% increase in woody cover. Increased CO2 concentrations are consistent with increased woody density while other global drivers (rainfall) remained constant over the duration of the experiments. The absence of a response in one semiarid savanna could be explained by a smaller carbon sink capacity of the dominant species, which would therefore benefit less from increased CO2. Understanding how savannas and grasslands respond to increased CO2 and identifying the causes of woody encroachment are essential for the successful management of these systems.
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
Mixed-Effects Models in Sand S-PLUS
Pinheiro, J. C., & Bates, D. M. (2000) · Statistics and Computing · doi:10.1007/978-1-4419-0318-1 · Cited by 11,187
nlme : Linear and nonlinear mixed effects models
DebRoy, S. (2006) · Medical Entomology and Zoology · Cited by 10,009
Mixed-Effects Models in S and S-PLUS
(2001) · Technometrics · doi:10.1198/tech.2001.s574 · Cited by 9,278
nlme: Linear and Nonlinear Mixed Effects Models
Pinheiro, J., R Core Team, & Bates, D. (1999) · CRAN: Contributed Packages · doi:10.32614/cran.package.nlme · Cited by 6,849
Ainsworth, E. A., & Long, S. P. (2005) · New Phytologist · doi:10.1111/j.1469-8137.2004.01224.x · Cited by 3,624
Plant Physiological Ecology: Field methods and instrumentation
(2000) · Springer eBooks · doi:10.1007/978-94-010-9013-1 · Cited by 3,294
The vegetation of South Africa, Lesotho and Swaziland.
Mucina, L., & Rutherford, M. C. (2006) · Murdoch University Research Portal · Cited by 3,012
Tree-Grass Interactions in Savannas
Scholes, R. J., & Archer, S. R. (1997) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.ecolsys.28.1.517 · Cited by 2,544
Lambers, H., Chapin, F. S., & Pons, T. L. (2008) · Springer eBooks · doi:10.1007/978-0-387-78341-3 · Cited by 2,317
Determinants of woody cover in African savannas.
Sankaran, M., Hanan, N. P., Scholes, R. J., Ratnam, J., Augustine, D. J., Cade, B. S., Gignoux, J., Higgins, S. I., Le Roux, X., Ludwig, F., et al. (2005) · Nature · doi:10.1038/nature04070 · Cited by 1,963
Cited by
Climate change impacts in Sub-Saharan Africa: from physical changes to their social repercussions
Serdeczny, O., Adams, S., Baarsch, F., Coumou, D., Robinson, A., Hare, W., Schaeffer, M., Perrette, M., & Reinhardt, J. (2017) · Regional Environmental Change · doi:10.1007/s10113-015-0910-2 · Cited by 1,037
The biodiversity cost of carbon sequestration in tropical savanna
Abreu, R. C. R., Hoffmann, W. A., Vasconcelos, H. L., Pilon, N. A., Rossatto, D. R., & Durigan, G. (2017) · Science Advances · doi:10.1126/sciadv.1701284 · Cited by 417
Climate, CO 2 and human population impacts on global wildfire emissions
Knorr, W., Jiang, L., & Arneth, A. (2016) · Biogeosciences · doi:10.5194/bg-13-267-2016 · Cited by 144
Increasing atmospheric CO2 overrides the historical legacy of multiple stable biome states in Africa
Moncrieff, G. R., Scheiter, S., Bond, W. J., & Higgins, S. I. (2014) · New Phytologist · doi:10.1111/nph.12551 · Cited by 93
Self-citationTropical grassy biomes: linking ecology, human use and conservation
Lehmann, C. E. R., & Parr, C. L. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2016.0329 · Cited by 89
Metadata
- Authors
- Buitenwerf, R., Bond, W. J., Stevens, N., & Trollope, W. S. W.
- Venue
- Global Change Biology
- Publisher
- Wiley
- Published
- 2011-10-27
- Volume
- 18
- Issue
- 2
- Pages
- 675-684
- ISSN
- 1354-1013 (ISSN-L)
- 1365-2486
- OpenAlex
- W2101776010
- Cited by
- 353
- References
- 60
- FWCI
- 14.93
- 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: Increased tree densities in South African savannas: >50 years of data suggests CO2 as a driver. https://app.cochat.ai/papers/10.1111/j.1365-2486.2011.02561.x
- The paper
- Buitenwerf, R., Bond, W. J., Stevens, N., & Trollope, W. S. W. (2012). Increased tree densities in South African savannas: >50 years of data suggests CO2 as a driver. Global Change Biology. https://doi.org/10.1111/j.1365-2486.2011.02561.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.