The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
Experimental assessment of nutrient limitation along a 2‐million‐year dune chronosequence in the south‐western Australia biodiversity hotspot
Open accessAbstract
Summary: 1. The classical model of long‐term ecosystem development suggests that primary productivity is limited by nitrogen (N) on young substrates and phosphorus (P) on older substrates. Measurements of foliar and soil nutrients along soil chronosequences support this model, but direct tests through nutrient‐addition experiments are rare. 2. We conducted a nutrient‐limitation bioassay using phytometer species grown in soils from five stages of a >2‐million‐year dune chronosequence in south‐western Australia. This long‐term chronosequence is located within a region of exceptionally high plant species diversity and has not been previously studied in the context of ecosystem development. 3. Growth of unfertilized phytometers, a proxy for primary productivity, peaked on young soils (hundreds to a few thousand years) and then declined steadily on older soils. This decline was linked to P limitation, and its rapid appearance (<7000 years) compared to other sequences reflects the low P concentration in the parent material. As predicted, growth of canola was N‐limited on the youngest soil (stage 1), co‐limited by multiple nutrients in stage 2 and increasingly P‐limited thereafter. 4. Growth of wheat was P‐limited from stage 2 onwards, yet on the youngest soil it was co‐limited by potassium (K) and micronutrients – most likely iron (Fe). Nitrogen addition also decreased the root:shoot ratio of wheat such that shoot growth was higher than in the control. We attribute these responses to a parent material that is very low in K and N and strongly alkaline (pH [H 2 O] > 9), being of a marine origin (i.e. carbonate dunes). Fe is poorly soluble at high pH and K likely plays a role in the secretion of Fe‐mobilizing exudates from wheat roots. 5. Synthesis. Our results provide strong support for the long‐term ecosystem‐development model, particularly with regard to the appearance of P limitation and associated declines in productivity. However, our study also shows that N cannot be assumed to invariably be the most important limiting nutrient in young soils, and it is unlikely to be the only limiting nutrient in calcareous soils. This south‐western Australian long‐term chronosequence provides an excellent opportunity to explore edaphic controls over plant species diversity.
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
Mineral Nutrition of Higher Plants
(1995) · Elsevier eBooks · doi:10.1016/b978-0-12-473542-2.x5000-7 · Cited by 19,181
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
Simultaneous Inference in General Parametric Models
Hothorn, T., Bretz, F., & Westfall, P. (2008) · Biometrical Journal · doi:10.1002/bimj.200810425 · Cited by 13,847
(1985) · Academic Commons (Stony Brook University) · Cited by 11,328
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
The continental crust: its composition and evolution
Windley, B. F. (1986) · Physics of the Earth and Planetary Interiors · doi:10.1016/0031-9201(86)90093-2 · Cited by 10,915
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
Methods of soil analysis. Part 3 - chemical methods.
Sparks, D. L., Page, A. L., Helmke, P. A., Loeppert, R. H., Soltanpour, P. N., Tabatabai, M. A., Johnston, C. T., & Sumner, M. E. (1996) · Cited by 8,502
Cited by
Hou, E., Luo, Y., Kuang, Y., Chen, C., Lu, X., Jiang, L., Luo, X., & Wen, D. (2020) · Nature Communications · doi:10.1038/s41467-020-14492-w · Cited by 760
Grassland productivity limited by multiple nutrients
Fay, P. A., Prober, S. M., Harpole, W. S., Knops, J. M. H., Bakker, J. D., Borer, E. T., Lind, E. M., MacDougall, A. S., Seabloom, E. W., Wragg, P. D., et al. (2015) · Nature Plants · doi:10.1038/nplants.2015.80 · Cited by 624
Hayes, P., Turner, B. L., Lambers, H., & Laliberté, E. (2014) · Journal of Ecology · doi:10.1111/1365-2745.12196 · Cited by 316
Self-citationBiotic plant–soil feedbacks across temporal scales
Kardol, P., De Deyn, G. B., Laliberté, E., Mariotte, P., & Hawkes, C. V. (2013) · Journal of Ecology · doi:10.1111/1365-2745.12046 · Cited by 229
Self-citationA plant–microbe interaction framework explaining nutrient effects on primary production
Čapek, P., Manzoni, S., Kaštovská, E., Wild, B., Diáková, K., Bárta, J., Schnecker, J., Biasi, C., Martikainen, P. J., Alves, R. J. E., et al. (2018) · Nature Ecology & Evolution · doi:10.1038/s41559-018-0662-8 · Cited by 159
Metadata
- Authors
- Laliberté, E., Turner, B. L., Costes, T., Pearse, S. J., Wyrwoll, K., Zemunik, G., & Lambers, H.
- Venue
- Journal of Ecology
- Publisher
- Wiley
- Published
- 2012-03-12
- Volume
- 100
- Issue
- 3
- Pages
- 631-642
- ISSN
- 0022-0477 (ISSN-L)
- 1365-2745
- OpenAlex
- W1537891485
- Cited by
- 253
- References
- 58
- FWCI
- 28.88
- 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: Experimental assessment of nutrient limitation along a 2‐million‐year dune chronosequence in the south‐western Australia biodiversity hotspot. https://app.cochat.ai/papers/10.1111/j.1365-2745.2012.01962.x
- The paper
- Laliberté, E., Turner, B. L., Costes, T., Pearse, S. J., Wyrwoll, K., Zemunik, G., & Lambers, H. (2012). Experimental assessment of nutrient limitation along a 2‐million‐year dune chronosequence in the south‐western Australia biodiversity hotspot. Journal of Ecology. https://doi.org/10.1111/j.1365-2745.2012.01962.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.