The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Balancing the costs of carbon gain and water transport: testing a new theoretical framework for plant functional ecology
Abstract
A novel framework is presented for the analysis of ecophysiological field measurements and modelling. The hypothesis ‘leaves minimise the summed unit costs of transpiration and carboxylation’ predicts leaf‐internal/ambient CO2 ratios (ci/ca) and slopes of maximum carboxylation rate (Vcmax) or leaf nitrogen (Narea) vs. stomatal conductance. Analysis of data on woody species from contrasting climates (cold‐hot, dry‐wet) yielded steeper slopes and lower mean ci/ca ratios at the dry or cold sites than at the wet or hot sites. High atmospheric vapour pressure deficit implies low ci/ca in dry climates. High water viscosity (more costly transport) and low photorespiration (less costly photosynthesis) imply low ci/ca in cold climates. Observed site‐mean ci/ca shifts are predicted quantitatively for temperature contrasts (by photorespiration plus viscosity effects) and approximately for aridity contrasts. The theory explains the dependency of ci/ca ratios on temperature and vapour pressure deficit, and observed relationships of leaf δ 13 C and Narea to aridity.
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Cites
The worldwide leaf economics spectrum
Wright, I. J., Reich, P. B., Westoby, M., Ackerly, D. D., Baruch, Z., Bongers, F., Cavender-Bares, J., Chapin, T., Cornelissen, J. H. C., Diemer, M., et al. (2004) · Nature · doi:10.1038/nature02403 · Cited by 9,021
Self-citationA biochemical model of photosynthetic CO2 assimilation in leaves of C3 species
Farquhar, G. D., von Caemmerer, S., & Berry, J. A. (1980) · Planta · doi:10.1007/bf00386231 · Cited by 8,796
Cited by
Increased atmospheric vapor pressure deficit reduces global vegetation growth
Yuan, W., Zheng, Y., Piao, S., Ciais, P., Lombardozzi, D., Wang, Y., Ryu, Y., Chen, G., Dong, W., Hu, Z., et al. (2019) · Science Advances · doi:10.1126/sciadv.aax1396 · Cited by 1,762
Recent pause in the growth rate of atmospheric CO2 due to enhanced terrestrial carbon uptake
Keenan, T. F., Prentice, I. C., Canadell, J. G., Williams, C. A., Wang, H., Raupach, M., & Collatz, G. J. (2016) · Nature Communications · doi:10.1038/ncomms13428 · Cited by 474
Self-citationReduced streamflow in water-stressed climates consistent with CO2 effects on vegetation
Ukkola, A. M., Prentice, I. C., Keenan, T. F., van Dijk, A. I. J. M., Viney, N. R., Myneni, R. B., & Bi, J. (2016) · Nature Climate Change · doi:10.1038/nclimate2831 · Cited by 359
Self-citationA constraint on historic growth in global photosynthesis due to rising CO2
Keenan, T. F., Luo, X., Stocker, B. D., De Kauwe, M. G., Medlyn, B. E., Prentice, I. C., Smith, N. G., Terrer, C., Wang, H., Zhang, Y., et al. (2023) · Nature Climate Change · doi:10.1038/s41558-023-01867-2 · Cited by 138
Self-citationKang, Y., Bassiouni, M., Gaber, M., Lu, X., & Keenan, T. F. (2025) · Earth System Science Data · doi:10.5194/essd-17-3009-2025 · Cited by 22
Metadata
- Authors
- Prentice, I. C., Dong, N., Gleason, S. M., Maire, V., & Wright, I. J.
- Venue
- Ecology Letters
- Publisher
- Wiley
- Published
- 2013-11-11
- Volume
- 17
- Issue
- 1
- Pages
- 82-91
- ISSN
- 1461-023X (ISSN-L)
- 1461-0248
- OpenAlex
- W1997740487
- Cited by
- 526
- References
- 2
- FWCI
- 13.60
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Balancing the costs of carbon gain and water transport: testing a new theoretical framework for plant functional ecology. https://app.cochat.ai/papers/10.1111/ele.12211
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- Prentice, I. C., Dong, N., Gleason, S. M., Maire, V., & Wright, I. J. (2014). Balancing the costs of carbon gain and water transport: testing a new theoretical framework for plant functional ecology. Ecology Letters. https://doi.org/10.1111/ele.12211
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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.
