The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
On the importance of including vegetation dynamics in Budyko's hydrological model
Open accessAbstract
Abstract. The Budyko curve describes the patterns observed between between climate, evapotranspiration and run-off and has proven to be a useful model for predicting catchment energy and water balances. In this paper we review the Budyko curve's underlying framework and, based on the literature, present an argument for why it is important to include vegetation dynamics into the framework for some purposes. The Budyko framework assumes catchments are at steady-state and are driven by the macro-climate, two conditions dependent on the scales of application, such that the framework's reliability is greatest when applied using long-term averages (≫1 year) and to large catchments (>10 000 km2). At these scales previous experience has shown that the hydrological role of vegetation does not need to be explicitly considered within the framework. By demonstrating how dynamics in the leaf area, photosynthetic capacity and rooting depth of vegetation affect not only annual and seasonal vegetation water use, but also steady-state conditions, we argue that it is necessary to explicitly include vegetation dynamics into the Budyko framework before it is applied at small scales. Such adaptations would extend the framework not only to applications at small timescales and/or small catchments but to operational activities relating to vegetation and water management.
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Cites
Proceedings of the National Academy of Sciences of the United States of America
Dowling, J. E., & Wald, G. (2009) · Nutrition Reviews · doi:10.1111/j.1753-4887.1981.tb06752.x · Cited by 17,893
Oke, T. R. (2002) · Routledge eBooks · doi:10.4324/9780203407219 · Cited by 5,219
On the relation between NDVI, fractional vegetation cover, and leaf area index
Carlson, T. N., & Ripley, D. A. (1997) · Remote Sensing of Environment · doi:10.1016/s0034-4257(97)00104-1 · Cited by 3,125
Response of mean annual evapotranspiration to vegetation changes at catchment scale
Zhang, L., Dawes, W. R., & Walker, G. R. (2001) · Water Resources Research · doi:10.1029/2000wr900325 · Cited by 2,571
From tropics to tundra: Global convergence in plant functioning
Reich, P. B., Walters, M. B., & Ellsworth, D. S. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.25.13730 · Cited by 2,423
Model for predicting evaporation from a row crop with incomplete cover
Ritchie, J. T. (1972) · Water Resources Research · doi:10.1029/wr008i005p01204 · Cited by 2,240
Climate and Plant Distribution
Eyre, S. R., & Woodward, F. I. (1988) · The Geographical Journal · doi:10.2307/633873 · Cited by 1,823
Marlatt, W. E., Budyko, M. I., & Miller, D. H. (1975) · Journal of Range Management · doi:10.2307/3897455 · Cited by 1,619
Physiological Plant Ecology: Ecophysiology and Stress Physiology of Functional Groups
Larcher, W. (2012) · Cited by 1,551
Stomatal conductance correlates with photosynthetic capacity
Wong, S. C., Cowan, I. R., & Farquhar, G. D. (1979) · Nature · doi:10.1038/282424a0 · Cited by 1,406
Cited by
Changes in evapotranspiration following wildfire in resprouting eucalypt forests
Nolan, R. H., Lane, P. N. J., Benyon, R. G., Bradstock, R. A., & Mitchell, P. J. (2014) · Ecohydrology · doi:10.1002/eco.1463 · Cited by 92
Metadata
- Authors
- Donohue, R. J., Roderick, M. L., & McVicar, T. R.
- Venue
- Hydrology and Earth System Sciences
- Publisher
- Copernicus GmbH
- Published
- 2007-03-13
- Volume
- 11
- Issue
- 2
- Pages
- 983-995
- ISSN
- 1027-5606 (ISSN-L)
- 1607-7938
- OpenAlex
- W2126800465
- Cited by
- 561
- References
- 62
- FWCI
- 19.98
- Type
- journal article
- Language
- en
- Open access
- gold
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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.