Articles | Volume 26, issue 24
https://doi.org/10.5194/hess-26-6289-2022
https://doi.org/10.5194/hess-26-6289-2022
Research article
 | 
14 Dec 2022
Research article |  | 14 Dec 2022

Vegetation optimality explains the convergence of catchments on the Budyko curve

Remko C. Nijzink and Stanislaus J. Schymanski

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Cited articles

Addor, N., Newman, A. J., Mizukami, N., and Clark, M. P.: The CAMELS data set: catchment attributes and meteorology for large-sample studies, Hydrol. Earth Syst. Sci., 21, 5293–5313, https://doi.org/10.5194/hess-21-5293-2017, 2017. a
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration – Guidelines for computing crop water requirements, Irrigation and drainage paper 56, FAO – Food and Agriculture Organization of the United Nations, Rome, ISBN 92-5-104219-5, 1998. a, b, c
Bergström, S.: Development and Application of a Conceptual Runoff Model for Scandinavian Catchments, Tech. rep., SMHI, SMHI Rep. RHO 7, https://www.smhi.se/polopoly_fs/1.163091!/RHO_7 Development and application of a conceptual runoff model for Scandinavian catchments.pdf (last access: 1 December 2022), 1976. a
Beringer, J., Hutley, L. B., Tapper, N. J., and Cernusak, L. A.: Savanna fires and their impact on net ecosystem productivity in North Australia, Glob. Change Biol., 13, 990–1004, https://doi.org/10.1111/j.1365-2486.2007.01334.x, 2007. a
Budyko, M.: Climate and Life, Academic Press, New York and London, edited by: Miller, D. H., ISBN 9780121394509, 1974. a, b, c
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Short summary
Most catchments plot close to the empirical Budyko curve, which allows for estimating the long-term mean annual evaporation and runoff. We found that a model that optimizes vegetation properties in response to changes in precipitation leads it to converge to a single curve. In contrast, models that assume no changes in vegetation start to deviate from a single curve. This implies that vegetation has a stabilizing role, bringing catchments back to equilibrium after changes in climate.