The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Soil Water Balance and Ecosystem Response to Climate Change
Abstract
Some essential features of the terrestrial hydrologic cycle and ecosystem response are singled out by confronting empirical observations of the soil water balance of different ecosystems with the results of a stochastic model of soil moisture dynamics. The simplified framework analytically describes how hydroclimatic variability (especially the frequency and amount of rainfall events) concurs with soil and plant characteristics in producing the soil moisture dynamics that in turn impact vegetation conditions. The results of the model extend and help interpret the classical curve of Budyko, which relates evapotranspiration losses to a dryness index, describing the partitioning of precipitation into evapotranspiration, runoff, and deep infiltration. They also provide a general classification of soil water balance of the world ecosystems based on two governing dimensionless groups summarizing the climate, soil, and vegetation conditions. The subsequent analysis of the links among soil moisture dynamics, plant water stress, and carbon assimilation offers an interpretation of recent manipulative field experiments on ecosystem response to shifts in the rainfall regime, showing that plant carbon assimilation crucially depends not only on the total rainfall during the growing season but also on the intermittency and magnitude of the rainfall events.
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Cites
Handbook of Mathematical Functions
McQuarrie, D. A. (1966) · American Journal of Physics · doi:10.1119/1.1972842 · Cited by 40,433
Climate Extremes: Observations, Modeling, and Impacts
Easterling, D. R., Meehl, G. A., Parmesan, C., Changnon, S. A., Karl, T. R., & Mearns, L. O. (2000) · Science · doi:10.1126/science.289.5487.2068 · Cited by 4,867
Desert Ecosystems: Environment and Producers
Noy-Meir, I. (1973) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.es.04.110173.000325 · Cited by 3,459
Larcher, W. (1980) · Springer eBooks · doi:10.1007/978-3-642-96545-6 · Cited by 3,038
Constraints on future changes in climate and the hydrologic cycle
Allen, M. R., & Ingram, W. J. (2002) · Nature · doi:10.1038/nature01092 · Cited by 3,009
Increasing risk of great floods in a changing climate
Milly, P. C. D., Wetherald, R. T., Dunne, K. A., & Delworth, T. L. (2002) · Nature · doi:10.1038/415514a · Cited by 1,758
Larcher, W. (2003) · Springer eBooks · doi:10.1007/978-3-662-05214-3 · Cited by 1,719
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Rainfall Variability, Carbon Cycling, and Plant Species Diversity in a Mesic Grassland
Knapp, A. K., Fay, P. A., Blair, J. M., Collins, S. L., Smith, M. D., Carlisle, J. D., Harper, C. W., Danner, B. T., Lett, M. S., & McCarron, J. K. (2002) · Science · doi:10.1126/science.1076347 · Cited by 1,152
Cited by
Consequences of More Extreme Precipitation Regimes for Terrestrial Ecosystems
Knapp, A. K., Beier, C., Briske, D. D., Classen, A. T., Luo, Y., Reichstein, M., Smith, M. D., Smith, S. D., Bell, J. E., Fay, P. A., et al. (2008) · BioScience · doi:10.1641/b580908 · Cited by 1,250
On the importance of including vegetation dynamics in Budyko's hydrological model
Donohue, R. J., Roderick, M. L., & McVicar, T. R. (2007) · Hydrology and Earth System Sciences · doi:10.5194/hess-11-983-2007 · Cited by 561
An ecohydrological model of malaria outbreaks
Montosi, E., Manzoni, S., Porporato, A., & Montanari, A. (2012) · Hydrology and Earth System Sciences · doi:10.5194/hess-16-2759-2012 · Cited by 33
Self-citation
Metadata
- Authors
- Porporato, A., Daly, E., & Rodriguez‐Iturbe, I.
- Venue
- The American Naturalist
- Publisher
- University of Chicago Press
- Published
- 2004-11
- Volume
- 164
- Issue
- 5
- Pages
- 625-632
- ISSN
- 0003-0147 (ISSN-L)
- 1537-5323
- OpenAlex
- W2164361769
- Cited by
- 677
- References
- 24
- FWCI
- 12.81
- Type
- journal article
- Language
- en
- Open access
- closed
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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.