Soil Water Balance and Ecosystem Response to Climate Change

By Amilcare Porporato, E. Daly, I. Rodríguez‐Iturbe. American Naturalist, 2004

697 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/52f08819c907b77adc76e017f52bc7da20ff2871

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Citations in the corpus

A vertically extended stochastic model of soil moisture in the root zone (2006, methodology): “Linear and nonlinear functions have been used to represent r(s): in the first case r(s) reads [see Porporato et al., 2004; Rodriguez-Iturbe and Porporato, 2005]”
Probabilistic characterization of base flows in river basins: Roles of soil, vegetation, and geomorphology (2007, background): “…Porporato et al., 2004], increasing from 0 at the wilting point, swi, to a maximum rate, ETi [LT 1], when soil moisture is equal to si, which is a critical soil moisture level in the subbasin i, typically between field capacity and saturation [e.g., Porporato et al., 2004; Botter et al., 2007].”
Comparative study of ecohydrological streamflow probability distributions (2010, background): “[10] Assuming that the deeper soil regions receiving the water pulses percolating from the near‐surface root zone behave, in the most general condition, as nonlinear reservoir (i.e., Q = r(W), r being a nonlinear function of the storage W) [e.g., Amorocho and Orlob, 1961; Brutsaert and Nieber, 1977;”
Analytical derivation of the Budyko curve based on rainfall characteristics and a simple evaporation model (2009, methodology): “Ea Pa 1⁄4 1 f g g f 1 exp g G g f ð Þ G g f;g ð Þ Porporato et al. [2004]”
What makes Darwinian hydrology "Darwinian"? Asking a different kind of question about landscapes (2014, methodology): “This curve has been examined by a number of modeling and observational studies (Milly, 1994; Zhang et al., 2001; Atkinson, 2002; Farmer et al., 2003; Porporato et al., 2004; Donohue et al., 2007; Yokoo et al., 2008; Gentine et al., 2012; Troch et al., 2013) that have elucidated the first-order…”
The future of hydrology: An evolving science for a changing world (2010, background): “…for learning from existing and readily available geomorphologic and vegetation patterns now exists, which can be used to predict likely future evolutionary changes [Porporato et al., 2004; Istanbulluoglu, 2009b] and their ecosystem impacts [e.g., Paola et al., 2006; Rodriguez‐Iturbe et al., 2009].”
Soil heterogeneity buffers community response to climate change in species‐rich grassland (2011, background): “Our expectation was that shallow microsites would experience the greatest microenvironmental changes with climate manipulation, due to the role soil depth plays in buffering temporal variation in moisture and nutrient availability (Grime & Curtis, 1976; Porporato et al., 2004).”
Surface soil moisture quantification and validation based on hyperspectral data and field measurements (2008, background): “Predicted changes in rainfall regime as a result of global warming may affect soil moisture, surface water balance, and deteriorate ecosystem functioning [3].”