![]() ![]() J Hydrol 214:103–110Ĭheng L, Zhang L, Wang Y-P, Yu Q, Eamus D, O’Grady A (2014) Impacts of elevated CO 2, climate change and their interactions on water budgets in four different catchments in Australia. J Arid Environ 58:181–202Ĭarlyle-Moses DE, Price AG (1999) An evaluation of the Gash interception model in a northern hardwood stand. Agric For Meteorol 213:77–90Ĭarlylemoses DE (2004) Throughfall, stemflow, and canopy interception loss fluxes in a semi-arid Sierra Madre Oriental matorral community. J Plant Nutr Soil Sci 171:210–219Ĭáceres MD, Martínez-Vilalta J, Coll L, Llorens P, Casals P, Poyatos R, Pausas JG, Brotons L (2015) Coupling a water balance model with forest inventory data to predict drought stress: the role of forest structural changes vs. Rev Geophys 47:RG1005īrueck H (2008) Effects of nitrogen supply on water-use efficiency of higher plants. New York, NY: Cambridge University Pressīorgogno F, D’Odorico P, Laio F, Ridolfi L (2009) Mathematical models of vegetation pattern formation in ecohydrology. Rangelands 20:17–24īonan GB (2002) Ecological climatology: concepts and applications. J Hydrometeorol 5:823–830īartos DL, Campbell J (1998) Decline of quaking aspen in the Interior West: examples from Utah. ![]() Mon Weather Rev 117:2113–2136īarlage M, Zeng X (2004) The effects of observed fractional vegetation cover on the land surface climatology of the community land model. J Plant Ecol 4:3–22Īvissar R (1989) A parameterization of heterogeneous land surfaces for atmospheric numerical models and its impact on regional meteorology. Simplifying descriptions of each process in models is important moreover, optimality-based models can provide novel insights that would allow prediction of plant responses to changes in soil moisture dynamics due to environment fluctuations.Īsbjornsen H, Goldsmith GR, Alvaradobarrientos MS, Rebel K, Osch FPV, Rietkerk M, Chen J, Gotsch S, Tobón C, Geissert DR (2011) Ecohydrological advances and applications in plant–water relations research: a review. Soil moisture models are important tools for predicting changes in soil moisture–plant interactions. Long-term controlled experiments examining soil moisture dynamics and a meta-analysis of the results are useful for elucidating and quantifying the soil moisture–plant interactions. Clarifying the mechanisms of soil moisture–plant interactions can aid in the development of soil moisture models, especially those comprising detailed process representation and feedback. vapour pressure deficit) are closely linked in transitional soil moisture regimes (ranging from dry to wet soil conditions), the identification of which is critical for quantifying these relationships under different soil moisture conditions. Soil moisture, evapotranspiration and atmospheric factors (e.g. Plants also affect soil moisture dynamics through its involvement in the water cycle. ![]() The status and distribution of soil moisture affect ecohydrological processes such as runoff, infiltration and evaporation and plant morphology and function (e.g. Approaches for investigating soil moisture–plant interactions are also reviewed, with emphasis on their ability to predict plant/ecosystem responses to soil moisture variations under environment change. Here we review the current state of knowledge regarding soil moisture–plant interactions and the ecohydrological effects of soil moisture dynamics. ![]() Soil moisture is a key ecohydrological variable in the soil–plant–atmosphere systems understanding soil moisture–plant interactions is at the core of ecohydrology research. ![]()
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