Storage of water on vegetation under simulated rainfall of varying intensity

被引:170
作者
Keim, R. F.
Skaugset, A. E.
Weiler, M.
机构
[1] Louisiana State Univ, Sch Renewable Nat Resources, LSU AgCtr, Baton Rouge, LA 70803 USA
[2] Oregon State Univ, Dept Forest Engn, Corvallis, OR 97331 USA
[3] Univ British Columbia, Fac Forestry, Vancouver, BC V6T 1Z4, Canada
关键词
canopy storage; rainfall simulation; canopy interception; throughfall; rainfall intensity; forest canopy;
D O I
10.1016/j.advwatres.2005.07.017
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Little is understood about how storage of water on forest canopies varies during rainfall, even though storage changes intensity of throughfall and thus affects a variety of hydrological processes. In this study, laboratory rainfall simulation experiments using varying intensities yielded a better understanding of dynamics of rainfall storage on woody vegetation. Branches of eight species generally retained more water at higher rainfall intensities than at lower intensities, but incremental storage gains decreased as rainfall intensity increased. Leaf area was the best predictor of storage, especially for broadleaved species. Stored water ranged from 0.05 to 1.1 mm effective depth on leaves, depending on species and rainfall intensity. Storage was generally about 0.2 mm greater at rainfall intensity 420 mm h(-1) than at 20 mm h(-1). Needle-leaved branches generally retained more water per leaf area than did branches from broadleaved species, but branches that stored most at lower rainfall intensities tended to accumulate less additional storage at higher intensities. A simple nonlinear model was capable of predicting both magnitude (good model performance) and temporal scale (fair model performance) of storage responses to varying rainfall intensities. We hypothesize a conceptual mechanical model of canopy storage during rainfall that includes the concepts of static and dynamic storage to account for intensity-driven changes in storage. Scaling up observations to the canopy scale using LAI resulted in an estimate of canopy storage that generally agrees with estimates by traditional methods. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码:974 / 986
页数:13
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