Water cycling in a Bornean tropical rain forest under current and projected precipitation scenarios
Water cycling in a Bornean tropical rain forest under current and projected precipitation scenarios
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DOI：
10.1029/2003wr002226
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发表时间：
2004-01
影响因子：
5.4
通讯作者：
T. Kumagai;G. Katul;T. Saitoh;Yoshinobu Sato;O. Manfroi;T. Morooka;T. Ichie;K. Kuraji;Masakazu Suzuki;A. Porporato
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文献类型：
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作者：
T. Kumagai;G. Katul;T. Saitoh;Yoshinobu Sato;O. Manfroi;T. Morooka;T. Ichie;K. Kuraji;Masakazu Suzuki;A. Porporato
就年生产力和水循环而言，东南亚热带雨林是最重要的生物群落之一。通过结合野外测量、全球气候模式（GCM）模拟输出和简化的水文模型，研究了预估的降水变化如何改变它们的水文预算。建立了以降雨统计为主要强迫项的简化水文模型。该分析的一个主要新颖之处在于，增加（或减少）降水对增加（或减少）云量的影响，从而明确考虑了蒸散发。该模型通过在马来西亚沙捞越热带雨林进行的实地测量进行了验证。结果表明，该模型再现了土壤含水量(s)、蒸腾（Tr）、截留（Ic）和渗漏损失(Q)的概率密度函数。基于该模式和GCM预估的降水统计变化，Ic、Q和s的概率分布在季节时间尺度上有明显的变化。Tr的概率分布受预估降水变化的影响最小。
Southeastern Asian tropical rain forests are among the most important biomes in terms of annual productivity and water cycling. How their hydrologic budgets are altered by projected shifts in precipitation is examined using a combination of field measurements, global climate model (GCM) simulation output, and a simplified hydrologic model. The simplified hydrologic model is developed with its primary forcing term being rainfall statistics. A main novelty in this analysis is that the effects of increased (or decreased) precipitation on increased (or decreased) cloud cover and hence evapotranspiration is explicitly considered. The model is validated against field measurements conducted in a tropical rain forest in Sarawak, Malaysia. It is demonstrated that the model reproduces the probability density function of soil moisture content (s), transpiration (Tr), interception (Ic), and leakage loss (Q). On the basis of this model and projected shifts in precipitation statistics by GCM the probability distribution of Ic, Q and, to a lesser extent, s varied appreciably at seasonal timescales. The probability distribution of Tr was least impacted by projected shifts in precipitation.