Water cycling in a Bornean tropical rain forest under current and projected precipitation scenarios

被引:49
|
作者
Kumagai, T
Katul, GG
Saitoh, TM
Sato, Y
Manfroi, OJ
Morooka, T
Ichie, T
Kuraji, K
Suzuki, M
Porporato, A
机构
[1] Kyushu Univ, Univ Forest Miyazaki, Miyazaki 8830402, Japan
[2] Hokkaido Univ, Field Sci Ctr No Biosphere, Sapporo, Hokkaido 0600808, Japan
[3] Duke Univ, Nicholas Sch Environm, Durham, NC 27708 USA
[4] Kyushu Univ Forest, Res Inst, Fukuoka 8112307, Japan
[5] Univ Tokyo, Grad Sch Agr & Life Sci, Tokyo 1138654, Japan
[6] Hokkaido Univ, Field Sci Ctr No Biosphere, Sapporo, Hokkaido 0600808, Japan
[7] Duke Univ, Dept Civil & Environm Engn, Durham, NC 27708 USA
[8] Politecn Torino, Dipartimento Idraul Trasporti & Infrastrutture Ci, Turin, Italy
关键词
eddy covariance; evapotranspiration; soil moisture; stochastic process; tropical rainforest; water cycling;
D O I
10.1029/2003WR002226
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 (T-r), interception (I-c), 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.
引用
收藏
页码:W011041 / W0110412
页数:12
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