摘要
We examined stable isotope signals of precipitation, soil water, and xylem water and ran the multi-source linear mixing model (IsoSource) to determine water uptake depths and estimate proportional contribution of possible water pools to the water use of Mongolian pine (Pinus sylvestris var. mongolica) plantation in southeast Horqin Sandy Land. We also examined variations of the water use by Mongolian pine trees before and after a heavy precipitation event. The closeness of isotopic composition between xylem water and potential water pools presented that most of water uptake by the trees occurred in the depth of below 20 cm soil (up to 80 cm in this study). Estimate from the IsoSource model agrees well with observation, and the model yielded that over 60% of the water was derived from 20–80 cm soil layer under relatively higher soil moisture conditions, contribution from much deeper soil depth may increase when the soil in this layer became dry. The contribution from the groundwater was very low since water table was much deeper than rooting depth of the trees. Isotopic signals of xylem water of Mongolian pine trees before and after a heavy precipitation of 14.4 mm on July 13 in 2009 exhibited that the trees could sense and use recent rain-charged soil water at the upper 20 cm soil layer 36 hours after the rain, and this contribution decreased rapidly in the following 24 hours. The ability of accessing different water pools of Mongolian pine trees under various soil moisture conditions is likely a good indicator of their adaptability to dry habitats in sandy lands.
利用稳定同位素技术测定降水、土壤水、植物茎干水的同位素组成,结合多元线性混合模型(IsoSource)确定科尔沁沙地东南部樟子松人工林内樟子松的根系吸水范围以及各水源的水分贡献率。通过连续观测强降水事件前后樟子松水分来源的变化,探究降水对樟子松水分利用的影响。结果表明樟子松茎干水与20cm以下土层的土壤水同位素组成最为接近,樟子松的水分吸收主要集中在这一层(最大取样深度80cm)。IsoSource模拟结果与观测结果一致,土壤水分条件较好时,大约60%以上的水分来自于20-80cm土层;当这一深度土壤含水量降低时,樟子松将会更多地依赖更深层的土壤水分。樟子松根系分布的最大深度远小于地下水位,因此很难利用到地下水。2009年7月13日14.4mm的降水前后,樟子松茎干水同位素组成的变化表明,降水结束后36小时樟子松可以感应到降水对表层20cm土壤水分的补充,这一土层的水分贡献率在接下来的24小时内迅速降低。不同水分条件下水分来源的多样性表明樟子松能较好地适应沙地生境。
基金
the National Science Foundation of China (30770339)