In the areas with seasonal drought, water is the key factor affecting plant growth and development. Based on long-term continuous observation data, it is of great significance to explore plant water use patterns for vegetation construction in areas with seasonal drought. Taking Platycladus orientalis in Beijing mountainous area as the research object, stable hydrogen and oxygen isotope technique was applied to measure the isotopic composition of water from the soil, plant branches, and precipitation from 2012 to 2017. The relative contribution of soil water from different soil layers to P. orientalis was quantified by the MixSIAR model. The results showed that soil water in the deep layer (40-100 cm) was more stable than that in the shallow layer (0-40 cm). The variation of soil water content and water isotope values in the shallow layer were more obvious due to the effects of evaporation and precipitation. P. orientalis mainly absorbed stable deep soil water, with a relative contribution rate of 55.7%. In the dry season, with the decreases of soil water content, the absorption depth of plants to soil water gradually shifted to the shallow layer. Under conditions of moist, natural condition, mild drought and moderate drought, the relative contribution rates of deep soil water were 59.8%, 57.9%, 54.6%, 52.7%, respectively. To maintain higher transpiration in the wet season, P. orientalis relied more on deep soil water under mild and moderate drought conditions than in the dry season. Under the conditions of moist, natural condition, mild drought and moderate drought, the relative contribution rates of deep soil water were 58.9%, 57.6%, 56.4%, and 57.1%, respectively. The adaptive characteristic of P. orientalis, which adjusts the depth of root water absorption according to soil moisture condition, is of great significance for tree species selection in ecological afforestation and long-term management planning in areas with seasonal drought.
在季节性干旱地区,水分是影响植物生长发育的关键核心因子。基于长期连续观测数据探究植物水分利用模式,对于季节性干旱地区植被建设具有重要意义。本研究以北京山区侧柏人工林为对象,利用稳定氢氧同位素技术测定了2012—2017年间土壤、植物枝条和降水同位素组成,通过MixSIAR模型定量分析侧柏对不同土层土壤水分的贡献率。结果表明: 深层(40～100 cm)土壤水较浅层(0～40 cm)土壤水稳定,受蒸发和降水的影响,浅层土壤含水量和水同位素值变化幅度较深层明显;侧柏主要吸收利用稳定的深层土壤水,贡献率为55.7%。在旱季,随着土壤水分含量的降低,植物对土壤水分的吸收深度逐渐向浅层转移;在水量充沛、自然适宜、轻度干旱、中度干旱条件下,深层土壤水的贡献率依次为59.8%、57.9%、54.6%、52.7%。在轻度和中度干旱条件下,雨季侧柏对深层土壤水的依赖程度高于旱季,以维持较大的蒸腾作用;在水量充沛、自然适宜、轻度干旱、中度干旱条件下,深层土壤水贡献率分别为58.9%、57.6%、56.4%、57.1%。侧柏依据土壤水分条件调整吸水深度的自适应特性,对季节性干旱地区生态造林树种的选择和长期管理规划具有重要意义。.
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