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Root niche separation can explain avoidance of seasonal drought stress and vulnerability of overstory trees to extended drought in a mature Amazonian forest

机译:根生生态位的分离可以解释避免季节性干旱胁迫以及在成熟的亚马逊森林中过高的树木易受长期干旱的影响

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[1] Large areas of Amazonian evergreen forest experience seasonal droughts extending for three or more months, yet show maximum rates of photosynthesis and evapotranspiration during dry intervals. This apparent resilience is belied by disproportionate mortality of the large trees in manipulations that reduce wet season rainfall, occurring after 2-3 years of treatment. The goal of this study is to characterize the mechanisms that produce these contrasting ecosystem responses. A mechanistic model is developed based on the ecohydrological framework of TEST (Triangulated Irregular Network)-based Real Time Integrated Basin Simulator + Vegetation Generator for Interactive Evolution (tRIBS+VEGGIE). The model is used to test the roles of deep roots and soil capillary flux to provide water to the forest during the dry season. Also examined is the importance of "root niche separation," in which roots of overstory trees extend to depth, where during the dry season they use water stored from wet season precipitation, while roots of understory trees are concentrated in shallow layers that access dry season precipitation directly. Observational data from the Tapajos National Forest, Brazil, were used as meteorological forcing and provided comprehensive observational constraints on the model. Results strongly suggest that deep roots with root niche separation adaptations explain both the observed resilience during seasonal drought and the vulnerability of canopy-dominant trees to extended deficits of wet season rainfall. These mechanisms appear to provide an adaptive strategy that enhances productivity of the largest trees in the face of their disproportionate heat loads and water demand in the dry season. A sensitivity analysis exploring how wet season rainfall affects the stability of the rainforest system is presented.
机译:[1]大面积的亚马逊常绿森林经历了三个或三个月以上的季节性干旱,但在干旱间隔期间却表现出最大的光合作用和蒸散速率。在处理2-3年后发生的减少雨季降雨的操作中,大树的死亡率过高掩盖了这种明显的恢复力。这项研究的目的是表征产生这些不同的生态系统反应的机制。基于TEST(不规则三角网)的生态水文框架,开发了一种机械模型,该模型基于实时综合盆地模拟器+植被生成器(用于交互式演化)(tRIBS + VEGGIE)。该模型用于测试深根和土壤毛细管通量在干旱季节为森林提供水的作用。还研究了“根系生态位分离”的重要性,在这种情况下,上层林木的根部延伸到深处,在干燥季节,它们利用湿季降水中储存的水,而下层林木的根部则集中在进入干燥季节的浅层中直接沉淀。来自巴西塔帕霍斯国家森林的观测数据被用作气象强迫,并提供了对该模型的综合观测约束。结果强烈表明,具有根生态位分离适应性的深根既可以解释季节性干旱期间观察到的弹性,也可以解释冠层优势树木对湿季降雨持续不足的脆弱性。这些机制似乎提供了一种自适应策略,可以在干旱季节面对最大的树木热负荷和需水量时提高它们的生产力。提出了敏感性分析,探讨了雨季降雨如何影响雨林系统的稳定性。

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  • 来源
    《Water resources research》 |2012年第12期|W12507.1-W12507.21|共21页
  • 作者单位

    Department of Civil and Environmental Engineering, University of Michigan, 1351 Beal Ave., 105 EWRE, Ann Arbor, MI 48109, USA,Center for the Environment, Harvard University, Cambridge, Massachusetts, USA;

    Department of Earth and Planetary Sciences, Harvard University, Cambridge, Massachusetts, USA,Department of Geography and Environment, Boston University, Boston, Massachusetts, USA;

    Department of Earth and Planetary Sciences, Harvard University, Cambridge, Massachusetts, USA;

    Department of Earth and Planetary Sciences, Harvard University, Cambridge, Massachusetts, USA;

    Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona, USA;

    Brazil Enterprise for Agricultural Research, EMBRAPA Amazonia Oriental, Santarem, Para, Brazil.;

    Laboratorio de Ecologia Isotopica, University of Sao Paulo, Sao Paulo, Brazil.;

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