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首页> 外文期刊>Aquatic Botany >Profiling the below ground biomass of an emergent macrophyte using an adapted ingrowth core method.
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Profiling the below ground biomass of an emergent macrophyte using an adapted ingrowth core method.

机译:使用改良的向内生长核心方法对地下大型植物的地下生物量进行剖析。

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摘要

In the context of our work exploring the role of Sparganium erectum as a physical ecosystem engineer, we aimed to test our hypothesis that the root and rhizome biomass of this species would be largely confined to the uppermost sediment layers, thereby having the effect of reinforcing newly deposited material and facilitating the growth of in-channel macrophyte stands and sediment accumulations. Detailed measurements of the below ground structures of linear emergent macrophytes, in terms of their biomass and architecture, are complicated by difficulties associated with sampling in the highly saturated sediments that these morphotypes typically occupy. In this paper, we describe the development of an adapted ingrowth core method, which allows the extrusion of an undisturbed root-soil matrix from highly saturated environments. The approach combines an ingrowth core, which is commonly used to measure fine-root production in forest topsoil, with an outer casing that facilitates the retention of a sample representative of field conditions, and a laboratory protocol that enables extrusion and measurement of biomass at different depth increments. The new approach enabled detailed depth profiling of S. erectum, and confirmed our hypothesis by demonstrating that root and rhizome biomass was predominantly located in the 10 cm of sediment closest to the sediment-water interface throughout our study.
机译:在我们的工作中,探索直立的石as作为物理生态系统工程师的作用,我们的目的是检验我们的假设,即该物种的根和根茎生物量将主要限制在最上层的沉积层中,从而具有新的强化作用。沉积物,促进河道内大型植物的生长和沉积物的积累。线性新兴大型植物地下结构的详细测量,就其生物量和结构而言,由于这些形态型通常占据的高度饱和沉积物中采样的困难而变得复杂。在本文中,我们描述了一种改良的向内生长核方法的发展,该方法允许从高度饱和的环境中挤出未受干扰的根土基质。该方法结合了通常用于测量森林表层土壤细根生产的向内生长核,与便于保留代表野外条件的样品的外壳以及能够对不同生物量进行挤压和测量的实验室规程深度增量。新方法能够对直立葡萄球菌进行详细的深度剖析,并通过证明在整个研究过程中根和根茎生物量主要位于最接近沉积物-水界面的10 cm沉积物中,从而证实了我们的假设。

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