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首页> 外文期刊>Frontiers in Plant Science >Multi-Dimensional Plant Element Stoichiometry—Looking Beyond Carbon, Nitrogen, and Phosphorus
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Multi-Dimensional Plant Element Stoichiometry—Looking Beyond Carbon, Nitrogen, and Phosphorus

机译:多维植物元素化学计量超越碳,氮和磷

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Nutrient elements are important for plant growth. Element stoichiometry considers the balance between different nutrients and how this balance is affected by the environment. So far, focus of plant stoichiometry has mainly been on the three elements carbon (C), nitrogen (N), and phosphorus (P), but many additional elements are essential for proper plant growth. Our overall aim is to test the scaling relations of various additional elements (K, Ca, Mg, S, Cu, Zn, Fe, Mn), by using ten data sets from a range of plant functional types and environmental conditions. To simultaneously handle more than one element, we define a stoichiometric niche volume as the volume of an abstract multidimensional shape in n dimensions, with the n sides of this shape defined by the plant properties in question, here their element concentrations. Thus, a stoichiometric niche volume is here defined as the product of element concentrations. The volumes of N and P ( V _(NP) ) are used as the basis, and we investigate how the volume of other elements ( V _(Oth) ) scales with respect to V _(NP)? with the intention to explore if the concentrations of other elements increase faster (scaling exponent & 1) or slower (&1) than the concentrations of N and P. For example, scaling exponents &1 suggest that favorable conditions for plant growth, i.e., environments rich in N and P, may require proportionally higher uptake of other essential elements than poor conditions. We show that the scaling exponent is rather insensitive to environmental conditions or plant species, and ranges from 0.900 to 2.479 (average 1.58) in nine out of ten data sets. For single elements, Mg has the smallest scaling exponent (0.031) and Mn the largest (2.147). Comparison between laboratory determined stoichiometric relations and field observations suggest that element uptake in field conditions often exceeds the minimal physiological requirements. The results provide evidence for the view that the scaling relations previously reported for N and P can be extended to other elements; and that N and P are the driving elements in plant stoichiometric relations. The stoichiometric niche volumes defined here could be used to predict plant performances in different environments.
机译:营养素对植物生长很重要。元素化学计量考虑了不同营养素之间的平衡以及环境如何受环境的影响。到目前为止,植物化学计量的重点主要是在三个元素碳(c),氮(n)和磷(p)上,但许多额外的元素对于适当的植物生长至关重要。我们的总体目标是通过使用来自一系列植物功能类型和环境条件的10个数据集来测试各种附加元素(K,CA,Mg,S,Cu,Zn,Fe,Mn)的缩放关系。为了同时处理多个元素,我们将化学计量的利基体积定义为N尺寸的抽象多维形状的体积,该形状的N侧由所讨论的植物特性定义,这里是它们的元素浓度。因此,这里是化学计量的乳蛋白体积定义为元素浓度的产物。使用n和p(v _(np))作为基础,我们研究了关于v _(np)的其他元素(v _(s))的体积如何缩放?有意探索其他元素的浓度(缩放指数& 1)或较慢的(& 1)而不是n和p的浓度。例如,缩放指数& 1表明植物生长的有利条件,即富含N和P的环境,可能需要比较差的条件比例地增加其他基本要素。我们表明,缩放指数对环境条件或植物物种相当不敏感,其范围为10个数据集中的0.900至2.479(平均1.58)。对于单个元素,MG具有最小的缩放指数(0.031)和MN最大(2.147)。实验室确定的化学计量关系与现场观测之间的比较表明,现场条件的元素吸收通常超过了最小的生理需求。结果提供了证据表明,以至于先前报告的N和P先前的缩放关系可以扩展到其他元素;并且N和P是植物化学计量关系中的驱动元件。这里定义的化学计量的核心体积可用于预测不同环境中的植物性能。

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