Solana-Arellano Elena, Echavarria-Heras Hector, Gallegos Martinez Margarita
Centro de Investigación Científicas y, Educación Superior de Ensenada Baja, California, México.
Math Med Biol. 2003 Dec;20(4):367-75. doi: 10.1093/imammb/20.4.367.
The application of special scanning technologies in plant population studies makes it now possible to offer reliable indirect estimations of Leaf Area Index (LAI). This has stimulated the adaptation of related biomass assessment methods and has provided a way to simplify tedious laboratory procedures whilst avoiding destructive sampling. Particularly, above-ground biomass for Zostera marina L. has been expressed depending linearly on Leaf Area Index. Nevertheless, we demonstrate that this approach produces biased estimations. It is also shown that expressing leaf dry weight by means of an allometric function of length and width can eliminate bias. Furthermore, the dominant term of the associated power series expansion becomes the aforementioned linear representation in terms of Leaf Area Index. The consistency of the estimation methods derived from the allometric model was tested using data from a Z. marina meadow. Consequently, the improved method is expected to become a valuable tool for the reduction of the uncertainty associated with the estimation of above-ground biomass through the use of Leaf Area Index.
特殊扫描技术在植物种群研究中的应用使得现在能够提供可靠的叶面积指数(LAI)间接估计值。这刺激了相关生物量评估方法的适应性调整,并提供了一种简化繁琐实验室程序同时避免破坏性采样的方法。特别是,大叶藻(Zostera marina L.)的地上生物量已被表示为与叶面积指数呈线性关系。然而,我们证明这种方法会产生有偏差的估计。还表明,通过长度和宽度的异速生长函数来表示叶片干重可以消除偏差。此外,相关幂级数展开的主导项就叶面积指数而言变成了上述线性表示。使用来自大叶藻草甸的数据测试了从异速生长模型推导的估计方法的一致性。因此,预计改进后的方法将成为通过使用叶面积指数来减少与地上生物量估计相关的不确定性的有价值工具。