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Polyvariant Ontogeny in Woodreeds: Novel Models and New Discoveries

机译:Woodreeds中的多变量个体发育:新型模型和新发现

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摘要

Polyvariant ontogeny (PVO) gets a visual expression in the life cycle graphs (LCGs) for Calama-grostis woodreeds as a variety of pathways for individual plants to develop through many of their states, which are distinguishable by the ontogenetic stageand chronological age (in years). PVO is recognized as the basic mechanism of adaptation in local populations of grasses to their environments, while a quantitative measure of adaptation is found by constructing a matrix model for the double-structuredpopulation, calibrating its matrix of vital rates from empirical data, and calculating the dominant eigenvalue X{. This approach encounters an obstacle typical for grasses: while the rates of aging and ontogenetic transitions can be determined from fielddata mainly by the morphology of aboveground parts of the plant, the rates of vegetative propagation can be reliably determined only from digging up the belowground rhizome system, i.e., by destroying the sample plot ("reproductive uncertainty"). Therefore, the former (nondestructive) calibrations of matrix models were, to an extent, subjective, resulting in correspondingly subjective estimations. A novel method to overcome the reproductive uncertainty makes use of the maximization hypothesis: the uncertain rates are such that A., attains its maximal possible value under the given conditions. To test the hypothesis, we have conducted a field study by a new technique with a model species, the woodreed Calamagrostis epigeios (L.) Roth, which vegetatively reproduces in a meadow phytocenosis and a spruce forest clearance. Excavating the whole system of ramets with their rhizomes and analyzing the parent—offspring links in laboratory, we have gained (in addition to the former data on the local populationstructures and ontogenetic transitions) a new kind of data to calculate the status-specific rates of reproduction. The novel calibration method has enabled us to find an exact range of values, i.e., the true quantitative bounds of adaptation for a givenlocal population. Obtained under the reproductive uncertainty and maximality hypothesis, the values of^., have turned out to be close to the upper bounds of the ranges, thus verifying the hypothesis. The study has discovered some generative subsidiary plants that sprout from the rhizomes of maternal ramets without entering the virginal stage. As a result, the LCG is enriched with new reproductive pathways, and there are new (not yet published) situations, in which X] fails in its accuracy as a measuring tool of comparative plant demography. We propose a general method to adjust the adaptation measure in this kind of situation.
机译:多变量个体发育(PVO)在生命周期图(LCG)中以视觉形式表达了卡拉莫-格罗斯蒂斯木芦苇,这是个体植物通过其许多状态发育的多种途径,这可以通过个体发育阶段和年代年龄来区分(以年为单位)。 )。 PVO被公认为是当地草种对环境适应的基本机制,而对适应性的定量测量则是通过为双重结构种群构建矩阵模型,根据经验数据校准其生命率矩阵并计算主导特征值X {。这种方法遇到了一个典型的草类障碍:虽然可以主要通过田间数据通过植物地上部分的形态来确定衰老和遗传发生的速率,但仅通过挖掘地下根茎系统才能可靠地确定营养繁殖的速率。 ,即通过破坏样本图(“生殖不确定性”)。因此,矩阵模型的先前(非破坏性)校准在一定程度上是主观的,从而导致相应的主观估计。一种克服生殖不确定性的新方法,它利用了最大化假设:不确定性率使得A.在给定条件下达到其最大可能值。为了检验该假设,我们使用一种新技术对一种模式物种进行了实地研究,该物种为木本植物Calamagrostis epigeios(L.)Roth,其在草甸植物群落和云杉林中无营养繁殖。挖掘整个分株及其根状茎,并在实验室中分析父母与后代的联系,我们已经获得了一种新的数据(除了有关本地人口结构和个体发育的原始数据),还可以计算出特定种群的发病率。再生产。新颖的校准方法使我们能够找到精确的值范围,即对于给定的本地人口适应的真实定量范围。在生殖不确定性和最大值假设下获得的值已接近范围的上限,从而验证了该假设。该研究发现了一些生成的辅助植物,它们从母体分株的根状茎发芽而未进入原始阶段。结果,LCG充满了新的生殖途径,并且出现了新的(尚未发表)情况,其中X]作为比较植物人口统计学的测量工具的准确性不高。我们提出了一种在这种情况下调整适应措施的通用方法。

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