首页> 美国卫生研究院文献>Theoretical Biology Medical Modelling >On the suitability of an allometric proxy for nondestructive estimation of average leaf dry weight in eelgrass shoots I: sensitivity analysis and examination of the influences of data quality analysis method and sample size on precision
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On the suitability of an allometric proxy for nondestructive estimation of average leaf dry weight in eelgrass shoots I: sensitivity analysis and examination of the influences of data quality analysis method and sample size on precision

机译:关于异体替代法适合无损估计鳗鱼新芽平均叶干重的研究I:敏感性分析以及数据质量分析方法和样本量对精度影响的检验

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摘要

BackgroundThe effects of current anthropogenic influences on eelgrass (Zostera marina) meadows are noticeable. Eelgrass ecological services grant important benefits for mankind. Preservation of eelgrass meadows include several transplantation methods. Evaluation of establishing success relies on the estimation of standing stock and productivity. Average leaf biomass in shoots is a fundamental component of standing stock. Existing methods of leaf biomass measurement are destructive and time consuming. These assessments could alter shoot density in developing transplants. Allometric methods offer convenient indirect assessments of individual leaf biomass. Aggregation of single leaf projections produce surrogates for average leaf biomass in shoots. Involved parameters are time invariant, then derived proxies yield simplified nondestructive approximations. On spite of time invariance local factors induce relative variability of parameter estimates. This influences accuracy of surrogates. And factors like analysis method, sample size and data quality also impact precision. Besides, scaling projections are sensitive to parameter fluctuation. Thus the suitability of the addressed allometric approximations requires clarification.
机译:背景技术当前的人为影响对鳗草(带状疱疹)草甸的影响是明显的。鳗草的生态服务为人类带来了重要利益。鳗草草甸的保存包括几种移植方法。建立成功的评估取决于对固定存货和生产率的估计。芽中叶片平均生物量是站立种群的基本组成部分。现有的叶片生物量测量方法具有破坏性且耗时。这些评估可能会改变正在发育的移植物中的芽密度。异速生长法提供了对单个叶片生物量的便捷间接评估。单叶投射的聚集产生了芽中平均叶片生物量的替代物。所涉及的参数是时间不变的,然后派生的代理得出简化的非破坏性近似值。尽管时间不变,但局部因素会引起参数估计值的相对变化。这会影响代理的准确性。分析方法,样本量和数据质量等因素也会影响精度。此外,缩放预测对参数波动敏感。因此,需要澄清所提出的立体近似的适用性。

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