大叶藻芽叶平均干重无损估测的异速生长代理的适用性ⅰ:敏感性分析及数据质量、分析方法和样本量对精度的影响

Q1 Mathematics
Héctor Echavarría-Heras, Cecilia Leal-Ramírez, Enrique Villa-Diharce, Nohe Cazarez-Castro
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引用次数: 4

摘要

背景:当前人类活动对大叶藻草甸的影响是显著的。大叶藻生态服务为人类带来了重要的利益。大叶草草甸的保护包括几种移植方法。对建立成功的评价依赖于对库存和生产率的估计。平均叶片生物量是立木的一个基本组成部分。现有的叶片生物量测量方法具有破坏性和耗时性。这些评估可能会改变移植物发育中的芽密度。异速生长方法提供了方便的单叶生物量的间接评估。单叶突出体的聚集产生了枝条中平均叶片生物量的代用品。所涉及的参数是时不变的,然后导出的代理产生简化的无损近似。尽管是时不变的,但局部因素会引起参数估计的相对变异性。这影响了代孕的准确性。分析方法、样本量、数据质量等因素也会影响精度。此外,尺度投影对参数波动很敏感。因此,所处理的异速近似的适用性需要澄清。结果:考虑的代理产生了准确的观测值的间接评估。只有使用非线性回归从原始数据中拟合的参数估计才能产生稳健的近似值。数据质量影响灵敏度和最佳精度的样本量。结论:大叶藻芽平均叶片生物量异速生长替代物提供了方便的无损评价方法。但分析方法和样本量对准确性有直接影响。数据质量的标准化例程对于保证该方法的成本效益至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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.

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.

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.

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.

Background: The 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.

Results: The considered proxies produced accurate indirect assessments of observed values. Only parameter estimates fitted from raw data using nonlinear regression, produced robust approximations. Data quality influenced sensitivity and sample size for an optimal precision.

Conclusions: Allometric surrogates of average leaf biomass in eelgrass shoots offer convenient nondestructive assessments. But analysis method and sample size can influence accuracy in a direct manner. Standardized routines for data quality are crucial on granting cost-effectiveness of the method.

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来源期刊
Theoretical Biology and Medical Modelling
Theoretical Biology and Medical Modelling MATHEMATICAL & COMPUTATIONAL BIOLOGY-
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0.00%
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0
审稿时长
6-12 weeks
期刊介绍: Theoretical Biology and Medical Modelling is an open access peer-reviewed journal adopting a broad definition of "biology" and focusing on theoretical ideas and models associated with developments in biology and medicine. Mathematicians, biologists and clinicians of various specialisms, philosophers and historians of science are all contributing to the emergence of novel concepts in an age of systems biology, bioinformatics and computer modelling. This is the field in which Theoretical Biology and Medical Modelling operates. We welcome submissions that are technically sound and offering either improved understanding in biology and medicine or progress in theory or method.
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