命中还是失误?时间序列分辨率对以小时、周和卫星遥感频率解析浮游植物动态的影响

IF 2.1 3区 地球科学 Q2 LIMNOLOGY
Virginie Sonnet, Colleen B. Mouw, Audrey B. Ciochetto, Jessica Carney-Almeida
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引用次数: 0

摘要

确定海洋浮游植物群落变异性对于设计采样策略和解释时间序列至关重要。卫星遥感、显微镜取样和流经成像系统的分辨率大不相同:显微镜取样的分辨率为每周或每月一次,极轨卫星在无云层覆盖或闪烁时为每天一次,自主成像仪器则为每小时一次。为了更好地了解不同分类水平下采样分辨率对数据稳健性的影响,我们分析了成像流式细胞仪(Imaging FlowCytobot)2 年的数据,这些数据的分辨率为每小时,并按照每日、卫星时间和每周显微镜采样分辨率进行了重新采样。我们的研究表明,周分辨率和卫星-时间分辨率足以解析一般群落组成,但卫星-时间分辨率的随机性会导致某些类别的代表性过高或过低。虽然所有四种分辨率都能在冬末检测到浮游植物生物量的年度绽放,但特定类别的年度绽放在时间上基本一致,但周分辨率和卫星-时间分辨率往往会低估或遗漏,从而在年度间的比较中产生偏差。至少每两周取样一次,尤其是在已知的水华期,可降低此类类别的偏差。同样,还应考虑采样时间,因为每天的变化都有特定的类别。总体而言,上午和退潮时取样的生物量往往较高。我们提供了 IFCB 在纳拉甘西特湾检测到的类别及其主要藻华特征和记录的日变化情况表,为今后的取样设计提供参考。这些结果为解释过去和未来的时间序列提供了工具,包括利用有针对性的卫星算法检测特定分类群的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Hit or miss? Impact of time series resolution on resolving phytoplankton dynamics at hourly, weekly, and satellite remote sensing frequencies

Hit or miss? Impact of time series resolution on resolving phytoplankton dynamics at hourly, weekly, and satellite remote sensing frequencies

Characterizing marine phytoplankton community variability is crucial to designing sampling strategies and interpreting time series. Satellite remote sensing, microscopy sampling, and flow through imaging systems have widely different resolutions: from weekly or monthly with microscopy sampling to daily when no cloud cover or glint is present with polar-orbiting satellites, and hourly for autonomous imaging instruments. To improve our understanding of data robustness against sampling resolution at different taxonomic levels, we analyze 2 yr of data from an Imaging FlowCytobot with hourly resolution and resample it to daily, satellite-temporal, and weekly microscopy sampling resolution. We show that weekly and satellite-temporal resolutions are sufficient to resolve general community composition but that the randomness of satellite-temporal resolution can result in overrepresenting or underrepresenting certain categories. While the yearly phytoplankton biomass bloom is detected in late winter by all four resolutions, category-specific yearly blooms are generally consistent in timing but often underestimated or missed by the weekly and satellite-temporal resolutions, introducing a bias in year-to-year comparisons. A minimum of biweekly sampling, particularly during known bloom periods, would lower the bias in such categories. Similarly, sampling time should be considered as daily variations are category-specific. Overall, morning and low tide sampling tended to have higher biomass. We provide tables for categories detected by the IFCB in Narragansett Bay with their major bloom characteristics and recorded daily variability to inform future sampling designs. These results provide tools to interpret past and future time series, including possible detection of specific taxonomic groups with targeted satellite algorithms.

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来源期刊
CiteScore
4.80
自引率
3.70%
发文量
56
审稿时长
3 months
期刊介绍: Limnology and Oceanography: Methods (ISSN 1541-5856) is a companion to ASLO''s top-rated journal Limnology and Oceanography, and articles are held to the same high standards. In order to provide the most rapid publication consistent with high standards, Limnology and Oceanography: Methods appears in electronic format only, and the entire submission and review system is online. Articles are posted as soon as they are accepted and formatted for publication. Limnology and Oceanography: Methods will consider manuscripts whose primary focus is methodological, and that deal with problems in the aquatic sciences. Manuscripts may present new measurement equipment, techniques for analyzing observations or samples, methods for understanding and interpreting information, analyses of metadata to examine the effectiveness of approaches, invited and contributed reviews and syntheses, and techniques for communicating and teaching in the aquatic sciences.
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