沉积物岩心高光谱成像快速生成叶绿素时间序列的新指标

IF 2.1 3区 地球科学 Q2 LIMNOLOGY
Hamid Ghanbari, David R. Zilkey, Irene Gregory-Eaves, Dermot Antoniades
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引用次数: 0

摘要

色素浓度的时间序列分析是了解过去水生生态系统动态的关键。由于湖泊沉积物为长期变化提供了一个窗口,创新的古湖泊叶绿素定量可以为过去的环境过程提供有影响力的见解。基于实验室的沉积物岩心高光谱成像是一种新兴的技术,用于开发快速、非破坏性、高分辨率的叶绿素推断,但它需要更广泛的审查。尽管最近在模型开发方面取得了进展,但叶绿素模型在应用于具有不同性质的湖泊时的可靠性,以及物理沉积物性质对这些模型的潜在混淆影响,仍然存在知识差距。我们通过高光谱成像和分光光度法对分布在加拿大7个湖泊沉积物岩心的202个样品进行配对测量,评估了23个叶绿素指数的性能。采用基于红边最小点波长(λREMP)的新指标评价效果最佳。我们利用116个沉积物岩心的数据库测试了λREMP对广泛沉积物岩心的适用性,发现该指数在84%的地点提供了可靠的ƩChl(即叶绿素a和b及其降解产物)趋势重建。进一步的分析表明,沉积物特征(包括粒度、有机质含量、含水量和密度)对ƩChl没有系统的影响,但更高的沉积物亮度确实增加了高光谱图像对ƩChl的推断。高光谱核心扫描有助于生成高分辨率叶绿素时间序列数据,这可以极大地提高我们对从局部到全球尺度变化轨迹的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A new index for the rapid generation of chlorophyll time series from hyperspectral imaging of sediment cores

A new index for the rapid generation of chlorophyll time series from hyperspectral imaging of sediment cores

Time series analyses of pigment concentrations are key to understanding past aquatic ecosystem dynamics. As lake sediments provide a window into longer-term changes, innovative paleolimnological chlorophyll quantification could provide impactful insights into past environmental processes. Lab-based hyperspectral imaging of sediment cores is an emerging technique to develop rapid, non-destructive, high-resolution chlorophyll inferences but it requires more extensive vetting. Despite recent advances in model development, there is still a knowledge gap about the reliability of chlorophyll models when applied in lakes with diverse properties, as well as the potential confounding effects of physical sediment properties on these models. We assessed the performance of 23 chlorophyll indices based on paired measurements collected via hyperspectral imaging and spectrophotometry for 202 samples spread across seven Canadian lake sediment cores. The best performance was by a new index based on the wavelength of the red-edge minimum point (λREMP). We tested the applicability of λREMP to a broad range of sediment cores using a database of 116 cores, and found the index to provide reliable reconstructions of ƩChl (i.e., chlorophyll a and b and their degradation products) trends in 84% of sites. Further analyses indicated that sediment characteristics including particle size, organic matter content, water content, and density had no systematic impact on ƩChl, but greater sediment brightness did increase ƩChl inferences from hyperspectral images. Hyperspectral core scanning is poised to facilitate the generation of high-resolution chlorophyll time series data, which could greatly improve our understanding of trajectories of change from the local to global scales.

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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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