利用红外成像推测软质沉积物微藻密度和净生态系统产量

IF 2.1 3区 地球科学 Q2 LIMNOLOGY
Anthony R. Ives, Emily L. Adler, K. Riley Book, Jamieson C. Botsch, Árni Einarsson, Ian S. Hart, Colin H. Ives, Ian Jin, Amanda R. McCormick, Joseph S. Phillips
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引用次数: 0

摘要

测量软沉积物底栖生物中的微藻密度即使是最复杂的方法也面临挑战。如果目的是评估表观藻的光合潜能,那么微藻应该只在底栖动物表面到光线穿透深度的地方取样。此外,微藻密度可能表现出时空变化,这只能通过使用许多点样本和非破坏性采样来捕获。在这里,我们使用简单的近红外(NIR)图像来评估软水下沉积物中微藻的表面密度,并推断它们的光合能力。在实验室研究中,近红外图像给出了与使用色素提取和荧光测定法的标准叶绿素a (Chl a)测定密切相关的表观密度估计(R = 2 = 0.70),但近红外图像能够更好地分离实验处理。在对湖泊沉积物样本的分析中,近红外图像给出了与净生态系统产量(NEP)密切相关的表元Chl - a密度的估计。近红外图像还提供了外皮空间分布的细粒度评估,有助于解释外皮密度与NEP之间的关系。最后,水下近红外相机在风扰动事件过程中的图像给出了被掩埋的微藻的相对密度的估计,这些微藻可能至少暂时没有光合作用。这些结果表明,近红外成像为微藻的表面密度采样提供了一种简单且无损的方法,特别适用于偏远地区和教育环境,学生可以使用便宜且坚固的设备生成结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Inferring microalgae density and net ecosystem production on soft sediments using infrared imaging

Inferring microalgae density and net ecosystem production on soft sediments using infrared imaging

Measuring microalgae density in soft-sediment benthos has challenges for even the most sophisticated methods. If the goal is to assess the photosynthetic potential of epipelon, then microalgae should be sampled only at the surface of the benthos to the depth of light penetration. Furthermore, microalgae density may show spatial and temporal variability that can only be captured by using many point samples and nondestructive sampling. Here, we use simple near-infrared (NIR) imagery to assess surface density of microalgae in soft underwater sediments and to infer their photosynthetic capacity. In lab studies, NIR imagery gives estimates of epipelon density that are strongly correlated with standard chlorophyll a (Chl a) assays using pigment extraction and fluorometry ( R adj 2  = 0.70), but NIR imagery is better able to separate experimental treatments. In analyses of sediment samples from a lake, NIR imagery gives estimates of epipelon Chl a density that are strongly correlated to net ecosystem production (NEP). Near-infrared imagery also gives a fine-grained assessment of the spatial distribution of epipelon that helps to explain the relationship between epipelon density and NEP. Finally, images from an underwater NIR camera over the course of a wind disturbance event give estimates of the relative density of microalgae that is buried and is likely to be, at least temporarily, photosynthetically inactive. These results show that NIR imagery provides an easy and nondestructive method for sampling surface densities of microalgae which is particularly suitable for remote field locations and for educational settings in which students can generate results with cheap and robust equipment.

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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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