Phytoplankton carbon and nitrogen biomass estimates are robust to volume measurement method and growth environment

Phytoplankton carbon and nitrogen biomass estimates are robust to volume measurement method and growth environment
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浮游植物碳和氮生物量估计对于体积测量方法和生长环境是稳健的

DOI:
10.1093/plankt/fbab014
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发表时间:
2021
影响因子:
2.1
通讯作者:
Menden-Deuer, Susanne
Menden-Deuer, Susanne
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Mcnair, Heather;Hammond, Courtney Nicole;Menden-Deuer, Susanne

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浮游植物生物量通常使用细胞体积与碳(C)和氮(N)含量之间的关系来估计,所述关系已经使用跨越大小数量级的不同浮游生物来定义。值得注意的是,传统上使用来自平面二维(2D)图像的细胞尺寸通过细胞形状的几何近似来估计体积,这需要关于第三深度维度的假设。鉴于图像处理的进展,我们研究了如何从三维(3D),共聚焦图像确定细胞体积影响浮游植物细胞体积和C和N含量之间的关系。此外,我们确定生长条件可导致细胞N和C的30-40%变化。3D浮游植物细胞体积测量平均比2D图像的几何近似值大15%。体积方法的变化是最小的种内变化相比,体积(~30%)和物种之间的元素密度的50倍的变化。因此,C:vol和N:vol的关系是不变的体积测量方法和生长环境。最近在仪器方面取得的进展,包括在海上和自主应用的仪器,可用于直接估计浮游生物量。展望未来,我们建议的仪器,允许物种识别以及浮游生物量估计的大小和形状特征。
Phytoplankton biomass is routinely estimated using relationships between cell volume and carbon (C) and nitrogen (N) content that have been defined using diverse plankton that span orders of magnitude in size. Notably, volume has traditionally been estimated with geometric approximations of cell shape using cell dimensions from planar two-dimensional (2D) images, which requires assumptions about the third, depth dimension. Given advances in image processing, we examined how cell volumes determined from three-dimensional (3D), confocal images affected established relationships between phytoplankton cell volume and C and N content. Additionally, we determined that growth conditions could result in 30–40% variation in cellular N and C. 3D phytoplankton cell volume measurements were on average 15% greater than the geometric approximations from 2D images. Volume method variation was minimal compared to both intraspecific variation in volumes (~30%) and the 50-fold variation in elemental density among species. Consequently, C:vol and N:vol relationships were unaltered by volume measurement method and growth environment. Recent advances in instrumentation, including those for at sea and autonomous applications can be used to estimate plankton biomass directly. Going forward, we recommend instrumentation that permits species identification alongside size and shape characteristics for plankton biomass estimates.
DOI: 10.1016/j.plaphy.2005.07.001
发表时间: 2005-07
期刊: Plant physiology and biochemistry : PPB
影响因子: --
作者:
Katja Stehfest;J. Toepel;C. Wilhelm
通讯作者: Katja Stehfest;J. Toepel;C. Wilhelm
DOI: 10.1007/bf01279855
发表时间: 1980-01-01
期刊: PROTOPLASMA
影响因子: 2.9
作者:
HERTH, W;SCHNEPF, E
通讯作者: SCHNEPF, E