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Relationship between light, community composition and the electron requirement for carbon fixation in natural phytoplankton

机译:天然浮游植物的光,群落组成与固碳电子需求之间的关系

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摘要

Fast repetition rate fluorometry (FRRF) provides a means to examine primary productivity at high resolution across broad scales, but must be coupled with independent knowledge of the electron requirement for carbon uptake (K-C) to convert FRRF-measured electron transfer rate (ETR) to an inorganic carbon (C) uptake rate. Previous studies have demonstrated that variability of K-C can be explained by key environmental factors (e.g. light, nutrients, temperature). However, how such reconciliation of K-C reflects changes of phytoplankton physiological status versus that of community composition has not been well resolved. Therefore, using a dataset of coupled FRRF and C uptake measurements, we examined how the environmental dependency of K-C potentially varied with parallel changes in phytoplankton community structure. Data were combined from 14 campaigns conducted during the summer season throughout 2007 to 2014 in the East China Sea (ECS) and Tsushima Strait (TS). K-C varied considerably, but this variability was best explained by a linear relationship with light availability (R-2 = 0.66). Co-variability between K-C and light availability was slightly improved by considering data as 2 clusters of physico-chemical conditions (R-2 = 0.74), but was best improved as 2 taxonomic clusters: samples dominated by micro-phytoplankton (> 20 mu m) versus small phytoplankton (nano + pico, < 20 mu m; R-2 = 0.70-0.81). Interaction of phytoplankton community structure with light availability therefore explains the majority of variance of K-C. The algorithms generated through our analysis therefore provide a means to examine C uptake with high resolution from future FRRF observations from these waters.
机译:快速重复速率荧光法(FRRF)提供了一种在较大范围内以高分辨率检查初级生产率的方法,但必须结合对碳吸收电子(KC)的电子需求的独立知识,才能将FRRF测量的电子传输速率(ETR)转换为无机碳(C)吸收率。先前的研究表明,K-C的变异性可以通过关键的环境因素(例如光,养分,温度)来解释。但是,这种K-C和解如何反映浮游植物生理状态与群落组成的变化之间的关系尚未得到很好的解决。因此,使用耦合的FRRF和C吸收测量数据集,我们研究了K-C的环境依赖性如何随浮游植物群落结构的平行变化而潜在地变化。数据是根据2007年至2014年夏季在东海(ECS)和对马海峡(TS)进行的14次运动汇总的。 K-C差异很大,但是这种可变性最好通过光利用率的线性关系来解释(R-2 = 0.66)。通过将数据视为2个物理化学条件簇(R-2 = 0.74),可以稍微改善KC和光利用率之间的协方差,但作为2个分类学簇,则可以更好地改善KC和光可用性之间的协方差:样品以微浮游植物为主(> 20μm )与小型浮游植物(nano + pico,<20微米; R-2 = 0.70-0.81)。因此,浮游植物群落结构与光可利用性的相互作用解释了K-C的大部分变化。因此,通过我们的分析生成的算法提供了一种手段,可以从这些水域未来的FRRF观测值中以高分辨率检查C吸收。

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