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Fast Repetition Rate Fluorometry (FRRF) data collected on the RV L'Astrolabe from 22/01/2008 to 27/01/2008 (Dumont d'Urville - Hobart)

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Research Data Australia2025-12-20 收录
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These data were collected on the RV L'Astrolabe (platform code: FHZI) from 22/01/2008 to 27/01/2008 on a trip from Dumont D'Urville to Hobart.Maximum photochemical efficiency of photosystem II (PSII), also called maximum quantum yield of PSII (Fv/Fm), has become one of the most widely utilized fluorescence parameters in phytoplankton research. It represents the potential photochemical efficiency, which is the probability that the light energy captured by the photosynthetic apparatus is being utilized as photochemistry. Fv/Fm has been shown to have an instant response to variations in physical and chemical properties and is interpreted as a diagnostic of the overall health or competence of phytoplankton. Together with the absorption cross section area of PSII and chlorophyll concentration, it can be used to measure primary production (Cheah et al. 2011, Deep Sea Research).Seawater from 3 m depth was supplied continuously from the ship’s clean seawater line. FRR fluorescence yields were measured continuously at 1 minute intervals in dark-adapted state (! 15 minutes dark-adaptation) using a flash sequence consisting of a series of 100 subsaturation flashlets (1.1 μs flash duration and 2.8 μs interflash period) and a series of 20 relaxation flashlets (1.1 μs flash duration and 51.6 μs interflash period).

本数据集采集于L'Astrolabe号研究船(平台代号:FHZI),采集时段为2008年1月22日至2008年1月27日,所属航次航线从迪蒙·迪维尔(Dumont D'Urville)前往霍巴特(Hobart)。 光系统II(Photosystem II, PSII)的最大光化学效率,亦称PSII最大量子产额(Fv/Fm),现已成为浮游植物研究中应用最为广泛的荧光参数之一。该参数表征潜在光化学效率,即光合装置捕获的光能被用于光化学反应的概率。研究表明,Fv/Fm可对水体理化性质变化产生快速响应,常被用作评估浮游植物整体健康水平与生理活性的诊断指标。结合PSII吸收截面面积与叶绿素浓度数据,该参数可用于水体初级生产力的测算(Cheah等,2011,《深海研究》(Deep Sea Research))。 本研究通过船舶洁净海水管路连续采集3米深度的海水样本。采用由100次亚饱和微闪光(闪光时长1.1 μs,闪光间隔2.8 μs)与20次弛豫微闪光(闪光时长1.1 μs,闪光间隔51.6 μs)组成的闪光序列,对处于暗适应状态(需经15分钟暗适应)的样本,以每分钟1次的频率连续测量快速重复率(Fast Repetition Rate, FRR)荧光产量。
提供机构:
Australian Ocean Data Network
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