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In situ quantification of bioturbation using time-lapse fluorescent sediment profile imaging (f-SPI), luminophore tracers and model simulation

机译:使用时间间隔荧光沉积物剖面(F-SPI),发光探测器和模型模拟的原位定量生物扰动

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摘要

In order to link actual biological data on bioturbation to the abstract parameters in bioturbation models, high-resolution data on the frequency and lengths of particle displacements are required. The temporal variation in bioturbation for a subtidal macrofaunal assemblage was studied non-invasively and in situ using an optically modified fluorescence sensitive time-lapse sediment profile imaging camera (f-SPI), fluorescent-dyed sediment particles (luminophores) and mathematical modelling. This combined approach allowed tracer particles to be non-invasively tracked and their displacements monitored at an unprecedented spatial (78 µm) and temporal (every 10 min) resolution for extended periods of time (16 h). The redistribution of luminophores was digitally acquired from sequential images and compared to model predictions, with particle transport modelled as (1) a diffusive process, allowing the biodiffusion coefficient, Db, to be estimated, and (2) a non-local process, allowing a reworking activity constant, a, to be calculated. Model predictions of luminophore particle transport for the final image of the f-SPI sequence gave: Db = 1.26 × 102 cm2 yr-1; a = 5.23 × 10-2 cm-1 yr-1. Discrete values of a fluctuated widely throughout the sequence and allowed discrete bioturbation events to be identified. Time-lapse movie sequences revealed that most of the bioturbation observed during the deployment could be directly attributed to the behaviour of the brachyuran crab Hyas araneus. Our findings demonstrate that f-SPI provides a rapid and non-invasive means to visualise and quantify, in situ, the extent and influence of discrete infaunal bioturbation events on particle mixing. This technique provides detailed information on the spatial and temporal resolution of such bioturbation events, which could significantly improve existing models of bioturbation.
机译:为了将实际生物数据的生物数据联系到生物相关模型中的抽象参数,需要频率和长度的高分辨率数据。使用光学改性的荧光敏感时间流逝沉积物剖面成像相机(F-SPI),荧光染色沉积物粒子(发光粒子)和数学建模,研究了对阴性宏指令组合的生物诱发的生物化和原位的时间变化。这种组合方法允许示踪剂颗粒进行非侵入性地跟踪,并且它们在前所未有的空间(78μm)和时间(每10分钟)延长时间(16小时)监测的位移。从顺序图像数字地获取发光小孔的再分布,并与模型预测相比,粒子传输建模为(1)漫射过程,允许估计生物区分系数,DB,以及(2)允许的非局部过程,允许重新加工活动常量,a,待计算。用于F-SPI序列的最终图像的发光体粒子传输的模型预测:DB = 1.26×102cm 2 YR-1; a = 5.23×10-2 cm-1 YR-1。在整个序列中广泛波动的离散值,并允许识别离散的生物察觉事件。时间流逝电影序列显示,部署期间观察到的大多数生物扰动都可以直接归因于Brachyuran Crab Hyas Araneus的行为。我们的研究结果表明,F-SPI提供了一种快速和非侵入性手段,以便在颗粒混合上的离散婴儿生物动扰事件的分立婴儿生物相关事件的程度和影响。该技术提供有关此类生物相关事件的空间和时间分辨率的详细信息,这可以显着改善现有的生物风险模型。

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