SGER: Modification and Testing of the Time Series - Submersible Incubation Device (TS-SID) on the Bermuda Test Bed Mooring

9614160泰勒这个探索性研究小额赠款奖将验证新开发的用于自主生物活动测量的仪器。时间序列潜水培养装置(TS-SID)是一种与系泊兼容的自动化仪器，用于执行多个现场微生物培养实验。每次孵化包括一个清洗周期，在深度获得400毫升样品，同时引入示踪剂，并在用户确定的长度的孵化过程中保存最多四对亚样品。为了验证性能并允许发布结果，在真实条件下进行测试是必要的。具体目标是：a)改装样品分配阀以防止泄漏，并建造系泊强度不锈钢保持架以满足百慕大试验台系泊项目的技术要求。B)在浅水中进行孵化试验，以确认仪器功能正常，并制定试验台系泊研究中使用的孵化方案。C)将仪器放在百慕大系泊试验台上，进行自主初级生产测量。这一新的仪器解决了减少关键生物测量与相关的高分辨率物理和生物物理测量之间的时间差异的需要，并提供了一种调查微生物对环境变化的潜在生理反应的手段。由于大多数劳动密集型操作已经自动化，因此有可能增加生物时间序列研究中的测量频率(每天最多测量几次)，以直接量化季节性或间歇性物理现象对生物活动(如浮游植物初级生产力)的影响。

9614160 Taylor This Small Grants for Exploratory Research (SGER) award will validate newly developed instrumentation for autonomous biological activity measurements. The Time Series - Submersible Incubation Device (TS-SID) is a mooring-compatible, automated instrument for performing multiple, in situ microbial incubation experiments. Each incubation involves a cleaning cycle, procurement of a 400 ml sample at depth with simultaneous introduction of tracer, and the preservation of up to four pairs of subsamples during incubations of user-determined length. Testing under real-world conditions is necessary to validate performance and permit publication of results. Specific goals are to: A) Modify the subsample distribution valve to prevent leaking and construct a mooring-strength stainless steel cage to meet the technical requirements of the Bermuda Test Bed Mooring program. B) Perform incubation tests in shallow water to confirm proper instrument functioning and establish the incubation protocol to be used in the Test Bed Mooring studies. C) Place the instrument on the Bermuda Test Bed Mooring to perform autonomous primary production measurements. This new instrumentation addresses the need to reduce the temporal disparity between key biological measurements, and correlative high resolution physical and biophysical measurements, as well as to provide a means for investigating underlying physiological response of microorganisms to changes in the environment. Because most of the labor intensive manipulations have been automated, it is possible to increase the frequency of measurements in biological time series studies (up to several measurements per day) for directly quantifying the effects of seasonal or episodic physical phenomena upon biological activities, such as phytoplankton primary production.