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AIMS SOP STIC Deployment and Maintenance

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DataONE2024-12-06 更新2025-04-26 收录
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The following standard operating procedure (SOP) was created for the the Aquatic Intermittency effects on Microbiomes in Streams (AIMS), an NSF EPSCoR funded project (OIA 2019603) seeking to explore the impacts of stream drying on downstream water quality across Kansas, Oklahoma, Alabama, Idaho, and Mississippi. AIMS integrates datasets on hydrology, microbiomes, macroinvertebrates, and biogeochemistry in three regions (Mountain West, Great Plains, and Southeast Forests) to test the overarching hypothesis that physical drivers (e.g., climate, hydrology) interact with biological drivers (e.g., microbes, biogeochemistry) to control water quality in intermittent streams. An overview of the AIMS project can be found here: https://youtu.be/HDKIBNEnwdM This protocol details the process for setting up, testing, deploying, downloading, relaunching, and retrieving STIC sensors to assess the presence and absence of surface water. These sensors will be used throughout the nine focal watersheds to get a spatially distributed view of stream drying patterns (AIMS Approach 1) and will inform locations for distributed seasonal sampling (AIMS Approach 2). The \"living\" version of this SOP can be found on Google Docs: https://docs.google.com/document/d/1_GOR5HyaH7kxzvBhT6yi1ajTyhBhfVRI9UGYjQ043qI/edit?tab=t.0 Also included in this resource are field sheets, used when STICs were collected to record site, serial number, timing of collection, and other information important for STIC processing. From this SOP, the following data types will be created: Time series of temperature and conductivity. [AIMS rTypes: STIC]

本标准作业程序(Standard Operating Procedure,SOP)专为溪流水生间歇性效应对微生物组的影响(Aquatic Intermittency effects on Microbiomes in Streams,以下简称AIMS)项目制定。该项目由美国国家科学基金会竞争研究激励实验计划(National Science Foundation Experimental Program to Stimulate Competitive Research,NSF EPSCoR)资助(资助编号:OIA 2019603),旨在探究溪流干涸对堪萨斯州、俄克拉荷马州、阿拉巴马州、爱达荷州及密西西比州下游水质的影响。AIMS项目整合了美国西部山地、大平原及东南部森林三个区域的水文、微生物组、大型无脊椎动物及生物地球化学数据集,以验证核心假说:物理驱动因子(如气候、水文)与生物驱动因子(如微生物、生物地球化学过程)相互作用,共同调控间歇性溪流的水质。可通过以下链接查看AIMS项目概述:https://youtu.be/HDKIBNEnwdM 本规程详细说明了STIC传感器的布设、调试、部署、数据下载、重新启用及回收流程,用于监测地表水的存在与缺失情况。这些传感器将部署于全部9个重点流域,以获取溪流干涸模式的空间分布特征(AIMS方法1),同时为分布式季节性采样点位的选择提供依据(AIMS方法2)。 本SOP的动态更新版可通过Google Docs访问:https://docs.google.com/document/d/1_GOR5HyaH7kxzvBhT6yi1ajTyhBhfVRI9UGYjQ043qI/edit?tab=t.0 本资源还包含野外记录表,用于在回收STIC传感器时记录采样点位、序列号、回收时间及其他对STIC数据处理至关重要的相关信息。 通过本SOP将生成以下数据类型:温度与电导率的时间序列数据。【AIMS数据类型:STIC】

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2024-12-07
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