five

AIMS_GP_approach3_QPCR

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www.hydroshare.org2024-04-22 更新2025-01-21 收录
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This study was conducted in the South Fork of King’s Creek at Konza Prairie Biological Station, one of the most well-studied prairie streams in the world. At the USGS gage located on the mainstem (06879560; est. 1979), Kings Creek is a 5th order intermittent stream draining 1059-ha of tallgrass prairie in the Kansas Flint Hills. This synoptic survey was designed in support of the sampling goals of the Aquatic Intermittency effects on Microbiomes in Streams (AIMS) Project. During June, July, and August 2021, a field team co-collected datasets characterizing the hydrology, biogeochemistry, and ecology across 50 locations within a sub-drainage of the South Fork of Kings’ Creek. The 50 sites were selected to balance multiple competing priorities: (i) strategically targeting existing monitoring infrastructure with long-term data (n=14); (ii) including sites near several known springs and tributary junctions (n=9); and (iii) including a range of drainage area and topographic wetness index (TWI) values (n=27), both of which have been correlated with flow permanence elsewhere. Briefly, the sites selected based on drainage area and TWI were chosen by binning drainage area into 10 bins and then binning TWI into quintiles within each drainage area bin. We then randomly selected a point in each bin after accounting for points selected based on existing infrastructure, springs, and tributaries;, and enforcing a minimum spacing of 100 m between locations. We then made minor adjustments to points to account for field conditions, for instance adjusting locations with respect to a road crossing. For a detailed description of the site selection process, please see (Swenson et al., 2023).

本研究于美国堪萨斯州弗林特丘陵地区的国王溪南支流,即世界上研究最为深入的草原溪流之一的科纳草原生物站进行。在位于主河道的美国地质调查局(USGS)测站(编号06879560,建于1979年),国王溪是一条第五级间歇性溪流,汇流1059公顷的禾本科草原。本次综合调查旨在支持“河流间歇性对微生物群的影响”(AIMS)项目的采样目标。在2021年6月、7月和8月期间,一支野外团队在国王溪南支流的一个子流域内,于50个地点共同收集了表征水文、生物地球化学和生态学的数据集。这50个地点的选取旨在平衡多个相互竞争的优先级:(i)战略性地针对具有长期数据的现有监测基础设施(n=14);(ii)包括靠近多个已知泉眼和支流汇合处的地点(n=9);以及(iii)包括一系列排水面积和地形湿润指数(TWI)值(n=27),这两者均与其他地方的流量持久性相关。简而言之,基于排水面积和TWI选取的地点是通过将排水面积分为10个区间,并在每个排水面积区间内将TWI分为五分位数来选择的。然后,在考虑了基于现有基础设施、泉眼和支流选择的点之后,我们在每个区间内随机选择一个点,并确保地点之间的最小间距为100米。随后,我们对点进行了微调,以适应现场条件,例如根据道路交叉点调整位置。关于站点选择过程的详细描述,请参阅(Swenson等,2023)。
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