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首页> 外文期刊>Journal of the American Water Resources Association >Integration of eDNA-Based Biological Monitoring within the U.S. Geological Survey’s National Streamgage Network
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Integration of eDNA-Based Biological Monitoring within the U.S. Geological Survey’s National Streamgage Network

机译：在美国地质调查局的全国流媒体网络中整合基于eDNA的生物监测

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This study explores the feasibility and utility of integrating environmental DNA (eDNA) assessments of species occurrences into the United States (U.S.) Geological Survey's national streamgage network. We used an existing network of five gages in southwest Idaho to explore the type of information that could be gained as well as the associated costs and limitations. Hydrologic technicians were trained in eDNA sampling protocols and they collected samples during routine monthly visits to streamgages over an entire water year (2016). We analyzed the eDNA in the filtered water samples to determine the presence of two fish species: bull trout and rainbow trout. We then modeled the spatiotemporal distribution of each species using discharge and temperature data. To assess the influence of the spatial distribution of the gages on the biological information obtained, we also collected eDNA samples from locations between the gages three times during the water year. We found eDNA monitoring at the five gages provided meaningful information about the distribution of both species, especially when detection probabilities accounted for variations in temperature and discharge. Sampling between the gages provided additional information about bull trout distribution - the rarer of the two species. Our study suggests the integration of eDNA sampling into a streamgage network is feasible and could provide a novel and powerful source of biological information for riverine ecosystems in the U.S.
机译：这项研究探索了将物种发生的环境DNA（eDNA）评估整合到美国（U.S.）地质调查局的国家流媒体网络中的可行性和实用性。我们使用了爱达荷州西南部现有的由五个量具组成的网络，来探索可以获取的信息类型以及相关的成本和局限性。水文技术人员接受了eDNA采样规程的培训，他们在例行的每月探访期间收集样本，以便在整个水年（2016年）进行分流。我们分析了过滤后的水样中的eDNA，以确定两种鱼类的存在：公鳟和虹鳟。然后，我们使用排放和温度数据对每种物种的时空分布进行建模。为了评估量具的空间分布对所获得的生物学信息的影响，我们还在水年期间三次从量具之间的位置收集了eDNA样本。我们发现在五个标尺上进行eDNA监测可提供有关两种物种分布的有意义的信息，尤其是当检测概率考虑到温度和放电的变化时。量规之间的采样提供了有关鳟鱼分布的更多信息-这是两个物种中比较罕见的一种。我们的研究表明，将eDNA采样整合到流式网络中是可行的，并且可以为美国的河流生态系统提供新颖而强大的生物信息来源。

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