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    المساهمون: Centre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques (CARRTEL), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), CT2MC, OFB (Office Francais de la Biodiversite)ADEME1682C0131AnaEE-FranceOLA (Observatory on LAkes)(C) OLA-IS

    المصدر: Limnology and Oceanography: Methods
    Limnology and Oceanography: Methods, Association for the Sciences of Limnology and Oceanography, 2021, 19 (4), pp.280-292. ⟨10.1002/lom3.10422⟩

    الوصف: International audience; To evaluate the aquatic ecosystem's quality and ensure the sustainable management of fisheries, it is important to monitor fish populations. Hydroacoustics uses sound waves to noninvasively scan and gather information on waterbodies including fish abundance and distribution. Unmanned surface vehicles (USV) have been increasingly used in marine and freshwater environments to enable data collection. We provide a detailed description of a new USV called Hydroacoustic Autonomous boat for Remote fish detection in LakE (HARLE), which is devoted to hydroacoustic studies in freshwater. The USV is electrically powered and equipped with the most modern fishery scientific echosounder, suitable for broadband applications, the EK80 (SIMRAD). The USV was used for a conventional hydroacoustic survey in a peri-alpine lake to investigate its potential to monitor fish populations in lakes. In the lower layer of the lake where there were numerous targets and comparisons were possible, hydroacoustic metrics and fish biomass values (kg ha(-1)) from the SIMRAD EK80 on board the USV and EK60 on board the research vessel were similar. We showed that the HARLE has great potential to be used as a tool for fish monitoring and hydroacoustic survey in freshwater.

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    المصدر: ARPHA Conference Abstracts 4: e64796

    الوصف: Anthropogenic pressures and more recently climatic change have increased the interest to study the impact of environmental changes on the key stages of fish life cycle. In lake Geneva, a deep peri-alpine lake, climate change and phosphorous level are known to have consequences on salmonid and percid populations, including key species for recreational and commercial fisheries, whose stocks are subject to significant fluctuations. To follow these stock variations, the spawning activity of European perch (Perca fluviatilis) and whitefish (Coregonus lavaretus) is monitored in this lake since several years using traditional methods, unfortunately mostly destructive or damaging (e.g. gillnetting and collection of fertilized eggs). DNA isolated from the environment (eDNA) has been widely developed for the detection of specific species or whole biological communities, and this non-invasive method offers an alternative to conventional surveying tools. Until recently, the methods used for eDNA analysis (e.g. qPCR, metabarcoding) could be limited by their sensitivity, quantification limit or price, but the emergence of new methods, such as the droplet digital PCR (ddPCR), offers the possibility to quantify an absolute eDNA signal in a very sensitive way and at a lower cost. Here, we show for the first time the applicability of an eDNA method to monitor the spawning activity of two fish species in a lake by using ddPCR. During two spawning seasons for whitefish and one spawning season for European perch, water samples were collected every week from the subsurface, simultaneously to traditional monitoring sampling, and filtered through sterile cartridges. The eDNA was then extracted and analyzed using ddPCR, targeting the mitochondrial DNA of the two fish species. The results demonstrate the efficiency of eDNA coupled with ddPCR to identify the timing and duration of the spawning periods, as well as the peak of the spawning activity for whitefish and European perch in Lake Geneva. This study shows that we have reached an operational level to use this non-invasive eDNA monitoring of the spawning activity of these fish species in lakes.

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