Search

Search Results

Dryad Logo
Lacoursière-Roussel, Anaïs; Côté, Guillaume; Leclerc, Véronique; Bernatchez, Louis 2016-12-03 Assessment and monitoring of exploited fish populations are challenged by costs, logistics and negative impacts on target populations. These factors therefore limit large-scale effective management strategies. Evidence is growing that the quantity of eDNA may be related not only to species presence/absence, but also to species abundance. In this study, the concentrations of environmental DNA (eDNA) from a highly prized sport fish species, Lake Trout Salvelinus namaycush (Walbaum 1792), were estimated in water samples from 12 natural lakes and compared to abundance and biomass data obtained from standardized gillnet catches as performed routinely for fisheries management purposes. To reduce environmental variability among lakes, all lakes were sampled in spring, between ice melt and water stratification. The eDNA concentration did not vary significantly with water temperature, dissolved oxygen, pH and turbidity, but was significantly positively correlated with relative fish abundance estimated as catch per unit effort (CPUE), whereas the relationship with biomass per unit effort (BPUE) was less pronounced. The value of eDNA to inform about local aquatic species distribution was further supported by the similarity between the spatial heterogeneity of eDNA distribution and spatial variation in CPUE measured by the gillnet method. Synthesis and applications. Large-scale empirical evidence of the relationship between the eDNA concentration and species abundance allows for the assessment of the potential to integrate eDNA within fisheries management plans. As such, the eDNA quantitative method represents a promising population abundance assessment tool that could significantly reduce the costs associated with sampling and increase the power of detection, the spatial coverage and the frequency of sampling, without any negative impacts on fish populations.
Université de Montréal Dataverse Logo
Borealis
Beisner, Beatrix E.; Rodriguez, Marco; Lemaire, Marine; Fugère, Vincent; Barrette, Marie-France; Gagné, Stéphanie; Leclerc, Véronique; Morissette, Olivier; Pouliot, Rémy; St-Pierre, Annick; Turgeon, Katrine; Velghe, Katherine; Guay, Jean-Christophe 2024-09-03 The data covers sampling sites over all of the province of Québec, with more data in the southern regions of the province. Data are from Hydro-Québec and the Québec Ministère de l’Environnement, de la Lutte contre les changements climatiques, de la Faune et des Parcs (MELCCFP). These datasets include a heterogeneous mix of standardized and non-standardized fish surveys by government biologists and by environmental consulting firms sub-contracted by Hydro-Québec, collected between 1973 and 2021. Overall, 6498 unique sites (3087 sites in lakes, 3412 sites in rivers; reservoirs excluded), were included in the database. For each site, the data consisted of species counts (adult and juvenile life stages), location (latitude and longitude), sampling date, habitat type (lake or river) and fishing gear (three categories: electrofishing, gillnet, or seine). Climate data (means over 1970 to 2000) and elevation were extracted for each site according to the site’s location from the WorldClim website (https://www.worldclim.org/) in 2023; a site which provides global weather and climate data at high spatial resolution. All 19 ‘bioclimatic variables’ provided by WorldClim were obtained from WorldClim raster files (10-min. resolution) using the function extract from the package raster (Hijmans and van Etten 2012). Five weakly-correlated bioclimatic variables were retained: annual means for temperature and precipitation, mean diurnal temperature range, annual temperature range, and precipitation seasonality (coefficient of variation of monthly total precipitation).

Map search instructions

1.Turn on the map filter by clicking the “Limit by map area” toggle.
2.Move the map to display your area of interest. Holding the shift key and clicking to draw a box allows for zooming in on a specific area. Search results change as the map moves.
3.Access a record by clicking on an item in the search results or by clicking on a location pin and the linked record title.
Note: Clusters are intended to provide a visual preview of data location. Because there is a maximum of 50 records displayed on the map, they may not be a completely accurate reflection of the total number of search results.