Search

University of Victoria Dataverse Logo
Data from: Multiple human activities in coastal benthic ecosystems: introducing a metric of cumulative exposure
Borealis
Dreujou, Elliot; Beauchesne, David; Daigle, Rémi M; Carrière, Julie; Noisette, Fanny; McKindsey, Christopher W; Archambault, Philippe — 2023-09-14 <h3>General presentation</h3> This repository presents the R code and associated data used in the article <em>Multiple human activities in coastal benthic ecosystems: introducing a metric of cumulative exposure</em>.<br><br> Datasets include information about the stations sampled at Sept-Îles (Québec, Canada) in 2017 and exposure indices. Data includes species biomass, density and taxonomy of benthic macrofaunal species, with physico-chemical parameters at the sediment surface, biotic indicators and exposure indices.<br><br> The main research questions were to: <ol> <li>model the exposure of benthic ecosystems to anthropogenic activities locally</li> <li>explore the links between benthic community diversity and anthropogenic exposure</li> </ol> <hr> <h3> Specific details</h3> <ul> <li>Variables, units and files are explained in files <strong>README.yml</strong> (this file is a basic text file formatted with a YAML language) and <strong>README.txt</strong>.</li> <li>Language and software used for the analyses: R (4.2), PRIMER-E (6)</li> </ul> <hr>
University of Victoria Dataverse Logo
Data from: Determining the ecological status of benthic coastal communities: a case in an anthropized sub-Arctic area
Borealis
Dreujou, Elliot; Desroy, Nicolas; Carrière, Julie; Tréau de Coeli, Lisa; McKindsey, Christopher W; Archambault, Philippe — 2021-03-23 <h3>General presentation</h3> This repository presents the R code and associated data used in the article <em>Determining the ecological status of benthic coastal communities: a case study in an anthropized sub-Arctic area</em>.<br><br> Datasets include information about the stations sampled at Sept-Îles (Québec, Canada) in 2017. Data includes species biomass, density, taxonomy and traits of benthic macrofaunal species, with physico-chemical parameters at the sediment surface.<br><br> The main research questions were to: <ol> <li>compare outcomes of various benthic environmental indicators</li> <li>understand how these indicators relate to habitat parameters for validation and to select appropriate applications</li> </ol> <hr> <h3> Specific details</h3> <ul> <li>Variables, units and files are explained in files <strong>README.yml</strong> (this file is a basic text file formatted with a YAML language) and <strong>README.txt</strong>.</li> <li>Language and software used for the analyses: R (4.0.3)</li> </ul> <hr>
University of Victoria Dataverse Logo
Data from: Environmental stressors, complex interactions and marine benthic communities’ responses
Borealis
Carrier-Belleau, Charlotte; Drolet, David; McKindsey, Christopher W.; Archambault, Philippe — 2021-03-16 This dataset includes the data collected from a laboratory experiment between August 1 and October 23, 2018 to investigate the individual and combined effect of freshwater input, increased temperature and nutrient enrichment after two-exposure time on <i>Mytilus</i> sp, <i>Limecola balthica</i> and microphytobenthos biomass.
University of Victoria Dataverse Logo
Data from: Sea ice increases benthic community heterogeneity in a seagrass landscape
Borealis
Pascal, Ludovic; Bernatchez, Pascal; Chaillou, Gwénaëlle; Nozais, Christian; Lapointe Saint-Pierre, Mathilde; Archambault, Philippe — 2020-01-23 These data include macrofaunal (i.e. > 0.5 mm) densities and biomasses and environmental data from the monitoring of a seagrass meadow located at the Manicouagan peninsula, Quebec, Canada. Sampling occurred during the year 2018 (April, June, August and October). Sample were collected in vegetated areas (V) and in artificial (aTP) and natural (nTP) tidal pools.<br/> Data are organized in five tabular data files (.txt files; separator = tab, decimal = .)<br/> (1) Manicouagan_biomasses.txt includes biomasses (g blotted wet weight/m<sup>2</sup>) of sampled macrofaunal species<br/> (2) Manicouagan_densities.txt includes densities (individuals/m<sup>2</sup>) of sampled macrofaunal species<br/> (3) Manicouagan_porewater_profiles.txt include depth profile of nutrient (NH<sub>4</sub><sup>+</sup>, NO<sub>2</sub> + NO<sub>3</sub><sup>-</sup> and PO<sub>4</sub><sup>3-</sup>) concentrations (µM)<br/> (4) Manicouagan_Sediment_characteristics.txt includes median sediment grain size (D50; µm) sediment porosity (volume ration), particulate organic carbon content (OC; % Dry Weight), particulate total nitrogen content (TN; % DW), sediment chlorophyll a content (chla; µg/g), sediment phaeopigment content (µg/g), Total (Seagrass), above ground (AboGround) and below ground (BelGround) seagrass biomass (g/m<sup>2</sup>) and nutrients (NH<sub>4</sub><sup>+</sup>, NO<sub>2</sub> + NO<sub>3</sub><sup>-</sup> and PO<sub>4</sub><sup>3-</sup>) stock (µmol/m<sup>2</sup>) in the first 8 cm of the sediment column. (5) Manicouagan_Bacteria.txt include extractible bacteria count (Abundance in number of cells per mL of sediment) and fluorescence (green fluorescence, relative unit) in the sediment.
University of Victoria Dataverse Logo
Data for: Ecosystem-Based Quality Index at the bay scale: assessing the status of a heterogeneous system in a functional framework.
Borealis
Ferrario, Filippo; Archambault, Philippe; Johnson, Ladd Erik; McKindsey, Christopher W. — 2021-10-06 This dataset provides scripts and data used to produce the study "Ecosystem-Based Quality Index at the bay scale: assessing the status of a heterogeneous system in a functional framework." https://doi.org/10.1016/j.ecolind.2021.108260 . The Ecosystem-Based Quality Index (EBQI), developed for the Mediterranean Sea, may be adaptable to other ecosystems due to its functional approach being closer to a methodological framework than a specialized index. This work implement the shGSL-EBQI (shallow heterogeneous Gulf of St. Lawrence-EBQI) Data provided here include: - field data on macro-epibenthic invertebrates, algal community, infauna, bioturbation, Organic matter and photosynthetic pigments content in sediment in the Baie des Sept Îles (Québec, Canada). - potential environmental and anthropogenic drivers in the area - Scoring criteria, box scores, weighting schemes and model description datasets used to caculate the shGSL-EBQI. Methodological Information: - Macro epibentic Invertebrates, Macroalgal and Bioturbation data have been ectracted from georeferenced photomosaics realized using underwater imagery acquired by Filippo Ferrario using SCUBA (see paper for details). Data have been gathered in 2018 in the Bay of Sept-Îles (Québec, Canada) - Organic matter and Photosynthetic pigments (chlorophyll-a and pheopigments) were quantified from sediment collected in SCUBA (see paper for details). Data have been gathered in 2018 in the Bay of Sept-Îles (Québec, Canada) - Fishery data have been provided by David Beauchesne (CHONe). More information on data can be found in: Beauchesne et al 2020 (https://doi.org/10.3389/fmars.2020.00383) - Infauna data have been provided by Elliot Dreujou (CHONe). More information on data can be found in: Dreujou et al 2020 (https://doi.org/10.3390/w12092424).
University of Victoria Dataverse Logo
Data from: Benthos response to nutrient enrichment and functional consequences in coastal ecosystems
Borealis
Pascal, Ludovic; Chaillou, Gwénaëlle; Nozais, Christian; Cool, Joannie; Bernatchez, Pascal; Letourneux, Kevin; Archambault, Philippe — 2022-02-15 <h1>General description</h1> <p>This dataset include the data collected during two experiments carried out in May and August 2019 to investigate the mechanisms involved in the benthic response to nutrient enrichment in coastal ecosystems.</p> <p>Sample were collected in an intertidal mudflat in Isle-Verte Bay (48° 2’ 36.76” N; 69° 21’ 3.736” W, St. Lawrence estuary, QC, Canada) in vegetated areas (Veg) and ice made-tidal pools (UnV). They were then exposed, in a well-controlled laboratory experiment, to three intensities of nutrient enrichment (N0, N1 and N2) during 30 days.</p> <hr> <h1>Description of the dataset</h1> <p><em>Data are organized in five tabular data files (.txt files; separator = tab, decimal = ., missing data = NA)</em>. Please refer to related publication for experimental design and analytical methods</p> <h3>Sediment_characteristics.txt</h3> <p>This file includes median sediment grain size (D<sub>50</sub>; µm), sediment porosity (volume ratio), Sediment organic matter (SOM; %Loss on ignition), Chlorophyll <em>a</em> content (Chl <em>a</em>; µg g<sup>-1</sup>), phaeopigments (µg g<sup>-1</sup>), Seagrass leaf biomasse (g) and Seagrass leaf elongation (cm day<sup>-1</sup>)</p> <h3>Macrofauna_density.txt</h3> <p>This file includes densities (individuals m<sup>-2</sup>) of sampled macrofaunal species</p> <h3>Bioturbation.txt</h3> <p>This files includes bioturbation metrics such as maximum penetration depth of luminophores (MPD; cm), Biodiffusion coefficient (D<sub>b</sub>; cm<sup>2</sup> y<sup>-1</sup>) and porewater exchange rate (Q; mL m<sup>-2</sup> h<sup>-1</sup>)</p> <h3>Oxygen_dynamics.txt</h3> <p>This file includes diffusive oxygen uptake (J; mmol m<sup>-2</sup> d<sup>-1</sup>) and oxygen penetration depth (Z; µm)</p> <h3>Nutrient_profiles.txt</h3> <p>This file includes porewater nutrient (NH<sub>4</sub><sup>+</sup>, NO<sub>3</sub><sup>-</sup> and PO<sub>4</sub><sup>3-</sup>; µM) profiles within the sediment column (depth; cm)</p> <h3>Benthic_fluxes.txt</h3> <p>This file includes oxygen (TOU) and nutrients ((NH<sub>4</sub><sup>+</sup>, NO<sub>3</sub><sup>-</sup>) benthic fluxes (mmol m<sup>-2</sup> h<sup>-1</sup>)</p>

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.

(Source Repository: University of Victoria Dataverse) AND (Author: Archambault, Philippe)

Limit by:

Clear all

to