Wooded areas of interest and particular ecosystems or habitats covered by the Interim Control Regulation (RCI) Nature plan amended by Regulation 1274-2.attributs:mb_ID - Identifier of the wooded environmentCOHABparticular - Presence of a particular ecosystem or habitat - Presence of a particular ecosystem or habitat (Yes/No) INFORCI - Additional information on the Interim Control Regulation**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

In 2012 and 2013, Fisheries and Oceans Canada surveyed the benthos in two areas closed to bottom contact fishing, the Narwhal Overwintering and Coldwater Coral Zone (now the Disko Fan Conservation Area, DFCA), and the Hatton Basin Voluntary Coral Protection Zone (now the Hatton Basin Conservation Area, HBCA). Samples were collected following protocols recommended by the Arctic Council’s Circumpolar Biodiversity Monitoring Plan for the purposes of providing baseline data for future monitoring of benthic invertebrates in this sensitive region, and for facilitating pan-Arctic comparisons of benthic communities. Five biodiversity monitoring stations were established, four in the DFCA and one in the HBCA, each of which was fully sampled according to those protocols with Van Veen grabs or box corers, drop cameras and temperature recorders attached to the gear. This report summarises the grab/core-sampled benthic fauna collected during the 2012 survey of the Conservation Areas and complements another report documenting the epibenthos from the camera transects in the DFCA. Here we report on macrofauna in the 1-cm size fraction, and on foraminiferan meiofauna.The data provided is presented in the following report (see related link) :Jacobs, K., Bouchard Marmen, M., Rincón, B., MacDonald, B., Lirette, C., Gibb, O., Treble, M., and Kenchington, E. 2022. Biodiversity Monitoring Stations for Benthic Macrofauna and Meiofauna in the Disko Fan and Hatton Basin Conservation Areas. Can. Tech. Rep. Fish. Aquat. Sci. 3487: vi + 86 p.Cite this data as: Bouchard Marmen, Marieve; Rincon, Beatriz ; MacDonald, Barry; Lirette, Camille; Gibb, Olivia; Treble, Margaret ; Jacobs, Kevin; Kenchington, Ellen (2022). Biodiversity Monitoring Stations for Benthic Macrofauna and Meiofauna in the Disko Fan and Hatton Basin Conservation Areas. Published January 2023. Ocean Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/b7bcff18-698b-4d40-a7bd-13d39925cbeb

DFO has committed to establishing a representative network of Marine Conservation Areas collectively comprising 30% of the EEZ by 2030. The MCT 2.0 program was established in 2021 to help achieve this target and establish long-term monitoring within Canadian conservation areas. Information on the distribution of species within a protected area is essential for the management and monitoring of a site. Decisions made on zoning, risk assessment, activity approvals and management effectiveness all require information on the distribution and status of species. The Scotian Shelf-Bay of Fundy Bioregion spans the domain of the Maritimes Region, and within it there are 8 Marine Refuges (MR), 3 Marine Protected Areas (MPA), and 2 Areas of Interest (AOI). Environmental DNA (eDNA) offers a promising approach for biodiversity monitoring that has been gaining increased attention in the marine realm. Through sampling relatively small volumes of water (~3L), eDNA can capture of millions of fragments of eDNA on specialized filters that can then be sequenced to identify the species composition of an area. eDNA metabarcoding is based on the foundations of DNA barcoding, where species are identified solely by their unique DNA sequences. This method is relatively simple, efficient (with the ability to characterize both fish and invertebrate diversity), and non-invasive, meaning there is no disruption of sensitive benthic habitats or need to dissect tissue samples from captured fish and invertebrates. eDNA has been shown to be comparable to other biodiversity censusing techniques and has the potential to rapidly conduct biodiversity surveys over a relatively large area, such as the Eastern Shore Islands AOI. The DFO Maritimes summer multispecies trawl survey is one of the longest-running data series with applications in fisheries stock assessment, and one of the only sources of data for offshore MPA design and monitoring. In this project we pair eDNA samples collected within current and proposed conservation areas with trawl catch data to create a biodiversity and animal community monitoring time series for these areas. We use eDNA and trawl catch data as complementary tools, where trawl-based catch provides information on fish abundance, size distributions and sex, and eDNA provides information on genetic diversity and can detect cryptic and rare species. Cite this data as: Jeffery, N.W. Monitoring regional conservation areas using paired environmental DNA and research trawl surveys. Published: May 2026. Coastal Ecosystems Science Division, Maritimes Region, Fisheries and Oceans Canada, Dartmouth NS.

Marine Protected Areas require comprehensive monitoring to ensure objectives are achieved; however, monitoring natural ecosystems at scale is challenged by the biodiversity it aims to measure. Environmental DNA (eDNA) metabarcoding holds promise to address this monitoring challenge. We conducted paired sampling at 54 sites for fish and invertebrate assemblages in the Northwest Atlantic using groundfish trawls and eDNA metabarcoding of benthic seawater using four genetic markers (12S rRNA, 16S rRNA, 18S rRNA, and CO1). Compared to trawling, eDNA detected similar patterns of species turnover, larger estimates of gamma diversity, and smaller estimates of alpha diversity. A total of 63.6% (42/66) of fish species captured by trawling were detected by eDNA, along with an additional 26 species. Of the 24 missed detections by eDNA, 12 were inevitable as they lacked reference sequences. Excluding taxa assigned to higher than species level and those without a species name, 23.6% (17/72) of invertebrate species captured by trawling were detected by CO1, which detected an additional 98 species. We demonstrate that eDNA is capable of detecting patterns of community assemblage and species turnover in an offshore environment, emphasizing its strong potential for a non-invasive, comprehensive, and scalable tool for biodiversity monitoring supporting marine conservation programmes.Cite this data as: Jeffery, N., Rubidge, E., Abbott, C., Westfall, K., Stanley, R. (2024): Data of: eDNA metabarcoding enriches traditional trawl survey data for monitoring biodiversity in the marine environment.Published: August 2024. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/43a91ba7-8025-4330-88db-db14022d729d

These themes present the compilation of protected areas in Quebec. They also include important territories. Protected areas include a variety of different legal or administrative designations. Territories registered on the Register of Protected Areas and AMCEAs must meet the definitions of the Natural Heritage Conservation Act (LCPN; RLRQ, chapter C-61.01) or those of the International Union for the Conservation of Nature (IUCN). The LCPN definition of a protected area is “A protected area is a territory, in a terrestrial or aquatic environment, geographically delimited, whose legal framework and administration are specifically aimed at ensuring the protection and maintenance of biological diversity and associated natural and cultural resources”. While IUCN defines it as “A clearly defined, recognized, recognized, dedicated and managed geographic space, by any effective legal or other means, in order to ensure the long-term conservation of nature and associated ecosystem services and cultural values.” Other effective conservation measures (ECMA), an internationally recognized concept, are areas that benefit from measures (legal, regulatory or other) to preserve biodiversity outside protected areas in the long term. Unlike a protected area, an ECMA does not necessarily have an overriding conservation objective, but still generates positive, sustainable and effective results for biodiversity. A territory of importance for conservation is a geographically delimited territory, for which the Ministry of the Environment and, of the Fight against Climate Change, Wildlife and Parks (MELCCFP) or an authority of the Government of Quebec has expressed its intention to prioritize its allocation for the purposes of protected areas.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The data represents an assessment of biodiversity risk for the agricultural area of Alberta in 2002. Biodiversity risk refers to the loss of biological diversity, or the variety of plant and animal life in agricultural landscapes. This map, created in ArcGIS, tries to show where biodiversity could be threatened, such as in areas with significant habitat that coincide with areas of greater agricultural economic activity. Biodiversity is believed to affect the overall health of the environment.

This dataset documents the infauna occurrences collected from 2021 to 2024 during the Canadian Beaufort Sea Marine Ecosystem Assessment (CBS-MEA) conducted by the Department of Fisheries and Oceans (DFO). This scientific program focuses on the integration of oceanography, food web linkages, physical-biological couplings, and spatial and interannual variabilities. The program also aims to expand the baseline coverage of species diversity, abundances, and habitat associations in previously unstudied areas of the Beaufort Sea and Western Canadian Archipelago. The study took place mainly in the Canadian Beaufort Sea and the Amundsen Gulf. Sampling is done along transects at fixed stations in the study area. Catches are collected using a 50 x 50 cm box-corer. Two or three box core are collected per station to obtain replicates. A total of 29 stations were sampled for infauna in 2021, 14 in 2022, 21 in 2023 and 24 in 2024 between 21-653 m depth. Half of the box corer (0.125 m2) is sampled for infauna taxonomy. The first 20 cm of sediment are collected and sieved through a 0.5 mm mesh sieve. The samples are preserved in seawater-formaldehyde solution (10 % v/v). In the lab, infauna is identified to the lowest taxon level possible.The data are presented in two files:The "endofaune_evenement_infauna_event_en" file which contains information about missions, stations and deployments, which are presented under a hierarchical activity structure.The "endofaune_occurrence_infauna_en" file that contains the taxonomic occurrences.

Ontario provincial parks are classified as one of the following : * Wilderness * Nature Reserve * Cultural Heritage * Natural Environment * Waterway * Recreational These parks are managed by Ontario Parks. The [Provincial Parks and Conservation Reserves Act, 2006](http://www.e-laws.gov.on.ca/html/statutes/english/elaws_statutes_06p12_e.htm) guides how these areas are planned and managed. The purpose of the Act is to: * permanently protect a system of provincial parks and conservation reserves * protect Ontario's natural and cultural heritage * maintain biodiversity * provide opportunities for ecologically sustainable recreation Instructions for downloading this dataset: * select the link below and scroll down the metadata record page until you find **Transfer Options** in the **Distribution Information** section * select the link beside the **Data for download** label * you must provide your name, organization and email address in order to access the dataset This product requires the use of GIS software. *[GIS]: geographic information system

Species characterization by environmental DNA (eDNA) is a method that allows the use of DNA released into the environment by organisms from various sources (secretions, faeces, gametes, tissues, etc.). It is a complementary tool to standard sampling methods for the identification of biodiversity. This project provides a list of invertebrates species whose DNA has been detected in water samples collected at 2018 using the marker COI.The surveys were carried out in the summer of 2018 from August 11 to 14, between Forestville and Godbout (Haute-Côte-Nord). Sampling was carried out between 9-52 meters depth in 40 stations with one sample par station. Two liters of water were filtered through a 1.2 µm fiberglass filter. DNA extractions were performed with the DNeasy Blood and Tissue extraction kit (Qiagen). Negative field, extraction and PCR controls were added at the different stages of the protocol. Libraries at the COI locus were prepared by Genome Quebec and sequenced on an Illumina MiSeq PE250 system. The bioinformatics analysis of the sequences obtained was carried out using an in-house analysis pipeline as reported in Bourret et al. 2022. A first step made it possible to obtain a molecular operational taxonomic unit table (MOTU) using the cutadapt software for the removal of the adapters and the DADA2 R package for the filtration, fusion, chimera removal and data compilation. The MOTUs table was subsequently corrected by taking into account the negative controls, where the number of observations in the latter was removed from the linked samples. Singleton MOTUs have also been removed. Finally, the taxonomic assignments were carried out on the MOTUs using the IDTAXA classifier (present in the DECIPHIER R package) using a training set trained on the COI reference bank for Golf St-Laurent (GSL-rl v1.0, https://github.com/GenomicsMLI-DFO/MLI_GSL-rl) and a threshold of 40. Detections with an “Unreliable due to gaps” category were reported at the genus level only.The file provided includes generic activity information, including site, station name, date, marker type, assignment types used for taxa identification, and a list of taxa or species. The list of taxa has been verified by a biodiversity expert from the Maurice-Lamontagne Institute.This project was funded by Fisheries and Oceans Canada's Coastal Environmental Baseline Data Program under the Oceans Protection Plan. This initiative aims to acquire baseline environmental data that contributes to the characterization of significant coastal areas and supports evidence-based assessments and management decisions to preserve marine ecosystems.Data are also available on SLGO platform : https://doi.org/10.26071/ogsl-cd4c205b-f63b

DescriptionConservation of marine biodiversity requires understanding the joint influence of ongoing environmental change and fishing pressure. Addressing this challenge requires robust biodiversity monitoring and analyses that jointly account for potential drivers of change. Here, we ask how demersal fish biodiversity in Canadian Pacific waters has changed since 2003 and assess the degree to which these changes can be explained by environmental change and commercial fishing. Using a spatiotemporal multispecies model based on fisheries independent data, we find that species density (number of species per area) and community biomass have increased during this period. Environmental changes during this period were associated with temporal fluctuations in the biomass of species and the community as a whole. However, environmental changes were less associated with changes in species’ occurrence. Thus, the estimated increases in species density are not likely to be due to environmental change. Instead, our results are consistent with an ongoing recovery of the demersal fish community from a reduction in commercial fishing intensity from historical levels. These findings provide key insight into the drivers of biodiversity change that can inform ecosystem-based management.The layers provided represent three community metrics: 1) species density (i.e., species richness), 2) Hill-Shannon diversity, and 3) community biomass. All layers are provided at a 3 km resolution across the study domain for the period of 2003 to 2019. For each metric, we provide layers for three summary statistics: 1) the mean value in each grid cell over the temporal range, 2) the probability that the grid cell is a hotspot for that metric, and 3) the temporal coefficient of variation (i.e., standard deviation/mean) across all years.Methods:The analysis that produced these layers is presented in Thompson et al. (2022). The analysis uses data from the Groundfish Synoptic Bottom Trawl Research surveys in Queen Charlotte Sound (QCS), Hecate Strait (HS), West Coast Vancouver Island (WCVI), and West Coast Haida Gwaii (WCHG) from 2003 to 2019. Cartilaginous and bony fish species caught in DFO groundfish surveys that were present in at least 15% of all trawls over the depth range in which they were caught were included. This depth range was defined as that which included 95% of all trawls in which that species was present. The final dataset used in our analysis consisted of 57 species (Table S1 in Thompson et al. 2022).The spatiotemporal dynamics of the demersal fish community were modeled using the Hierarchical Modeling of Species Communities (HMSC) framework and package (Tikhonov et al. 2021) in R. This framework uses Bayesian inference to fit a multivariate hierarchical generalized mixed model. We modeled community dynamics using a hurdle model, which consists of two sub models: a presence-absence model and a biomass model that is conditional on presence. Our list of environmental covariates included bottom depth, bathymetric position index (BPI), mean summer tidal speed, substrate muddiness, substrate rockiness, whether the trawl was inside or outside of the ecosystem-based trawling footprint, and survey region (QCS & HS vs. WCVI & WCHG)), mean summer near-bottom temperature deviation, mean summer near-bottom dissolved oxygen deviation, mean summer cross-shore and along-shore current velocities near the seafloor, mean summer depth-integrated primary production, and local-scale commercial fishing effort.Layers are provided for three community metrics. All metrics should be interpreted as the value that would be expected in the catch from an average tow in the Groundfish Synoptic Bottom Trawl Research Surveys taken in a given 3 km grid cell. Species density (sometimes called species richness) should be interpreted as the number of the 57 species that would be caught in a trawl. Hill-Shannon diversity is a measure of diversity that gives greater weight to communities where biomass is spread equally across species. Community biomass is the total biomass across all 57 species that would be expected to be caught per square km in an average tow. Data Sources:Research data was provided by Pacific Science's Groundfish Data Unit for research surveys from the GFBio database between 2003 and 2019 that occurred in four regions: Queen Charlotte Sound, Hecate Strait, West Coast Haida Gwaii, and West Coast Vancouver Island. Our analysis excludes species that are rarely caught in the research trawls and so our estimates would not include the occurrence or biomass of these rare species.Commercial fishing data was accessed through a DFO R script detailed here: https://github.com/pbsassess/gfdata. Local scale commercial fishing effort was calculated from this data. The substrate layers were obtained from a substrate model (Gregr et al. 2021). The oceanographic layers (bottom temperature, dissolved oxygen, tidal and circulation speeds, primary production) were obtained from a hindcast simulation of the British Columbia continental margin (BCCM) model (Peña et al. 2019).Uncertainties:Species that are not well sampled by the trawl surveys may not be accurately estimated by our model. The model did not include spatiotemporal random effects, which likely underestimates spatiotemporal variability in the region. It is also important to underline covariate uncertainty and model uncertainty. The hotspot estimates provide one measure of model uncertainty/certainty.