Time series of dissolved inorganic nutrients (nitrate, silicate, phosphate) (mmol/m2) at the 3 fixed stations and 46 stations, grouped into transects, of the Atlantic Zonal Monitoring Program (AZMP) under the Quebec region responsibility.The mean integrated nutrient data of 2 strata (0-50 m) et (50-150 m) from the last ten years are displayed as 12 layers, 6 for the June survey (2013-2022, 2020 not sampled) and 6 for the autumn survey (2013-2022). Finally, 2 other layers shows the positions of the fixed stations of the program (Anticosti Gyre, Gaspé Current and Rimouski).Each station is linked with a .png file showing the time series of nutrients and with a .csv file containing all the integrated nutrient data acquired at those stations since the beginning of the program sampling (columns : Station, Latitude, Longitude, Date(UTC), Sounding(m), Depth_min/Profondeur_min(m), Depth_max/Profondeur_max(m), Integrated_Nitrate/Nitrate_intégré(mmol/m²), Integrated_Phosphate/Phosphate_intégré(mmol/m²), Integrated_Silicate/Silice_intégrée(mmol/m²)).PurposeThe Atlantic Zone Monitoring Program (AZMP) was implemented in 1998 with the aim of increasing the Department of Fisheries and Oceans Canada’s (DFO) capacity to detect, track and predict changes in the state and productivity of the marine environment.The AZMP collects data from a network of stations composed of high-frequency monitoring sites and cross-shelf sections in each following DFO region: Québec, Gulf, Maritimes and Newfoundland. The sampling design provides basic information on the natural variability in physical, chemical, and biological properties of the Northwest Atlantic continental shelf. Cross-shelf sections sampling provides detailed geographic information but is limited in a seasonal coverage while critically placed high-frequency monitoring sites complement the geography-based sampling by providing more detailed information on temporal changes in ecosystem properties.In Quebec region, two surveys (46 stations grouped into transects) are conducted every year, one in June and the other in autumn in the Estuary and Gulf of St. Lawrence. Historically, 3 fixed stations were sampled more frequently. One of these is the Rimouski station that still takes part of the program and is sampled about weekly throughout the summer and occasionally in the winter period.Annual reports (physical, biological and a Zonal Scientific Advice) are available from the Canadian Science Advisory Secretariat (CSAS), (http://www.dfo-mpo.gc.ca/csas-sccs/index-eng.htm).Devine, L., Scarratt, M., Plourde, S., Galbraith, P.S., Michaud, S., and Lehoux, C. 2017. Chemical and Biological Oceanographic Conditions in the Estuary and Gulf of St. Lawrence during 2015. DFO Can. Sci. Advis. Sec. Res. Doc. 2017/034. v + 48 pp.Supplemental InformationWater sampling for nutrients analysis is done from Niskin bottles according to AZMP sampling protocol:Mitchell, M. R., Harrison, G., Pauley, K., Gagné, A., Maillet, G., and Strain, P. 2002. Atlantic Zonal Monitoring Program sampling protocol. Can. Tech. Rep. Hydrogr. Ocean Sci. 223: iv + 23 pp.

Bay-scale empirical demonstrations of how bivalve aquaculture alters plankton composition, and subsequently ecological functioning and higher trophic levels, are lacking. Temporal, inter- and within-bay variation in hydrodynamic, environmental, and aquaculture pressure limit efficient plankton monitoring design to detect bay-scale changes and inform aquaculture ecosystem interactions. Here, we used flow cytometry to investigate spatio-temporal variations in bacteria and phytoplankton (< 20 µm) composition in four bivalve aquaculture embayments. We observed higher abundances of bacteria and phytoplankton in shallow embayments that experienced greater freshwater and nutrient inputs. Depleted nutrient conditions may have led to the dominance of picophytoplankton cells, which showed strong within-bay variation as a function of riverine vs freshwater influence and nutrient availability. Although environmental forcings appeared to be a strong driver of spatio-temporal trends, results showed that bivalve aquaculture may reduce near-lease phytoplankton abundance and favor bacterial growth. We discuss aquaculture pathways of effects such as grazing, benthic-pelagic coupling processes, and microbial biogeochemical cycling. Conclusions provide guidance on optimal sampling considerations using flow cytometry in aquaculture sites based on embayment geomorphology and hydrodynamics.Cite this data as: Sharpe H, Lacoursière-Roussel A, Barrell J (2024). Monitoring bay-scale bivalve aquaculture ecosystem interactions using flow cytometry. Version 1.2. Fisheries and Oceans Canada. Samplingevent dataset. https://ipt.iobis.org/obiscanada/resource?r=monitoring_bay-scale_bivalve_aquaculture_ecosystem_interactions_using_flow_cytometry&v=1.2

This map displays the risk of soil degradation by wind in the agricultural region of Alberta. Wind erosion is a concern because it reduces soil quality by removing soil nutrients, smaller soil particles and organic matter. Wind erosion can reduce air quality during extreme erosion events and also reduce water quality if eroded particles drift into streams and lakes. The map uses five classes to describe the wind erosion risk on bare, unprotected mineral soil: negligible, low, moderate, high and severe. This resource was created using ArcGIS. It was originally published as a print map in 1989.

An Element Occurrence (EO) is an area of land and/or water in which a species or ecological community is, or was, present. An Element is either a species (or subspecies taxa) or an ecological community, the Occurrence is the documented location. The EO concept is part of NatureServe methodology. This methodology is used throughout the NatureServe network. EOs are created based on the Element Occurrence Data Standard and are a derived product developed from submitted observations. An EO should have practical conservation value for the Element as evidenced by potential continued (or historical) presence and/or regular recurrence at a given location. For Species Elements, the EO often corresponds with the local population, but when appropriate may be a portion of a population (e.g., for long distance dispersers) or may be a group of nearby populations (e.g., metapopulation). For Ecological Community Elements, the EO may represent a stand or patch of a natural community, or a cluster of stands or patches of a natural community. This dataset contains Sensitive EOs. Sensitive EOs are occurrences of species that are rare (or of conservation concern) and in these cases the precise location details cannot be distributed without due cause. In most cases these locations are not freely available because the species are legally listed (for example, under Schedule 1 of the Species at Risk Act) or are of particular concern to the Alberta government, thus Sensitive EO data in this layer is hazed (generalized) to the Alberta Township System Township (ATS) polygons (v4.1). This data updates on a daily basis.

This map service provides access to the Cratonic Elements dataset shown on the GeoAtlas application.**Please Note – All published Saskatchewan Geological Survey datasets, including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse. They are therefore identical and share the same refresh schedule. This dataset shows the Cratonic Elements of the province of Saskatchewan at 1:1 million scale. This data was compiled using years of bedrock mapping, compiled into a file geodatabase feature class and output for public distribution.

The Multi-Watershed Nutrient Study collected stream water samples from 11 small agricultural watersheds between 2014 and 2020. Samples were collected during flow events like rainfall and snow melt, as well as during baseflow conditions across all four seasons. Samples were collected over the rise, peak, and fall of water during these events in the streams, to collect water chemistry information at a higher frequency than typical for stream water sampling. The dataset includes stream sensor data and flow data from stream monitoring stations, meteorological data from nearby weather stations, and water quality data collected through sampling. See Supplemental Information for station numbers and relevant information. Sample water quality parameters included total phosphorus, total filtered phosphorus, metals, total nitrogen, phosphate, dissolved nitrogen, turbidity, suspended solids, dissolved carbons, and sulphate. Data users are STRONGLY ENCOURAGED to review the associated Summary document prior to using this dataset. Six of the watersheds in the Multi-Watershed Nutrient Study were also sampled during the Pollution from Land Use Activities Reference Group (PLUARG) study conducted in the 1970s. More information on PLUARG can be found by visiting https://atrium.lib.uoguelph.ca/ and searching for PLUARG. High-Frequency water quantity data is provided courtesy of Water Survey of Canada/Government of Canada.

Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT).

This program summarizes long term water chemistry and chlorophyll a monitoring in north central Ontario lakes developed under Canada’s Long Range Transport of Air Pollutants (LRTAP) initiative to understand and track lake acidification caused by atmospheric deposition. Centered on the intensively studied Turkey Lakes Watershed since 1979 and complemented by broader headwater and mesoscale lake networks around Sault Ste. Marie, Ontario, as well as a few locations near Parry Sound, Ontario, the monitoring integrates catchment scale approaches to link atmospheric inputs, watershed processes, and aquatic responses. Water chemistry measurements quantify acid–base status, major ions, nutrients, and trace metals to diagnose sensitivity to acidification, episodic stress during events such as spring snowmelt, and long term chemical recovery following emission controls. Chlorophyll a is used alongside chemistry to indicate phytoplankton biomass, lake productivity, and overall water quality, providing biological context for fish habitat and ecosystem condition. Together, these coordinated datasets support both detailed process studies and regional assessments of lake sensitivity, productivity, and ecological recovery across a heterogeneous landscape.

The Yukon Road Network is the authoritative source of road data for Yukon. This dataset represents road centrelines for road features administered by Government of Yukon. Road features not administered by Government of Yukon are supplied by Canvec Road Network. Please contact [transportation.gis@yukon.ca](mailto:transportation.gis@yukon.ca) with any errors or omissions.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

Data set contains geographical referencing information like: * type of feature or place * location coordinates * geographic township * municipal and map references Also contains places and background information behind their official naming like: * name status * naming date * name origin * naming history This layer used to be distributed under the name "Geographic Name Extent" but was modified to "Geographic Named Extent" in November 2011. [About Geographic Names](https://www.ontario.ca/page/geographic-names)