Description:This dataset consists of monthly mean simulation results from Canada's three Oceans: the Atlantic, Pacific and Arctic from 2015 to 2017.Abstract from the report:A numerical ocean model with biogeochemistry has been developed for a domain that spans Canada's three oceans: the Atlantic, Pacific and Arctic. The domain extends to 26°N in the Atlantic and 44°N in the Pacific, and spans the full width of each basin as well as the whole of the Arctic Ocean. The resolution is moderate to high (≈0.25°, 75 levels). A series of simulations was conducted to assess the best choices for biogeochemical model parameters across the diverse regions, using a variety of validation data sets including satellite ocean colour (surface chlorophyll and particulate organic carbon, integrated primary production), surface underway pCO2, and depth profiles of oxygen and nitrate concentration from ships and Argo floats. In addition to parameter values, processes examined include interactive sediments, fluvial nutrients, light attenuation by fluvial coloured dissolved organic matter (CDOM), and iron limitation. The results indicate that the optimal parameter set is one that limits phytoplankton losses to grazing and other processes so as to ensure strong biological drawdown of dissolved inorganic carbon and nutrients in spring and summer; among the parameter sets tested both insufficient and excessive drawdown were observed. Sensitivity to other processes such as interactive sediments, fluvial nutrients or CDOM attenuation was weak in most regions. In some regions, attenuation by CDOM or sequestration of nutrients in the sediment can substantially reduce primary production and zooplankton biomass, and fluvial nutrients can cause localized reduction of pCO2 by as much as 60 μatm. Iron limitation has an effect on the model solution in regions generally considered iron-replete; building a model that successfully spans iron-limited and non-iron-limited domains will require complete and accurate specification of iron sources and sinks.

This map displays the risk of soil degradation by water in the agricultural region of Alberta. Water erosion is a concern because it reduces soil quality by removing soil particles and nutrients, and reduces water quality if these particles are carried into nearby water bodies. The map uses five classes to describe the water erosion risk on bare, unprotected mineral soil: negligible, low, moderate, high and severe.This resource was created using ArcGIS, originally published as a print map in 1993 .

This table contains information about non-compliances to five sections under The Animal Care Act.This table contains information about the number of non-compliances found to five sections of The Animal Care Act for each year, starting in 2016, to the most recent quarter. This data is populated by the Provincial Animal Welfare Database for the Manitoba Animal Welfare Program and is displayed in the Manitoba Animal Welfare Program – Non-Compliances to The Animal Care Act chart. The table will be updated on a quarterly basis. Fields included [Alias (Field Name): Field description] LookActStatsGrp (LookActStatsGrp): Includes the section under The Animal Care Act for which non-compliances were found Year (Year): Includes the year, beginning in 2016, to the current year (e.g., 2016, 2017, 2018) Month (Month): Includes the numeric value of all months in a calendar year (e.g., 1, 2, 3) Quarter (Quarter): Includes the numeric values of all quarters in a calendar year (e.g., 1, 2, 3, 4), where quarter 1 corresponds with January, February and March, quarter 2 corresponds with April, May and June, quarter 3 corresponds with July, August and September and quarter 4 corresponds with October, November and December YQ (YQ): Includes the year and quarter of the most recent 12 quarters (e.g., 2021 Q1, 2021 Q2 )

The data represents the relative amount of manure production in the agricultural area of Alberta. It is an estimate of the degree to which livestock production may contribute to nutrient loading, pathogens and odour. The classes shown on the map are ranked between 0 (lowest) and 1 (highest). This resource was created in 2002 using ArcGIS.

Ramsar Weltand features are part of the Protected Areas coverage's for Saskatchewan.Ramsar Wetland are Wetlands of international importance for flood control, nutrient production, wildlife habitat and other related purposes. Management procedures to prevent the destruction and deterioration of wetlands through state adherence to an international convention known as RAMSAR, signed in Iran in 1971. One in a series of Protected Areas coverage'screated in 1996 by Canadian Plains Research Centre, University of Regina.

Layer that includes the known information on harbor seal breeding and feeding areas in the Saguenay Fjord, the Estuary and Gulf of St. Lawrence according to a literature review of documents produced between 1968 and 2001.Additional InformationHarbor seal breeding and feeding areas were produced according to a literature review of the following documents: Andersen, A. et M. Gagnon. 1980. Les ressources halieutiques de l'estuaire du Saint-Laurent. Rapp. can. ind. sci. halieut. aquat., 119: iv + 56 p.Communications personnelles par Fournier, C. 1999.Communications personnelles par Gosselin, J-F-. 1996.Communications personnelles par Gosselin. J.-F. 2001.Communications personnelles par Lavigueur, L. 1996.Dignard, N., R. Lalumière, A. Reed et M. Julien. 1991. Les habitats côtiers du nord-est de la Baie James. Publication hors-série no. 70. Environnement Canada, Service canadien de la faune. 30 p. + carte.Enquête auprès des pêcheurs et agents du MEF et du MPO. 1995.Mansfield, A. W. 1968. Seals and walruses. In: Beals, C.S., ed. Science, History and Hudson Bay. Vol. 1. Ottawa: Queen’s Printer. 501 p.

The data represents the relative expense of fertilizer and lime in the agricultural area of Alberta. It is an estimate of the degree to which agriculture may affect nutrient levels in surface and groundwater. The classes shown on the map are ranked between 0 (lowest) and 1 (highest).Mapping the relative values of fertilizer expenses by SLC polygon area is useful as an indication of where more fertilizer is applied in the province and as a proxy indicator for crop production.It also suggests the relative agricultural intensity in various parts of the province. This resource was created in 2002 using ArcGIS.

Cet ensemble de données fournit des informations complètes sur les établissements de garderies éducatives agréés au Nouveau-Brunswick. Il comprend des détails essentiels tels que la région, le district, le numéro d'agrément, le nom de l'établissement, le nom du site de garderies éducatives, le type d'établissement (à temps plein, à temps partiel ou à milieu familial) et l'adresse de l'établissement. En outre, l'ensemble de données précise le nombre de places autorisées, y compris celles pour les nourrissons, les enfants d'âge préscolaire et les enfants d'âge scolaire. Il précise également la langue de service, l'identifiant et le nom de la personne exploitante, et si l'établissement est désigné. À des fins d'analyse spatiale et de cartographie, les coordonnées de latitude et de longitude de chaque établissement sont incluses.

PURPOSE:To quantify impacts of nutrient and sediment loading to plant and animal communities and the environmental conditions that support them in estuaries of the Southern Gulf of St. LawrenceDESCRIPTION:The MEQ monitoring program is being implemented in 35-40 estuaries in the southern Gulf of St. Lawrence (sGSL) to support the development of a MEQ measure (threshold) to promote efforts to address nutrient enrichment in estuaries. The two main indicators included in the monitoring program are dissolved oxygen and eelgrass coverage which are used to assess the trophic status of estuaries within the region. The two factors most important for impacting the trophic status of estuaries are nitrogen loading and water residence time, i.e., water circulation. If water residence time is long and/or nitrogen loading is high, nutrient impacts are likely. A peer-reviewed manuscript has demonstrated that these two factors are predictive of the dissolved oxygen regime in the upper estuary and that publication successfully used dissolved oxygen to ascribe trophic status to estuaries. In a companion paper it was also determined that nitrogen loading was negatively correlated with eelgrass coverage. These two papers form the basis of the MEQ monitoring program (see attached). NOTES ON QUALITY CONTROL:Dissolved oxygen loggers require calibration prior to deployment and are checked for drift after retrieval (though drift isn't anticipated given optical sensor technology). In the event that dissolved oxygen loggers weren't cleared at a frequency sufficient to prevent data errors from occurring these data are removed prior to analysis. Additionally, data must be scrubbed of erroneous measurements which are relatively rare and very apparent. An error code of -888.88 is the primary error for dissolved oxygen loggers. Salinity probes rarely provide erroneous data and when they do it is typically the result of fouling.PHYSICAL SAMPLE DETAILS:Water is sampled bi-weekly to monthly using a Niskin water sampler at a depth of 0.5 m from the water surface, from May-November. Samples are processed in the laboratory in duplicate for chlorophyll a and seston within ~8 hours of being collected.SAMPLING METHODS:For each study estuary, dissolved oxygen is monitored continuously with optical dissolved oxygen loggers in the upper and mid-estuary. Tidal amplitude and salinity (NB and NS only) were also monitored at the upper estuary location only. Depth profiles for other water quality variables are taken at the bi-weekly or monthly scale as well as samples for seston (NB and NS only) and chlorophyll a (a proxy for phytoplankton). These parameters are monitored on a 3-year cycle except for two sites in PE and one site in NB and NS which are monitored annually: West and Wheatley, PE, Cocagne, NB and Pugwash, NS, respectively.Data is collected for eelgrass coverage by a collaborator between June-September, ideally during the same year we collect water quality data.Collaborators include the province of PEI’s Department of Environment, Water and Climate Change and the Southern Gulf of St. Lawrence Coalition on Sustainability.USE LIMITATION:To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian.

The probability of effective growing season degree days above 250 for warm season crops. This condition must be maintained for at least 5 consecutive days in order for EGDD to be accumulated (egdd_warm_250prob).La probabilité prévue pour les semaines 1 et 2 est disponible tous les jours du 1er avril au 31 octobre.La probabilité prévue pour les semaines 3 et 4 est disponible toutes les semaines (jeudi) du 1er avril au 31 octobre.Cumulative heat-energy satisfies the essential requirement of field crop growth and development towards a high yield and good quality of agricultural crop products.Agriculture and Agri-Food Canada (AAFC) and Environment and Climate Change Canada (ECCC) have together developed a suite of extreme agrometeorological indices based on four main categories of weather factors: temperature, precipitation, heat, and wind. The extreme weather indices are intended as short-term prediction tools and generated using ECCC’s medium range forecasts to create a weekly index product on a daily and weekly basis.