This thematic layer shows the location of pesticide stations in surface water monitored as part of various studies. The data comes from an extraction from the BQMA and, when a report is available on the Department's website, the reader can access it from a link in the information window. The dataset on the monitoring of pesticides in surface water also includes a layer of sampling stations, a layer of polygons presenting the drainage areas of some of the stations and finally, a data table including the compilation of land use by year for each of these drainage areas. The drainage areas and the land use table are linked to the sampling stations based on the BQMA station number.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This thematic layer shows the location of the wells sampled for pesticides in the context of various studies carried out near certain target crop environments between 1999 and 2024. The data comes from an extraction from the BQMA and, when a report is available on the Department's website, the reader can access it from a link in the information window. Private well sampling stations are grouped by watershed in order to comply with sections 53 and 54 of the Act on access to documents held by public bodies and on the protection of personal information.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Agri-Environmental Indicator Risk of Water Contamination by Pesticides dataset reports the annual and semi-decadal status of pesticide transport to surface water, the concentration of pesticide in ground water, and the risk of water contamination by pesticide. Products in this data series present results for predefined areas as defined by the Soil Landscapes of Canada (SLC v.3.2) data series, uniquely identified by SOIL_LANDSCAPE_ID values.

The contaminants in fish database is a compilation of contaminant data analysed from fish tissue at the Fresh Water Institute from 1970 to 2005. Data include lab number, region, analysis, organs, species, lake, form (whole fish, headon dressed, headless dressed), weight, and length and contaminant concentrations. Total mercury was the predominant contaminant measured. Results were expressed as ppm or ppb based on the parameter analyzed. Concentrations are expressed based on wet weight.

The data represents the relative expense of farm chemicals (herbicides, insecticides and fungicides) in the agricultural area of Alberta. It is an estimate of the degree to which crop production agriculture may contribute to surface or groundwater contamination.Agriculture production that makes greater use of herbicides, insecticides and pesticides in generally considered more intensive. Presenting the relative farm chemical expenses by SLC polygons reveals where the most intensive agricultural production in the province occurs. Chemical use is part of an equation to determine a measure of surface water quality risk. If an area is known to have certain risk factors that would affect not only surface, but groundwater quality as well, a higher chemical expense index ranking in that same area may be of concern. Where risks of surface or groundwater contamination exist, environmental farm planning can help to minimize them.

Fisheries and Oceans Canada (DFO) Maritime Science Branch has collected grain size data from sediment and water column samples using bottle samples, sediment cores, and sediment grabs as part of numerous research projects not only in the Atlantic provinces, but also worldwide. The data collected by DFO focuses on the fine grained (<1mm) particles as these are both a source of food and means of contaminant transport. Grain size data are used to study the fate and distribution of complimentary chemistries like heavy metals, pesticides, hydrocarbons, aquaculture waste as well as a variety of physical processes such as the resuspension and transport of sediment.

Historical finds of Gilpinia hercyniae

Data show where pathogens - fungal, bacillial or viral - have caused damage by reducing growth rates, tree vigor or have killed trees. Examples of forest diseases include White Pine Blister Rust, Armillaria Root Rot etc. The Government of Ontario tracks forest damage events to help proactively manage the detrimental effects to our forests. We monitor the threat and spread of invasive forest pest insect species in Ontario. The data is also important to the Forest Management Planning process in calculating timber volume loss within affected areas. This product requires the use of geographic information system (GIS) software.

Historical finds of Coleophora laricella

The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. These indicators track facility-based releases to water of 4 substances that are defined as toxic under the Canadian Environmental Protection Act, 1999: mercury, lead, cadmium and arsenic and their compounds. For each substance, data are provided at the national, regional (provincial and territorial) and facility level, as well as by source. The indicators inform Canadians about releases to water of these 4 substances from facilities in Canada. The Releases of harmful substances to water indicators also help the government to identify priorities and develop or revise strategies to inform further risk management and to track progress on policies put in place to reduce or control these 4 substances and water pollution in general.Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated.Canadian Environmental Sustainability Indicators: https://www.canada.ca/environmental-indicators