Leaf area index (LAI) quantified the density of vegetation irrespective of land cover. LAI quantifies the total foliage surface area per groud surface area. LAI has been identified by the Global Climate Observing System as an essential climate variable required for ecosystem,weather and climate modelling and monitoring. This product consists of annual maps of the maximum LAI during a grownig season (June-July-August) at 100m resolution covering Canada's land mass.

Last Spring Frost (-4 °C) is defined as the average day, during the first half of the year, of the last occurrence of a minimum temperature at or below -4 °C. These values are calculated across Canada in 10x10 km cells.

A magnitude 5.9 earthquake near Montreal, along the Milles-Îles Fault. This fault is not known to be active, but this scenario represents a small but damaging event near the City of Montreal.

In 1997, a magnitude 4.6 earthquake occurred 3 to 4 km beneath the Strait of Georgia. This scenario visualizes the effects of that event if it had a magnitude of 7.0, and represents a strong ground shaking event that could strike Metro Vancouver.

The Community Pasture Program was a land-management service provided in the Prairie provinces. The program ended on March 31, 2019. The geographic data series that was associated with the program included information about program geography and facilities, including representations of fences and the fields they enclose, pasture outlines and features such as corrals, dams and gates. The information provided in this series is for reference purposes only.

Statistically downscaled multi-model ensembles of maximum temperature are available at a 10km spatial resolution for 1951-2100. Statistically downscaled ensembles are based on output from twenty-four Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models (GCM). Daily maximum temperature from GCM outputs were downscaled using the Bias Correction/Constructed Analogues with Quantile mapping version 2 (BCCAQv2). A historical gridded maximum temperature dataset of Canada (ANUSPLIN) was used as the downscaling target. The 5th, 25th, 50th, 75th and 95th percentiles of the monthly, seasonal and annual ensembles of downscaled maximum temperature (°C) are available for the historical time period, 1951-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100. Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

Seasonal and annual multi-model ensembles of projected relative change (also known as anomalies) in mean precipitation based on an ensemble of twenty-nine Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models are available for 1901-2100. Projected relative change in mean precipitation is with respect to the reference period of 1986-2005 and expressed as a percentage (%). The 5th, 25th, 50th, 75th and 95th percentiles of the ensembles of mean precipitation change are available for the historical time period, 1901-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100. Twenty-year average changes in mean precipitation (%) for four time periods (2021-2040; 2041-2060; 2061-2080; 2081-2100), with respect to the reference period of 1986-2005, for RCP2.6, RCP4.5 and RCP8.5 are also available in a range of formats. The median projected change across the ensemble of CMIP5 climate models is provided. Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

30-year Average Number of Days with Temperature above 32 °C are defined as the count of the number of climate days during the month where the maximum daily temperature was greater than 32 °C. These values are calculated across Canada in 10x10 km cells.

The objectives of the fish component of the integrated oil sands monitoring program are to provide the necessary data/information to address key questions related to both environmental health of fish populations and fish health issues that can be used to inform human use and consumption. The questions underlying the fish monitoring design are related to the status and health of wild fish populations in the Lower Athabasca River including and in an expanded geographical extent. Data is being collected to provide a baseline against which future changes in fish populations will be evaluated, and compared to data from historical studies to assess change over time to the current state. Data is also being collected in areas of new oil sands development, to develop baseline data for future site-specific comparisons, contribute to an expanded geographic basis of the overall monitoring plan, and contribute to an improved ability to examine cumulative effects.

Changes in phytoplankton abundance and community composition have the potential to impact the entire food web and alter ecosystem productivity and biogeochemical cycles. Recognizing its importance, Fisheries and Oceans Canada (DFO) established a phytoplankton monitoring program on the Pacific coast of Canada based on phytoplankton pigment measurements. Phytoplankton pigments (chlorophylls and carotenoids) and ancillary data are collected annually on DFO cruises at multiple locations in waters of the northeast subarctic Pacific and the west coast of Canada. Water samples are collected at discrete depths in the upper layer and analyzed by high-performance liquid chromatography (HPLC).