This data set shows the notices and alerts published on [the City of Montreal's website] (https://montreal.ca/avis-et-alertes). Advisories and alerts provide important information to the public in case of emergency and in situations that may have an impact on daily life (boil water advisory, construction, pool closure, etc.).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Precipitation (moisture availability) establishes the economic yield potential and product quality of field crops. Both dry and wet precipitation extremes have the ability to inhibit proper crop growth. The maximum daily precipitation index covers the risk of excessive precipitation in the short term, while the other indices pertain to longer term moisture availability. Agriculture is an important primary production sector in Canada. Agricultural production, profitability, sustainability and food security depend on many agrometeorological factors. Extreme weather events in Canada, such as drought, floods, heat waves, frosts and high intensity storms, have the ability to significantly impact field crop production. 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 basis.

This layer contains current Landscape Reserve Design (LRD) polygons associated the Great Bear Rainforest. The spatial data layer excludes sensitive information and is publicly viewable and downloadable. This data represents legally established and spatially defined LRD areas and are designed to meet Great Bear Rainforest requirements for Old Forest representation, Indigenous features and resources, wildlife values, and rare and endangered ecosystems that are identified during landscape unit planning or operational planning processes. Forest licensees are required to implement Ecosystem Based Management during operational planning processes to concurrently maintain ecosystem integrity and improve human well-being. This spatial view displays the current legal polygons, with more to be added as LRDs are established. This data is viewable in iMapBC by adding this layer name: ***Landscape Reserve Design – GBRO - legal***.

Environmental monitoring stations (EnMoDS) points coverage for the Province by sampling locations and sampling location groups. Information regarding changes from the Environmental Monitoring System along with other resources are available on the EnMoDS website listed in related links below.

The dataset contains projects that are currently, or have been, subject to environmental assessment review. Attributes include the project description, project phase, decision, and proponent name. This layer consists of points themed two ways: a. Project Phase- This theme consists of layers showing what phase each project is in - pre-EA, application review, post-decision, and withdrawn or terminated; and b. Project Type - This theme consists of nine layers that reflect the potential types of projects under review. This dataset is coming from the EAO Project Information Centre (EPIC) and is updated daily. For more information on any of the project points go to https://projects.eao.gov.bc.ca/.

The probability of maximum wind above 70km/h (mdws70_prob). Week 1 and week 2 forecasted probability is available daily from September 1 to August 31. Week 3 and week 4 forecasted probability is available weekly (Thursday) from September 1 to August 31. Winds can significantly influence crop growth and yield mainly due to mechanical damage of plant vegetative and reproductive organs, an imbalance of plant-soil-atmosphere water relationships, and pest and disease distributions in agricultural fields. The maximum wind speed and the number of strong wind days over the forecast period represent short term and extended strong wind events respectively. 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.

Probability of 10-day precipitation total above 100mm (p10d_prob100). Week 1 and week 2 forecasted probability is available daily from September 1 to August 31. Week 3 and week 4 forecasted probability is available weekly (Thursday) from September 1 to August 31. Precipitation (moisture availability) establishes the economic yield potential and product quality of field crops. Both dry and wet precipitation extremes have the ability to inhibit proper crop growth. The greatest daily precipitation index covers the risk of excessive precipitation in the short term, while the other indices pertain to longer term moisture availability. 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.

The Probability (likelihood) of heat wave days for warm season crops occurring. Heat wave days: The number of days in the forecast period with a maximum temperature above the cardinal maximum temperature, the temperature at which crop growth ceases. This temperature is 35°C for warm season crops (dhw_warm_prob). Week 1 and week 2 forecasted probability is available daily from April 1 to October 31. Week 3 and week 4 forecasted probability is available weekly (Thursday) from April 1 to October 31. Warm season crops require a relatively warm temperature condition. Typical examples include bean, soybean, corn and sweet potato. They normally grow during the summer season and early fall, then ripen in late fall in southern Canada only. Other agricultural regions in Canada do not always experience sufficiently long growing seasons for these plants to achieve maturity. The optimum temperature for such crops is 30°C. 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.

Mapping of sites and infrastructures administered by Quebec City and certain private institutions.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This layer is the authoritative source for locating Active Status Growth and Yield plots also known as Permanent Sample Plots (PSPs). These plots are protected and require an additional minimum windfirm buffer of 50m radius in the interior and 100m radius on the coast. These are generally 16m radius fixed area. Therefore, protected areas need to be a minimum of 66m radius around the plot centre in the interior and 116m radius on the coast. Best practices are to locate the plot centre on the ground. Coordinate accuracy varies. Please contact Anya Reid (Anya.Reid@gov.bc.ca) with questions or updated coordinates for plots. NOTE: Accuracy of the coordinates are variable. Coordinates for plots with a more recent (since 2000) last measurement are generally quite accurate (3m). However, plots measured in the 1990's have a wide range of coordinate accuracy. In all cases, it is necessary to ground truth plot location before block layout. In this spatial layer, low accuracy coordinates are buffered 300m to ensure they do not get missed from development planning. This layer replaces the [Growth and Yield Samples – Active Status](https://catalogue.data.gov.bc.ca/dataset/0ca49478-5d0f-44e8-b6af-3fd6e387803c) layer with more accurate and current information from the Inventory Sample Management Consolidation (ISMC) database.