**NOTE** This layer is being replaced with the new authoritative source for PSP location: [Growth and Yield Plots - Active Status](https://catalogue.data.gov.bc.ca/dataset/5da8d02e-cdd8-40f8-b77e-d359f0e67dcd) Growth and Yield dataset is a provincial data set that comprised of Permanent Sample Plots (PSP). The Ministries and resource developers will want the active sample locations to determine where there are recognized feature conflicts with any resource development

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.

**NOTE** This dataset is going to be replaced by the Data Catalogue layer: [Forest Inventory Ground Plots - Public Access](https://catalogue.data.gov.bc.ca/dataset/6d6d115f-4cc2-4141-909e-3344b3a72bcf) This new layer links to the updated database for all Forest Analysis and Inventory Branch ground sample plots. Growth and Yield dataset is a provincial data set that comprised of Permanent Sample Plots (PSP). Researchers such as GY modellers and those wanting to know the position of all samples will use the all status view to better understand the spatial distribution of historic measurement data including samples that are currently destroyed or inactive

Locations of Forest Management Branch Permanent Sample Plots. The plots are measured every 5 years to compile growth and yield information across the many forest types and regions of the Yukon.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)

The spatial representation for a Public Sustained Yield Unit, which is an area of Crown land, usually a natural topographic unit determined by drainage areas, managed for sustained yield by the Crown through the Ministry of Forests. It includes all Crown lands within the currently established boundaries of the unit and excludes federal lands, provincial parks, experimental forest reserves, gazetted watersheds and tree farm licences. Crown land designated as a public sustained yield unit under Section 6 of the Forest Act. A portion of a TSA

The Forest Analysis and Inventory Branch (FAIB) is responsible for coordinating and managing data collection and analyses from a range of different ground sampling programs that collect data on ground plots. This layer shows ground plots from the PSP and VRI programs. **Vegetation Resource Inventory (VRI):** ground samples primarily used to audit and verify key inventory attributes estimated during photo interpretation. These samples are not protected because they will not be revisited. **Permanent Sample Plots (PSP):** subjectively located fixed-area permanent plots, valued for their long-term re-measurement data to support development of growth-and-yield models in unmanaged stands across a range of stand and ecosystem types. Actual GPS coordinates are provided as protection is necessary. - Active PSPs = plot and buffer are protected from harvesting - Inactive PSPs = not protected from harvesting

Growing degree days (GDDs) are used to estimate the growth and development of plants and insects during the growing season. Growing Degree Day are computed by subtracting a base value temperature from the mean daily temperature and are assigned a value of zero if negative. Base temperatures are a point below which development does not occur for the organism in question. Growing Degree Day products are created for base 0, 5, 10 and 15 degrees Celsius.GDD values are only accumulated during the Growing Season, April 1 through October 31.

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.

The probability of effective growing season degree days above 175 for cool season crops. This condition must be maintained for at least 5 consecutive days in order for EGDD to be accumulated (egdd_cool_175prob).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.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.

The probability of effective growing season degree days above 100 for cool season crops. This condition must be maintained for at least 5 consecutive days in order for EGDD to be accumulated (egdd_cool_100prob).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.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.