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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.
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Fish Culture Operation MNR identifies the locations of the Ontario Ministry of Natural Resources (MNR) fish culture stations (or hatcheries) and sub- stations. The data set outlines their property boundaries. This product requires the use of GIS software.
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Designed to represent true ground and bathymetric elevation, this digital elevation model (DEM) covers two sections of the Greater Toronto Area (GTA) along the western shoreline of Lake Ontario: * Hamilton in the west to Niagara-on-the-Lake in the east * Scarborough in the west to Port Hope in the east
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The Ontario Radar Digital Surface Model (DSM) has the following features: * source data: 1 arc second spaceborne C-Band Interferometric Synthetic Aperture Radar (IFSAR) data * Ministry of Natural Resources (MNR) Lambert Conformal Conic Projection * vertical datum in both EGM96 and CGVD28, separately * elevation value: floating * local Polynomial Interpolation from vector elevation points * spatial resolution: 30 meter * asurface elevation model This product offers significant advancements in elevation data in the province. [Read the details about these advancements and other technical specifications,](https://geohub.lio.gov.on.ca/maps/mnrf::ontario-radar-digital-surface-model/) including data processing, major spatial characteristics of the Radar DSM, and the steps to generate the Northern Ontario Radar DSM.
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This historic dataset delineates valley segments based on a number of different natural features. The data applies to valley segments on the Ontario side of the Great Lakes. Aquatic Landscape Inventory System (ALIS) has also been incorporated into the [Aquatic Ecosystem Classification: Great Lakes Basin and Wetlands Data Class](/dataset/aquatic-ecosystems-in-the-great-lakes-basin) and the Great Lakes Conservation Blueprint for Aquatic Biodiversity datasets. We are no longer updating this data. It is best suited for historical research and analysis.
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Two classes of beaches are distinguished, those with infrastructure and those without. Beaches with infrastructure: open sandy beaches along the shore of a great lake, within approximately 200 meters of a structure. Beaches without infrastructure: open sandy beaches along the shore of a great lake, not within 200 meters of a structure. The Southern Ontario Land Resource Information System didn't digitize beaches. Beaches were digitized by Austin Troy from Google Earth. This product requires the use of GIS software. *[GIS]: geographic information system
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This dataset shows the boundaries of systems of natural heritage features and areas, lands and waters that support connectivity and have significant ecological value. It includes areas defined in provincial plans such as the: * [Greenbelt Plan](https://www.ontario.ca/document/greenbelt-plan-2017) * [Oak Ridges Moraine Conservation Plan](https://www.ontario.ca/page/oak-ridges-moraine-conservation-plan-2017) * [Niagara Escarpment Plan](https://www.escarpment.org/LandPlanning/NEP) * [Growth Plan for the Greater Golden Horseshoe](https://www.ontario.ca/document/place-grow-growth-plan-greater-golden-horseshoe) This dataset does not include modifications to systems made by municipal governments as part of their official plans.
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Miscellaneous events are often the result of the cumulative impact of a combination of abiotic, insect and disease agents or events. For example, Aspen decline where repeated infestations of Forest Tent Caterpillar, are combined with several seasons of prolonged drought. 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.
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## Get data on areas where outdoor fires are not permitted. This dataset shows areas where outdoor fires are restricted in accordance with the [Forest Fires Prevention Act](https://www.ontario.ca/laws/statute/90f24). There are two reasons why a restricted fire zone is in effect: * outdoor conditions are extremely dry * the number of fires occurring has stretched firefighting resources to capacity A restricted fire zone is a temporary measure for extreme situations and is lifted as soon as conditions permit. The [Forest Fire Info Map](https://www.lioapplications.lrc.gov.on.ca/ForestFireInformationMap/index.html?viewer=FFIM.FFIM) shows active fires, current fire danger and restricted fire zones in place due to high fire danger.
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This data covers the entire Far North from 2005-2011. The data is provided in both grid and vector formats. It is broken into layers that cover UTM zones 15, 16 and 17. Layers representing each level of the classification hierarchy described in the data specs have been provided: * class * group * section Can be used to create a consistent map to meet regional - to landscape level analysis (1:100,000).
Arctic SDI catalogue