Forest insect damage event

Shows the location of forest damage in Ontario caused by insects.


Shows areas where forest insect pests have damaged or killed trees by defoliation, foliage mining and wood boring.

Tree mortality rarely occurs as the result of one year’s infestation, but from the result of several consecutive years of infestation and other contributing factors affecting weakened trees (e.g., fungal invasion).

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.


Additional Documentation


Product Packages Status
On going: data is being continually updated

Maintenance and Update Frequency
Unknown: frequency of maintenance of the data is not known

Contact
Calvin Julie, [email protected]

Recommendations
Users of the information stored in this data class should be aware that:- The spatial accuracy coarseness of mapped insect damage events. This fact must be considered for any type of comparison with other data-sets (e.g.: Forest Resource Inventory).- Mapped perimeters represent the gross outer perimeter of the event only. As such, the area within this moderate-severe defoliation can also include roads, cultivated areas, small lakes, or burned areas. Areas reported as defoliated may also include patches of different severity classes, and pockets where no damage has occurred.- Insect pest forest defoliation and mortality are mapped as separate events (which may overlap).- Mapped forest mortality is the result of the cumulative damage over several years of infestations and other abiotic/biotic factors. - Data Class accommodates history, and overlaps will exist in consecutive years between insect damage events.- Other than identifying the event's year, the insect pest agent, the extent of damage (perimeter and ranking), no other information stored in NRVIS.

Datasets available for download

Additional Info

Field Value
Last Updated September 3, 2026, 07:45 (UTC)
Created March 24, 2026, 20:43 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Title
Title for the Dataset.
Forest insect damage event
Description
A description of the dataset.

Shows the location of forest damage in Ontario caused by insects.


Shows areas where forest insect pests have damaged or killed trees by defoliation, foliage mining and wood boring.

Tree mortality rarely occurs as the result of one year’s infestation, but from the result of several consecutive years of infestation and other contributing factors affecting weakened trees (e.g., fungal invasion).

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.


Additional Documentation


Product Packages Status
On going: data is being continually updated

Maintenance and Update Frequency
Unknown: frequency of maintenance of the data is not known

Contact
Calvin Julie, [email protected]

Recommendations
Users of the information stored in this data class should be aware that:- The spatial accuracy coarseness of mapped insect damage events. This fact must be considered for any type of comparison with other data-sets (e.g.: Forest Resource Inventory).- Mapped perimeters represent the gross outer perimeter of the event only. As such, the area within this moderate-severe defoliation can also include roads, cultivated areas, small lakes, or burned areas. Areas reported as defoliated may also include patches of different severity classes, and pockets where no damage has occurred.- Insect pest forest defoliation and mortality are mapped as separate events (which may overlap).- Mapped forest mortality is the result of the cumulative damage over several years of infestations and other abiotic/biotic factors. - Data Class accommodates history, and overlaps will exist in consecutive years between insect damage events.- Other than identifying the event's year, the insect pest agent, the extent of damage (perimeter and ranking), no other information stored in NRVIS.
Tags / Keywords
Keywords/tags categorizing the dataset.
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
Dataset Size
Dataset size in megabytes.
0.09
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
c5fc3a63ee1343f0b9873f439fc1b767
Published Date
Published date of the dataset.
2022-02-14
Time Period Data Span (start date)
Start date of the data in the dataset.
Time Period Data Span (end date)
End date of time data in the dataset.
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
public
License
License used to access the dataset.
Open Government Licence – Ontario
Limits on use
Limits on use of data.
Location
Location of the dataset.
https://ontariogeohub-lio.opendata.arcgis.com/datasets/lio::forest-insect-damage-event
Data Service
Data service for accessing a dataset.
Owner
Owner of the dataset.
LandInformationOntario
Contact Point
Who to contact regarding access?
Land Information Ontario
Contact Point Email
The email to contact regarding access?
[email protected]
Publisher
Publisher of the dataset.
Land Information Ontario
Publisher Email
Email of the publisher.
Author
Author of the dataset.
LandInformationOntario
Author Email
Email of the author.
Accessed At
Date the data and metadata was accessed.
2026-09-02
Field Value
Identifier
Unique identifier for the dataset.
308957e79fce445fa74997c4cf501437
Language
Language(s) of the dataset
English
Link to dataset description
A URL to an external document describing the dataset.
https://ontariogeohub-lio.opendata.arcgis.com/datasets/lio::forest-insect-damage-event
Persistent Identifier
Data is identified by a persistent identifier.
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
Contains data about individuals
Does the data hold data about individuals?
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
Contains Indigenous Data
Does the data hold data about Indigenous communities?
Portal Type
Platform type of the source portal.
Field Value
Version
Version of the datatset
None
Source
Source of the dataset.
None
Version notes
Version notes about the dataset.
Is version of another dataset
Link to dataset that it is a version of.
Other versions
Link to datasets that are versions of it.
Provenance Text
Provenance Text of the data.
Ontario Ministry of Natural Resources and Forestry
Provenance URL
Provenance URL of the data.
Temporal resolution
Describes how granular the date/time data in the dataset is.
GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
Field Value
Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
Community Permission
Community permission (who gave permission).
The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
Field Value
Number of data rows
If tabular dataset, total number of rows.
Number of data columns
If tabular dataset, total number of unique columns.
Number of data cells
If tabular dataset, total number of cells with data.
Number of data relations
If RDF dataset, total number of triples.
Number of entities
If RDF dataset, total number of entities.
Number of data properties
If RDF dataset, total number of unique properties used by the triples.
Data quality
Describes the quality of the data in the dataset.
Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.

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