14 Class - Canadian Ecological Domain Classification from Satellite Data. Satellite derived data including 1) topography, 2) landscape productivity based on photosynthetic activity, and 3) land cover were used as inputs to create an environmental regionalization of the over 10 million km2 of Canada’s terrestrial land base. The outcomes of this clustering consists of three main outputs. An initial clustering of 100 classes was generated using a two-stage multivariate classification process. Next, an agglomerative hierarchy using a log-likelihood distance measure was applied to create a 40 and then a 14 class regionalization, aimed to meaningfully group ecologically similar components of Canada's terrestrial landscape. For more information (including a graphical illustration of the cluster hierarchy) and to cite this data please use: Coops, N.C., Wulder, M.A., Iwanicka, D. 2009. An environmental domain classification of Canada using earth observation data for biodiversity assessment. Ecological Informatics, Vol. 4, No. 1, Pp. 8-22, DOI: https://doi.org/10.1016/j.ecoinf.2008.09.005. ( Coops et al. 2009).

100 Class - Canadian Ecological Domain Classification from Satellite Data. Satellite derived data including 1) topography, 2) landscape productivity based on photosynthetic activity, and 3) land cover were used as inputs to create an environmental regionalization of the over 10 million km2 of Canada’s terrestrial land base. The outcomes of this clustering consists of three main outputs. An initial clustering of 100 classes was generated using a two-stage multivariate classification process. Next, an agglomerative hierarchy using a log-likelihood distance measure was applied to create a 40 and then a 14 class regionalization, aimed to meaningfully group ecologically similar components of Canada's terrestrial landscape. For more information (including a graphical illustration of the cluster hierarchy) and to cite this data please use: Coops, N.C., Wulder, M.A., Iwanicka, D. 2009. An environmental domain classification of Canada using earth observation data for biodiversity assessment. Ecological Informatics, Vol. 4, No. 1, Pp. 8-22, DOI: https://doi.org/10.1016/j.ecoinf.2008.09.005. ( Coops et al. 2009).

40 Class - Canadian Ecological Domain Classification from Satellite Data. Satellite derived data including 1) topography, 2) landscape productivity based on photosynthetic activity, and 3) land cover were used as inputs to create an environmental regionalization of the over 10 million km2 of Canada’s terrestrial land base. The outcomes of this clustering consists of three main outputs. An initial clustering of 100 classes was generated using a two-stage multivariate classification process. Next, an agglomerative hierarchy using a log-likelihood distance measure was applied to create a 40 and then a 14 class regionalization, aimed to meaningfully group ecologically similar components of Canada's terrestrial landscape. For more information (including a graphical illustration of the cluster hierarchy) and to cite this data please use: Coops, N.C., Wulder, M.A., Iwanicka, D. 2009. An environmental domain classification of Canada using earth observation data for biodiversity assessment. Ecological Informatics, Vol. 4, No. 1, Pp. 8-22, DOI: https://doi.org/10.1016/j.ecoinf.2008.09.005. ( Coops et al. 2009).

Description:Biophysical Units: Under the Pacific Marine Ecological Classification System (PMECS; DFO 2016; Rubidge et al. 2016), biophysical units are areas of distinct physiographic and oceanographic conditions and processes that shape species composition at spatial extents of 1000s of km. Geomorphic units:Geomorphic units or geozones are discrete geomorphological structures at the scale of 100s of km that are assumed to have distinctive biological assemblages (e.g., plateaus, ridges, seamounts, canyons). Although the spatial scale of geomorphic units is nested within biophysical units, a single geomorphic unit such as a trough may span more than one biophysical unit. The following 5 layers are included in this geodatabase:1. Biophysical_Units_L4A - Predicted PMECS Biophysical Units (Level 4A) output from the random forest analysis2. Biophysical_Units_L4B - Predicted PMECS Biophysical Units (Level 4B) output from the random forest analysis3. Biophysical_Units_ProbAssign_L4AB - Layer showing the probability that a grid cell was assigned to a given biophysical unit in the final random forest predictive modelling step4. Cluster_L4AB - Layer showing the output of species assemblage cluster analysis5. Geomorphic_Units - Geomorphic units for the BC coast that combines geomorphic units produced by Rubidge et al. 2016) and Proudfoot and Robb (2022).Methods:Biophysical Units:Rubidge et al. (2016) used a two-step process to identify biophysical units in British Columbia. First, a cluster analysis based on the similarity of species composition was used to group sites with similar species into distinct biological assemblages. Second, a random forest analysis was used to identify environmental correlates of the biological assemblages identified by the cluster analysis and to predict and assign the biological assemblage present in areas with too few biological data. Two different similarity thresholds were used to identify two levels (4A, 4B) of biophysical units; see Rubidge et al. (2016) for details. Indicator species for each assemblage (biophysical unit) were also identified.Geomorphic units:Rubidge et al. (2016) used the benthic terrain modeller (BTM) tool with broad and fine-scale benthic positioning index (BPI) parameters to define geomorphic units on the continental shelf in the Northern Shelf Bioregion and the continental slope in both the Northern Shelf Bioregion and Southern Shelf Bioregion. In 2022, geomorphic units were produced for the Strait of Georgia and Southern Shelf Bioregions following the same methods as Rubidge et al. (2016) (Proudfoot and Robb 2022). The geomorphic units produced as part of the PMECS process were merged with the geomorphic units produced for the Strait of Georgia and Southern Shelf bioregions to produce a continuous spatial data product representing geomorphic units for the Canadian Pacific continental shelf and slope. After merging, the geomorphic units produced in 2016 were unchanged (i.e., they are consistent with the original geomorphic units described in Rubidge et al. 2016).Data Sources:From Rubidge et al. (2016): Species data was taken from Fisheries and Oceans Canada (DFO) standardized fisheries-independent research surveys: groundfish trawl and long-line (2003-2013), Tanner Crab trawl and trap (2000–2006), and Dungeness Crab trap (2000–2014). Environmental data came from NASA, the Canadian Hydrographic Service, Fisheries and Oceans Canada, Bio-ORACLE, and elsewhere (details in Rubidge et al. 2016). From Proudfoot and Robb (2022): bathymetry data came from Natural Resources Canada (details in Proudfoot and Robb 2022).Uncertainties:The data is intended for use at the bioregional scale, and caution should be used for finer-scale analyses.

For most recent Ecological Land Classification data, see: https://data.novascotia.ca/d/q6zd-39t3 The Ecological Land Classification (ELC) for Nova Scotia provides a hierarchical mapping of the province's forest ecosystems into ecosections, ecodistricts and ecoregions. It includes interpretation of the dominant natural disturbance regimes and potential climax forests at the ecosection level.

Ecoregion - Seven New Brunswick Ecoregions delineate areas that are different with regard to climate (precipitation and temperature), based principally on elevation above sea level and marine influences.Ecodistrict - Ecodistricts are nested subdivisions of Ecoregions based on geomorphologic and lithologic differences. The correct way to quote an ecodistrict number is to quote both its ecoregion and ecodistrict numbers, separated by a dash, e.g.: 2-1 denotes the Upsalquitch Ecodistrict in the Northern Uplands Ecoregion.Ecosection - Ecosections are nested subdivisions of Ecoregions based on topographic and relief differences. The correct way to quote an ecosection number is to quote its ecoregion, ecodistrict, and ecosection numbers, each separated by a dash, e.g.: 2-1-3 denotes Ecosection 3 of the Upsalquitch Ecodistrict in the Northern Uplands Ecoregion.Ecosite - Ecosites capture individual landforms that in theory outline a single forest ecosystem type at the 1:50,000 mapping scale. They are more-or-less uniform with regard soil moisture regime, soil nutrient regime, and topoclimate. Within ecoregions, each ecosite may be presumed to have similar vegetation potential in terms of native species composition, forest cover type, and timber growth rate (although the situation on the ground often deviates from what is mapped due to mapping imprecision and/or vegetation disturbance). To most narrowly describe an ecosite’s landscape context, the correct way to label it is to quote its ecoregion, ecodistrict, ecosection, and ecosite numbers, each separated by a dash, e.g.: 2-1-3-7 denotes Ecosite 7 in Ecosection 3 of the Upsalquitch Ecodistrict (1) in the Northern Uplands Ecoregion (2).For more information, see Department of Natural Resources 2007. Our landscape heritage [electronic resource] : the story of ecological land classification in New Brunswick. General editor: Vincent F. Zelazny. -- 2nd ed.

The Ministry of Natural Resources defines ecological units on the basis of bedrock, climate (temperature, precipitation), physiography (soils, slope, aspect) and corresponding vegetation. This enhances their compatibility with national and continental classification systems. The ecological land classification (ELC) of Ontario is used for descriptive, planning, and resource management purposes. The upper levels in its hierarchy may be relevant for provincial and municipal land-use planning initiatives. The lower (finer-scale) levels of the hierarchy are most useful for detailed resource management prescriptions and other local and site planning applications. This packaged dataset is classified into 3 hierarchical categories: * Ecozone: used for national and coarse-scale provincial reporting such as analyses of climate, demographics and watersheds * Ecoregion: used for determining the significance or status of wetland classes and certain other natural heritage features (e.g., old growth forest), setting targets for Wilderness Class Provincial parks, State of the Forest reporting and studying natural disturbance regimes * Ecodistrict used for assessing biodiversity levels, defining seed zones, mapping ecosystem types and setting targets for the identification of natural heritage systems [Introduction to ecological land classification](https://www.ontario.ca/page/introduction- ecological-land-classification-systems)

The ecological classification of Quebec territory consists of mapping and describing ecological units in a system with nine levels of perception between the continental and landscape scales. It presents the diversity of terrestrial ecosystems in all of Quebec taking into account both the characteristics of the vegetation (physiognomy, structure and composition) and the physical environment (relief, geology, geomorphology, hydrography). The nine levels that compose it are: the vegetation zone and sub-zone at the continental scale (1,000,000 km2), the bioclimatic domain and sub-domain at the national level (100,000 km2), the ecological region and subregion at the regional scale (10,000 km2) and the regional landscape unit, the ecological district and the vegetation stage at the landscape scale (10,000 km2) and the regional landscape unit, the ecological district and the vegetation stage at the landscape scale (100 to 1,000 km2).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Ecological Land Mass (ELM) classification was established through the 2020 National Interest Land Mass (NILM) Update. ELM lands describe ecological corridors that have inherent natural values and that protect Species at Risk (SAR) and their habitats. The classification identifies lands to protect in perpetuity through planning and partnership efforts. ELM was derived from two separate analyses - the Ontario side from the AECOM natural linkages analysis (2012) and the Quebec side from Del Degan, Masse (DDM) ecological corridors analysis (2012). Adjustments were made as appropriate.

The Ecological Land Classification (ELC version 2015) for Nova Scotia provides a hierarchical mapping of the province's forest ecosystems into ecosections, ecodistricts and ecoregions. It includes interpretation of the dominant natural disturbance regimes and potential climax forests at the ecosection level.