Sensitive Ecosystems Inventory (SEI) Detailed Polygons with Short Attribute Table Spatial View
Published by Knowledge Management
About this dataset
Sensitive Ecosystems Inventory (SEI) Detailed Polygons (STE_SEI_ATTRIBUTE_POLYS_SVW) contains SEI inventory polygons with key and amalgamated (concatenated) attributes derived from the Resource Inventory Standards Committee (RISC) standard attributes. This layer is derived from the STE_TEI_ATTRIBUTE_POLYS_SP layer by filtering on the PROJECT_TYPE attribute. Project types include: SEI, TEMSEI, TEMSET, SEIWHR and NEMSEI. SEI identifies and maps rare and fragile terrestrial ecosystems. Ecosystems mapped may include (but are not limited to) older forests, woodlands, coastal bluffs, herbaceous and sparsely vegetated ecosystems, grasslands, riparian ecosystems and wetlands. SEI methods include manual air photo interpretation or theming of other Ecosystem Mapping, each supported by selective field checking. SEI Detailed Polygons should be used in conjunction with SEI Project Boundaries which contain boundaries (study areas) and attributes describing each project (project level metadata), plus links to the locations of other data associated with the project (e.g., reports, polygon datasets, plotfiles, legends). SEI inventory polygons with full RISC attributes can be accessed through the Terrestrial Ecosystem Information (TEI) Data Distribution Packages. Current version: v12 (2026-06-22)
Tags
- BGC
- Canada
- DTEIF
- Drainage
- PEM
- SEI
- STE
- STEWI
- TEIS
- TEM
- TER
- TSM
- WHR
- biogeoclimatic
- bioterrain
- bioterrain mapping
- describing terrestrial ecosystems
- ecology
- ecosystem
- ecosystem mapping
- ecosystem modelling
- erosion
- landslide
- predictive ecosystem mapping
- sedimentation
- sensitive ecosystem
- sensitive ecosystems inventory
- slope stability
- soil
- terrain
- terrain and ecosystems
- terrain inventory mapping
- terrain mapping
- terrain stability
- terrain stability mapping
- terrestrial ecosystem mapping
- wildlife habitat rating
- wildlife inventory