Sensitive Ecosystems Inventory (SEI) project boundaries (study areas) contains attributes describing each project (project level metadata), and includes links to the locations of other data associated with the project (e.g. reports, polygon datasets, plot files). SEI identifies and maps rare and fragile terrestrial ecosystems in a given area for the purpose of encouraging land-use decisions that will ensure the continued integrity of these ecosystems. This layer is derived from the STE_TEI_PROJECT_BOUNDARIES_SP layer by filtering on the PROJECT_TYPE attribute. Project types include: SEI, TEMSEI, TEMSET, TEMSEW and SEIWHR. Current version: v11 (published on 2024-10-03) Previous versions: v10 (published on 2023-11-14), v9 (published on 2023-03-01), v8 (published on 2016-09-01)

The TEI Data Distribution packages in this folder contain of the full Terrestrial Ecosystem Information (TEI) dataset split into Predictive Ecosystem Mapping (PEM) data and non-PEM data which includes Terrestrial Ecosystem Mapping (TEM), Terrain Mapping (TER), Bioterrain Mapping (TBT) Terrain Stability Mapping (TSM), Sensitive Ecosystems Inventory (SEI), Soil Mapping (SOIL project boundaries only), and Wildlife Habitat Ratings (WHR project boundaries only) by Natural Resource Sector Region (see Index map .pdf). Data includes the Project Boundaries (with project metadata and links to related data such as reports), Long Table (detailed mapping polygons with the full RISC standard attribute table), Short Table (detailed mapping polygons with key and amalgamated (concatenated) attributes derived from Long Table), On-site Symbol features (point, line or polygon terrain features such as landslide tracks, scarps), Sample Sites (field sampling locations), and any user-defined tables. The data dictionary is also available. This data is in file geodatabase format. Current version: v11 (published on 2024-10-03) Previous versions: v10 (published on 2023-11-14), v9 (published on 2023-03-01), v8 (published on 2016-09-01) Note that the Soil Mapping dataset is available from: http://www.env.gov.bc.ca/esd/distdata/ecosystems/Soil_Data/SOIL_DATA_FGDB/

Source: Sensitive Ecosystems Inventory for East Vancouver Island and Gulf Islands, Province of British Columbia.This layer is part of the City of Victoria's Official Community Plan (OCP), which provides a long-term vision for how the community will grow and change over the next 30 years. OCP layers are maintained by our Community Planning department. Updates are submitted to GIS staff on an as-needed basis, to be copied to VicMap and our Open Data Portal. For the most accurate, up to date OCP data please refer directly to the Official Community Plan.More information about the OCP is available on our website:https://www.victoria.ca/EN/main/residents/community-planning/official-community-plan.htmlThe "Last Updated" date shown on our Open Data Portal refers to the last time the data schema was modified in the portal, or any changes were made to this description. We update our data through scripts which does not trigger the "last updated" date to change.Note: Attributes represent each field in a dataset, and some fields will contain information such as ID numbers. As a result some visualizations on the tabs on our Open Data page will not be relevant.

BC Parks developed a model that independently rates marine and terrestrial segments of the British Columbia coastline according to their sensitivity to sea level rise, then spatially combines the ratings to build a map of relative shoreline sensitivity. Ratings were developed using an existing biogeographic land classification dataset (Broad Ecosystem Inventory), and previously rated sensitivity of coastal and marine feature classes (ShoreZone), modified to account for the effects of slope, exposure and sediment mobility.

The Lake Winnipeg Foundation (LWF), an environmental non-government organization, was established in 2005 to restore and protect the health of Lake Winnipeg and its watershed. In 2010, with support from the Lake Winnipeg Basin Stewardship Fund (LWBSF) LWF undertook a project to enhance research and monitoring capacity in support of decision-making capacity for Lake Winnipeg. Based on an ecosystem assessment model developed by the Community Mapping Network in British Columbia (Mason and Knight, 2001; Mason and Booth, 2004) and applied to several provincial lakes, a proposal for a “Sensitive Habitat Inventory and Mapping (SHIM) of Foreshore Areas of Lake Winnipeg South Basin and Development of Shoreline Management Guidelines” was prepared by LWF and submitted to the LWBSF.

With funding awarded by the LWBSF and additional support from Thomas Sill Foundation, Fisheries and Oceans Canada and Small Change Fund, LWF co-ordinated the Lake Winnipeg SHIM project. The team of environmental specialists assembled by LWF undertook field data collection, data analyses, report preparation, data product development and project management, and included: Terra Limnic Consulting (Winslaw, B.C.), Native Plant Solutions (Ducks Unlimited Canada, Winnipeg, Man.), Aquatic Environmental Services (St. Andrews, Man.); Whelan Enns Associates Inc. (Winnipeg, Man.), Benson Fishers (Gimli, Man.), the University of Manitoba, and Washington State University.

In addition to providing science-based information on Lake Winnipeg south basin shorelines, SHIM data can be used to locate point and non-point nutrient sources, identify priority aquatic ecosystems that support nutrient reduction and sequestration, and achieve overall nutrient load reductions to the lake, the ultimate goal of the LWBSF program. Scientific studies indicate that most nutrients to Lake Winnipeg come from sources closest to the lake (The State of Lake Winnipeg Report, 2011). Communities and infrastructure situated directly adjacent to Lake Winnipeg pose significant risks to water quality from nutrient and contaminant loading, and to fish and wildlife from shore habitat alteration, disruption or destruction.

Creating a baseline inventory of existing Lake Winnipeg south basin shoreline conditions is the first step in preparing an integrated master plan for any future sustainable development. All shoreline activities require that regulators have access to science-based information to guide decisions for the protection, rehabilitation or development of shoreline areas. The Lake Winnipeg SHIM is a first attempt to provide some of this missing information.

The SHIM Reports; • Foreshore Inventory Mapping, • Ecological Habitat Index Ranking, • An Overview of Fish and Fish Habitat in the Littoral Zone of the Lake Winnipeg South Basin, and • Survey of Avian and Vegetation Communities in the Littoral and Riparian Zones of the Lake Winnipeg South Basin,

Section A contains the Citizens Report. Section B includes: The Foreshore Inventory Mapping report and the Shoreline Habitat Inventory Mapping report.

The Ecological Habitat Index for the SHIM fieldwork data analysis is included here also.

Section C are the Recommendations arising from this first demonstration SHIM project for a Manitoba Lake. A preface written by Alex Salki, project lead for the Lake Winnipeg Foundation describes the project.

Section D includes the References and Sources, and all other appendices, and attachments.

There are two Acknowledgements listings: in the Citizens Report, and at the beginning of the SHIM report.

Each section of the SHIM 2011-2012 report begins with a cover page that lists the contents for that section.

Lake Winnipeg Foundation Inc. (LWF), a charitable, non-government organization, was established in 2005 to promote the restoration and protection of Lake Winnipeg and its watershed. In 2010, the Lake Winnipeg Basin Stewardship Fund (LWBSF) presented an opportunity for the LWF to propose a project that would enhance research and monitoring capacity to assist in decision making for Lake Winnipeg. Based on an ecosystem assessment model developed by the Community Mapping Network in British Columbia (Mason and Knight, 2001; Mason and Booth, 2004) and applied to several provincial lakes, a proposal “Sensitive Habitat Inventory and Mapping of Foreshore Areas of Lake Winnipeg South Basin and Development of Shoreline Management Guidelines” was prepared by the LWF and submitted to the LWBSF.

With funding awarded by the LWBSF and additional support from Thomas Sill Foundation, Fisheries and Oceans Canada, and the Small Change Fund, the LWF coordinated the Lake Winnipeg SHIM project. The team of environmental specialists assembled by the LWF undertook field data collection, data analyses, report preparation, data product development, and project management and included: Terra Limnic Consulting (Winslaw, BC), Native Plant Solutions (DUC, Winnipeg, Mb), Aquatic Environmental Services (St. Andrews, Mb); Whelan Enns Associates Inc. (Winnipeg, Mb), Benson Fishers (Gimli, Mb), University of Manitoba, and Washington State University.

In addition to providing science-based information on Lake Winnipeg south basin shorelines, Shoreline Habitat Inventory Mapping (SHIM) will help to locate point and non-point nutrient sources, identify priority aquatic ecosystems that support nutrient reduction and sequestration, and achieve overall nutrient load reductions to the lake, the ultimate goal of the LWBSF program. Scientific studies indicate that most nutrients to Lake Winnipeg come from sources closest to the Lake (State of Lake Winnipeg 1999 to 2007). Communities and infrastructure situated directly adjacent to Lake Winnipeg, pose significant risks to water quality from nutrient and contaminant loading and to fish and wildlife from shore habitat alteration, disruption, or destruction.

Creating a baseline inventory of existing Lake Winnipeg south basin shoreline conditions is the first step in preparing an integrated master plan for any future sustainable development options. All shoreline activities require that regulators have access to science-based information, to guide decisions for the protection, rehabilitation or development of shoreline areas. The Lake Winnipeg SHIM is a first attempt to provide some of this missing information.

This dataset was developed to analyze various forest management alternatives for the area under the 2016 Great Bear Rainforest order (GBR order). It was developed for the use with common forest management planning software, such as WOODSTOCK (Remsoft) or Forest Planning Studio Atlas (FPS-Atlas). The area under the GBR order objectives includes 5 timber supply areas (TSA): Kingcome, Mid Coast, North Coast, Strathcona, and small sections of the Pacific. Geographical data were collected from the BC government's open data program in Canada (DataBC), and the BC government’s website on Strategic Land and Resource Planning for the GBR. The geographical databases accessed from public sources included: (1) administrative boundaries (e.g., GBR boundary, tree farm licenses, Indian reserves, etc.), (2) forest inventory (e.g., BC vegetation resource inventory, depletions to year 2015, environmentally sensitive areas, roads), and (3) management guidance (e.g., reserves, wildlife habitat areas, ungulate winter range, recreation inventory, sensitive watersheds, streams, rivers, lakes, wetlands). Some of the geographical datasets were not publicly available (e.g., logging operability) and are therefore not part of this dataset. The productive forest land base (PFLB) was established after excluding the Provincial and National Parks, reserves, various timber licences (tree farm licences, woodlots, other leases), and non-forested land. Coniferous tree-leading stands dominate the PFLB, with the most common species being western and mountain hemlock (Tsuga heterophylla and Tsuga mertensiana) (46.8%), western redcedar (Thuja plicata) (32.6%) and yellow cedar (Chamaecyparis nootkatensis) (8.9%). The yield curves associated with each stand type, and spatially with each polygon, were imported from the latest Timber Supply Review (TSR) documents for the Kingcome and Mid Coast TSAs. For the North Coast and Strathcona TSAs, the stand type information in the latest TSR documents was used to develop yield curves using the Variable Density Yield Projection (VDYP) (Forest Analysis and Inventory Branch, 2009) and Table Interpolation Program for Stand Yields (TIPSY) (BC MFLNRO, 2016d) software tools. The Pacific TSA does not have a published TSR document, yet the small sections of the Pacific TSA that fall under the GBR (0.7%) are spatially adjacent to the Kingcome TSA. It was assumed that Pacific TSA had similar yields and stand types to the Kingcome TSA The dataset represents the status quo at data preparation in the area.

As sea level continues to rise due to the effects of climate change, the British Columbia coastline is predicted to have increased inundation near coastal areas. This interactive map showcases two datasets: Potential year 2100 coastal floodplain areas; based on approximate flood construction levels and incorporating sea level rise (more information available here).Shoreline sensitivity to sea level rise; ratings were developed using an existing biogeographic land classification dataset (Broad Ecosystem Inventory), and previously rated sensitivity of coastal and marine feature classes (ShoreZone) that were modified to account for the effects of slope, exposure and sediment mobility (more information available here).Combined, these layers show coastal segments predicted to be particularly at risk due to the impacts of climate change.

As sea level continues to rise due to the effects of climate change, the Strait of Georgia coastline is predicted to have increased inundation near coastal areas. This non-interactive map showcases three datasets: Potential year 2100 coastal floodplain areas; based on approximate flood construction levels and incorporating sea level rise (more information available here).Shoreline sensitivity to sea level rise; ratings were developed using an existing biogeographic land classification dataset (Broad Ecosystem Inventory), and previously rated sensitivity of coastal and marine feature classes (ShoreZone) that were modified to account for the effects of slope, exposure and sediment mobility (more information available here).Predicted coastal flood inundation for Victoria Inner Harbour modeled as part of the Capital Regional District Regional Coastal Flood Inundation Project.Combined, these layers show coastal segments predicted to be particularly at risk due to the impacts of climate change.

This dataset displays the geographic areas within which critical habitat (CH) for terrestrial species at risk, listed on Schedule 1 of the federal Species at Risk Act (SARA), occurs in Canada. Note that this includes only terrestrial species and species for which Environment and Climate Change Canada (ECCC) and Parks Canada Agency (PCA) lead. Under SARA, critical habitat is “the habitat that is necessary for the survival or recovery of a listed wildlife species and that is identified as the species’ critical habitat in the recovery strategy or action plan for the species.” To precisely define what constitutes critical habitat for a particular species it is essential that this geospatial information be considered in conjunction with complementary information provided in a species’ recovery document. Recovery documents are available from the Species at Risk (SAR) Public Registry (https://www.canada.ca/en/environment-climate-change/services/species-risk-public-registry.html) for two posting stages (proposed and final posting). The recovery documents contain important information about the interpretation of the geospatial information, especially regarding the biological and environmental features (“biophysical attributes”) that complete the definition of a species’ critical habitat. Within any defined critical habitat geospatial boundary, not all of the area is necessarily critical habitat. It is important to note that recovery planning documents (and, therefore, critical habitat) may be amended from time to time as new information becomes available, which may occur after a document has been posted as proposed or final on the SAR Public Registry. The SAR Public Registry should always be considered as the main source for critical habitat information. In cases where the data are sensitive, the geographic area within which critical habitat occurs may be represented as grids. These are coarse grids (1, 10, 50 or 100 square kilometres) that serve as indicators to locate critical habitat in the recovery planning document. More detailed information on critical habitat may be made available on a need-to-know basis by contacting Environment and Climate Change Canada – Canadian Wildlife Service at ec.planificationduretablissement-recoveryplanning.ec@canada.ca. The data is current as of the date of the most recent revision.