Grizzly Bear - Data - BC Cumulative Effects Framework - 2015 Assessment - Northeast Region

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Published by the Ministry of Forests, Lands, Natural Resource Operations and Rural Development - Resource Planning and Assessment
Licensed under Access Only

PLEASE NOTE: This dataset currently contains results for the Northeast Natural Resource Region. Other regions will be added as the assessment results are made available.

Please refer to the BC Cumulative Effects website for all cumulative effects related project information, as well as documents related to this dataset, such as protocols, reports and online tools: https://www2.gov.bc.ca/gov/content/environment/natural-resource-stewardship/cumulative-effects-framework

The BC Cumulative Effects Framework (CEF) Grizzly Bear 2015 Condition Assessment is a strategic, broad scale (provincial) assessment of the status of Grizzly Bear population and habitat indicators in 2015. The conceptual model used for this assessment is derived from the Interim Assessment Protocol for Grizzly Bear in British Columbia (Tier 1 Provincial Scale Grizzly Bear Assessment Protocol) Standards for British Columbia’s Cumulative Effects Framework Values Foundation, 2017 (https://www2.gov.bc.ca/gov/content/environment/natural-resource-stewardship/cumulative-effects-framework/values).

This dataset was generated from existing summaries of grizzly bear status, mortality data, Geographic Information System (GIS) data, and results from spatial modelling. The assessment units are the BC Landscape Units (see link below in Lineage Statement) to assess the mortality and habitat at the landscape scale, as they are analogous to the home range size of a female grizzly bear. The data inputs used in the GIS analysis that generated this assessment dataset are from 2015, and relied on the availability of data that cover the full extent of the province. More detailed information may be available at the regional or sub-regional level that can inform finer scale grizzly bear assessments for operational land and resource decision making. Please refer to the BC Cumulative Effects website linked above for information on regional or sub-regional CEF projects.

Data and Resources

Dataset Extent

Latitude: 48.0° to 60.0°
Longitude: -139.5° to -113.5°

Additional Information

Purpose

Cumulative Effects Current Condition data is made available to the public and land managers for the purpose of informing natural resource decision-making in BC.

Data Quality

This dataset currently contains results for Northeast Natural Resource Region of British Columbia. Other regions will be added as the assessment results are made available.

Lineage Statement

Landscape Units of British Columbia form the assessment unit boundaries for this dataset: https://catalogue.data.gov.bc.ca/dataset/11277e35-d8be-47e4-bb1f-c38e393179c6

More Information

Contact Information

NameMatthew LeRoy (custodian)
EmailMatthew.LeRoy@gov.bc.ca
OrganizationMinistry of Forests, Lands, Natural Resource Operations and Rural Development
Sub-OrganizationResource Planning and Assessment
NameRob Oostlander (pointOfContact)
EmailRob.Oostlander@gov.bc.ca
OrganizationMinistry of Forests, Lands, Natural Resource Operations and Rural Development
Sub-OrganizationResource Planning and Assessment
NameDon Morgan (businessExpert)
EmailDon.Morgan@gov.bc.ca
OrganizationMinistry of Environment and Climate Change Strategy
Sub-OrganizationConservation Science Section

Access & Security

Who can view this dataset? Public
Who can download this dataset?Public

Metadata Information

Record Published 2019-06-14
Record Last Modified 2019-09-05
Resource Status completed
Spatial DataSDO_GEOMETRY

Object Description

Object Name: WHSE_HUMAN_CULTURAL_ECONOMIC.CEF_GRIZZLY_BEAR_ASSESSMT_SV

Short Name: CEF_GRIZ
Comments: Grizzly bear are one of the high-value resources identified for provincial assessment in British Columbia’s Cumulative Effects Framework. Grizzly bear are an iconic species that occur across most of the province. They have environmental, economic and social importance to the people of British Columbia because they are an umbrella species, they provide hunting and viewing opportunities, and they are important to First Nations rights and interests. Recognizing the importance of this species, government has established objectives for grizzly bear management in land use plans, as well as legislation and policy. Grizzly bear are also a wide-ranging species that depend on multiple, well-connected ecosystems, and/or on broad-scale ecosystem processes and functions, making them susceptible to cumulative effects from impacts of multiple activities on the land base.

Column Name Short Name Data Type Data Precision Comments
CEF_GBAS_SYSID CF_GBS_SYD NUMBER 10 CEF_GBAS_SYSID is a DataBC system generated unique identifier number used by the BC Geographic Warehouse.
CEF_VALUE_NAME VALUE_NAME VARCHAR2 50 CEF_VALUE_NAME is the name of the BC Cumulative Effects Framework (CEF) value being assessed, e.g. Aquatic Ecosystems, Grizzly Bear, Forest Biodiversity, Moose Habitat, Moose Population.
ASSESSMENT_UNIT_SOURCE_ID ASMT_SR_ID VARCHAR2 1000 ASSESSMENT_UNIT_SOURCE_ID is the Assessment Unit (AU) unique identifier for a particular polygon for a particular value. It may correspond to existing feature identifiers, such as Landscape Units, Watersheds, etc. For example, for Grizzly Bear, the ASSESSMENT_UNIT_SOURCE_ID corresponds to the provincial Landscape Unit (LU) PROVID e.g., 102. For Aquatic Ecosystems, the ASSESSMENT_UNIT_SOURCE_ID corresponds to the Provincial Freshwater Atlas (FWA) Assessment Watershed WATERSHED FEATURE ID, e.g., 11957. For Forest Biodiversity, IDs are a concatenation of a series of identifiers, such as Organizational Unit or District (DSS), Landscape Unit and Sub-Unit (Alexis_A), Natural Disturbance Code (NDT4), BGC Zone and Subzone (IDF dk 4), and Leading Tree Species Type (FirGroup), which combine to generate a unique ID, e.g., DCC_Alexis_Intermediate_NDT4_IDF_dk_4_FirGroup. For Moose Habitat, IDs correspond to the Organizational Unit or District (DSS) concatenated with the Landscape Unit and Sub-Unit, e.g., DSC_Bute_East_A, DSC_Bute_East_B, etc. For Moose Population, IDs correspond to the Wildlife Management Unit name, e.g., 1-10, 2-15, 7-38, etc.
ASSESSMENT_UNIT_NAME ASMT_NAME VARCHAR2 100 ASSESSMENT_UNIT_NAME is the name of the assessment unit. This may or may not be unique, and is not mandatory. This may contain null values. For some CEF values, it may be the same as the ASSESSMENT_UNIT_SOURCE_ID. For example, for the Grizzly Bear value, this corresponds to the provincial Landscape Unit name, e.g., Otter, Yale. For Aquatic Ecosystems, this corresponds to the provincial FWA Assessment Watershed name (GNIS NAME 1), e.g., Pike River, Byron Creek. For Old Growth Aspatial, this corresponds to the Biogeoclimatic variants for most of the province, or site series in the Central/North Coast, groups of Biogeoclimatic variants in Mackenzie, Caribou Corridor management zones in two Skeena Landscape Units or Natural Disturbance Unit (NDU) subunits in the Northeast, e.g., SBSdh1, Northern Boreal Mountains. For Old Growth Spatial, this corresponds to the Old Growth Management Area (OGMA) name, e.g., NAN_naka_33. For the Forest Biodiversity, Moose Habitat and Moose Population values, the ASSESSMENT_UNIT_NAME is the same as the ASSESSMENT_UNIT_SOURCE_ID.
ASSESSMENT_UNIT_GROUP ASMT_GROUP VARCHAR2 50 ASSESSMENT_UNIT_GROUP is a larger spatial group or region to which the Assessment Unit may belong. This may or may not be unique, and is not mandatory. This may contain null values. For example, the ASSESSMENT_UNIT_GROUP For Grizzly Bear is the Grizzly Bear Population Unit (GBPU) with the maximum overlap with the Assessment Unit, e.g., Babine. For Aquatic Ecosystems, the Assessment Unit Group is the FWA Watershed Group Code (WATERSHED GROUP CODE), e.g., UFRA (Upper Fraser), THOM (Thompson). For Old Growth Aspatial, the Assessment Unit Group is a Landscape Unit or a Timber Supply Unit, e.g., Trout, Dawson Creek. For Old Growth Spatial, no assessment unit grouping is used or provided. For the Forest Biodiversity and Moose Habitat values, the group correspond to the Organizational Unit or District (DSS) concatenated with the Landscape Unit, e.g., DSC_Bute_East, DCR_Adam_Eve, DCC_Alexis, DSS_Dease_Liard, etc. For Moose Population, the group corresponds to the responsible region name, e.g., Vancouver Island, Omineca, etc.
ASSESSMENT_TARGET_YEAR ASMT_YEAR VARCHAR2 4 ASSESSMENT_TARGET_YEAR is the base year the assessment represents. This is typically the year, or vintage, of when the input data was collected, snapshot, or derived. An assessment processed in 2016 may be based on 2015 source data, therefore the target year would be 2015.
ASSESSED_AREA_STATUS ASSD_STATU VARCHAR2 25 ASSESSED_AREA_STATUS is the status of whether the assessment was conducted in the Assessment Unit polygon or not, i.e., Assessed, Not Applicable (not applicable or required for that area, for example, the value does not exist there, or there is no target/policy for that area), Insufficient Data (unavailable to make an assessment for that area), Incomplete (intended, but not yet complete, for example, due to a processing error).
ASSESSMENT_UNIT_PROCESSED_DATE ASMT_DATE DATE 7 ASSESSMENT_UNIT_PROCESSED_DATE is the date when the GIS assessment analysis was run for the assessment unit. This may vary for assessment units throughout the province.
ASSESSMENT_VERSION_NUMBER ASMT_VERSN VARCHAR2 25 ASSESSMENT_VERSION_NUMBER is the alpha numeric version number assigned to the assessment, e.g. “01.00.01” where the numbers from left to right indicate decreasing amount of change from the previous version. See CEF Data Management Plan for more information.
BUSINESS_CONTACTS CNTACT_BUS VARCHAR2 500 BUSINESS_CONTACTS is the primary business area contact for this dataset.
GIS_CONTACTS CNTACT_GIS VARCHAR2 500 GIS_CONTACTS is the primary GIS analyst contact for this dataset.
CEF_ONLINE_RESOURCES CEF_LINK VARCHAR2 500 CEF_ONLINE_RESOURCES is a hyperlink to a webpage with additional information about the Cumulative Effects Framework.
PROTOCOL_DOCUMENT_TITLE PRO_TITLE VARCHAR2 100 PROTOCOL_DOCUMENT_TITLE is the title of the CEF value protocol document associated with this dataset.
PROTOCOL_DOCUMENT_LINK PRO_LINK VARCHAR2 500 PROTOCOL_DOCUMENT_LINK is a hyperlink to the CEF value protocol document associated with this dataset.
REPORTING_UNIT_MAX RU_MAX VARCHAR2 50 REPORTING UNIT MAX is the BC Cumulative Effects Sub-Regional Reporting Unit (RU) which has the maximum overlap with the assessment unit (AU), e.g., Merritt, Cariboo West.
NET_AREA_KM2_NO_WATER_ICE NET_AREA NUMBER 15 NET AREA KM2 NO WATER ICE is the net assessment unit area, in square kilometres (km2), excluding major ice and water features from Baseline Thematic Mapping (BTM).
NET_AREA_KM2_NO_WATER_ICE_ROCK NET_AREA2 NUMBER 15 NET AREA KM2 NO WATER ICE ROCK is the net assessment unit area (km2), excluding major ice and water features from Baseline Thematic Mapping (BTM) and excluding upland rock from the Vegetation Resource Inventory (VRI).
COASTAL_DISCONNECTED_IND COASTL_IND VARCHAR2 5 COASTAL DISCONNECTED IND is an indicator for coastally disconnected (remote)areas which may have roads but are accessible only by ferry or water routes, i.e., Yes (coastally disconnected), No (not coastally disconnected).
GBPU_MAX_OVRLP_STATUS GBPU_MX_ST VARCHAR2 20 GBPU MAX OVRLP STATUS is the population status for the Grizzly Bear Population Unit (GBPU) with the maximum (max) overlap of the AU, i.e., Viable, Threatened, Extirpated, Never Occupied.
GBPU_MAX_OVRLP_PCNT GBPU_MX_PC NUMBER 5 GBPU MAX OVRLP PCNT is the percent overlap of the Grizzly Bear Population Unit (GBPU) that has the maximum (max) overlap with the AU.
GBPU_OVRLP_LIST GBPU_LIST VARCHAR2 250 GBPU OVRLP LIST is the list of Grizzly Bear Population Units (GBPUs) which overlap the AU by more than 10%, shown as a comma separated list, e.g., South Chilcotin Ranges,Stein-Nahatlatch.
GBPU_OVRLP_COUNT GBPU_COUNT NUMBER 2 GBPU OVRLP COUNT is the count of Girzzly Bear Population Units (GBPUs) which overlap the AU by more than 10%.
GBPU_CRI_OVRLP_STATUS_THREATND GBPU_PR_ST VARCHAR2 20 GBPU CRI OVRLP STATUS THREATND is the status of the Grizzly Bear Population Unit (GBPU) that overlaps with the AU (if >10% overlap) and that may be Threatened. Even if there is minor/minimum overlap with a Threatened GBPU, the AU will be considered Threatened (as opposed to Viable) for this field, i.e., Viable, Threatened, Extirpated.
WMU_MAX_OVRLP_LINK_ID WMU_MAX_LK NUMBER 4 WMU MAX OVRLP LINK ID is a unique numeric identifier for the Wildlife Management Unit (WMU) with the maximum overlap with the AU.
WMU_MAX_OVRLP_UNIT_ID WMU_MAX_ID VARCHAR2 4 WMU MAX OVRLP UNIT ID is the unique textual identifier for the Wildlife Management Unit (WMU) with the maximum overlap with the AU. Rather than using an arbitrarily generated identifier, the identifier used is the WMU identifier WILDLIFE_MGMT_UNIT_ID which includes the old Regional prefix, e.g., 1-15, 6-3, and can be linked back to the WMUs.
WMU_MAX_OVRLP_PCNT WMU_MAX_PC NUMBER 5 WMU MAX OVRLP PCNT is the percent overlap of the WMU that has the maximum overlap with the AU.
WMU_OVRLP_LIST WMU_LIST VARCHAR2 250 WMU OVRLP LIST is the list of WMUs which overlap the AU by more than 10%shown as a comma separated list, e.g., 1-5,4-33,6-10.
WMU_OVRLP_COUNT WMU_COUNT NUMBER 2 WMU OVRLP COUNT is the count of WMUs which overlap the AU by more than 10%. It is the count of WMUs in the WMU_OVRLP_LIST.
GB_EST_POP GB_EST_POP NUMBER 10 GB EST POP is the estimated Grizzly Bear population (number of bears) for the AU.
GB_EST_POP_DENS GB_PDENS NUMBER 15 GB EST POP DENS is the estimated Grizzly Bear population density (number of bears / 1000 km2) for the AU.
GB_EST_POP_DENS_CLS GBPDENS_CL NUMBER 2 GB EST POP DENS CLS is the classification of estimated bear population density, i.e., 1 ( 0-<10 bears/1000 km2), 2 (10-<20), 3 (20-<30), 4 (30-<40), 5 (40-<50), 6 (50+).
GB_EST_POP_DENS_FLAG GBPDENS_FL VARCHAR2 50 GB EST POP DENS FLAG is a flag for whether or not the bear density is less than 10 bears per 1000 km2, i.e., Pass (Bear Density >=10 per 1000km2), Fail (Bear Density <10 per 1000km2).
HUNT_MORT_3_TIME_PERIODS_COUNT HMORT_CNT NUMBER 2 HUNT MORT 3 TIME PERIODS COUNT is the total count over three hunting allocation periods where either all bear (male and female) or female bear mortality is exceeded in allowable hunting areas. The maximum count is 6. Allocation periods cover 2004-2006, 2007-2011, and 2012-2014. If the AU overlaps with multiple mortality/density spatial units, then the mortality/density unit with the highest count in allowable hunting areas (not necessarily the largest overlapping area) is used (but the selected mortality/density unit must have an overlap of more than 10%).
HUNT_MORT_3_TIME_PERIODS_FLAG HMORT_FLAG VARCHAR2 5 HUNT MORT 3 TIME PERIODS FLAG is a flag of whether mortality exceeds hunting allocation in any of three time periods for either all bears (male and female) or female bears, in allowable hunting areas, i.e., Fail (HUNT_MORT_3_TIME_PERIODS_COUNT >0), Pass (HUNT_MORT_3_TIME_PERIODS_COUNT = 0). This uses a membership rule such that a minimum of 10% overlap with a failed mortality polygon constitutes a fail for the whole AU. Allocation periods cover 2004-2006, 2007-2011, and 2012-2014.
HUNTER_DAYS_ANNL_AVG HUD_AVG NUMBER 15 HUNTER DAYS ANNL AVG is the average annual hunter days between 2003 and 2012 for the AU. Based on Wildlife Management Unit (WMU) data, but extrapolated to AU based on the number of days per square km for the WMU.
HUNTER_DAYS_ANNL_AVG_DENS HUD_AVG_DN NUMBER 15 HUNTER DAYS ANNL AVG DENS is the derived average annual hunter day density for the AU (HUNTER_DAYS_ANNL_AVG/NET_AREA_KM2_NO_WATER_ICE).
HUNTER_DAYS_ANNL_AVG_DENS_CLS HUD_AVG_CL VARCHAR2 10 HUNTER DAYS ANNL AVG DENS CLS is the classification of average annual hunter day density, based on division of values into quartiles (Q), i.e., Low (Q1 and Q2: 0-0.601977), Mod (Q3: 0.601978 - 1.508812), High (Q4: >1.508812).
HUNTER_DAYS_ANNL_AVG_DENS_FLAG HUD_AVG_FL VARCHAR2 10 HUNTER DAYS ANNL AVG DENS FLAG is an flag of whether the average annual hunter day density is in the highest quartile, i.e., Fail (HUNTER_DAYS_ANNL_AVG_DENS_CLS is High (>1.508812 )), Pass (HUNTER_DAYS_ANNL_AVG_DENS_CLS not High (<=1.508812 )).
OPEN_RD_UTIL_LENGTH_KM OPNRD_TOT NUMBER 15 OPEN RD UTIL LENGTH KM is the total length in kilometres (km) of open roads and utilites (pipeline, powerline, rail) within the AU. Open roads exclude gated, restricted, or overgrown roads, skid trails or other trails (where info is known).
OPEN_RD_UTIL_DENS OPNRD_DNS NUMBER 10 OPEN RD UTIL DENS is the density of open roads and utilities per net AU area (km/km2) excluding major water, ice, and rock (NET_AREA_KM2_NO_WATER_ICE_ROCK).
OPEN_RD_UTIL_DENS_CLS_8_LBL OPNRD_CL_8 VARCHAR2 50 OPEN RD UTIL DENS CLS 8 LBL is the classification of open roads and utilities density into 8 class labels, i.e., 0: Roadless; 1: 0.01 - 0.3 km/km2; 2: 0.31 - 0.6 km/km2; 3: 0.61 - 0.75 km/km2; 4: 0.76 - 1.25 km/km2; 5: 1.26 - 1.75 km/km2; 6: 1.76 - 2.5 km/km2; 7: >2.5 km/km2.
OPEN_RD_UTIL_DENS_CLS_5_LBL OPNRD_CL_5 VARCHAR2 50 OPEN RD UTIL DENS CLS 5 LBL is the classification (km/km2) of open roads and utilities density into 5 class labels, i.e., Very Low: Roadless (0); Low: 0.01 - 0.3 km/km2; Moderate: 0.31 - 0.6 km/km2; High: 0.61 - 0.75 km/km2; Very High: > 0.75 km/km2.
OPEN_RD_UTIL_DENS_GE_PT6_IND OPNRD_FL1 VARCHAR2 3 OPEN RD UTIL DENS GE PT6 IND is an indicator if the open roads and utilities density exceeds 0.6 km/km2, i.e., Yes (road density >=0.6), No (road density <0.6).
OPEN_RD_UTIL_DENS_GE_PT75_IND OPNRD_FL2 VARCHAR2 3 OPEN RD UTIL DENS GE PT75 IND is an indicator if the open roads and utilities density exceeds 0.75 km/km2, i.e., Yes (road density >=0.75), No (road density <0.75).
SECURE_CORE_CAP_WGHTD_AREA_KM2 S_CORE_KM2 NUMBER 15 SECURE CORE CAP WGHTD AREA KM2 is the weighted area (km2) of capable secure core within the AU. Capability is based on Broad Ecosystem Inventory (BEI) classification. Weighting is based on the proportion of capable area in the AU. Secure core areas are roadless areas larger than 10km2, and exclude 500m buffers on mining, oil & gas, utility rights-of-way, agricultural, urban, and urban mixed disturbance.
SECURE_CORE_CAP_WGHTD_PCNT S_CORE_PCT NUMBER 5 SECURE CORE CAP WGHTD PCNT is the percentage of capable secure core weighted area for the net AU, excluding major ice and water (NET_AREA_KM2_NO_WATER_ICE).
SECURE_CORE_CAP_CLS_LBL S_CORE_CL VARCHAR2 50 SECURE CORE CAP CLS LBL is a classification/label of the percentage of capable secure core weighted area in the AU, i.e., 1: >= 60% Capable Secure Core (Pass); 2: < 60% Capable Secure Core (Fail).
SECURE_CORE_CAP_FLAG S_CORE_FL VARCHAR2 20 SECURE CORE CAP FLAG is a flag of whether the percentage of capable secure core weighted area is below 60% in the AU, i.e., Pass (>=60% Capable Secure Core), Fail (<60% Capable Secure).
FRONT_COUNTRY_PCNT FCNTRY_PCT NUMBER 5 FRONT COUNTRY PCNT is the percentage of the AU area that is 'Front Country'. Front Country refers to areas that are within 2 hours (driving time) of cities, or within 1 hour from a high use road, considering various travel speeds and land type. Front country is related to human-bear encounter likelihood.
BACK_COUNTRY_PCNT BCNTRY_PCT NUMBER 5 BACK COUNTRY PCNT is the percentage of the AU area that is 'Back Country'. Back Country is area that is further than 2 hours driving time from a city or further than 1 hour driving time from a high use road.
FRONT_COUNTRY_FLAG FCNTRY_FL VARCHAR2 15 FRONT COUNTRY FLAG is a flag of whether the proportion of front country exceeds 20% in the AU, i.e., Fail (Front Country >20%), Pass (Front Country <=20%).
SALMON_TOT_KG_ALL SLM_ALL NUMBER 15 SALMON TOT KG ALL is the total weight/biomass in kilograms (kg) of 5 species of salmon (chinook, chum, coho, pink, and sockeye) for inventoried stream reaches for the AU, over all available time periods.
SALMON_TOT_KG_RECENT SLM_RCT NUMBER 15 SALMON TOT KG RECENT is the total weight/biomass (kg) of 5 species of salmon (chinook, chum, coho, pink, and sockeye) for inventoried stream reaches for the AU, from 2005 to 2014.
SALMON_PCNT_MAX_ALL SLM_ALL_PC NUMBER 5 SALMON PCNT MAX ALL is the proportion of total weight/biomass (kg) of salmon (for all available time periods) for the AU, relative to the maximum kg of all AUs (2,358,738 kg).
SALMON_PCNT_MAX_ALL_CLS SLM_ALL_CL NUMBER 2 SALMON PCNT MAX ALL CLS is the classification of the total kg/max kg (all available time periods), i.e., 1 (75-100%), 2 (50-75%),3 (25-50%), 4 (5-25%), 5 (1-5%), 6 (0).
SALMON_PCNT_MAX_RECENT SLM_RCT_PC NUMBER 5 SALMON PCNT MAX RECENT is the proportion of total weight/biomass (kg) of salmon in the recent time period (2005 to 2014) for the AU, relative to the maximum kg of all AUs (1,497,540 kg).
SALMON_PCNT_MAX_RECENT_CLS SLM_RCT_CL NUMBER 2 SALMON PCNT MAX RECENT CLS is the classification of the total weight (kg)/max kg (recent, 2005-2014)), i.e., 1 (75-100%), 2 (50-75%),3 (25-50%), 4 (5-25%), 5 (1-5%), 6 (0).
QUALITY_FOOD_IND QFOOD_IND VARCHAR2 5 QUALITY FOOD IND is an indicator of whether the AU has potential for high quality food. Quality food areas have high salmon biomass/escapement or >50% High/Very High BEI Capability (SALMON_TOT_KG_ALL >10000 or BEI_HIGH_CAP_WGHTD_AREA_PCNT >50), i.e., Yes (identitied as a quality food area), No (not identified as a quality food area).
LETHAL_ENCOUNTER_INDEX LTHL_IND VARCHAR2 15 LETHAL ENCOUNTER INDEX is an indicator of both high hunter day density and high likelihood of human-bear encounter ( >20% front-country) in the AU, i.e., Flag (high potential for lethal encounter), Not Flagged (less potential for lethal encounter).
LETHAL_ENCOUNTER_FOOD_INDEX LTHL_F_IND VARCHAR2 15 LETHAL ENCOUNTER FOOD INDEX is an indicator of high hunter day density, high likelihood of human-bear encounter ( >20% front-country), and quality food in the AU, i.e., Flag (high potential for lethal encounter and quality food area), Not Flagged (less potential for lethal encounter and not a quality food area).
VRI_TFL_GAP_PCNT VRI_GAP_PC NUMBER 5 VRI TFL GAP PCNT is the percentage of the AU for which Vegetation Resource Inventory (VRI) data is unknown/unavailable, for example, within a TFL or over private land. In the analysis, this percentage is further broken down by Biogeoclimatic Ecosystem Classification (BEC) Zone - if there is >10% VRI data gap for a select BEC Zone, then this is considered as Insufficient Data available to complete the analysis.
MID_SERAL_CNFR_BEC_MOD_KM2 MSDCB_M NUMBER 15 MID SERAL CNFR BEC MOD KM2 is the total area (km2) of mid-seral dense conifer in Moderate Risk BEC Zones: Montane Spruce (MS), Mountain Hemlock (MH), and Interior Douglas-fir (IDF). Mid-seral dense conifer is characterised as mid-seral, conifer dominant, dark, dense stands with low forage potential.
MID_SERAL_CNFR_BEC_MOD_PCNT MSDCB_M_PC NUMBER 15 MID SERAL CNFR BEC MOD PCNT is the percentage of mid-seral dense conifer in all Moderate Risk BEC zones (MS, MH, IDF) for the AU. Note that the final indicator flag (MID_SERAL_CNFR_BEC_FLAG) is based on mid-seral dense conifer percent of individual Moderate Risk BEC Zone, rather than percentage of the total Moderate Risk BEC group, as shown in this field.
MID_SERAL_CNFR_BEC_HIGH_KM2 MSDCB_H NUMBER 15 MID SERAL CNFR BEC HIGH KM2 is the total area (km2) of mid-seral dense conifer in High Risk BEC Zones: Coastal Western Hemlock (CWH), Interior Cedar - Hemlock (ICH), Engelmann Spruce - Subalpine Fir (ESSF), Sub-Boreal Spruce (SBS). Mid-seral dense conifer is characterised as mid-seral, conifer dominant, dark, dense stands with low forage potential.
MID_SERAL_CNFR_BEC_HIGH_PCNT MSDCB_H_PC NUMBER 15 MID SERAL CNFR BEC HIGH PCNT is the percentage of mid-seral dense conifer in all High Risk BEC zones (CWH, ICH, ESSF, SBS) for the AU. Note that the final indicator flag (MID_SERAL_CNFR_BEC_FLAG) is based on mid-seral dense conifer percent of individual High Risk BEC Zone, rather than percentage of the total High Risk BEC group, as shown in this field.
MID_SERAL_DENSE_CNFR_BEC_FLAG MSDCB_FLAG VARCHAR2 20 MID SERAL DENSE CNFR BEC FLAG indicates if either Moderate or High risk individual BEC Zones have >30% mid-seral dense conifer for the AU, i.e., Fail (select BEC Zones have >30% mid-seral dense conifer by AU ), Pass (select BEC Zones have <=30% mid-seral dense conifer by AU), Insufficient Data (VRI data gap >=10% in select BEC Zones).
BEI_CAP_WGHTD_AREA_KM2 BEICAP_KM2 NUMBER 12 BEI CAP WGHTD AREA KM2 is the total weighted area (km2) of BEI capable areas in the AU. Weighting is based on the proportion of the BEI unit which is capable.
BEI_CAP_WGHTD_AREA_PCNT BEICAP_PCT NUMBER 5 BEI CAP WGHTD AREA PCNT is the percentage of total weighted BEI capable areas that is in the net AU area, excluding major ice and water (NET_AREA_KM2_NO_WATER_ICE).
PRTCTD_WGHTD_AREA_KM2 PRTCTD_KM2 NUMBER 10 PRTCTD WGHTD AREA KM2 is the weighted area (km2) of protected/restricted area for the AU. High restricted areas (e.g., Parks, Conservancy, OGMAs, WHAs, WMA etc) are considered 100% protected, while Medium restricted areas (e.g., UWR, VQO partial retain) are considered 50% protected.
PRTCTD_WGHTD_PCNT PRTCTD_PCT NUMBER 5 PRTCTD WGHTD PCNT is the percentage of protected/restricted weighted area in the AU.
BEI_HIGH_CAP_WGHTD_AREA_KM2 BEI_HC_KM2 NUMBER 12 BEI HIGH CAP WGHTD AREA KM2 is the total weighted area (km2) of BEI High and Very High capable areas in the AU. Weighting is based on the proportion of the BEI unit which is capable.
BEI_HIGH_CAP_WGHTD_AREA_PCNT BEI_HC_PCT NUMBER 5 BEI HIGH CAP WGHTD AREA PCNT is the percentage of total weighted BEI High and Very High capable areas to the net AU area, excluding major ice and water (NET_AREA_KM2_NO_WATER_ICE).
PRTCTD_HIGH_CAP_WGHTD_AREA_KM2 PRTD_H_KM2 NUMBER 12 PRTCTD HIGH CAP WGHTD AREA KM2 is the total weighted area (km2) of BEI Very High or High capable which is protected/restricted. This is weighted by the protection factor (either 100% protected, or 50% protected - see PRTCTD_WGHTD_AREA_KM2).
PRTCTD_HIGH_CAP_WGHTD_PCNT PRTD_H_PCT NUMBER 5 PRTCTD HIGH CAP WGHTD PCNT is the percentage of BEI Very High or High capable area which is protected/restricted (PRTCTD_HIGH_CAP_WGHTD_AREA_KM2 /BEI_HIGH_CAP_WGHTD_AREA_KM2).
PRTCTD_HIGH_CAP_CLS_LBL PRTD_H_CL VARCHAR2 30 PRTCTD HIGH CAP CLS LBL is the classification/label of the percentage of BEI Very High or High capable area which is protected/restricted., i.e., 1: > 60% Protected, 2: 30 - 60% Protected, 3: 0 - 30% Protected.
WHA_EBM_AREA_KM2 WHAEBM_KM2 NUMBER 8 WHA EBM AREA KM2 is the total area (km2) of Wildlife Habitat Areas (WHAs)/Specified Areas and Coastal Ecosystem Based Management (EBM) areas designated for Grizzly Bears. Grizzly WHAs used in this analysis exclude Specified Areas with conditional harvest.
WHA_EBM_AREA_PCNT WHAEBM_PCT NUMBER 5 WHA EBM AREA PCNT is the percentage of WHA/Specified Areas and Coastal EBM areas in the net AU, excluding major ice and water (NET_AREA_KM2_NO_WATER_ICE).
WHA_EBM_PRESENT_IND WHAEBM_IND VARCHAR2 5 WHA EBM PRESENT IND is an indicator of the presence (>=0.05%) or absence of WHA/EBM areas in the AU, i.e., Yes (WHA/EBM areas present), No (WHA/EBM absent).
HIGH_INDICATOR_FLAG ROLLUP_FL VARCHAR2 25 HIGH_INDICATOR_FLAG is a flag which indicates if any of six main indicators fail, then the overall rollup is flagged. From: Population Status, Mortality Rate, Capable Secure Core, Front Country/Backcountry, Hunter Density, or BEC Mid-Seral Dense Conifer, i.e., Fail (1 -6 main indicators are flagged/fail), Pass (0 main indicators are flagged), Insufficient Data (BEC Mid-Seral Dense Conifer flag is Insufficient Data and no other main indicator flags are raised).
HIGH_INDICATOR_LIST ROLLUP_LST VARCHAR2 150 HIGH INDICATOR LIST is a comma delimited list of which (if any) of the six main indicators are flagged, i.e., a list of 0 or more of the following: threatened status; mortality exceeded; low secure core; high encounter likelihood; high hunter days; high mid seral dense conifer; or ins seral data.
FEATURE_AREA_SQM FEAT_AREA NUMBER 19 FEATURE_AREA_SQM is the system calculated area of a two-dimensional polygon in square meters.
FEATURE_LENGTH_M FEAT_LEN NUMBER 19 FEATURE_LENGTH_M is the system calculated length or perimeter of a geometry in meters.
SHAPE SHAPE SDO_GEOMETRY 64 SHAPE is the column used to reference the spatial coordinates defining the feature.
OBJECTID OBJECTID NUMBER 38 OBJECTID is a column required by spatial layers that interact with ESRI ArcSDE. It is populated with unique values automatically by SDE.
SE_ANNO_CAD_DATA BLOB 4000 SE_ANNO_CAD_DATA is a binary column used by spatial tools to store annotation, curve features and CAD data when using the SDO_GEOMETRY storage data type.