20260119
09362400
1.0
FALSE
BCR12_HighValueHabitat_Wetland
60782.982700
1579281.956500
666352.394800
1153402.268500
1
002
3.384
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
Canada_Albers_Equal_Area_Conic
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.1'><WKT>PROJCS["Canada_Albers_Equal_Area_Conic",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-96.0],PARAMETER["Standard_Parallel_1",50.0],PARAMETER["Standard_Parallel_2",70.0],PARAMETER["Latitude_Of_Origin",40.0],UNIT["Meter",1.0],AUTHORITY["ESRI",102001]]</WKT><XOrigin>-13825800</XOrigin><YOrigin>-7913700</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102001</WKID><LatestWKID>102001</LatestWKID></ProjectedCoordinateSystem>
20180222
11111400
20180222
11111400
North American Profile of ISO19115 2003
ItemDescription
150000000
5000
BCR12_HighValueHabitat_Wetland
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
EA_ha
EA_ha
Double
8
0
0
Shape_Leng
Shape_Leng
Double
8
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Site
Site
String
50
0
0
Christine Terwissen (or Angela Darwin)
Environment Canada- Canadian Wildlife Service
Landscape Assessment Technician
416-739-5850 (or 613-998-7948)
4905 Dufferin St.
Toronto
Ontario
M3H 5T4
CA
christine.terwissen@ec.gc.ca (or angela.darwin@ec.gc.ca)
20180222
ArcGIS Metadata
1.0
Graham Bryan
Environment Canada- Canadian Wildlife Service
Biodiversity Coordinator
416-739-4918
4905 Dufferin St
Toronto
ON
M3H 5T4
CA
graham.bryan@ec.gc.ca
File Geodatabase Feature Class
2014
File Geodatabase Feature Class
3.384
High Value Habitat: Wetland, BCR 12
How Much Habitat and Enough and Human Footprint Scores per 5-ha Hexagon
2015-02-12T00:00:00
Graham Bryan
Environment Canada- Canadian Wildlife Service
Biodiversity Coordinator
416-739-4918
4905 Dufferin St
Toronto
ON
M3H 5T4
CA
graham.bryan@ec.gc.ca
CWS-ON Landscape and Conservation Plan
Tier 3 Analysis
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer aggregates potential high conservation value wetland per 5 ha hexagon in the Boreal Hardwood Transition Ecozone, also known as BCR 12. It is one of three high value habitat datasets derived from the CWS-ON Landscape Conservation Atlas and Plan (COLCAP). COLCAP is a comprehensive landscape assessment in BCR 12 and 13 that describes and assesses the CWS landscape biodiversity portfolio.</SPAN></P><P><SPAN>In the COLCAP, wetland includes bog, fen, marsh, swamp and open water. Data was extracted from the Southern Ontario Land Resource Information System v 2.0 (OMNRF, 2015), Wetland Unit (OMNRF, 2014), Great Lakes Coastal Wetland Inventory (ECCC and OMNRF, 2004) and the Provincial Land Cover 28 (OMNRF, 1998).</SPAN></P><P><SPAN>Using the </SPAN><SPAN STYLE="font-style:italic;">How Much Habitat is Enough</SPAN><SPAN>? guidelines, each study unit (5 ha hexagon) containing wetland was assessed and scored by the following criteria: percent of wetland cover in the quaternary watershed, location of coastal features, adjacent natural cover, size, and proximity. These criteria were added together to calculate overall wetland score within each study unit; this overall wetland score was divided into quartiles and the top 25% of scores were categorized as having potential high conservation value (PHCV).</SPAN></P><P><SPAN>Species at risk (SAR) were assessed and scored by the following criteria: diversity, SAR richness, SAR irreplaceability, global rarity, candidate SAR, and probability of critical habitat. These criteria were added together to calculate an overall SAR score within each study unit; this overall SAR score was divided into quartiles and the top 25% of SAR scores within wetlands were categorized as having PHCV.</SPAN></P><P><SPAN>Migratory bird criteria relevant to wetland (waterfowl stopover + waterfowl density) were added together to calculate an overall migratory bird score within each study unit; this overall migratory bird score was divided into quartiles and the top 25% of scores were categorized as having PHCV.</SPAN></P><P><SPAN>Using these three criteria (overall wetland score, SAR score and migratory bird score), each study unit was assigned a final PHCV score (0-3). A final PHCV score of 0 indicated that while the study unit may contain wetland, it was not within the top 25% of overall wetland scores. Study units with a final PHCV score greater than 0 were aggregated together at 750 m to derive High Value Habitat: Wetland.</SPAN></P><P><SPAN>Secondary Site - Wetland = less than 20 ha in size; Biodiversity Site - Wetland = greater than 20 ha in size.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Provides a summary of potential high conservation value wetlands in Bird Conservation Region (BCR) 12.
Environment and Climate Change Canada - Canadian Wildlife Service, Ontario, in partnership with the Nature Conservancy of Canada, 2016.
Boreal Hardwood Transition (BCR 12), Ontario
CWS Ontario Landscape and Conservation Plan (COLCP), Tier 3 Human Footprint, How Much Habitat is Enough, Bird Conservation Region (BCR)
Canadian Wildlife Service
Ontario
Boreal Hardwood Transition ecozone
Bird Conservation Region 12
wetland
SAR
migratory birds
high value
conservation
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Users of this data are subject to the Open Government Licence - Canada. http://open.canada.ca/en/open-government-licence-canada</SPAN></P></DIV></DIV></DIV>
Esri ArcGIS 10.2.2.3574
true
-81.01505
-79.258306
44.64893
46.129032
true
-81.01505
-79.258306
44.64893
46.129032
true
-81.01505
-79.258306
44.64893
46.129032
true
-80.358031
-79.202182
44.528149
46.055398
true
-81.01505
-79.258306
44.64893
46.129032
true
-81.01505
-79.258306
44.64893
46.129032
true
-81.01505
-79.258306
44.64893
46.129032
true
-81.01505
-79.258306
44.64893
46.129032
true
-80.825976
-78.891897
44.39274
46.653142
true
-80.825976
-78.891897
44.39274
46.653142
1
-95.221664
-74.474541
50.513239
43.997055
Information is provided for Environment Canada internal use only. Data in digital form may not be futher disseminated or modified without prior consent from CWS-ON. An end-user agreement is required.
0
ESRI
10.2.1
dataset
Simple
FALSE
0
TRUE
FALSE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=