20161006
15050000
1.0
Custom Metadata Editor
FALSE
20240112
13535900
V_LAKEBIOMASS2008
002
604323.025600
646703.205300
4894060.600900
4940501.226000
1
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_UTM_Zone_17N
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P//Z
20240112
Version 6.2 (Build 9200) ; Esri ArcGIS 10.3.1.4959
Lake Biomass - 2008
2016-04-11T00:00:00
TF
LSRCA
gis@lsrca.on.ca
LSRCA
Limnologist
LSRCA
withheld
1
-79.694574
-79.151375
44.610295
44.185016
LSRCA
© LAKE SIMCOE REGION CONSERVATION AUTHORITY, (insert current year). All Rights Reserved
<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 7 0;"><SPAN><SPAN>Contains Information made available under </SPAN></SPAN><A href="https://www.lsrca.on.ca/Pages/GIS-Open-Data-Licence.aspx"><SPAN><SPAN>Lake Simcoe Region Conservation Authority Open Data Licence v1.0.</SPAN></SPAN></A></P><P STYLE="margin:0 0 7 0;"><SPAN /></P><P><SPAN /></P><P><SPAN /></P></DIV></DIV></DIV>
aquatic plants
macrophytes
Eurasian watermilfoil
open data
aquatic plants, macrophytes, Eurasian watermilfoil
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Aquatic plant biomass in Lake Simcoe, 2008. Layer displays interpolation analysis of total dry weight biomass (grams per square metre) of aquatic plants in Lake Simcoe.</SPAN></P></DIV></DIV></DIV>
Feature Class
dataset
EPSG
8.6.2
5
Simple
FALSE
5
FALSE
FALSE
V_LAKEBIOMASS2008
Feature Class
5
SHAPE
SHAPE
Geometry
4
0
0
Feature geometry.
ESRI
Coordinates defining the features.
CLASS
CLASS
Integer
4
10
0
Unique value for the data range. Field used for symbolizing layer.
RANGE
RANGE
String
20
0
0
Data measurement range.
YEAR
YEAR
Integer
4
10
0
Year of sampling.
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
DB2GSE.ST_Area(SHAPE)
DB2GSE.ST_Area(SHAPE)
Double
0
0
0
DB2GSE.SdeLength(SHAPE)
DB2GSE.SdeLength(SHAPE)
Double
0
0
0
TF
Samples were collected from 215 sites by petite Ponar grab (quantitative analysis) or lake rake / anchor toss (qualitative analysis). Plants were identified to species, dried, and biomass determined. Inverse Distance Weighting interpolation on total biomass was used to generate GIS layer