Boot Lake, Oconto County Wisconsin

Generated: 8/18/2017 7:54:20 PM (UTC)

Waterbody Size: 101.39 ha (250.50 acres)

Boot Lake Thumbnail
Data Collector
Richard Kelm
Data Collection Date
7/31/2017 7:43:07 PM (UTC)
Average Water Temperature
24.66° C (76.38° F)
Location
Start:45.2636795, -88.63192749
End:45.26370621, -88.63191986
Survey Size
Area:67.18 ha
(166.00 acres)
Percent:66.26% of waterbody
Volume:4,191,575.90 cu. m
(3,398.17 acre ft)
Est. Waterbody Volume?
6,325,968.40 cu. m
(5,128.55 acre ft)
Settings
Track Buffer:25 m
Grid Cell Size:5 m
Min. BV Detect:See Individual Trips
Min. Veg Depth Detect:See Individual Trips

Survey Summary


Type?PAC?Avg BVp?SD BVp?Avg BVw?SD BVw?Depth RangeAvg DepthDistanceNo. Points
Full
Survey
Point47.3%22.9%±21.4%10.8%±18.6%0.95-11.65 m5.51 m21.08 km10,869
Grid38.7%19%±15.1%7.3%±13.2%0.01-11.43 m6.07 m-23,348

Area of Interest Summary


AOI ?Type?PAC?Avg BVp?SD BVp?Avg BVw?SD BVw?Depth RangeAvg DepthDistanceNo. Points
1Point72%28.3%±24.4%20.4%±24.3%0.98-7.6 m3.43 m3.15 km2,583
Grid67.7%24.3%±18%16.4%±18.7%0.01-8.15 m3.41 m-4,747
2Point51.6%19.7%±16%10.2%±15.1%1.1-9.08 m5.36 m1.88 km1,276
Grid45.2%17.6%±13.8%8%±12.8%0.01-8.66 m5.34 m-3,355
3Point20.9%18.7%±18.6%3.9%±11.4%1.06-11.65 m8.12 m5.39 km2,235
Grid19.2%13.8%±10.4%2.6%±7.1%0.01-11.43 m8.35 m-7,588
4Point68.1%22.1%±20.9%15.1%±20.1%0.95-7.41 m4.06 m5.02 km2,283
Grid70.6%20.2%±15.3%14.3%±15.8%0.01-8.44 m3.66 m-8,499
5Point24%14.6%±13.8%3.5%±9.2%1.12-8.45 m6.74 m5.61 km2,492
Grid23.4%12.2%±9.7%2.9%±7%0.06-8.66 m6.68 m-7,150
Vegetation Biovolume Heat MapBiovolume Distribution Scatter Chart

colorscale
biovolume scatter chart

Biovolume Analysis by Quantity


AOI ?0-5%5-20%20-40%40-60%60-80%>80%
127.95%36.78%19.59%7.16%3.6%4.92%
248.43%33.7%13.09%2.98%0.94%0.86%
379.11%15.97%3.22%0.67%0.36%0.67%
431.93%44.98%14.85%3.02%2.1%3.11%
575.96%20.87%2.13%0.48%0.2%0.36%

Biovolume Analysis by Depth


AOI?DepthType?CountPAC?Avg BVp?SD BVp?Avg BVw?SD BVw?
10-1mPoint333.3%7.1%±0%2.4%±3.4%
1-2m47173.2%31.7%±29.2%23.2%±28.7%
2-3m95284.8%36.1%±26%30.6%±27.2%
3-4m36091.1%24.9%±16.9%22.7%±17.6%
4-5m31776.7%13.4%±7%10.3%±8.4%
5-6m25553.7%8.9%±3.6%4.8%±5.2%
6-7m1110%--0%±0%
7-8m1140%--0%±0%
8-9m0-----
>9m0-----
0-1mGrid58088.1%30.2%±19.9%26.6%±21.1%
1-2m75183.5%28.9%±19.7%24.2%±20.9%
2-3m92187.3%27%±18.6%23.6%±19.6%
3-4m89288%21.4%±14.7%18.8%±15.4%
4-5m48273.9%13.7%±8.8%10.1%±9.7%
5-6m36732.2%7.9%±2.4%2.5%±3.9%
6-7m4292.8%6.5%±1.1%0.2%±1.1%
7-8m3190%--0%±0%
8-9m60%--0%±0%
>9m0-----
AOI?DepthType?CountPAC?Avg BVp?SD BVp?Avg BVw?SD BVw?
20-1mPoint0-----
1-2m5794.7%39.7%±24.7%37.6%±25.7%
2-3m21580%25.4%±18.1%20.3%±19.1%
3-4m18894.1%22.4%±11.3%21.1%±12.2%
4-5m11893.2%9.3%±2.8%8.6%±3.6%
5-6m8893.2%9.3%±2.8%8.7%±3.6%
6-7m20627.7%11.6%±4.1%3.2%±5.6%
7-8m3571.7%9.1%±3.7%0.2%±1.3%
8-9m470%--0%±0%
>9m0-----
0-1mGrid10074%25.5%±18%18.9%±19.1%
1-2m27585.8%26.4%±18%22.6%±19%
2-3m36382.6%24.7%±16.4%20.4%±17.6%
3-4m37389.3%16.9%±8.8%15.1%±9.8%
4-5m30587.5%11.3%±4.6%9.9%±5.7%
5-6m30772.6%8.9%±2.4%6.4%±4.4%
6-7m31025.2%7.4%±2.4%1.9%±3.4%
7-8m11990.3%5.8%±0.5%0%±0.3%
8-9m1232.4%9.3%±1.8%0.2%±1.5%
>9m0-----
AOI?DepthType?CountPAC?Avg BVp?SD BVp?Avg BVw?SD BVw?
30-1mPoint0-----
1-2m5594.5%51.8%±32.9%49%±34.1%
2-3m7067.1%25.1%±19%16.8%±19.5%
3-4m14793.2%16.3%±7.9%15.2%±8.7%
4-5m11785.5%12.9%±6.8%11%±7.7%
5-6m16159%10.1%±3.2%5.9%±5.5%
6-7m14824.3%10.2%±3.6%2.5%±4.7%
7-8m720%--0%±0%
8-9m3280%--0%±0%
>9m5050%--0%±0%
0-1mGrid2295.5%26.7%±18.3%25.5%±18.8%
1-2m7394.5%31.1%±18.9%29.4%±19.7%
2-3m18383.1%22.5%±14.5%18.7%±15.7%
3-4m43693.1%15.5%±8.6%14.4%±9.2%
4-5m37185.4%11.5%±4.3%9.9%±5.7%
5-6m57169%8.3%±2.3%5.7%±4.3%
6-7m38723%7.2%±1.6%1.7%±3.1%
7-8m3511.7%6.3%±0.6%0.1%±0.8%
8-9m10380%--0%±0%
>9m17210%--0%±0%
AOI?DepthType?CountPAC?Avg BVp?SD BVp?Avg BVw?SD BVw?
40-1mPoint8100%80.8%±17.3%80.8%±17.3%
1-2m8568.2%40.1%±29.4%27.4%±30.6%
2-3m64378.5%31.3%±27.5%24.6%±27.6%
3-4m55990.2%20.8%±12.8%18.8%±13.7%
4-5m34778.7%11.9%±5.3%9.4%±6.8%
5-6m32058.8%8.9%±2.4%5.2%±4.8%
6-7m2606.9%10.7%±4.5%0.7%±3%
7-8m610%--0%±0%
8-9m0-----
>9m0-----
0-1mGrid55679%27.5%±20.3%21.7%±21.2%
1-2m108380.4%26.9%±18.8%21.6%±20%
2-3m172582.8%24.5%±17%20.3%±18%
3-4m180685.5%19.2%±12.3%16.4%±13.3%
4-5m140583.2%14.1%±7.4%11.7%±8.5%
5-6m81255%9%±2.5%5%±4.9%
6-7m59017.1%7.4%±2.2%1.3%±2.9%
7-8m4790%--0%±0%
8-9m430%--0%±0%
>9m0-----
AOI?DepthType?CountPAC?Avg BVp?SD BVp?Avg BVw?SD BVw?
50-1mPoint0-----
1-2m61100%43.2%±24%43.2%±24%
2-3m17100%34.5%±18.2%34.5%±18.2%
3-4m2281.8%15.5%±3.4%12.7%±6.7%
4-5m17485.6%9.9%±3%8.5%±4.4%
5-6m27570.9%11.7%±3.7%8.3%±6.2%
6-7m53522.4%10.1%±4.5%2.3%±4.7%
7-8m12203.2%7.2%±3.9%0.2%±1.5%
8-9m1880%--0%±0%
>9m0-----
0-1mGrid1693.8%31.6%±17%29.6%±18.1%
1-2m3688.9%37.5%±20.8%33.3%±22.8%
2-3m8383.1%29.2%±19.2%24.3%±20.6%
3-4m25790.3%19.2%±10.9%17.4%±11.8%
4-5m49289.2%10.4%±4.2%9.3%±5.2%
5-6m84873.3%9.5%±3.4%7%±5.1%
6-7m155315.2%6.9%±1.8%1%±2.6%
7-8m33310.8%7.2%±2.8%0.1%±0.7%
8-9m5340.6%9.3%±1.8%0.1%±0.7%
>9m0-----

Glossary


AOI
Area of Interest: Defines the individual transects or contiguous data samples as depicted by the color coding of each trip line. Seperate areas of interest can be generated through merging of multiple trips, appending data to a single sonar log or lapses in time (greater than five minutes) within a sonar log.
BVp
Biovolume (Plant):: Refers to the percentage of the water column taken up by vegetation when vegetation exists. Areas that do not have any vegetation are not taken into consideration for this calculation.
BVw
Biovolume (All water): Refers to the average percentage of the water column taken up by vegetation regardless of whether vegetation exists. In areas where no vegetation exists, a zero value is entered into the calculation, thus reducing the overall biovolume of the entire area covered by the survey.
PAC
Percent Area Covered: Refers to the overall surface area that has vegetation growing.
Grid
Geostatistical Interpolated Grid: Interpolated and evenly spaced values representing kriged (smoothed) output of aggregated data points. The gridded data is most accurate summary of individual survey areas.
Point
Individual Coordinate Point: A single point represents a summary of sonar pings and the derived bottom and canopy depths. Individual point data create an irregularily spaced dataset that may have overlaps and/or gaps in the data resulting in a increased potential for error.

Additional Information



No additional information