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Mike Holdsworth Jackie Anderson

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Presentation on theme: "Mike Holdsworth Jackie Anderson"— Presentation transcript:

1 Mike Holdsworth Jackie Anderson
Zooplankton Mike Holdsworth Jackie Anderson

2 Importance of Zooplankton
Food Web Trophic link Indicator Ecosystem Contaminants Biological processes Nutrient cycling Biocontrol Algal blooms

3 Parameters studied Species abundance Community dominance
Whole lake interactions Differences between lakes

4 Lakes Studied Oneida Lake Arbutus Lake Deer Lake Rich Lake
Onondaga Lake Green Lake

5 Sampling Methods Shindler trap Net tow
Distinctive depths Lake zones Net tow Whole water column (excluding Green Lake) Samples anesthetized with Seltzer Preserved in ethanol

6 Lab Methods Concentrated sample Diluted to known volume
Examined known subvolume Identification of individuals from subvolumes 100 specimens of same species Data

7 Data Manipulation; Net Tows
Took net tow averages from each lake Calculated relative percentages of taxa present in samples Graphical representations

8 Data Manipulation; Schindler Traps
Relative percentages of taxa by lake zones for each lake Table of most concentrated Schindler depth and deepest point sampled depth

9 Whole Water Column; Net tows
Calenoid copepods dominant in all lakes but Onondaga 85% Arbutus Lake 47% Oneida Daphnia dominated in Onondaga Fewer total zooplankton

10

11 Specific Depths; Schindler Trap
Oneida lake Cyclopoid dominate epilimnion Calonoid dominate hypolimnion

12 Arbutus Lake Rotifers at depth Possible explanations

13 Green lakes 100% calanoid dominance in monimolimnion Why?
Dominant in all layers but epilimnion

14 Daphnia dominated Rich Lake
Epilimnion Hypolimnion Differs from net tow data

15 Schindler Summary Lake Depth of most zoops (m)
Deepest depth sampled (m) Oneida 1 8 Deer 3 Arbutus 7 Green 11 to 15 35 Rich 11 Onondaga 14

16 Conclusions Net tow data and Schindler trap data did not always correspond Patchiness Net tow may not reach bottom Net tow mixes layers Copepods were important to all communities Communities could be very different between lake layers

17 Sources of Errer Identification difficulties Subsample stirring
Recounting Lake patchiness


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