light, secchi, weather and miscellaneous comments liz ely, ira smith, and margaret soulman
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Light, Secchi, Weather and Miscellaneous Comments
Liz Ely, Ira Smith, and
Margaret Soulman
secchi depth for varous lakes
0
5
10
15
Lakes
De
pth
(m
)
Arbutus
Deer
Wolf
Green
Skaneateles
Onondaga
Oneida
ARBUTUS & ONEIDA LAKES
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
0 50 100 150 200 250 300 350 400 450
LIGHT
DE
PT
H(m
) DECK ARBUTUS
SPHERICAL ARBUTUS
DECK ONEIDA
SPHERICAL ONEIDA
GREEN LAKE
0
5
10
15
20
25
0 200 400 600 800 1000 1200 1400
LIGHT
DE
PT
H (
m)
DECK
SPHERICAL
SKANEATELES LAKE
0
10
20
30
40
50
60
0 200 400 600 800 1000 1200 1400 1600
LIGHT
DE
PT
H(m
)
DECK
SPHERICAL
DEER LAKE
0
0.5
1
1.5
2
2.5
3
3.5
0 100 200 300 400 500 600 700
LIGHT
DE
PT
H (
m)
DECK
SPHERICAL
Wolf Lake - Deck Cell Correction Example
Light Intensity (moles of quanta m-2 sec-1)
0 200 400 600 800 1000 1200 1400 1600 1800 2000
Dep
th (
met
ers)
0
2
4
6
8
10
DECK vs DEPTH SPHERICAL vs DEPTH corrected spherical vs DEPTH
Green Lake Light Extinction Calculation
0
5
10
0 5 10 15 20 25
Depth
Ln (l
ight
)
r2=0.88
Arbutus Light Extinction Calculation
0
2
4
6
0 1 2 3 4 5
Depth
Ln
(Lig
ht)
r2=0.999
Light Extinction Coefficient
0
0.2
0.4
0.60.8
1
1.2
1.4
Arbut
usDee
r
Green
Oneida
Onond
aga
Skane
ateles W
olf
Lake
Lig
ht
Ex
tin
cti
on
Co
eff
icie
nt
(light extinction coefficients fixed now)
Secchi and Light Extinction Coefficient Comparison
Onondaga Oneida Deer Arbutus Wolf Green Skaneateles
Y D
ata
0
2
4
6
8
10
12
Light Extinction Secchi
Secchi versus Light Extinction
Secchi Depth
0 2 4 6 8 10 12
Lig
ht
Ext
inct
ion
Co
effi
cien
t
0
1
2
r2=0.90
YSI Group
Chris Hotaling
Nicole Hotaling
Rosa
YSI data
• Five parameters:– Depth, temp., pH, conductivity,
dissolved oxygen
• Measured on multiprobe• Graphed actual data (adjusted depth)
YSI Parameters
• Depth – Basin morphometry: nutrients, chemistry, heat
balance, productivity, habitat
• Temperature– stratification, organism distribution
• pH – measure of H+ concentration– chemical forms, organism response
YSI Parameters
• Conductivity – measure of ability to carry an electric current– Indicates ionic content, basin geology
• Dissolved Oxygen – Respiration, chemical form
Temperature (C)
0
5
10
15
20
25
30
35
40
45
50
5 7 9 11 13 15 17 19
dept
h (m
)
Deer
Wolf
Arbutus
Onon
Oneida
Green
Skan02
pH
0
5
10
15
20
25
30
35
40
45
50
6 6.5 7 7.5 8 8.5 9 9.5 10
dept
h (m
)
Deer
Wolf
Arbutus
Onon
Oneida
Green
Skan02
Conductivity (uS/cm)
0
5
10
15
20
25
30
35
40
45
50
0 10 20 30
dept
h (m
) Deer
Wolf
Arbutus
Oneida
Conductivity (uS/cm)
0
5
10
15
20
25
30
35
40
45
50
1400 1500 1600 1700 1800 1900 2000 2100 2200
dept
h (m
)
Onon
Green
DO (mg/L)
0
5
10
15
20
25
30
35
40
45
50
0 5 10 15 20
dept
h (m
)
Deer
Wolf
Arbutus
Onon
Green
Skan02
%DO
0
5
10
15
20
25
30
35
40
45
50
0 20 40 60 80 100 120 140 160 180 200
dept
h (m
)
Deer
Wolf
Arbutus
Oneida
Green
Whole Lake
• Adirondack lakes – shallow, lower pH (but not acidic), low conductivity, moderate DO
• Green, Skaneateles – deep, pH/cond reflects watershed geology
• Onondaga, Oneida – productive, pH/cond reflect different geology
What else?
• Could measure:– Specific conductance, salinity, redox potential,
recent weather patterns
• Error?– Zero depth, Onon/Oneida depths
Nutrients
Sampling techniques:
• strata depths were determined from temperature profile
• water samples were obtained using Kimmerer bottle
• three 1 L bottles were filled (1 each from epi, meta, hypo)
Analysis:
• phosphorus, nitrogen, silica
• dissolved nutrients is target, but acid-digestion in P and Si analyses may release nutrients from particles if sample is not filtered, leading to over-estimate of dissolved concentration
Phosphorous• The key controlling nutrient in freshwater systems
• Adding Phosphorous to a system increasing its productivity
• Deeper lakes will dilute Phosphorous
• In the presence of oxygen Fe3+ binds with and ‘traps’ phosphate
• If the hypolimnion is anoxic phosphorous will be released
• Rooted aquatic macrophytes take phosphorous up from sediments and releases it into water
Sources of Phosphorous
• Precipitation (dust in the air)
• Groundwater (small) adsorbs to soil particulates
• Surface runoff
• Weathering of calcium phosphate minerals (e.g.. Apatite)
- slow process
Anthropogenic Sources
• Point Source – sewage, industry, faulty septic systems, urban runoff
• Non-point Source – agriculture, animal waste
Phosphorous
>100Hypereutrophic
30-100Eutrophic
10-30Mesotrophic
5-10Oligotrophic
<5Ultra-Oligotrophic
Total Phosphorous ( g/L)
Lake Productivity
Eutrophication – increased growth of biota of lakes and the rate of productivity is higher than would have occurredwithout any disturbances.
Phosphorous – Total Phosphorous
Total Phosphorus
0
5
10
15
20
25
30
0 2 4 6 8 10 12 14 16
Concentration (umol/L)
Dep
th (
m)
Green
Onondaga
Oneida
Wolf
Arbutus
Deer
Phosphorous – Total Phosphorous
Lower Values of Total Phosphorus
0
2
4
6
8
10
0 1 2 3 4 5 6
Concentration (umol/L)
Dep
th (
m)
Green
Onondaga
Oneida
Wolf
Arbutus
Deer
Phosphorous – Total Dissolved Phosphorous
Total Dissolved Phosphorus
0
5
10
15
20
25
30
0 1 2 3 4 5
Concentration (umol/L)
Dep
th (
m)
Green
Onondaga
Oneida
Wolf
Arbutus
Deer
Phosphorous – Total Dissolved Phosphorous
Lower Values of Total Dissolved Phosphorus
0
2
4
6
8
10
0 0.2 0.4 0.6 0.8 1
Concentration (umol/L)
De
pth
(m
)
Green
Onondaga
Oneida
Wolf
Arbutus
Deer
Phosphorous Conclusions• Onondaga Lake considered hypereutrophic and had a
much higher phosphorous content than the other lakes contributing to noxious algal blooms
• Oneida has been eutrophic for over 350 years and is the next highest phosphorous values next to Onondaga Lake although there is a very large gap
• Wolf Lake is oligotrophic with plenty of oxygen throughout, this allows the phosphorous to be trapped by Fe3+ in the hypolimnion
Phosphorous Conclusions• Arbutus Lake near oligotrophic, and followed expected
pattern for P
• Deer Lake - P values seem to do the opposite of expected - possibly due to errors in sampling, such as brushing bottom sediments during sampling
• Green Lake is very oligotrophic, although the phosphorous concentrations follow those of a lake with anoxic bottom waters due to it being meromictic. Nutrients are entrained in bottom layers, so little in upper layers.
Lake Comparisons: Chemistry
Nitrogen
Sources of Nitrogen in the Water
• Inorganic nitrogen– Nitrate– Ammonia
• Organic nitrogen– Organisms– Dissolved Organic
General Nitrogen Distribution Within Water Column
• Surface waters– Increased organic nitrogen
• Buildup of phytoplankton– Decrease inorganic nitrogen
• Assimilated by phytoplankton
• Bottom waters – Increased organic and inorganic
• Lack of phytoplankton to assimilate inorganic• Settling of organic material• However, denitrification can convert inorganic to N gas
Total Nitrogen
0
5
10
15
20
25
30
0 20 40 60 80 100 120 140 160
Concentration (umol/L)
De
pth
(m
) Green
Onondaga
Oneida
Wolf
Arbutus
Deer
Lower Values of Total Nitrogen
0
2
4
6
8
10
0 5 10 15 20 25 30
Concentration (umol/L)
De
pth
(m
) Green
Onondaga
Oneida
Wolf
Arbutus
Deer
Total Dissolved Nitrogen
0
5
10
15
20
25
30
0 25 50 75 100 125 150 175
Concentration (umol/L)
De
pth
(m
)
Green
Onondaga
Oneida
Wolf
Arbutus
Deer
Lower Values for Total Dissolved Nitrogen
0
1
2
3
4
5
6
7
8
9
10
10 12 14 16 18 20 22 24
Concentration (umol/L)
De
pth
(m
)
Green
Onondaga
Oneida
Wolf
Arbutus
Deer
Nitrogen Conclusions
• Lakes show different nitrogen distributions– Cyanobacteria: present or absent?
• Nitrogen fixers– Elevate organic nitrogen levels
» Epilimnion or metalimnion (stratification effects)
– Turnover• Nitrogen levels tend toward uniform
– Denitrification in bottom waters• Due to low oxygen in bottom waters (Eutrophic?)
Silica in the Water Column
Dissolved:- silicic acids
Particulate:- diatoms- organic complexes- adhered to inorganic particles
Silica in the Water Column
Major source: - degraded alumino-silicate minerals
Solubility:- increased by humic compounds
Typical Profile:- biogenic reduction of dissolved silica in the epilimnion during early summer, and low epilimnetic silica maintained throughout summer
Cause: - intensive assimilation of silica by diatoms, and a greater rate of diatom sedimentation than rate of silica replenishment from sources
Expected silica profile (Wetzel)E
Silica
0
5
10
15
20
25
30
0 10 20 30 40 50 60 70
Concentration (umol/L)
Dep
th (
m)
Green
Onondaga
Wolf
Arbutus
Deer
DISSOLVED SILICA: Sep-Oct, 2003
Annual Cycle:
Lake inDenmark(Wetzel)
Why Opposite of Expected Silica Trends?
• Possible explanations?
- diatom bloom in epilimnion after turnover?
- samples were not sufficiently filtered, so [Si] reflects acid-dissolved diatoms as well as dissolved silica?
- runoff after rains from soils high in siliceaous materials
- or, data were recorded in reverse order