Interactive Effects of Climate Change, Wetlands, and Dissolved Organic Matter on UV Damage to Aquatic Foodwebs U.S. Environmental Protection Agency - PowerPoint PPT Presentation

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Interactive Effects of Climate Change, Wetlands, and Dissolved Organic Matter on UV Damage to Aquatic Foodwebs U.S. Environmental Protection Agency

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Title: Landscape Control of Dissolved Organic Matter in a Northern Michigan Watershed Author: Scott Bridgham Last modified by: mwang Created Date – PowerPoint PPT presentation

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Title: Interactive Effects of Climate Change, Wetlands, and Dissolved Organic Matter on UV Damage to Aquatic Foodwebs U.S. Environmental Protection Agency


1
Interactive Effects of Climate Change, Wetlands,
and Dissolved Organic Matter on UV Damage to
Aquatic FoodwebsU.S. Environmental Protection
Agencys Global Change and Ecosystem Protection
Research STAR Progress Review WorkshopJune
16-18, 2004
2
  • Principal Investigators
  • Scott Bridgham1, Gary Lamberti2, David Lodge2,
    Patricia Maurice2, Carol Johnston3, Boris
    Shmagin3
  • Postdoctoral Associate
  • Paul Frost2
  • Ph.D. Students
  • James Larson2, Kathryn Young2, Zhiyu Zheng3
  • Research Technician
  • Christine Cherrier1
  • 1Univ. of Oregon, 2Univ. of Notre Dame, 3South
    Dakota State Univ.

3
Overarching Goal
  • Provide a better understanding of how land use,
    climate, and UVR affect foodweb structure in
    streams and rivers through their complex
    interactions with DOM, landscape characteristics,
    and climate.

4
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5
Five Main Objectives
  • Relate DOM concentration and chemical
    characteristics to discharge, landscape
    characteristics, and stream geomorphology.
  • Determine how in-stream processing of DOM through
    biodegradation and photodegradation varies
    spatially within the watershed.
  • Determine how various climate change scenarios
    will affect discharge and, thus, DOM
    concentration at a variety of spatial scales.

6
Objectives, Cont.
  • Determine interactions among UVR intensity and
    DOM concentration and chemistry.
  • Determine the response of stream foodwebs to the
    interactions among UVR intensity and DOM
    concentration and type.

7
Objectives
  • Relate DOM concentration and chemical
    characteristics to discharge, landscape
    characteristics, and stream geomorphology.

8
Study Sites
Ontonagon watershed -3600 km2 watershed -drains
into Lake Superior -streams 1st to 6th
order -60 sampling sites in Sept. 2002 -35
sites sampled 2 months for 2 years
9
Characteristics of Ontonagon sub-watersheds
Factor Mean Min. Max
of area in wetland 18.7 0.02 48.1
of area in lake 4.06 0 22.6
of area in agriculture 4.93 0.05 62.8
watershed area (km2) 14.5 0.25 345
total stream length (km) 108 1.35 2628
drainage density (km km-2) 7.43 1.39 19.5

10
Sept. 2002 Sampling
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12
Why the wide range in DOC among these streams?
lake developed evergreen agriculture
wetland log stream length log watershed area log
watershed perimeter log drainage density log
maximum slope log mean slope log standard
deviation slope
landscape features
stream geomorphology
13
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14
ln DOC (mg C L-1)
15
Multiple factor regression DOC
Predictor Variables (5) lake (-) developed
evergreen agriculture (4) wetland () log
stream length (2) log watershed area (-) log
watershed perimeter (1) log drainage density
(-) log maximum slope (3) log mean slope (-) log
standard deviation slope
plt 0.0001 r2 0.61
16
DOC Molecular Weight
plt 0.0001, r2 0.54
Predictor Variables (2) lake (-) developed
evergreen agriculture wetland log stream
length log watershed area log watershed
perimeter (1) log drainage density (-) log
maximum slope log mean slope log standard
deviation slope
17
Sept. 2002
18

May August 2003 DOM Data
Absorbance at 280 nm divided by the moles C per
liter
Average DOC from Combined May and August 2003
16
442.0
14
410.6
12
379.2
Abs280 L/mol C
DOC mg/L (95 Confidence)
10
347.8
8
316.4
6
285.0
No Lakes
Lake Outflows
No Lakes
Lake Outflows
19
Ongoing Landscape DOM Projects
  • Expand GIS database by adding surficial geology,
    soil type, and soil CN ratio. Compare
    different wetland databases and determine if
    wetland type is an important variable.
  • Examine how landscape relationships with DOM
    concentration and chemistry vary with seasonally
    with bimonthly sampling of stream survey.

20
Ongoing Landscape DOM Projects, Cont.
  • Explore how DOM concentration and chemistry vary
    longitudinally in streams with and without lake
    outlets.

21
Objectives
  • Determine how in-stream processing of DOM through
    biodegradation and photodegradation varies
    spatially within the watershed.

22
Results to Date
  • Biodegradation of high molecular-weight DOM is
    faster, and the low-molecular weight fraction is
    preferentially degraded.
  • Biodegradation rates of DOM are dependent on
    microbial community structure.

23
Ongoing DOM Experiments
  • Examine short- and long-term photodegradation and
    biodegradation rates of DOM from six different
    stream sources.
  • With and without nutrient addition.
  • How important is prior photodegradation in
    biodegradation?

24
Objectives
  • Determine how various climate change scenarios
    will affect discharge and, thus, DOM
    concentration at a variety of spatial scales.

25
  • Factor analysis has been used at the scale of the
    conterminous U.S., the Great Lakes region, and
    the Upper Great Lakes region to determine
    landscape and climatic correlates of annual and
    seasonal discharge in streams and rivers.

26
  • We will gather as many DOC vs. discharge data
    as can be found for the Upper Great Lakes.
    Various climate change scenarios will be applied
    to these models to predict effects on DOM
    concentrations and UVR penetration into the water
    column.
  • Mechanistic hydrological model for the Ontonagon
    Watershed?

27
Objectives
  • Determine interactions among UVR intensity and
    DOM concentration and chemistry.

28
The Kd tells you how fast light disappears in
the water
kd - ln (Id /Io)/ depth
Big kd ? Little light Small kd ? Lots of light
29
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31
Stream UVB Model
UVB (µW cm-2)
irradiancebenthos irradiancetop x canopy
attenuation x water attenuation
32
Ongoing UVR Landscape Research
  • Mapping UVR penetration within the entire
    Ontonagon Watershed.
  • Quantifying UVR dose spatially within a number of
    streams with dosimetry strips.

33
Objectives
  • Determine the response of stream foodwebs to the
    interactions among UVR intensity and DOM
    concentration and type.

34
Controlled experiments to examine the interactive
effects of UVR and DOM on stream food web
structure
35
Experiment Change UV flux onto periphyton by
altering DOM concentration and through the use
of plastic UV screens
w/ plastic no plastic
plus DOC no UVB high DOC low UVB high DOC
no DOC no UVB low DOC high UVB low DOC
4 replicates per treatment combination
36
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37
chlorophyll (mg cm-2)
38
particulate carbon (mg cm-2)
39
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40
NH4 (mg L-1)
SRP (mg L-1)
NO3 (mg L-1)
41
Ongoing Foodweb Experiments How does light
intensity interact with UVR to affect periphyton
growth?
shading (-90) no shading
ambient
- UVB
-UVA -UVB
42
Ongoing Foodweb Experiments How do nutrients
and DOM molecular weight interact to affect
foodwebs?
N, P - N, - P
no DOM (ground water)
HMW DOM ( 8 mg/L)
LMW DOM ( 8 mg/L)
UVR excluded in all treatments
Periphyton last week snails, mayflies,
caddisflies, chironomids, amphipods
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