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The Relationship Between Shoreline
Characteristics and Nearshore Submerged
Aquatic Vegetation
Bridget Smith, Chris Patrick, Meghan Williams, Don Weller
Submerged Aquatic Vegetation
SAV Decline
Li et al. 2007 Estuaries & Coasts
Patrick et al. 2014 Estuaries & Coasts
Shoreline Hardening
Bottom Scour
Sediment
Suspension
Wave energy
Shoreline Types
Natural Hardened
Mechanisms of change
- Suspend sediment, decreasing water
clarity
- Scour away sensitive beds
- Deepen the adjacent shore through
bottom scour
Slope
0 m
-3 m
0 m
-3 m
Shoreline Hardening and SAV
 Effects of Shoreline Alteration and Other Stressors
on Submerged Aquatic Vegetation
 Riprap and bulkhead
 negative predictors of SAV abundance at the subestuary scale
Patrick et al. 2014 Estuaries & Coasts
 The Relationship Between Shoreline Hardening and
Adjacent Submerged Aquatic Vegetation
 Less SAV directly adjacent to bulkhead
Patrick et al. 2014 Estuaries & Coasts (in review)
Shoreline Hardening: Further Questions
 How does the length of shorelines (natural, riprap,
and bulkhead) influence the abundance of SAV?
 How far do these offshore effects extend? Does this
differ for different shoreline types?
 How are shoreline structures related to nearshore
bathymetry?
Subestuary Scale
Shoreline Scale
Shoreline LengthDistance to ShoreDepth
SAV Presence and Mean Density
Presence: The fraction of years SAV is
present from 1984 to 2012
<10%
10-40%
40-70%
70-100%
Coverage
SAV Presence and Mean Density
Presence: 0.607
Mean Density: 1.714
<10%
10-40%
40-70%
70-100%
Coverage
SAV Presence and Mean Density
Presence: 0.143
Mean Density: 0.321
<10%
10-40%
40-70%
70-100%
Coverage
Hypotheses
 Steeper slopes occur off of hardened shorelines.
 SAV adjacent to natural shorelines will have greater
presence and mean density than SAV adjacent to
hardened shorelines.
 For natural shorelines, there will be a positive
relationship between shore length and SAV
presence and mean density.
Methods
Data
• Shoreline condition: length and location of
shoreline types
• SAV spatial extent from 1984 to 2012 from
aerial photography
• Bathymetry
Variables
Response Predictor
 Slope
 Depth
 SAV Presence
 SAV Mean Density
 Shoreline Type
 Shoreline Type
 Depth
 Shore Length
 Distance to Shore
 Salinity Zone
Statistical Analyses
Physical Characteristics
SAV Presence and Mean
Density
 ANOVA
 Categorical variable: shore
type
 Continuous variables: depth
and slope
 ANOVA
 Categorical variables: shore
type and salinity zones
 ANCOVA
 Categorical variable: shore
type
 Continuous variables: shore
length, distance to shore,
depth
 If results are significant, run
linear regression by shore
type
Slope Analysis
SAV Presence and Density Analysis
Results
Results
 Physical Characteristics
Slope
P value <0.001
Depth
P value <0.001
Results
 SAV Presence and Mean Density
Shore Type
P value <0.001
Natural shorelines also has the highest mean
density of SAV
Depth and Shore Length
Interaction P value = 0.007
Natural Shorelines: Presence by
Depth and Shore Length
Bulkhead Shorelines: Presence by
Depth and Shore Length
Interaction P value = 0.004
Riprap not significant.
Depth Depth
Presence
Presence
Depth and Distance to Shore
Interaction P value < 0.001
Natural Shoreline: SAV Mean Density
by Depth and Distance to Shore
Depth
MeanDensity
Depth and Distance to Shore
Interaction P value < 0.05Interaction P value < 0.001
Riprap Shoreline: SAV Mean Density
by Depth and Distance to Shore
Depth
MeanDensity
Bulkhead Shoreline: SAV Mean
Density
by Depth and Distance to Shore
Mean
Density
Depth
Salinity
P value < 0.001
Highest presence and
mean density in the
polyhaline zone
Salinity
Interaction P value < 0.001
Take Away Points
 More gradual slopes along natural shorelines
 Natural shorelines have greater SAV presence and
mean density than hardened shorelines
0
3
Dept
h
Natural Riprap and Bulkhead
Shoreline Type Presence Density Length Distance
Natural + + + +
Bulkhead - - NS +
Riprap - - NS NS
Next Steps
 Repeat analysis when better bathymetry becomes
available
 Examine how shoreline length and shore type are
related to slope
Acknowledgements
Chris Patrick
Meghan Williams
Donald Weller
Smithsonian Environmental Research
Center
Virginia Institute of Marine Science
NOAA
USGS

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SubmergedAquaticVegetation

  • 1. The Relationship Between Shoreline Characteristics and Nearshore Submerged Aquatic Vegetation Bridget Smith, Chris Patrick, Meghan Williams, Don Weller
  • 3. SAV Decline Li et al. 2007 Estuaries & Coasts Patrick et al. 2014 Estuaries & Coasts
  • 5. Shoreline Types Natural Hardened Mechanisms of change - Suspend sediment, decreasing water clarity - Scour away sensitive beds - Deepen the adjacent shore through bottom scour
  • 7. Shoreline Hardening and SAV  Effects of Shoreline Alteration and Other Stressors on Submerged Aquatic Vegetation  Riprap and bulkhead  negative predictors of SAV abundance at the subestuary scale Patrick et al. 2014 Estuaries & Coasts  The Relationship Between Shoreline Hardening and Adjacent Submerged Aquatic Vegetation  Less SAV directly adjacent to bulkhead Patrick et al. 2014 Estuaries & Coasts (in review)
  • 8. Shoreline Hardening: Further Questions  How does the length of shorelines (natural, riprap, and bulkhead) influence the abundance of SAV?  How far do these offshore effects extend? Does this differ for different shoreline types?  How are shoreline structures related to nearshore bathymetry?
  • 11. SAV Presence and Mean Density Presence: The fraction of years SAV is present from 1984 to 2012 <10% 10-40% 40-70% 70-100% Coverage
  • 12. SAV Presence and Mean Density Presence: 0.607 Mean Density: 1.714 <10% 10-40% 40-70% 70-100% Coverage
  • 13. SAV Presence and Mean Density Presence: 0.143 Mean Density: 0.321 <10% 10-40% 40-70% 70-100% Coverage
  • 14. Hypotheses  Steeper slopes occur off of hardened shorelines.  SAV adjacent to natural shorelines will have greater presence and mean density than SAV adjacent to hardened shorelines.  For natural shorelines, there will be a positive relationship between shore length and SAV presence and mean density.
  • 16. Data • Shoreline condition: length and location of shoreline types • SAV spatial extent from 1984 to 2012 from aerial photography • Bathymetry
  • 17. Variables Response Predictor  Slope  Depth  SAV Presence  SAV Mean Density  Shoreline Type  Shoreline Type  Depth  Shore Length  Distance to Shore  Salinity Zone
  • 18. Statistical Analyses Physical Characteristics SAV Presence and Mean Density  ANOVA  Categorical variable: shore type  Continuous variables: depth and slope  ANOVA  Categorical variables: shore type and salinity zones  ANCOVA  Categorical variable: shore type  Continuous variables: shore length, distance to shore, depth  If results are significant, run linear regression by shore type
  • 20. SAV Presence and Density Analysis
  • 25. Results  SAV Presence and Mean Density
  • 26. Shore Type P value <0.001 Natural shorelines also has the highest mean density of SAV
  • 27. Depth and Shore Length Interaction P value = 0.007 Natural Shorelines: Presence by Depth and Shore Length Bulkhead Shorelines: Presence by Depth and Shore Length Interaction P value = 0.004 Riprap not significant. Depth Depth Presence Presence
  • 28. Depth and Distance to Shore Interaction P value < 0.001 Natural Shoreline: SAV Mean Density by Depth and Distance to Shore Depth MeanDensity
  • 29. Depth and Distance to Shore Interaction P value < 0.05Interaction P value < 0.001 Riprap Shoreline: SAV Mean Density by Depth and Distance to Shore Depth MeanDensity Bulkhead Shoreline: SAV Mean Density by Depth and Distance to Shore Mean Density Depth
  • 30. Salinity P value < 0.001 Highest presence and mean density in the polyhaline zone
  • 32. Take Away Points  More gradual slopes along natural shorelines  Natural shorelines have greater SAV presence and mean density than hardened shorelines 0 3 Dept h Natural Riprap and Bulkhead Shoreline Type Presence Density Length Distance Natural + + + + Bulkhead - - NS + Riprap - - NS NS
  • 33. Next Steps  Repeat analysis when better bathymetry becomes available  Examine how shoreline length and shore type are related to slope
  • 34. Acknowledgements Chris Patrick Meghan Williams Donald Weller Smithsonian Environmental Research Center Virginia Institute of Marine Science NOAA USGS

Hinweis der Redaktion

  1. Ecosystem services: primary production, provide carbon to detritivores, carbon sequestration, filter nutrient inputs, nursery ground for fish Biological sentinels for water quality and sediment inputs (Orth et al 2006)
  2. Agriculture: ¼ of land in chesapeake bay devoted to agriculture. Largest source of nutrient and sediment pollution entering bay
  3. People moving to coast, sea level rise->will be a lot more hardening
  4. Bulkhead: vertical wall, water depth often a meter + Reflected waves- damage sav, bury them with sediment
  5. Add graphic from slope creation Slope influences what potential habitat is available- steeper slope=takes less distance to reach -3 m deep Bottom scour from hardened shorelines could cause changes in slope
  6. Riprap: poorer resilience, do not recover as quickly from temporary declines Armoring can change near shore hydrology, morphology, water clarity, and sediment composition Many subestuaries in chesapeake bay up to 50% armored Significant because of populations moving to coast and sea level rise- hardening will increase
  7. Shore length, how far offshore effects extend, interaction with nearshore bathymetry Mention bathymetry last-> transition to slope
  8. Add photos
  9. edit
  10. Give same colors
  11. Mean density interaction only significant for natural shorelines
  12. Redo salinity zone image. Fix graph.
  13. edit