effects of oil exposure on submerged aquatic vegetation
TRANSCRIPT
Effects of Oil Exposure on Submerged Aquatic Vegetation Growth, Reproduction, and Herbivory
Charles W. MartinUniversity of Florida/IFAS
Nature Coast Biological Station
• Estuaries in the Gulf of Mexico provide much of the nation’s supply of fisheries, wetlands, & numerous desirable natural resources
From Lellis-Dibble et al. 2008
Deepwater Horizon Oil Spill
http://gomex.erma.noaa.gov/
Photo: Coxworth
Photo: Beinecke
• Effects of Oil on Submerged Aquatic Vegetation• Growth
• Reproduction
• Root Morphology
• Food Web Effects of Plant Oiling• Herbivory of oil-affected
plant tissue
• Future food web work
• Coastal vegetation provides numerous ecosystem services• Refuge for nekton
• Forage base for organisms
• Buffer from storms
• Water filtration
Cocodrie, LA
Lacombe, LA
Widgeon grass, Ruppia maritima
Port Sulphur, LA
From Pezeshki et al. 2000
Studies have focused on oil effects to emergent vegetation, while much less is known about
submerged vegetation
1. What are the effects of oil on Ruppiamaritima?
2. Are there food web implications from this oil exposure?
• Ruppia grown in 19L tanks at 10 psu for 31-33 days
• 4 randomized treatments:
(0mL)
(5mL)
(10mL)
(20mL)
• Tanks contained 2L of sediment and n=12/treatment
• In tanks containing oil, a layer was buried ~3cm deep before planting
Growth
Root Characteristics
Fruiting Bodies
Flowers
Reproduction
1. Growth (proportional change in weight, number of shoots)
Number of Shoots
Ch
an
ge/d
ay (
+1S
E)
0.00
0.05
0.10
0.15
0.20
0.25
0.30
None Low Medium High
p=0.737
Wet Weight
0.00
0.02
0.04
0.06
0.08
0.10
None Low Medium High
Ch
an
ge
/da
y (
+1
SE
)
p=0.494
1. Growth
2. Reproduction (proportional change in number of flowers, fruits)
Fruiting Bodies
Flowers
Fruiting Bodies
Flowers
Fruit
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
None Low Medium High
Ch
an
ge/d
ay (
+1S
E)
p=0.015A
A,B
BB
2. ReproductionFlowers
0.0
0.1
0.2
0.3
0.4
0.5
None Low Medium High
Ch
an
ge/d
ay (
+1S
E)
p=0.008
A,B
A
A,B
B
3. Root Characteristics (mass, length, diameter, area, uprooting strength)
Root Length
Le
ng
th (
mm
+1S
E)
0
20
40
60
80
100
120
None Low Med High
p=0.05A
A,B
A,B
B
Root Mass
Ma
ss (
mg
+1S
E)
0
2
4
6
8
None Low Medium High
p=0.686 Root Area
Are
a (
mm
2+
1S
E)
0.00
0.05
0.10
0.15
0.20
None Low Medium High
p=0.015
A
A,B
A,B
B
Root Diameter
Dia
mete
r (m
m+
1S
E)
0.0
0.1
0.2
0.3
0.4
0.5
None Low Medium High
p=0.021
A
A,B
A,B
B
NO OIL HIGH OIL
Uprooting Strength
Gra
ms o
f F
orc
e (
+1S
E)
0
50
100
150
200
250
None Low Medium High
A
A
B
B
p<0.001
Silliman et al. 2012
Turner et al. 2016
C:N Ratio
Treatment
C:N
Ra
tio
(+
1S
E)
20
22
24
26
28
30
None Low Medium High
A
A,B
A,B
B
p= 0.006Citation Plant Herbivore
Kraft & Denno 1982 Shrub Insects
Coley 1983 Terrestrial trees Insects
Schroeder 1983 Terrestrial tree Insects
Onuf et al. 1977 Mangroves Insects
Lilly 1975Various marine plants
Urchins
Bjorndal 1980 Seagrass Green turtle
Zieman et al. 1984 Seagrass Green turtle
Williams 1988 Seagrass Green turtle
McGlathery 1995 Seagrass Fishes
Preen 1995 Seagrass Dugong
Valentine & Heck 2001 Seagrass Urchins
Goecker et al. 2005 Seagrass Fishes
Oil Exposure = Lower C:N!
The link between C:N and Herbivory
Herbivores preferplants with highnitrogen content
• Laboratory herbivory assays
• Leaf tissue imbedded in agar matrix (Hay et al. 1984, Valentine & Heck 2001, Goecker et al. 2005, Prado & Heck 2011)
• Herbivores:• Grass shrimp (x5)
(Paleomonetes pugio)
• Amphipods (x10)(Gammarus mucronatus)
Experiment 1
Paired Choice Experiment
Experiment 2
Foraging Rate Experiment
Nonevs
Low
Nonevs
Medium
Nonevs
High
Lowvs
Medium
Lowvs
High
Mediumvs
High
None
Low
Medium
High
0.0
0.1
0.2
0.3
0.4
0.5
None Low
0.0
0.1
0.2
0.3
0.4
0.5
None Medium
-0.1
0.0
0.1
0.2
0.3
0.4
0.5
None High
-0.1
0.0
0.1
0.2
0.3
0.4
0.5
Low Medium
0.0
0.1
0.2
0.3
0.4
0.5
Low High
0.0
0.1
0.2
0.3
0.4
0.5
Medium High
Pro
po
rtio
n L
oss * *
**
p=0.19 p=0.49
p=0.04 p<0.01
p<0.01 p<0.01Treatment
Pro
po
rtio
n L
oss
0.00
0.05
0.10
0.15
0.20 A A
BB
None Low Medium High
p<0.01
All Comparisons n=12
Treatment
0.00
0.02
0.04
0.06
0.08
0.10
A
A
A
A
None Low Medium High
Experiment 1
Paired Choice Experiment
Experiment 2
Foraging Rate Experiment
-0.02
0.00
0.02
0.04
0.06
0.08
0.10
0.12
None Low
-0.02
0.00
0.02
0.04
0.06
0.08
0.10
0.12
None Medium
-0.02
0.00
0.02
0.04
0.06
0.08
0.10
0.12
None High
-0.02
0.00
0.02
0.04
0.06
0.08
0.10
0.12
Low Medium
-0.02
0.00
0.02
0.04
0.06
0.08
0.10
0.12
Low High
-0.02
0.00
0.02
0.04
0.06
0.08
0.10
0.12
Medium High
Pro
po
rtio
n L
oss
p=0.074 p=0.79
p=0.017
p=0.03p=0.012
p=0.071
p=0.0724 Hours
Treatment
0.00
0.02
0.04
0.06
0.08
0.10
0.12
A
B B B
None Low Medium High
p=0.01
48 Hours
*
**
All Comparisons n=12
+- no effect
Variable effects of DWH on populations
Small fish Large fishInsects
McCall & Pennings 2012 Able et al. 2015 Fodrie & Heck 2011
Food Web Resilience to Oil
McCann et al. 2017. Frontiers in Ecology and the Environment. 15(3): 142-149.
Food Web Resilience to OilLiterature Synthesis
McCann et al. 2017. Frontiers in Ecology and the Environment. 15(3): 142-149.
Extirpation of most sensitive nodes
oil
Unoiled Oiled
51 # Nodes 39
343 # Links 210
6.72 Link density 5.38
0.13 Connectance 0.14
oil
Extirpation of most sensitive nodes
1. What are the effects of oil on Ruppia maritima?
2. Are there food web implications from this oil exposure?
Reduced flowering, changes to root morphology, decreased uprooting force
Martin, C.W., L.C. Hollis, R.E. Turner. 2015. Effects of oil-contaminated sediments on submerged vegetation: an experimental assessment of Ruppia maritima. PLoS ONE 10(10): e0138797.
Martin, C.W., E.M Swenson. 2018. Herbivory of submerged aquatic vegetation Ruppia maritima. PLoS ONE 13(12): e0208463.
Because of changes to plant chemical composition, foraging trends were altered
• Funding: – This research was made possible in part by a grant from The Gulf of
Mexico Research Initiative. Data are publicly available through the
Gulf of Mexico Research Initiative Information & Data Cooperative
(GRIIDC) at https://data.gulfresearchinitiative.org.
– Northern Gulf Institute. The funders had no role in the design,
execution, or analyses of this project.
• Louisiana: G. Turner, K. Able, J. Fodrie, O. Jensen, P.
Lopez-Duarte, M. McCann, K. Oken, J. Olin, M. Polito, B.
Roberts, N. Rabalais, E. Swenson, J. Lee, C. Milan, G.
Peterson, R. Shaw
• Alabama: J. Valentine, K. Heck, S. Powers, S. Alford, K.
Blankenhorn, T. Kauffman, L. Steele, R. Puntila, S.
Sklenar, S. Madsen, M. Dueker, L. Lee
Acknowledgements
Questions?Email: [email protected]
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Zo
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lan
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pla
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ton
Inve
rts
Alter food web structure & resilience
Food w
eb im
port
ance
Oil sensitivity2017. Frontiers in Ecology and the Environment. 15(3): 142-149.
Food w
eb im
port
ance
Critically
sensitive
species
Critical
for
resilience
Few
indirect
effects
Oil sensitivity2017. Frontiers in Ecology and the Environment. 15(3): 142-149.
Oil sensitivityF
oo
d w
eb
im
po
rta
nce
Literature Synthesis
Critically
sensitive
species
Critical
for
resilience
Few indirect
effects
2017. Frontiers in Ecology and the Environment. 15(3): 142-149.
Ecological
Network
Analysis
Oil sensitivityF
oo
d w
eb
im
po
rta
nce
1 0 1 0 1 1 0 1
0 0 0 0 0 1 1 1
0 1 0 0 0 0 0 0
0 0 0 1 0 0 0 1
0 0 0 0 0 1 0 0
0 1 0 0 0 0 0 0
0 1 0 0 0 0 0 0
0 0 0 0 0 0 0 0
Diet Matrix
Literature Synthesis
Critically
sensitive
species
Few indirect
effects
Critical
for
resilience
2017. Frontiers in Ecology and the Environment. 15(3): 142-149.
Ecological
Network
Analysis
Oil sensitivityF
oo
d w
eb
im
po
rta
nce
1 0 1 0 1 1 0 1
0 0 0 0 0 1 1 1
0 1 0 0 0 0 0 0
0 0 0 1 0 0 0 1
0 0 0 0 0 1 0 0
0 1 0 0 0 0 0 0
0 1 0 0 0 0 0 0
0 0 0 0 0 0 0 0
Taxa Oil Sensitivity
Diet Matrix
Oil Sensitivity Data
Literature Synthesis
Critically
sensitive
species
Few indirect
effects
Critical
for
resilience
2017. Frontiers in Ecology and the Environment. 15(3): 142-149.
52 nodes376 links
Phytoplankton
Spartina alterniflora
Omnivorous snailsLittoraria irrorata
Piscivorous fish
No data (13)
0: none (16)
1: weak (10)
2: strong (12)
Oil Sensitivity
Food w
eb im
port
ance
Critically
sensitive
species
Critical
for
resilience
Few
indirect
effects
Oil sensitivity2017. Frontiers in Ecology and the Environment. 15(3): 142-149.
2017. Frontiers in Ecology and the Environment. 15(3): 142-149.
• Biomarker approach to food web effects• Bulk Stable Isotopes
• Fatty Acids
• Compound specific isotopes
Food Web Resilience to Oil
• Biomarker approach to food web effects• Bulk Stable Isotopes
• Fatty Acids
• Compound specific isotopes
Food Web Resilience to Oil
Fish Stomach Contents
• Biomarker approach to food web effects• Bulk Stable Isotopes
• Fatty Acids
• Compound specific isotopes
Food Web Resilience to Oil
Terrestrial plants are the primary carbon source for most terrestrial arthropods
Estuarine inverts mostly derive carbon from algae