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Climate-resilient Coasts
How long-term research and restoration informs management
Karen McGlathery
University of Virginia
Virginia Coast Reserve LTER
VCR LTER:
Causes and consequences of non-linear ecosystem state change
Coastal Blue Carbon Systems
Challenges to incorporating blue carbon in global models:
- Estimating stocks and sequestration rates
- Understanding effects of habitat loss and recovery
Coastal habitats are
global hotspots
for blue carbon storage
O2
O2X X
Global stock estimates
led by LTER scientists
Adapted from Fourqurean et al 2012, Pan et al 2011, Pendleton et al 2012
LTER site contributions to
quantifying blue carbon stocks
Carbon stores in mangrove
forests 3x terrestrial forests
Jerath et al. 2016McGlathery et al. 2012
Carbon stores in seagrass
meadows 4x bare
sediments
Carbon burial rates in
Marshes exceeds forests
Drake et al. 2015
31%
Fate of anthropogenic CO2 emissions
(2006-2015)
Source: CDIAC; NOAA-ESRL; Houghton et al 2012; Giglio et al 2013; Le Quéré et al 2016; Global Carbon Budget 2016
26%
91%
9%
44%
Sources = Sinks
Including blue carbon, ocean
sequestration equals forests
X32%
Blue Carbon = 25%
ocean sequestration
Virginia Coast Reserve: Loss and recovery
every 30 minutes
Rate of seagrass loss has accelerated
Waycott et al (2009)
215 studies, 126 years of data
since 1980
29% loss since 1880’s; 1.5% per year
Slime mold
wasting disease
VCR loss due to pandemic
wasting disease and “Great
Storm” of 1933
Cheapeake
Bay
VCR
Atlantic
Ocean
Reversing the state change
seeds
web.vims.edu/bio/sav/
500 acres seeded
70 million seeds
6200 acres meadow
= 25 km2
Reversing the state change
South BaySouth Bay0.5 – 1 acre plots
100k seeds acre-1
0
100
200
300
400
500
600
700
0 2 4 6 8 10 12 14 16
Density(shootsm-2)
Meadow Age (yr)
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
0 – 15 years
Recovery is non-linear
Limited by seed
recruitment
Restoration reinstates soil carbon stores
Plant density drives burial rates
Greiner et al. 2013
CO2
Buried
Carbon
Particulate
Organic C
After 12 yr, burial within
range of natural systems
40% Seagrass
50% Benthic microalgae
10% Marsh
Data typically recorded at 32 - 64 Hz,
5 - 30 cm above benthic surface
Carbon sequestration in plant biomass
Measured by Aquatic Eddy Covariance
Peter Berg
24 hours
Delgard, Berg, McGlathery
For each 24-hour period, calculate GPP and R
Carbon sequestration in plant biomass
Measured by Aquatic Eddy Covariance
10-100 m2
2013 – 2014
2015
Changes in metabolism with restoration
Bare
Summer
0
100
200
300
400
500
600
700
0 2 4 6 8 10 12 14 16
Density(shootsm-2)
Meadow Age (yr)
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
2014
2014
2016
How resilient are
these systems?
2015
2015
2016
2016
High temperatures cause dieback
2014
2015
2016
How resilient are
these systems?
Rate of recovery
varies spatially
Temperature also
drives recovery
28 oC is
maximum
temperature
threshold
32%
53%
Low
recovery
High
recovery
High temperatures cause dieback
Jul 2014 Jul 2015
In 2105
temperatures
exceeded 28 oC
threshold 50%
of the time
Proportion
with
temperature
>28o
Low Tide
High Tide
High tides relieve
temperature stress
bathymetry
High flushing,
Short
residence time
Higher resilience
+
VCR contributions to blue carbon
• Stocks and sequestration returned within decade
• Temperature drives resilience and recovery
Long-term research critical to
• Understanding recovery and resilience of restored
ecosystems; Actionable science for management
LTER has unique capability to provide answers
• Combine long-term data with process studies to
understand mechanisms
• Long-term trends and landscape scales needed to
understand resilience
• Network of sites allows comparison to reveal generality
VCR contributions to blue carbon
• Stocks and sequestration returned within decade
• Temperature drives resilience and recovery
• Can provide guidance for management
LTER has unique capability to provide answers
• Combine long-term data with process studies to
understand mechanisms
• Long-term trends and landscape scales needed to
understand resilience
• Network of sites allows comparison to reveal generality

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Climate-Resilient Coasts: How long-term research and restoration informs management

  • 1. Climate-resilient Coasts How long-term research and restoration informs management Karen McGlathery University of Virginia Virginia Coast Reserve LTER
  • 2. VCR LTER: Causes and consequences of non-linear ecosystem state change
  • 3. Coastal Blue Carbon Systems Challenges to incorporating blue carbon in global models: - Estimating stocks and sequestration rates - Understanding effects of habitat loss and recovery
  • 4. Coastal habitats are global hotspots for blue carbon storage O2 O2X X
  • 5. Global stock estimates led by LTER scientists Adapted from Fourqurean et al 2012, Pan et al 2011, Pendleton et al 2012
  • 6. LTER site contributions to quantifying blue carbon stocks Carbon stores in mangrove forests 3x terrestrial forests Jerath et al. 2016McGlathery et al. 2012 Carbon stores in seagrass meadows 4x bare sediments Carbon burial rates in Marshes exceeds forests Drake et al. 2015
  • 7. 31% Fate of anthropogenic CO2 emissions (2006-2015) Source: CDIAC; NOAA-ESRL; Houghton et al 2012; Giglio et al 2013; Le Quéré et al 2016; Global Carbon Budget 2016 26% 91% 9% 44% Sources = Sinks Including blue carbon, ocean sequestration equals forests X32% Blue Carbon = 25% ocean sequestration
  • 8. Virginia Coast Reserve: Loss and recovery
  • 9. every 30 minutes Rate of seagrass loss has accelerated Waycott et al (2009) 215 studies, 126 years of data since 1980 29% loss since 1880’s; 1.5% per year
  • 10. Slime mold wasting disease VCR loss due to pandemic wasting disease and “Great Storm” of 1933 Cheapeake Bay VCR Atlantic Ocean
  • 11. Reversing the state change seeds web.vims.edu/bio/sav/ 500 acres seeded 70 million seeds 6200 acres meadow = 25 km2
  • 12. Reversing the state change South BaySouth Bay0.5 – 1 acre plots 100k seeds acre-1
  • 13. 0 100 200 300 400 500 600 700 0 2 4 6 8 10 12 14 16 Density(shootsm-2) Meadow Age (yr) 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 0 – 15 years Recovery is non-linear Limited by seed recruitment
  • 14. Restoration reinstates soil carbon stores Plant density drives burial rates Greiner et al. 2013 CO2 Buried Carbon Particulate Organic C After 12 yr, burial within range of natural systems 40% Seagrass 50% Benthic microalgae 10% Marsh
  • 15. Data typically recorded at 32 - 64 Hz, 5 - 30 cm above benthic surface Carbon sequestration in plant biomass Measured by Aquatic Eddy Covariance Peter Berg
  • 16. 24 hours Delgard, Berg, McGlathery For each 24-hour period, calculate GPP and R Carbon sequestration in plant biomass Measured by Aquatic Eddy Covariance 10-100 m2
  • 17. 2013 – 2014 2015 Changes in metabolism with restoration Bare Summer
  • 18. 0 100 200 300 400 500 600 700 0 2 4 6 8 10 12 14 16 Density(shootsm-2) Meadow Age (yr) 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2014 2014 2016 How resilient are these systems? 2015 2015 2016 2016 High temperatures cause dieback
  • 19. 2014 2015 2016 How resilient are these systems? Rate of recovery varies spatially
  • 20. Temperature also drives recovery 28 oC is maximum temperature threshold 32% 53% Low recovery High recovery
  • 21. High temperatures cause dieback Jul 2014 Jul 2015 In 2105 temperatures exceeded 28 oC threshold 50% of the time Proportion with temperature >28o
  • 22. Low Tide High Tide High tides relieve temperature stress bathymetry High flushing, Short residence time Higher resilience +
  • 23. VCR contributions to blue carbon • Stocks and sequestration returned within decade • Temperature drives resilience and recovery Long-term research critical to • Understanding recovery and resilience of restored ecosystems; Actionable science for management LTER has unique capability to provide answers • Combine long-term data with process studies to understand mechanisms • Long-term trends and landscape scales needed to understand resilience • Network of sites allows comparison to reveal generality VCR contributions to blue carbon • Stocks and sequestration returned within decade • Temperature drives resilience and recovery • Can provide guidance for management LTER has unique capability to provide answers • Combine long-term data with process studies to understand mechanisms • Long-term trends and landscape scales needed to understand resilience • Network of sites allows comparison to reveal generality