Theory and Hands On: Habitat Risk Assessment
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Transcript of Theory and Hands On: Habitat Risk Assessment
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Theory and Hands On: Habitat Risk Assessment
Katie Arkema, Joey Bernhardt, Gregg Verutes
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Goals for this session
• Gain an understanding of science behind the model
• Understand the data you need to run the model and practice running it yourself
• Share examples of how the model can be used to meet management and conservation goals
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Habitats
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Habitats provide services Habitat for fisheries Recreational opportunities Storm protection
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Halpern et al 2008
Risk to habitat structure and function
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Scenarios ServicesHabitat Risk
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Questions the model can answer
• Which habitats are most at risk and where?
• What types of management options may be useful for reducing risk?
• Where may human activities create trade-offs among environmental services by posing risk high enough to compromise habitat structure and function?
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Final output
habitat risk ecosystem risk
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• Cumulative impact mapping (Halpern et al 2008)
• InVEST Habitat Quality model• Risk assessment literature
Related models and approaches
Human health, safety engineering, oil, military, aerospace Fisheries science
HIGH RISK
Cons
eque
nce
Exposure
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What do we mean by risk?
• Where is the ice in relation to my car and me?
• Has the ground been sanded?
• Is the ice just thin and patchy or more dangerous?
Should I walk over the ice to my car?
• If I fall, how bad will my injury be?
• Am I young and resilient or old? Will I break an arm or leg?
• Am I wearing high heels or snow boots?
Exposure Consequence
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CriteriaExposureSpatial overlapTemporal overlapIntensityManagement effectiveness
ConsequenceChange in areaChange in structureFrequency of natural disturbanceNatural mortalityRecruitmentAge at maturity/recovery timeConnectivity
Patrick et al 2010, Hobday et al. 2007
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Criteria RatingsExposureSpatial overlapTemporal overlapIntensityManagement effectiveness
ConsequenceChange in areaChange in structureFrequency of natural disturbanceNatural mortalityRecruitmentAge at maturity/recovery timeConnectivity
Patrick et al 2010, Hobday et al. XXXPatrick et al 2010, Hobday et al 2007
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Criteria RatingsExposureSpatial overlapTemporal overlapIntensityManagement effectiveness
ConsequenceChange in areaChange in structureFrequency of natural disturbanceNatural mortalityRecruitmentAge at maturity/recovery timeConnectivity
3123
3323112
Weighted average data quality importance
Weighted average data quality importance
3123
3323112
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Calculate risk
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Outputs – Risk mapsWhere is risk highest?
cumulative habitat risk ecosystem risk
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R I S K T OS E A G R A S S
Outputs - Risk hotspotsWhere may services provided by habitats be compromised in the future?
R I S K T OC O R A L S
R I S K T OM A N G R O V E S
H a b i t a t R i s k A s s e s s m e n t
H i g hL o w M e d i u m
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Outputs – Risk plotsStrategies for reducing risk
EXPOSURE
(exogenous: management, intensity, timing etc)
Consequence(endogenous: regeneration, connectivity etc)
HIGH RISK
LOW RISK
Intensive intervention: if this area overlaps with high benefits, then limit damaging uses and restore here
Monitor and prepare for climate stressors etc.
Low intensity intervention
Develop uses here
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Applications
• Belize – coastal zone management plan• WCVI – site activities, trade-offs among
services
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Coastal zone management plan for Belize
Draft zoning plans• current uses• future uses• stakeholder engagement• reports
HIGH RISK
Cons
eque
nce
EXPOSURE
Risk to habitats• coral• mangroves• seagrass
Fisheries
Coastal protection
Tourism opportunities
Stakeholder, local scientists and government officials
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H a b i t a t R i s k A s s e s s m e n t
H i g hL o w M e d i u m
RISK TOSEAGRASS
H i g hR i s kA r e a(km2)
6 . 4 4 5 6 . 1 0 9 8 . 7 0
Outputs - Risk hotspotsWhere may services provided by habitats be compromised in the future?
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Terrestrial/freshwater model: Tier 1 supporting serviceTerrestrial/freshwater model: Tier 1 that quantifies service
Coastal Vulnerability
Coastal Protection
Overlap Analysis
Renewable Energy
Habitat Risk Assessment; Biodiversity
Reservoir Hydropower Production
Sediment Retention
Managed Timber
Production
Crop Pollination
Water Purification
Marine model: Tier 1 that quantifies serviceMarine model: Tier 0
Marine model: Tier 1 supporting service
InVE
ST M
odel
s & L
inka
ges
AestheticQuality
Recreation
Carbon Storage &
Sequestration
(Blue Carbon)
Agricultural Production
Flood Risk Mitigation
Groundwater Recharge
Fisheries (including
recreational)
AquacultureMarine Water
Quality
Optional model linkage, no sequencingRequired/optional model linkage, sequencing needed
Model coming soon!
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What types of decisions could the HRA model inform?
Decision Context GeographyMarine Spatial Planning WCVI
Coastal Zone Management Belize
Identification of indicators for ecosystem-based management
Puget Sound
Climate adaptation (ecosystem-based adaptation)
Monterey Bay
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Data requirements• Shapefiles for all habitats• Shapefiles for all stressors• Criteria rating table
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Break for hands-on session
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Future Ecosystem Risk (cumulative risk to all habitats)
You have a risk map! Now what?
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Which stressors pose the greatest risk?
Where are the risk hotspots?
Where will there be trade-offs among activities?
1.
2.
3.
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Which stressors pose the greatest risk?
Where are the risk hotspots?
Where will there be trade-offs among activities?
1.
2.
3.
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Forestry Recreation and tourism Shellfish harvestEelgrass restoration
New resort
New clearcuts
New shellfish tenures
Eelgrass restoration
Sketch out possible futures
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Shellfish harvest, tourism
Habitat extent
Effects on other services that depend on healthy habitats?
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Future Ecosystem Risk (cumulative risk to all habitats)
Trade-offs among services
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Population centers
Macoah
Identify unexpected consequences and trade-offs
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Now you know where the risk hotspots are,
and which stressors are
driving them…how
can you prioritize your management?
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EXPOSURE
(exogenous: management, intensity, timing etc)
CONSEQUENCE(endogenous: regeneration, connectivity etc)
LOW RISK
Develop uses here
Intensive intervention: limit damaging uses and restore here, esp. if overlap with important benefits
Monitor and prepare for climate stressors etc.
Low intensity intervention
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Move shellfish tenures away from population centers
Restore eelgrass in high risk, high benefit locations
Space matters: reduce incompatibilities by shifting activities in space
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Back to the big picture
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InVEST HRA can:
1. Screen the risk of current and future stressors.
2. Prioritize management where it’s most needed and effective.
3. Identify trade-offs among ecosystem services.
Take-away messages
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Floathomes
Shellfish tenures
Value ($)2,209 - 44,640
44,641 - 87,072
87,073 - 129,503
129,504 - 171,935
Floathomes
Shellfish tenures
Value ($)2,209 - 44,640
44,641 - 87,072
87,073 - 129,503
129,504 - 171,935
Ecosystem risk<VALUE>
1.24 - 2.80
2.80 - 4.35
4.35 - 5.91
Float homes and shellfish tenures in Lemmens Inlet
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Floathomes
Shellfish tenures
Value ($)2,209 - 44,640
44,641 - 87,072
87,073 - 129,503
129,504 - 171,935
Ecosystem risk<VALUE>
1.24 - 2.80
2.80 - 4.35
4.35 - 5.91
Risk to ecosystems from float homes and oyster farms
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Future directions
• Ability to modify criteria• Functionality to calculate habitat connectivity• Spatial variation in criteria – esp. intensity,
management effectiveness• Expand sample data• Other ideas?
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Acknowledgements
Marine TeamGreg Guannel, Anne Guerry, Mary Ruckelshaus, Jess Silver, Jodie
Toft, Spencer Wood
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