US Army Corps of Engineers BUILDING STRONG ® Forecasting Ecosystem Shifts in Response to Climate...

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US Army Corps of Engineers BUILDING STRONG ® Forecasting Ecosystem Shifts in Response to Climate Change Dr. Jim Westervelt Construction Engineering Research Lab Engineer Research and Development Center Dr. William Hargrove Forest Service January 2010

Transcript of US Army Corps of Engineers BUILDING STRONG ® Forecasting Ecosystem Shifts in Response to Climate...

Page 1: US Army Corps of Engineers BUILDING STRONG ® Forecasting Ecosystem Shifts in Response to Climate Change Dr. Jim Westervelt Construction Engineering Research.

US Army Corps of Engineers

BUILDING STRONG®

Forecasting Ecosystem Shifts in Response to Climate Change

Dr. Jim Westervelt

Construction Engineering Research Lab

Engineer Research and Development Center

Dr. William Hargrove

Forest Service

January 2010

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Outline

Question Approach Results Discussion Conclusion

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QuestionIdeal:

How and when will ecosystems shift in response to climate change?

Two parts: Where can I currently find ecosystem driver

conditions that match forecasted driver conditions?

How and when will current ecosystems shift in response?

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Approach Identify a set of ecosystem drivers Develop global maps of those drivers

►For current and future conditions

Conduct a cluster analysis►To group related areas

Correlate clusters with current ecosystems Forecast future ecosystem conditions

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Ecosystem drivers1. Precipitation during the locally hottest quarter

2. Precipitation during the locally coldest quarter

3. Precipitation during the locally driest quarter

4. Precipitation during the locally wettest quarter

5. Ratio of precipitation to potential evapotranspiration

6. Temperature during the coldest locally quarter

7. Temperature during the hottest locally quarter

8. Sum of monthly Temp avg where Temp avg >= 5 deg C

9. Integer number of consecutive months where Temp avg >= 5 deg C

10. Available water holding capacity of soil

11. Bulk density of soil

12. Carbon content of soil

13. Nitrogen content of soil

14. Compound topographic index (relative wetness)

15. Solar interception

16. Day/night diurnal temperature difference

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Develop global maps of drivers

Choose general circulation models (GCM)► Hadley and PCM (high and low)

Choose climate scenarios► A1 (higher CO2) and B1(lower CO2)

Choose time► Current, 2050, 2100

Collect maps (for current and 8 futures)6

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Scenarios A1 scenarios characterized by:

► Rapid economic growth. ► A global population that reaches 9 billion in 2050 and then gradually

declines. ► The quick spread of new and efficient technologies. ► A convergent world.

B1 scenarios are characterized by:► Rapid economic growth as in A1► Rapid changes towards a service and information economy. ► Population as in A1. ► Reductions in material intensity and the introduction of clean and

resource efficient technologies. ► An emphasis on global solutions to economic, social and

environmental stability. 7

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Cluster Analysis Convert all maps to

standard-deviation form Run cluster analysis

(30,000 clusters) Grouping all 9 sets across the world!!

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Hargrove and Hoffman

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Illinois

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PCMB1

Scenario

Raw Clusters

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Illinois

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HadleyB1

Scenario

Raw Clusters

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Correlate Clusters with Ecosystems Choose ecosystem map

►GAP• US• 533 types

►TNC• Global• 814 types

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Correlate Clusters with Ecosystems

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TNC GAP

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Apply Correlations to Future Conditions

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2000

2050

2100

Hadley model – A1 scenario (high-high)

TNC GAP

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Results

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Forest Service Application

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http://www.geobabble.org/~hnw/global/treeranges/climate_change/index.html

Hadley, Scenario A1, 2050 - Longleaf_pinePCM, Scenario A1, 200-2100 - Chestnut_oak

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Sample GAP – Fort Knox

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Sample TNC – Fort Knox

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Sample Similar – Fort Knox

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Illinois GAP – Current

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CultivatedCropland

Pasture/Hay

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Illinois GAP – PCM A1 2050

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CultivatedCropland

Pasture/Hay

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Illinois GAP – PCM A1 2100

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CultivatedCropland

Pasture/Hay

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Illinois TNC – Current

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CentralTallgrass

Prairie

Ozarks

NorthCentralTillplain

InteriorLow

Plateau

Crosstimbers andSouthern

Tallgrass Prairie

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Illinois TNC – PCM A1 2050

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CentralTallgrass

Prairie

Ozarks

NorthCentralTillplain

InteriorLow

Plateau

Crosstimbers andSouthern

Tallgrass Prairie

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Illinois TNC – PCM A1 2100

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CentralTallgrass

Prairie

Ozarks

NorthCentralTillplain

InteriorLow

Plateau

Crosstimbers andSouthern

Tallgrass Prairie

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East-Cent Ill – Similar – Current

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East-Cent Ill – HAD B1 2050

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East-Cent Ill – HAD B1 2100

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Discussion We have a process for turning GCM-

>RCM forecasts into potential future ecosystem maps.

We applied the process to the last round of forecasts

Ready to apply to the next round Do s.d. maps solve the apples-to-oranges

question?

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Next?Two parts: Forecasted conditions currently support

what ecosystems? ✔ How and when will current ecosystems

shift in response? ►Resilience►Persistence►Seed distribution rates►??

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Quick Spatial Agent-based

Some Netlogo Models

Fire Ants and Cave Crickets, Ft Hood

Feral Hogs, Fort Benning

Cedar Infestation, Nebraska

Striped Newt, Ft. Stewart

Gopher Tortoise, Ft. Benning

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Questions??

Sample Forest Service forecasts of movement of optimal tree habitat: http://www.geobabble.org/~hnw/global/

treeranges/climate_change/index.html

ERDC-CERL forecasts of ecosystem shifts around military installations:► http://earth.cecer.army.mil

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