EPA/600/C-10/006
ARM 375
October 2010
www.epa.gov
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P Regional Vulnerability Assessment
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Welcome > Guided Assessment Select Subregional Assessment Area: Entire Region
O Reporting Unit:] 8D HUC v
O
Select Region:
Midwestern Landscapes
I
0
Guided Assessment Advanced Analysis
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Summary Statistics
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p	Metadata and Data Download
p	Glossary
F	Additional Resources
p	User Feedback
Guided Assessment
Guided Assessment
Refresh Map
Analytic
Overview of Regional Conditions
This overview map of the region incorporates results of three separate integration methods to highlight where
conditions are the best, worst and most vulnerable. The best conditions, indicated in green, are identified using the
best quintiles method, which highlights those areas that have either unusudly high numbers of resources or low
stressors or a combination of both. The worst conditions, indicated in red, are identified using the worst quintiles
methodwhich highlights those areas that have a high number of resources in poor condition, or an unusually high
number of stressors, or some combination of both. The vulnerable areas, indicated in yellow, use the stressor-
resource overlm method. which highlights areas that still have a significan: number of resourc es, but are also seeing
a high number of stresses, thus are vulnerable to losing resources in the short-term.
Best
Worst
Most Vulnerable
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Regional Vulnerability Assessment
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Welcome > Guided Assessment
fi
Select Region:
Midwestern Landscapes
Guided Assessment Advanced Analysis
First time users are encouraged to use
the Guided Assessment tool, which
allows you to choose from a number of
selections. Click the button below to
start the Guided Assessment.
Select Subregional Assessment Area: Entire Region
v O Reporting Unit: 3D HUC v
Start Guided
Assessment
Hccess ARC berve'"
Summary Statistics
ta and Data Download
Additional Resources
User Feedback

Guided Assessment
Guided Assessment Analytic
base Year vs. BiotuHl argets

O Distance Method (all metrics):
O ° Single Metric:
All
Percent Continuous Corn
o
'Note: on/y metrics a varfah/e h Future scenario are vis&le here
Make Map:
5tatic Map
Percent Continuous Corn (%)
Method Comparison
[] Map 1 better
I | Same
I I Mao 2 better
Interactive Map
Future-Percent Continuous Corn (%)
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Map displaying integration method
Select Region:
First time users are encouraged to use
the Guided Assessment tool, which
allows you to choose from a number of
selections, Click the button below to
start the Guided Assessment,
Start Guided
Assessment
Access ARC Server
Summary Statistics
Guided Assessment
Guided Assessment Analytic
Base Year vs. biotuel I argets
O Distance Method (all metrics):
0 o Single Metric:
All
Mean of Nitrogen Application
"Note: only metrics available in Future scenario are visfoie here
Make Map:
Static Map
Interactive Hap O
Regional Vulnerability Assessment
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Welcome > Guided Assessment
Select Subregional Assessment Area: Entire Region
Reporting Unit:j 8D HUC
e
Mean of Nitrogen Application (kg/ha)	Future-Mean of Nitrogen Application (kg/ha)
Method Comparison
J Map 1 better
j Same
I I Mao 2 better
i
Metadata and Data Download
Glossary
Additional Resources
User Feedback

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HOW
Regional Vulnerability Assessment
Logged On As: smith,betsy@epa.gov
Logoff
Welcome > Guided Assessment
Select Region:
I Midwestern Landscapes
H!u!de^ssessmen^^^^^^^^^^^
First time users are encouraged to use
the Guided Assessment tool, which
allows you to choose from a number of
selections. Click the button below to
start the Guided Assessment.
Start Guided
Assessment
Access ARC Server
Summary Statistics
i Metadata and Data Download
r Glossary
F Additional Resources
User Feedback
©
Ready,
Select Subregional Assessment Area: Entire Region
v 0 Reporting Unit: 8D HUC v O
Guided Assessment
Guided Assessment Analytic
tsase Tear vs. ttofuel largets
v
O Distance Method {all metrics):
O ° Single Metric:
All
Mean of Atrazine Application
v O
"Note: only metrics a vadabie in Future scenario are visible here
Make Map:
Static Hap
o
Interactive Map O
Mean of Atrazine Application (kg/ha)
Future-Mean of Atrazine Application (kg/ha)
Method Comparison
U Map 1 better
[" ~~l Same
I I Mao 2 better
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