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Developing and Testing Tools to 
Improve Targeting of Conservation 
Programs and Practices
Claire Baffaut & E. John Sadler
SWCS ‐ Annual International Meeting ‐ July 2014
Context
Problem
• Erosion and pollutant 
transport continues in 
spite of significant 
implementation of 
management practices
Causes
• changes in land use, 
• changes in 
management, 
• climate change, 
• but also sub‐optimal 
placement of BMP in 
the agricultural 
landscape 
Vulnerability, practice & effectiveness
Excellent                      Poor
Vulnerable                Resilient
Zero 
effect
Little 
effect
Little 
effect
Maximum 
effect
After Nowak and Cabot, 
JSWC, 59(6), 2004
What is targeting?
Geographic targeting Benefit/cost targeting
• Areas with the greatest 
potential improvement per 
dollar spent
• Most vulnerable areas
– Soil, land use, topography
• Most pristine areas
– Management
• Areas with the greatest 
potential improvement
– Soil, land use, topography, 
and management
(After World Resource Institute presentation 
by Michelle Perez)
Conclusions from WRI study
Compared to current BMP implementation 
strategy, Benefit/Cost targeting is:
– 12 times more effective for reducing N 
– 8 times more effective for reducing P
– 8 times more effective for reducing sediment
– 7.5 times more effective for sequestering carbon
How do we solve the problem?
Required Characteristics
• Validated
• Accurate
• User friendly
Tools
• Policy: voluntary vs 
mandatory
• Technical tools:
– Identify vulnerable areas
– Identify areas with 
potential environmental 
improvement
• Optimization tools 
• Review selected targeting tools and 
their validation techniques
• Identify gaps and next steps
Objectives
The topographic index (TI)
• Cornell group [Lyons et al. Hyd. Proc. 18.2004]
• Identify areas with high probability of 
saturation in a setting characterized by 
permeable soils on top of a restrictive layer.
• The most validated index?
Validation of the Topographic Index
• Comparison of predicted and observed (GPS 
located) saturated areas in a small watershed 
(2 km2).
• Additional corroboration by comparison with 
thermal images that qualitatively approximate 
wet areas in that same watershed.
• Comparison of high saturation probability 
with piezometer data (different watershed).
From Lyons et al. Hydrol. Processes 18, 2757–2771 (2004)
Other existing targeting tools
• Hydrology characterization tool (HCT, Brooks and 
Boll group, U of Idaho)
• Water input index (WII) and sediment retention 
index (SRI, Dosskey, Forest Service, Nebraska)
• Pesticide index (Shea group, U of Nebraska)
• Conductivity claypan index (CCI, Baffaut, Missouri)
• Soil vulnerability index (SVI, NRCS)
Validation Techniques
Tool
• HCT 
• WII and SRI
• Pesticide Index
• CCI
• SVI
Validation method
1. Professional judgment
2. Qualitative comparison to 
aerial photos
3. Comparison  to other 
indices
4. Comparison to model 
results
5. Limited comparison to data
1, 5
1,2,3
1,5
1,2,4
1,2,3,4
Summary:
Targeting index evaluation methods
• Expert knowledge of an area
• Overlay with aerial photos
• Comparison to other index methods
• Comparison to model results in test case
• Comparison to field data in test case
Gaps / Limitations
• Spatial analysis tools to identify visible 
critical areas in aerial photos. 
• Tools for spatial comparison of maps.
• Identification of non‐visible critical areas?
• What is the accuracy of models in 
simulating effectiveness of practices?
Next steps
• Evaluate models’ accuracy in simulating BMP 
effects when calibrated in the absence of a 
BMP.
• Develop and use advanced spatial and GIS 
analysis tools
• Conduct experimental work to test the validity 
of targeting.

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