identify and synthesize methods to refine phosphorus indices from three regional indexing efforts
TRANSCRIPT
Water to Worth 2015Advancing Sustainability in Animal
AgricultureSeattle, WA
Refining P Indices
Andrew SharpleyCrop, Soil,& Environmental
Sciences
Development of P Indices
Maryland implements restrictive STP thresholds for nutrient mgt. & P
applications
1998
1999
Joint US EPA & USDA Initiative requires P loss assessment prior to applying P Site specific assessment using a P index, Soil-specific P threshold level, or Soil test P recommendations
Development of P Indices
Reviewing P Indices
2009• Disparity among Indices
Varied with soils, topography, & state priorities
• Often, not leading to a decline in STP nor improvement in water quality Legacy effects
• Perceived as “farmer friendly”
P loss kg ha-1
AL AR GA MS NC TN TX
0.5 Low Low Low Low Low High Med.
2.7 Med. High High Low LowV.
HighHigh
4.0 Low High Med. Low LowV.
highHigh
5.8 LowV.
highV.
highLow Med.
V. high
High
10.9 LowV.
highV.
highLow Med.
V. high
High
23.7 LowV.
highV.
highLow High
V. high
High
Southern P Indices
Osmond et al., 2012
The P Index was never meant to be the solution to P
loss issues!
Main recommendations of SERA-17’s review All Indices must represent locally relevant P
source & transport factors All Indices must have a zero P application
category All States must show Indices are directionally
& magnitudinally correct
2010
Revising P Indices
Chesapeake Bay
• Establish 11 benchmark watersheds Water quality information Land treatment information
• Identify practices of concerns by physiographic region (4) using expert panels composed of Farmers & farm advisors State & local agencies & environmental
groups
• Panel will Evaluate practices that reduce P loss
from agricultural fields
Assess P indices & recommend changes
• Compare P Indices to water quality data & water quality modeling data
Three models will be used: SWAT, APEX, APLE, & Drainmod
Chesapeake Bay
• Collate water quality & land treatment data from 21 plot or watershed projects
• Compare P-Index ratings against water quality data
• Compare water quality models (SWAT, APEX, APLE, Drainmod) against water quality data & P Index ratings
• Refine Southern P Indices
Southern States
• Assess rigor required in calibrating APEX Use data from existing runoff studies in
region Compare “out-of-the-box” versus fully
calibrated model for evaluating Indices
• Use calibrated model to assess & modify P Indices
• Develop & assess regional P Index for state’s consideration
• Work with stakeholders throughout project
Heartland States
Ohio
• Revise OH-PI through use of field-scale, edge-of-field monitoring data
• Improve assessment of the potential for P loss from tile drains
• Integrate additional BMPs into OH-PI
• Develop a web-based, easy to use, web-based GIS tool
Wisconsin
• Previous assessment with field runoff data found WI Index accurate if avg. runoff & erosion estimates accurate
• Modify Index to quantify avg. runoff from frozen/thawing soils
• Identify BMPs to minimize P runoff when animal manure applied to frozen soils
November 14th, 2014
Maryland’s Governor O’Malley pushes forward a P Management Tool
2014
Adopting MD’s revised P Index
January 20th, 2015
Maryland’s newly elected Governor Hogan repeals revised P
Management Tool
2015
Adopting MD’s revised P Index
June 8th, 2015Agriculture Article, §§8-801—8-806,
Annotated Code of Maryland
Newly revised P Management Tool
Adopting MD’s revised P Index
2015
• Define unacceptable / high Index rating that preclude P applications
• Synthesize commonalities among regional projects & integrate different outcomes
• Build a harmonized framework that yields consistent P-based risk assessment across the U.S.
• Lessons learnt
National synthesis