This document summarizes a presentation about tools for phosphorus management. It discusses the history of phosphorus risk assessment and revisions to nutrient management standards. It also outlines outcomes from national phosphorus research projects, including standardized rainfall runoff study methods. Additionally, it provides an overview of phosphorus indices used for risk assessment and nutrient planning, and discusses best management practices to reduce phosphorus loss from agricultural lands.
2. History risk assessment
Revision of the NRCS 590 Nutrient
Management Standard & P Indices
Its use & misuse for P management
BMPs and their assessment
The way forward
Today’s presentation
4. • National P Research Project outcomes
Standardized methods for rainfall – runoff studies
Established relationships between STP and runoff
Integrated into P Indices
Incorporated into NMP process
• Success partly due to
Group effort – Land Grant & ARS
Flexibility to adapt to State needs
14. P loss affected by
many factors177
144
44
4620
1
<1
97
55
DP
8
DP78
92
0
Tony Buda, ARS, PA
Soil P – ppm
P added – kg P/ha/yr
Runoff – liters
P loss – kg P/ha/yr
16. • Runoff potential
• Erosion potential
• Leaching potential
• Proximity to stream
TransportSource
• Soil P content
• Added P
• Rate, method, timing
of fertilizer & manure
• Manure P solubility
17. 1
0
2
3
P index value for the site
0 50 100 150 200
R2=0.80
75 kg P/ha TSP
112 kg P/ha
poultry litter
150 kg P/ha
poultry manure
Runoff P,
g/ha
Very highHighMedLow
Soil P, mg/kg
19. • Disparity among Indices across the country
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
• The P Index was never meant to be the
solution to P management issues
20. 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 Low V. High High
4.0 Low High Med. Low Low V. high High
5.8 Low V. high V. high Low Med. V. high High
10.9 Low V. high V. high Low Med. V. high High
23.7 Low V. high V. high Low High V. high High
Osmond et al., 2012
21. • Appropriately account for major sources
& processes determining P loss & rank risk
of loss for any given site
• Directionally and magnitudinally correct
• Interpretations based on assigned risk are
equivalent across state borders, given
similar site & water resource conditions
• Where inadequacies exist, the causes can
be identified & addressed
22. •At a minimum this should include
Site runoff, management, climate,
water quality
Event, planning / rotation period &
annual loss
Natural rainfall
• Network of sites and data exchange
being developed – Kleinman et al.
• MANAGE – Daren Harmel
23. •Select appropriate model
APEX, APLE, DrainMod
Locally calibrated (within state)
Event, planning / rotation period &
annual loss
• Model & Index must estimate P loss &
simulate P mobilization & transport
over same time scales
24. Dietary P mgt. & use
of enzymes enhances
nutrient absorption &
reduces excretion
Manure additives
can reduce P
solubility & NH3 loss
Manure treatment
Solid-liquid
separation, struvite,
zeolite
Struvite
25. Subsurface injection
reduces P runoff & N
volatilization
Soil & manure
testing
to tailor rates
of P to apply
4 R’s
Appropriate rate, method
timing, & placement
of P can increase crop
uptake & decrease runoff
loss
26. Rotational grazing
reduces P runoff & N
leached
Stream bank
fencing
Decreases P
deposition in
streams
Conservation
tillage
reduces P runoff
Riparian buffers
trap particulate
nutrients
Cover crops
reduces P runoff
34. 1975 1985 1995 2005
0.12
0.09
0.06
0
0.03
Adaptive management may
have reduced nutrient loss
Incorporation of fertilizer and
manure
Winter cover crops
Spring fertilization
35. • Spring workload is huge with more
time-sensitive tasks
• Fertilizer usually costs more in spring
• Less soil compaction on frozen ground
But the reality is …….