4/
7/
04
1
Next
Steps
Donna
Randall
Office
of
Pesticide
Programs,

Environmental
Fate
and
Effects
Division
4/
7/
04
2
Overview
°
Finalization
of
Version
2.0
­­
highest
priority
(
summer
2004)


Model
and
QA/
QC
Documentation

Beta
testing
and
case
studies
°
Additional
Modifications
(
Version
2.
x
­
3.
x)

1)
Species
sensitivity
distribution
extrapolation
2)
Effect
endpoint
3)
Initial
application
date
window
4)
Crop
scenario­
specific
drainage
area
to
volume
capacity
distributions
5)
Variability
and
uncertainty
in
dispersion
rate
constants
­
reevaluation
4/
7/
04
3
1)
Species
Sensitivity
Distribution
°
Extrapolation
of
a
species
sensitivity
distribution
from
a
minimum
required
Level
I
risk
assessment
data
set
Species
Sensitivity
CDF
ChemY
GF
C
GS
BG
TP
FHM
FDS
BKB
WSYP
CC
SMB
BT
LMB
BBH
RBT
FLC
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
1.0
1.5
2.0
2.5
LC50
(
Log
10)

Probability
4/
7/
04
4
1)
Species
Sensitivity
Distribution

Acute
freshwater
fish
­
2
species
(
prefer
bluegill
sunfish
and
rainbow
trout)


Acute
saltwater
invertebrate
­
2
species
(
mysid
shrimp,
mollusc,)


Acute
saltwater
fish
­
1
species
(
prefer
silverside
species)


Acute
freshwater
invertebrate
­
1
species
(
prefer
Daphnia
magna)

Required
Level
I
Acute
Tests
4/
7/
04
5
1)
Species
Sensitivity
Distribution

Freshwater
fish
embryo/
larval
(
or
full
life
cycle)
test
­
1
species

Saltwater
invertebrate
full
life
cycle
(
or
embryo/
larval)
test
­
1
species
(
mysid
shrimp)


Saltwater
fish
embryo/
larval
(
or
full
life
cycle)
test
­
1
species

Acute
freshwater
invertebrate
life
cycle
test
­
1
species
(
Daphnia
magna)

Required
Level
I
Chronic
Tests
4/
7/
04
6
2)
Effects
Endpoint
°
Develop
tools,
in
collaboration
with
ORD,
that
provide
risk
managers
with
population­
level
risk
assessments
4/
7/
04
7
3)
Initial
Application
Date
°
Incorporate
initial
application
date
as
a
uniform
distribution
rather
than
a
single
input
date
Each
line
represents
a
different
initial
application
date
4/
7/
04
8
4)
Crop
Scenario­
Specific
DA/
VC
Distributions
°
Develop
national
or
regional
crop
scenariospecific
DA/
VC
and
water
body
volume
distributions
using
digitized
DA/
VC,
water
volume
and
crop
data.

Kansas
sorghum
Texas
sorghum
4/
7/
04
9
5)
Variability
and
Uncertainty
in
Rate
Constants
°
Formal
evaluation,
using
an
expanded
data
set,
regarding
assumptions,

extrapolation
and
uncertainty
factors
used
for
setting
rate
constants
 
Magnitude
of
variability
 
Sample
size
and
affect
on
uncertainty
in
estimates
 
Correlations
between
rate
constants
