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Washington State Department of Agriculture Washington State Department of Agriculture Using Targeted Monitoring to Evaluate Mi3ga3on Strategies that Reduce Pes3cide Loading to Streams Kelly McLain, Ma>hew Bischof, Jaclyn Hancock, George Tu>le Washington State Department of Agriculture September 2015 1

Using!Targeted!Monitoring!to!Evaluate!Mi3ga3on! … · 2015. 10. 15. · FM1!Event1 Rto!L 0.1 m/s 0.2 mph FM1!Event1 L!to!R 0.2 m/s 0.4 mph UD1!Event1 Rto!L 0.6 m/s 1.3 mph UD1!Event1

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Page 1: Using!Targeted!Monitoring!to!Evaluate!Mi3ga3on! … · 2015. 10. 15. · FM1!Event1 Rto!L 0.1 m/s 0.2 mph FM1!Event1 L!to!R 0.2 m/s 0.4 mph UD1!Event1 Rto!L 0.6 m/s 1.3 mph UD1!Event1

Washington  State  Department  of  Agriculture  Washington  State  Department  of  Agriculture  

Using  Targeted  Monitoring  to  Evaluate  Mi3ga3on  Strategies  that  Reduce  Pes3cide  Loading  to  Streams  

Kelly  McLain,  Ma>hew  Bischof,  Jaclyn  Hancock,  George  Tu>le  Washington  State  Department  of  Agriculture  

September  2015   1  

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Collabora3ve  Effort  

2  

 •   Summer  2014:  WSDA  and  NMFS  Pes7cide  BiOp  staff  sat  down  to  discuss          possible  targeted  monitoring  op7ons  to  reduce  data  gaps.    

–   Berry  crops  (blueberry  and  raspberry)  in  western  WA  are  plagued  by  SpoHed          Wing  Drosophila  (SWD),  a  fruit  fly  that  impacts  ripening  fruit.  This  pest  has        dras7cally  changed  pes7cide  use  prac7ces,  resul7ng  in  helicopter  applica7ons  of        insec7cides  during  the  peak  growing  and  harvest  periods.  – This  cropping  area  is  also  a  pilot  loca7on  for  the  installa7on  of  na7ve  riparian        hedgerows,  which  have  a  low  footprint,  low  installa7on  and  maintenance  costs,        and  quick  canopy  establishment.    

•   WSDA  partnered  with  the  pes7cide  users  and  dealers  to  iden7fy  study          loca7ons,  and  knowledgeable  experts  around  the  country  to  design  a  study        that  inves7gated  the  effec7veness  of  streamside  vegeta7on  in  further        reducing  pes7cide  loading  to  streams  during  aerial  applica7on.  

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Streamside  Vegeta3on  Study  

Study  Objec7ve:        How  effec3ve  is  streamside  vegeta3on  at  reducing  pes3cide  

loading  during  aerial  applica3on?  

Ø  Compare  sites  with:  

1.  No  vegeta7on  

2.  Smaller  (hedgerow  or  equivalent)  –  between  10  and  30  V.  

3.  Wider  vegetated  zones  (greater  than  30  V.)  

Ø  Site  specific  variables:  Applica7on  Method,  Weather  Condi7ons,  and  

Vegeta7on  Characteris7cs  

Ø  Deposi7onal  and  surface  water  samples  were  used  to  measure  

effec7veness  of  the  vegeta7on    

3  

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Sampling  Design  

•  5  blueberry  fields,  2  control  and  3  vegetated    

•  Pre-­‐applica7on  vegeta7on  assessment  at  each  site      

•  8  total  spray  events  –  4  control,  4  vegetated    

•  All  sites  were  evaluated  during  spray  events  using:  –  deposi7onal  samplers  (for  driV)  on  six  transects,  three  loca7ons  within  each  transect,    

–  auto  samplers  to  sample  all  flowing  water,  –  grab  samples  before  and  aVer  for  non-­‐flowing  or  ponded  water,  and  

–  weather  sta7ons  placed  nearby  but  off-­‐farm    4  

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Preliminary  Data  Evalua3on  

•  Data  were  compared  for  one  single-­‐sided  control  site  (UD2)  and  one  single-­‐sided  vegetated  site  (FM2),  and  one  double-­‐sided  control  site  (UD1)  and  one  double-­‐sided  vegetated  site  (FT1).    

5  

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Transect  Layout  –  UD2  

6  

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Transect  Layout  –  FM2  

7  

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Transect  Layout  –  UD1  

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Transect  Layout  –  FT1  

9  

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Site  Assessment  Criteria  

10  

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Site  Comparison:  One-­‐Sided  Control  vs.  Vegetated  

11  

Site  Characteris3cs  (Averages)   Control  (UD2)*   Vegetated  (FM2)  

Bankfull  Width  (m)   6.15   6.04  

WeHed  Width  (m)   0.21   3.88  

Depth  (cm)   2.50   58.33  

In  Channel  Densiometer  (%)   95.10   99.75  

Vegeta7on  Height  (m)   NA   6.44  

Vegeta7on  Width  (m)   NA   4.90  

Vegeta7on  Densiometer  (%)   NA   98.5  

Predominant  Species   Reed  Canary  Grass   Willow,  Spirea  

*4  transects  dry  

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Site  Comparison:  Double-­‐Sided  Control  vs.  Vegetated  

12  

Site  Characteris3cs  (Averages)   Control  (UD1)   Vegetated  (FT1)  

Bankfull  Width  (m)   4.2   7.9  

WeHed  Width  (m)   1.8   6.4  

Depth  (cm)   16.5   43.2  

In  Channel  Densiometer  (%)   48.8   76.0  

Vegeta7on  Height  (m)   0.0   6.5  

Vegeta7on  Width  (m)   NA   8.4  

Vegeta7on  Densiometer  (%)   0.0   93.4  

Predominant  Species   Reed  Canary  Grass   Willow,  Spirea  

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Study  Design  –  Deposi3onal  

13  

•  Each  treated  field  was  divided  into  6  equal  transects.    

•  Within  each  transect,  three  zones  were  established  to  evaluate  chemical  movement  away  from  the  targeted  crop  field-­‐edge,  veg,  and  water  

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Transect  Sizes  –  (Single-­‐Sided)  

14  

7.8   8.0  

7.3  

7.3  

7.4  

6.6  

15.3  

14.7  

14.0   15.0  

14.0  

14.8  

0.0  

2.0  

4.0  

6.0  

8.0  

10.0  

12.0  

14.0  

16.0  

18.0  

6   5   4   3   2   1  

Distan

ce  (m

)  

Transect  

Distance  from  Field-­‐edge  to  Water  (One-­‐Sided  Sites)  

Control  Site  (UD2)   Vegetated  Site  (FM2)  

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Transect  Sizes  –  (Double-­‐Sided)  

15  

6.0  

4.8   5.6   6.5  

6.2   6.6  

19.5  

18.6   19.8  

18.5   20

.6  

19.2  

0  

5  

10  

15  

20  

25  

6   5   4   3   2   1  

Distan

ce  (m

)  

Transect  

Avg.  Distance  from  Field-­‐edge  to  Water  (Two-­‐Sided  Sites)  

Control  (UD1)   Vegetated  (FT1)  

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Study  Design  –  Water  

•  Where  flowing  water  was  present,  autosamplers  were  set  up  to  take  samples  upstream  and  downstream  of  the  treated  field.  –  4  -­‐  400mL  composite  samples  were  taken  in  24  minute  intervals.    

•  In  the  absence  of  flowing  water,  grab  samples  were  taken  before  and  aVer  each  treatment  event.  (WA  State  is  experiencing  its  worst  drought  in  recorded  history  –  ponded  water  is  not  reflec7ve  of  typical  condi7ons.)    

16  

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Results  –  Control  (UD2)  

17  

14,667  

2,889  

6,000  

16,222  

6,889  

4,667  

4,444  

76  

3,778  

6,667  

3,111  

1,822  

1,844  

1,333  

1,667  

2,222  

1,311  

422  

0  

5000  

10000  

15000  

20000  

6   5   4   3   2   1  

Malathion

 (µg/m

2 )  

Transect  

Deposi3onal  Results-­‐Control  Site  (UD2)  

Field-­‐edge  

Vegeta3on  

Water  

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Results  –  Vegetated  (FM2)  

18  

11,111  

33,333  

13,111  

93,333  

17,556  

60  

10,000  

2,222  

2,667  

2,444  

93  

933  

144  

71  

98  

8   5   6  

0  

20000  

40000  

60000  

80000  

100000  

6   5   4   3   2   1  

Malathion

 (µg/m

2 )  

Transect  

Deposi3onal  Results-­‐Vegetated  Site  (FM2)  

Field-­‐edge  

Vegeta3on  

Water  

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Results  –  Control  Double-­‐Sided  (UD1)    

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Results  –  Vegetated  Double-­‐Sided  (FT1)  

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Deposi3onal  Results  

21  

8,556  

3,316  

1,467  

28,084  

3,060  

55  

0  

5000  

10000  

15000  

20000  

25000  

30000  

35000  

40000  

45000  

Field-­‐edge   Veg   Water  

Malathion

 (µg/m

2 )  

Average  Malathion  Deposi3on  

Control  (UD2)  

Vegetated  (FM2)  

*  Error  bars  represent  standard  error,  not  standard  devia3on  

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Deposi3onal  Results  –  Double-­‐Sided  

22  

9678  

4596  

4311  

6065  

929  

349  

0  

2000  

4000  

6000  

8000  

10000  

12000  

Field  Edge   Veg   Water  

Malathion

 (µg/m

2 )  

Average  Malathion  Deposi3on  at  Two-­‐Sided  Sites  

Control  (UD1)  

Vegetated  (FT1)  

*  Error  bars  represent  standard  error,  not  standard  devia3on  

(n=12)   (n=6)  

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Results  

23  

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Water  Sample  Results  –  Vegetated  (FM2  &  FT1)  

24  

Samples   Time  (min)   Results  FM2  (µg/L)   Results  FT1  (µg/L)  

1UP   0-­‐24   ND   0.10  

2UP   24-­‐48   ND   ND  

3UP   48-­‐72   ND   0.13  

4UP   72-­‐96   ND   0.061  

1DN   0-­‐24   ND   0.23  

2DN   24-­‐48   0.11   0.29  

3DN   48-­‐72   0.054   0.27  

4DN   72-­‐96   ND   0.27  

*ESLOC:  1.65  µg/L  

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Grab  Sample  Results  –  UD1  vs.  FT1  

25  

Samples   Results  UD1  (µg/L)   Results  FT1  (µg/L)  

All  Before  Grabs   ND   ND  

AVer  T6   7.1   0.008  

AVer  T5   3.1   0.081  

AVer  T4   2.9   0.15  

AVer  T3   3.3   0.17  

AVer  T2   3.4   0.18  

AVer  T1   6.9   0.28  

*ESLOC:  1.65  µg/L  

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Summary  Wind  Data  

Site Direc3on Max  observed  wind

UD2  Event  1 towards  water  (R  to  L) 0.5 m/s 1.1 mph

UD2  Event  1 away  from  water  (L  to  R) 0.7 m/s 1.6 mph

FM1  Event  1 R  to  L 0.1 m/s 0.2 mph

FM1  Event  1 L  to  R 0.2 m/s 0.4 mph

UD1  Event  1 R  to  L 0.6 m/s 1.3 mph

UD1  Event  1 L  to  R 0 m/s 0 mph

FT1  Event  1 towards  water  (R  to  L) 0 m/s 0 mph

FT1  Event  1 away  from  water  (L  to  R) 0.8 m/s 1.8 mph

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Acknowledgements  

•  Partnered  Blueberry  Producers  •  Aaron  Bagwell,  Whatcom  Farmers  Co-­‐Op  •  Kyle  Blackburn,  Essen7al  Flight  Ops,  LLC  •  Steve  Thun  and  Rick  Jordan,  Pacific  Agricultural  Labs  •  Washington  Blueberry  and  Red  Raspberry  Commissions  •  Tony  Hawkes,  ScoH  Hecht,  Cathy  Laetz,  and  Thomas  Hooper,  NMFS  

Pes7cide  BiOp  team  •  Bernalyn  McGaughey  and  staff,  Compliance  Services  Interna7onal  •  Heather  Hansen,  Washington  Friends  of  Farms  and  Forests  •  Members  of  OPP  EFED,  EPA  Headquarters  •  Spray  DriV  Issue  Management  Team  members,  Crop  Life  America  •  John  Hanzas,  Stone  Environmental  •  Paul  Whatling,  Cheminova  

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Ques3ons?  

28