STS Decisions in 2007
     
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    Table of PPA characteristics in 2007

State  Area Distance   N     Max   Max   Backgr. Priority Delimit   Action    Action Comment
PPA ID sqkm    km    traps  catch before  moths    index   index  recommended taken
IN-145    1   20.7      1      3     1   0.138      1.86    0.47      -         -   
IN-151  146   36.3     31      5     1   0.093      2.35    0.85   delimit   delimit
IN-157    1   12.5      1      4     0   0.269      1.08    0.45      -      delimit
IN-160    1   20.1      1      4     0   0.204      1.74    0.45      -      delimit
IN-203    1    8.9      1      3     1   0.311      0.17    0.45      -         -   
IN-204    1    9.9      1      4     0   0.263      0.46    0.45      -         -   
IN-205    1   16.7      1      5     0   0.220      1.87    0.47      -      delimit
IL- 44    1   26.0      1      3     0   0.257      1.42    0.42      -         -   
IL- 47   10   50.0      4      4     0   0.109      1.90    0.50      -      delimit
IL- 49    5   21.0      6      8     5   0.434      2.89    1.02   delimit   delimit
IL- 50    1   58.0      1      7     0   0.099      2.43    0.45   delimit   delimit
IL- 56   76   97.8      3      5     0   0.118      2.18    0.16      -         -   
IL- 61    1   71.4      1      3     0   0.058      1.77    0.26      -         -   

ID = Identification number of the potential problem area (see the map).
Distance =
 
Distance from the beginning of the STS action zone, km. Negative distance means that the PPA is in the monitoring zone.
N traps = Number of traps in the problem area.
Max catch = Maximum number of moths captured within the problem area.
Max before = Maximum number of moths captured in a 3-km neighborhood in the previous year.
Priority index = Shows the priority for STS action (either treatment or delimiting).
Delimit index = Shows how well the area was delimited in the previous year.
Backgr. moths = Mean log moth counts in a 25-km neighborhood.

See details in: Decision algorithm explained.

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    Maintained By Jiang Wu