Figures (0)  Tables (3)
    • Loss source
      LSnDa.kscdsn. II.Σ n. II.% II.
      Liriomyza sp. (mines)4780.86000.0018271.000.04860.09153.49
      Bemisia sp.23330.88000.0004321.000.01210.09113.29
      Phaneropterinae510.02060.0004270.930.01020.09111.21
      Tetranychus sp.7090.96000.001461.000.00810.0918.95
      T. collaris170.00690.0004140.740.00420.0914.61
      S. anchoralis50.00200.000431.000.00120.0911.33
      Charidotis sp.40.00160.000421.000.00080.0910.89
      Alagoasa sp.50.00200.000450.360.00070.0910.80
      Cerotoma sp.40.00160.000440.400.00060.0910.71
      Curculionidae30.00120.000430.440.00050.0910.59
      Lordops sp.30.00120.000430.440.00050.0910.59
      Walterianela sp.20.00080.000411.000.00040.0910.44
      Lepidoptera20.00080.000420.490.00040.0910.43
      D. speciosa20.00080.000420.490.00040.0910.43
      Lamprosoma sp.20.00080.000420.490.00040.0910.43
      Eumolpus sp.20.00080.000420.490.00040.0910.43
      Epitragus sp.20.00080.000420.490.00040.0910.43
      Parasyphraea sp.10.00040.000410.530.00020.0910.23
      Wanderbiltiana sp.10.00040.000410.530.00020.0910.23
      Gryllidae10.00040.000410.530.00020.0910.23
      Cephalocoema sp.10.00040.000410.530.00020.0910.23
      A. reticulatum110.00000.000021.000.00000.0910.00
      Anastrepha sp.40.00000.000040.400.00000.0910.00
      B. hebe100.00000.000070.990.00000.0910.00
      Euxesta sp.30.00000.000030.440.00000.0910.00
      Fulgoridae190.00000.000051.000.00000.0910.00
      Nasutitermes sp.2800.00000.000051.000.00000.0910.00
      P. torridus10.00000.000010.530.00000.0910.00
      Pentatomidae60.00000.000060.320.00000.0910.00
      Phenacoccus sp.300.00000.000021.000.00000.0910.00
      Q. gigas20.00000.000020.490.00000.0910.00
      T. spinipes50.00000.000011.000.00000.0910.00
      I.I.-P.U. = ks × c × ds. ks = Da./total n of the L.S.. Da. = R2 × (1 − P) when it is of the first degree, or (R2 × (1 − P)) × (β21) when it is of the second degree, where R2 = determination coefficient and P = significance of ANOVA, β1 = regression coefficient, and β2 = regression coefficient (variable2), of the simple regression equation, or non-percentage of damage per L.S. c = Σ of occurrence of L.S. on each sample, 0 = absence or 1 = presence. ds = 1 − P of chi-square test of the L.S. Da. = 0 when Da. non-significant for damage or non-detected by L.S.

      Table 1. 

      Total number (n), damage (Da.), key-source (ks), constancy (c), distribution source (ds), number of importance indice (n. II), sum of n. I.I.-P.U.n. II), and percentage of II by loss source (LS) on 48 Sapindus saponaria (Sapindaceae) saplings.

    • Solution source
      SSnRLS.kscdsn. II.Σ n. II.% II.
      C. sanguinea30.12310.041020.990.080.0898.94
      P. termitarius1210.00530.0000201.000.000.081.06
      A. rogersi40.00000.000040.400.000.080.00
      A. uncifera30.00000.000030.440.000.080.00
      Araneidae310.00000.0000181.000.000.080.00
      Brachymyrmex sp.1840.00000.0000211.000.000.080.00
      Camponotus sp.1300.00000.0000261.000.000.080.00
      Chrysoperla sp.30.00000.000020.990.000.080.00
      Dolichopodidae90.00000.000061.000.000.080.00
      Ectatoma sp.200.00000.0000121.000.000.080.00
      Leucauge sp.130.00000.000041.000.000.080.00
      M. religiosa110.00000.000090.750.000.080.00
      O. salticus10.00000.000010.530.000.080.00
      Oxyopidae140.00000.0000120.500.000.080.00
      Pheidole sp.2720.00000.0000231.000.000.080.00
      Polybia sp.60.00000.000041.000.000.080.00
      Quemedice sp.30.00000.000030.440.000.080.00
      Salticidae130.00000.000091.000.000.080.00
      Syrphus sp.20.00000.000020.490.000.080.00
      T. angustula20.00000.000011.000.000.080.00
      Teudis sp.30.00000.000030.440.000.080.00
      Tmarus sp.20.00000.000020.490.000.080.00
      Uspachus sp.40.00000.000040.400.000.080.00
      I.I.-P.U. = ks × c × ds. ks = R.L.S./total n. of the SS.. R.L.S. = R2 × (1 − P) when it is of the first degree, or (R2 × (1 − P)) × (β21) when it is of the second degree, where R2 = determination coefficient and P = significance of ANOVA, β1 = regression coefficient, and β2 = regression coefficient (variable2), of the simple regression equation. c = Σ of occurrence of S.S. on each sample, 0 = absence or 1 = presence. ds = 1 − P of chi-square test of the SS. When a SS operates in more than one LS, that caused damage, its ks are summed. ES. = 0 when Da. by LS or ES non-significant for damage by LS or reduced LS by SS.

      Table 2. 

      Total number (n), reduction of LS (RLS), key-source (ks), constancy (c), distribution source (ds), number of importance indice (n. II), sum of n. I.I.-P.U.n. II), and percentage of II by solution source (SS) on 48 Sapindus saponaria (Sapindaceae) saplings.

    • LS.
      % RLSSS - abundance
      SS.Liriomyza sp. (mines)Bemisia sp.
      C. sanguinea/0.02
      Brachymyrmex sp./−1.18
      P. termitarius0.13/
      Σ0.13−1.16
      *T.Σ−1.03/
      % RLSSS - damage
      SS.Bemisia sp.
      Brachymyrmex sp.−61.95
      P. termitarius2.92
      Σ−59.03
      / = L.S. was not reduced per S.S. % R.L.S.S.S. = (R.L.S.S.S./total n of the L.S. – abundance or damage) × 100, where R.L.S.S.S. = R.L.S. × total n of the S.S. R.L.S. = R2 × (1 − P) when it is of the first degree, or (R2 × (1 − P)) × (β21) when it is of the second degree, where R2 = determination coefficient and P = significance of ANOVA, β1 = regression coefficient, and β2 = regression coefficient (variable2), of the simple regression equation.

      Table 3. 

      Percentage of reduction in abundance and/or damage (%R.) of loss source (LS) per solution source (SS), sum (Σ), and total of Σ of RLS (T.Σ) on 48 Sapindus saponaria (Sapindaceae) saplings.