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Loss source LS n Da. ks c ds n. II. Σ n. II. % II. Liriomyza sp. (mines) 478 0.8600 0.0018 27 1.00 0.0486 0.091 53.49 Bemisia sp. 2333 0.8800 0.0004 32 1.00 0.0121 0.091 13.29 Phaneropterinae 51 0.0206 0.0004 27 0.93 0.0102 0.091 11.21 Tetranychus sp. 709 0.9600 0.0014 6 1.00 0.0081 0.091 8.95 T. collaris 17 0.0069 0.0004 14 0.74 0.0042 0.091 4.61 S. anchoralis 5 0.0020 0.0004 3 1.00 0.0012 0.091 1.33 Charidotis sp. 4 0.0016 0.0004 2 1.00 0.0008 0.091 0.89 Alagoasa sp. 5 0.0020 0.0004 5 0.36 0.0007 0.091 0.80 Cerotoma sp. 4 0.0016 0.0004 4 0.40 0.0006 0.091 0.71 Curculionidae 3 0.0012 0.0004 3 0.44 0.0005 0.091 0.59 Lordops sp. 3 0.0012 0.0004 3 0.44 0.0005 0.091 0.59 Walterianela sp. 2 0.0008 0.0004 1 1.00 0.0004 0.091 0.44 Lepidoptera 2 0.0008 0.0004 2 0.49 0.0004 0.091 0.43 D. speciosa 2 0.0008 0.0004 2 0.49 0.0004 0.091 0.43 Lamprosoma sp. 2 0.0008 0.0004 2 0.49 0.0004 0.091 0.43 Eumolpus sp. 2 0.0008 0.0004 2 0.49 0.0004 0.091 0.43 Epitragus sp. 2 0.0008 0.0004 2 0.49 0.0004 0.091 0.43 Parasyphraea sp. 1 0.0004 0.0004 1 0.53 0.0002 0.091 0.23 Wanderbiltiana sp. 1 0.0004 0.0004 1 0.53 0.0002 0.091 0.23 Gryllidae 1 0.0004 0.0004 1 0.53 0.0002 0.091 0.23 Cephalocoema sp. 1 0.0004 0.0004 1 0.53 0.0002 0.091 0.23 A. reticulatum 11 0.0000 0.0000 2 1.00 0.0000 0.091 0.00 Anastrepha sp. 4 0.0000 0.0000 4 0.40 0.0000 0.091 0.00 B. hebe 10 0.0000 0.0000 7 0.99 0.0000 0.091 0.00 Euxesta sp. 3 0.0000 0.0000 3 0.44 0.0000 0.091 0.00 Fulgoridae 19 0.0000 0.0000 5 1.00 0.0000 0.091 0.00 Nasutitermes sp. 280 0.0000 0.0000 5 1.00 0.0000 0.091 0.00 P. torridus 1 0.0000 0.0000 1 0.53 0.0000 0.091 0.00 Pentatomidae 6 0.0000 0.0000 6 0.32 0.0000 0.091 0.00 Phenacoccus sp. 30 0.0000 0.0000 2 1.00 0.0000 0.091 0.00 Q. gigas 2 0.0000 0.0000 2 0.49 0.0000 0.091 0.00 T. spinipes 5 0.0000 0.0000 1 1.00 0.0000 0.091 0.00 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)) × (β2/β1) 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. (Σ n. II), and percentage of II by loss source (LS) on 48 Sapindus saponaria (Sapindaceae) saplings.
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Solution source SS n RLS. ks c ds n. II. Σ n. II. % II. C. sanguinea 3 0.1231 0.0410 2 0.99 0.08 0.08 98.94 P. termitarius 121 0.0053 0.0000 20 1.00 0.00 0.08 1.06 A. rogersi 4 0.0000 0.0000 4 0.40 0.00 0.08 0.00 A. uncifera 3 0.0000 0.0000 3 0.44 0.00 0.08 0.00 Araneidae 31 0.0000 0.0000 18 1.00 0.00 0.08 0.00 Brachymyrmex sp. 184 0.0000 0.0000 21 1.00 0.00 0.08 0.00 Camponotus sp. 130 0.0000 0.0000 26 1.00 0.00 0.08 0.00 Chrysoperla sp. 3 0.0000 0.0000 2 0.99 0.00 0.08 0.00 Dolichopodidae 9 0.0000 0.0000 6 1.00 0.00 0.08 0.00 Ectatoma sp. 20 0.0000 0.0000 12 1.00 0.00 0.08 0.00 Leucauge sp. 13 0.0000 0.0000 4 1.00 0.00 0.08 0.00 M. religiosa 11 0.0000 0.0000 9 0.75 0.00 0.08 0.00 O. salticus 1 0.0000 0.0000 1 0.53 0.00 0.08 0.00 Oxyopidae 14 0.0000 0.0000 12 0.50 0.00 0.08 0.00 Pheidole sp. 272 0.0000 0.0000 23 1.00 0.00 0.08 0.00 Polybia sp. 6 0.0000 0.0000 4 1.00 0.00 0.08 0.00 Quemedice sp. 3 0.0000 0.0000 3 0.44 0.00 0.08 0.00 Salticidae 13 0.0000 0.0000 9 1.00 0.00 0.08 0.00 Syrphus sp. 2 0.0000 0.0000 2 0.49 0.00 0.08 0.00 T. angustula 2 0.0000 0.0000 1 1.00 0.00 0.08 0.00 Teudis sp. 3 0.0000 0.0000 3 0.44 0.00 0.08 0.00 Tmarus sp. 2 0.0000 0.0000 2 0.49 0.00 0.08 0.00 Uspachus sp. 4 0.0000 0.0000 4 0.40 0.00 0.08 0.00 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)) × (β2/β1) 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. (Σ n. II), and percentage of II by solution source (SS) on 48 Sapindus saponaria (Sapindaceae) saplings.
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LS. % RLSSS - abundance SS. Liriomyza sp. (mines) Bemisia sp. C. sanguinea / 0.02 Brachymyrmex sp. / −1.18 P. termitarius 0.13 / Σ 0.13 −1.16 *T.Σ −1.03 / % RLSSS - damage SS. Bemisia sp. Brachymyrmex sp. −61.95 P. termitarius 2.92 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)) × (β2/β1) 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.
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