英文摘要 |
"Dispersion patterns of varied stages generated by Iwao's patchiness regression and Taylor's power law for Aulacaspis yabunikkei Kuwana in different sampling units of camphor trees, Cinnamomum camphora(L.), were compared. Taylor's power law provided a consistently good fit to the data, whereas the fit of Iwao's patchiness regression were erratic, and the values of aggregation index of Taylor's power law(1.76 to 2.65)were narrower than those of Iwao's(1.26 to 11.83), but both indices(b>1.7 andβ>1.2)indicate a clumped distribution pattern in all sampling units. Mean numbers of scales per leaf differed significantly(P<0.05)between the lower and upper layer of the canopy, between old and young leaves, and between the underside and upper surface of leaves. The number of eggs corresponded the most closely to the total population, and this stage is best for precisely estimating the population. However, for the non-professional, the eggs are difficult to count. The number of female adult scale covers were easy to count and also corresponded very closely to the total population. Thus, female adult scale covers on the under leaf surfaces of old leaves were chosen as sampling targets to represent the scale population and for the decision making of pest management. Scales only with high density would damage camphor tree heavily, therefore, in fixed sampling plan, when there were 100 female scales on underside of leaf per twig in a tree, the optimum samples of 12 twigs per tree and 3 twigs per tree would reach 0.25 and 0.5 precision levels, respectively." |