Development of an optimum sampling plan for the population of <i>Aphis gossypii</i> (Hom., Aphididae) on cotton in Greece

Kapatos, E. T.; Stratopoulou, E. T.; Sahinoglou, A.; Tsitsipis, J. A.; Lycouresis, D.P.

doi:10.1111/j.1439-0418.1996.tb01599.x

Cited by 14 publications

(24 citation statements)

References 8 publications

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“…Although several models based on the relation between the variance and the mean have been proposed (Karandinos, 1976;Southwood, 1978;Davis, 1994), Taylor's Power Law almost always provides the best fit to the data, confirming its characterization of "Universal Law" (Davis, 1994;Subramanyam & Hagstrum, 1995;Kapatos et al, 1996). In our study, Taylor's slope (b) values were indicative of an aggregated distribution among sampling units, for both species examined.…”

Section: Discussionsupporting

confidence: 75%

“…High sample-to-sample variation may also lead to an exponential increase in the sample size required for sufficient precision (Cho et al, 1995;Kapatos et al, 1996;Deligeorgidis et al, 2002). Based on our results, the specific sample size that we used (20 leaves) was rather small to estimate the mean under a very sensitive precision level (D = 10%), especially at low population densities.…”

Section: Discussionmentioning

confidence: 89%

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Development of a sampling plan for Myzus persicae (Hemiptera: Aphidoidea) and its predator Macrolophus costalis (Hemiptera: Miridae) on tobacco

Athanassiou¹,

Kavallieratos²,

Tomanović³

et al. 2005

Eur. J. Entomol.

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Abstract.A tobacco field in Greece was sampled during the 2001 and 2002 growing seasons to assess the seasonal trends in densities and spatial distributions of the aphid Myzus persicae (Sulzer) and its predatory mirid Macrolophus costalis (Fieber). On repeated occasions between June (just after the transplantation) and September (just before harvest), 20 tobacco leaves (10 from the upper and 10 from the lower plant part) were taken from randomly chosen plants. These leaves were sampled for aphids and mirids. In both years, the highest aphid densities were recorded during July and August, while aphid numbers were low in September. In contrast, the majority of M. costalis individuals were found during September when aphid numbers were low. Significantly more M. persicae individuals were found in the upper part of the plants, whereas significantly more M. costalis individuals were found in the lower part of the plants. As indicated by Taylor's Power Law estimates, both species were aggregated in their spatial distributions among sampling units (leaves). Wilson and Room's model, based on the Taylor's estimates, was used to calculate the mean number of aphids and mirids, from the proportion of sampling units (leaves) that had > 0 individuals of each species. This model provided a satisfactory fit of the data for both the aphid and the mirid. In addition, Wilson and Room's model was successfully used to predict the mean number of aphids and mirids in a series of samples that were carried out in the same area between June and September 2003 for model validation. Finally, equations are given for the calculation of precision in estimating the mean number of aphids or mirids per sampling unit, and the required sample size for a given level of precision.

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Section: Discussionsupporting

confidence: 75%

Section: Discussionmentioning

confidence: 89%

Development of a sampling plan for Myzus persicae (Hemiptera: Aphidoidea) and its predator Macrolophus costalis (Hemiptera: Miridae) on tobacco

Athanassiou¹,

Kavallieratos²,

Tomanović³

et al. 2005

Eur. J. Entomol.

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“…Aggregated distributions of insects are extremely common in field studies (Dean and Luuring 1970;Kapatos et al 1996;Winder et al 1999;Deligeorgidis et al 2002;Tomanović et al 2008;Reay-Jones 2010a, 2010b. According to Taylor's law, all of the most abundant Orthoptera species found in the lowland station followed an aggregated spatial distribution.…”

Section: Discussionmentioning

confidence: 99%

Seasonal population fluctuation and spatial distribution of Orthoptera in two grassland areas of Attica – Greece

Antonatos

Εμμανουήλ

Fantinou

et al. 2014

Journal of Natural History

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The aim of this study was to investigate the seasonal population fluctuation of orthopteran assemblages and determine the spatial distribution of the most abundant species of Orthoptera among two habitats in Greece. A 2-year study was performed in a lowland area and in a mountain grassland area. The family of Acrididae represented almost 75% of the total orthopteran relative abundance in both sampling areas. Dociostaurus maroccanus and Chorthippus bornhalmi were found to be the most abundant species in the lowland and the mountain sampling stations, respectively. Most populated species were spatially aggregated in the lowland station, whereas the abundant species were found to be distributed either aggregately or randomly among sampling units in the mountain area. ShannonWiener index estimate was higher for the lowland in 2007 than for the mountain, whereas the opposite was found in 2008. The factors affecting the population dynamics of Orthoptera are discussed.

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“…They were also used together with other data (optimum size of the sampling unit, number of samples, type of sampling, etc.) to develop an efficient sampling program for the population of A. gossypii (Kapatos et al, 1996).…”

Section: Discussionmentioning

confidence: 99%

“…112 plants in total were sampled system atically (eight rows, one every fifth row with 14 plants per row, one plant every four meters). Each plant was divided in two sections, upper and lower, according to previous information about the distri bution of aphids within the plant (Kapatos et al, 1996). From each section 5 leaves were taken randomly (112x5x2= 1,120 leaves).…”

Section: Methodsmentioning

confidence: 99%

The Spatial Pattern of Aphis gossypii οn Cotton

Kapatos

Stratopoulou

Tsitsipis³

et al. 2017

Self Cite

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The spatial distribution of Aphis gossypii (Glover) on cotton was studied by using Taylor's power law, the negative binomial parameter k and the i^-index of aggregation. Both k and i^, were related to density with curvilinear relationships and indicated that aggregation decreases as density increases up to densities of, approximately, two individuals per leaf. At the very high densities (more than three individuals per leaf) the calculated values of the two indices recognized a tendency for an increased aggregation again. A strong linear relationship between the log mean and the log variance of the population density was obtained confirming the wide applicability of Taylor's power law. However, the established relationship (b=1.433) assumes, for the range of the observed densities, a continuous decrease in the degree of aggregation as density increases. It is suggested that the changes in the degree of aggregation throughout the season and in relation to density are related to natural mortality.

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Development of an optimum sampling plan for the population of Aphis gossypii (Hom., Aphididae) on cotton in Greece

Cited by 14 publications

References 8 publications

Development of a sampling plan for Myzus persicae (Hemiptera: Aphidoidea) and its predator Macrolophus costalis (Hemiptera: Miridae) on tobacco

Development of a sampling plan for Myzus persicae (Hemiptera: Aphidoidea) and its predator Macrolophus costalis (Hemiptera: Miridae) on tobacco

Seasonal population fluctuation and spatial distribution of Orthoptera in two grassland areas of Attica – Greece

The Spatial Pattern of Aphis gossypii οn Cotton

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