Density-invariant dispersion indices and fixed precision sequential sampling plans for the peach twig borer Anarsia lineatella (Lepidoptera: Gelechiidae)

Estimating the spatial dispersion of pest arthropods is crucial for the development of reliable sampling programs and one of the main components of integrated pest management. The natural spatial distribution of a population of a species may be random, uniform, or aggregated and can be so classified...

Full description

Bibliographic Details
Main Author: Petros DAMOS
Format: Article
Language:English
Published: Institute of Entomology, Biology Centre, Czech Academy of Science 2018-11-01
Series:European Journal of Entomology
Subjects:
Online Access:https://www.eje.cz/artkey/eje-201801-0063_Density-invariant_dispersion_indices_and_fixed_precision_sequential_sampling_plans_for_the_peach_twig_borer_Ana.php
id doaj-78ec2946b9904858b917d6f22dbe77bd
record_format Article
spelling doaj-78ec2946b9904858b917d6f22dbe77bd2021-04-16T20:35:59ZengInstitute of Entomology, Biology Centre, Czech Academy of ScienceEuropean Journal of Entomology1210-57591802-88292018-11-01115164264910.14411/eje.2018.063eje-201801-0063Density-invariant dispersion indices and fixed precision sequential sampling plans for the peach twig borer Anarsia lineatella (Lepidoptera: Gelechiidae)Petros DAMOS0Pharmacy Department, University General Infectious Diseases Hospital of Thessaloniki AHEPA, Thessaloniki, Greece; e-mail: petrosdamos@gmail.comEstimating the spatial dispersion of pest arthropods is crucial for the development of reliable sampling programs and one of the main components of integrated pest management. The natural spatial distribution of a population of a species may be random, uniform, or aggregated and can be so classified based on calculation of variance to mean relations and related dispersion indices. In this work some classical density-invariant dispersion indices and related regression models are used for the first time to quantify the spatial dispersion of an important peach pest Anarsia lineatella Zeller (Lepidoptera: Gelechiidae) and construct fixed precision sequential sampling schemes. Taylor's power law, Iwao's patchiness regression and Nachman's model were used to analyse the damage to peaches caused by A. lineatella. All three regression models fit the data well, although the results indicate that Iwao's patchiness model provides a better description of the relationship between variance and mean density. Taylor's b and Iwao's b regression indices were both significantly smaller than 1, indicating that the distribution of individuals was uniform rather than random or aggregated. According to Green's and Kuno's models, the minimum sample size at the precision level of 0.2 varies from 3 samples, when total population density is more than 3 larvae/sample, to 10 samples, when population density is between 1 and 2 larvae/sample. Kuno's fixed sampling plan indicates that a small number of samples (i.e., 3-10 branches with fruit) is sufficient to estimate the mean population density of A. lineatella larvae with a precision of 0.2. The Resampling for validation of sampling plans (RVSP) method confirmed that the average level of precision of the fixed sequential plans matched the desired precision in most cases. The sampling plan presented here provides a level understanding of A. lineatella spatial ecology suitable for pest management decisions.https://www.eje.cz/artkey/eje-201801-0063_Density-invariant_dispersion_indices_and_fixed_precision_sequential_sampling_plans_for_the_peach_twig_borer_Ana.phplepidopteragelechiidaeanarsia lineatellasamplingspatial dispersionintegrated pest managementmothpeach production
collection DOAJ
language English
format Article
sources DOAJ
author Petros DAMOS
spellingShingle Petros DAMOS
Density-invariant dispersion indices and fixed precision sequential sampling plans for the peach twig borer Anarsia lineatella (Lepidoptera: Gelechiidae)
European Journal of Entomology
lepidoptera
gelechiidae
anarsia lineatella
sampling
spatial dispersion
integrated pest management
moth
peach production
author_facet Petros DAMOS
author_sort Petros DAMOS
title Density-invariant dispersion indices and fixed precision sequential sampling plans for the peach twig borer Anarsia lineatella (Lepidoptera: Gelechiidae)
title_short Density-invariant dispersion indices and fixed precision sequential sampling plans for the peach twig borer Anarsia lineatella (Lepidoptera: Gelechiidae)
title_full Density-invariant dispersion indices and fixed precision sequential sampling plans for the peach twig borer Anarsia lineatella (Lepidoptera: Gelechiidae)
title_fullStr Density-invariant dispersion indices and fixed precision sequential sampling plans for the peach twig borer Anarsia lineatella (Lepidoptera: Gelechiidae)
title_full_unstemmed Density-invariant dispersion indices and fixed precision sequential sampling plans for the peach twig borer Anarsia lineatella (Lepidoptera: Gelechiidae)
title_sort density-invariant dispersion indices and fixed precision sequential sampling plans for the peach twig borer anarsia lineatella (lepidoptera: gelechiidae)
publisher Institute of Entomology, Biology Centre, Czech Academy of Science
series European Journal of Entomology
issn 1210-5759
1802-8829
publishDate 2018-11-01
description Estimating the spatial dispersion of pest arthropods is crucial for the development of reliable sampling programs and one of the main components of integrated pest management. The natural spatial distribution of a population of a species may be random, uniform, or aggregated and can be so classified based on calculation of variance to mean relations and related dispersion indices. In this work some classical density-invariant dispersion indices and related regression models are used for the first time to quantify the spatial dispersion of an important peach pest Anarsia lineatella Zeller (Lepidoptera: Gelechiidae) and construct fixed precision sequential sampling schemes. Taylor's power law, Iwao's patchiness regression and Nachman's model were used to analyse the damage to peaches caused by A. lineatella. All three regression models fit the data well, although the results indicate that Iwao's patchiness model provides a better description of the relationship between variance and mean density. Taylor's b and Iwao's b regression indices were both significantly smaller than 1, indicating that the distribution of individuals was uniform rather than random or aggregated. According to Green's and Kuno's models, the minimum sample size at the precision level of 0.2 varies from 3 samples, when total population density is more than 3 larvae/sample, to 10 samples, when population density is between 1 and 2 larvae/sample. Kuno's fixed sampling plan indicates that a small number of samples (i.e., 3-10 branches with fruit) is sufficient to estimate the mean population density of A. lineatella larvae with a precision of 0.2. The Resampling for validation of sampling plans (RVSP) method confirmed that the average level of precision of the fixed sequential plans matched the desired precision in most cases. The sampling plan presented here provides a level understanding of A. lineatella spatial ecology suitable for pest management decisions.
topic lepidoptera
gelechiidae
anarsia lineatella
sampling
spatial dispersion
integrated pest management
moth
peach production
url https://www.eje.cz/artkey/eje-201801-0063_Density-invariant_dispersion_indices_and_fixed_precision_sequential_sampling_plans_for_the_peach_twig_borer_Ana.php
work_keys_str_mv AT petrosdamos densityinvariantdispersionindicesandfixedprecisionsequentialsamplingplansforthepeachtwigboreranarsialineatellalepidopteragelechiidae
_version_ 1721524460957204480