Cargando…

Geostatistical Analysis of the Spatial Variation of Chrysolina aeruginosa Larvae at Different Stages in Desert Ecosystems

SIMPLE SUMMARY: The spatial distribution of pests is a prominent topic of research in population ecology. Knowledge of pest distribution patterns (including the specific plant segments that are most heavily infested) is of utmost significance in devising appropriate monitoring programs that will eff...

Descripción completa

Detalles Bibliográficos
Autores principales: He, Zeshuai, Chen, Liangyue, Yang, Ying, Zhao, Fuqiang, Zhou, Chunmei, Zhang, Dazhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145244/
https://www.ncbi.nlm.nih.gov/pubmed/37103194
http://dx.doi.org/10.3390/insects14040379
_version_ 1785034286629388288
author He, Zeshuai
Chen, Liangyue
Yang, Ying
Zhao, Fuqiang
Zhou, Chunmei
Zhang, Dazhi
author_facet He, Zeshuai
Chen, Liangyue
Yang, Ying
Zhao, Fuqiang
Zhou, Chunmei
Zhang, Dazhi
author_sort He, Zeshuai
collection PubMed
description SIMPLE SUMMARY: The spatial distribution of pests is a prominent topic of research in population ecology. Knowledge of pest distribution patterns (including the specific plant segments that are most heavily infested) is of utmost significance in devising appropriate monitoring programs that will effectively reduce the utilization of pesticides. Geostatistical analysis, which reveals spatial correlations and dependencies, is vital in achieving an accurate comprehension of the disparities in pest spatial distribution. In this study, we utilized geostatistical methods to identify the spatial distribution of Chrysolina aeruginosa, a commonly occurring pest that attacks Artemisia ordosica in desert ecosystems of Ningxia, at various developmental stages. Our results indicated differences in the vertical distribution of larvae at distinct stages of growth. The number of larvae varies in relation to the height of the plants, and various morphological characteristics such as crown width and ground diameter. Furthermore, the larvae exhibit an inclination to aggregate. ABSTRACT: Chrysolina aeruginosa is a major pest of Artemisia ordosica, and knowledge of the spatial distribution pattern of its larvae in their natural habitat is crucial for the implementation of effective control measures. This study employed geostatistical methods to investigate the damage caused by larvae of different age groups and their spatial distribution pattern. The distribution of C. aeruginosa larvae, which cause damage to A. ordosica, differed significantly according to their age. Younger larvae were predominantly found in the middle and upper parts of the plant, whereas older larvae were mainly distributed in the middle and lower parts, with significant differences in distribution location. A generalized linear model analysis revealed that the height of the plant, and plant morphological characteristics such as height, crown width, and ground diameter were significantly correlated with the number of larvae present. Furthermore, the interaction of age with other variables had an impact on the number of larvae. Kriging interpolation showed that C. aeruginosa larvae were distributed in aggregated patches with strong spatial heterogeneity. The younger larvae were more abundant in the center of the sample site, while the older larvae tended to be distributed toward the edges. These findings provide valuable information for designing effective control programs.
format Online
Article
Text
id pubmed-10145244
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-101452442023-04-29 Geostatistical Analysis of the Spatial Variation of Chrysolina aeruginosa Larvae at Different Stages in Desert Ecosystems He, Zeshuai Chen, Liangyue Yang, Ying Zhao, Fuqiang Zhou, Chunmei Zhang, Dazhi Insects Article SIMPLE SUMMARY: The spatial distribution of pests is a prominent topic of research in population ecology. Knowledge of pest distribution patterns (including the specific plant segments that are most heavily infested) is of utmost significance in devising appropriate monitoring programs that will effectively reduce the utilization of pesticides. Geostatistical analysis, which reveals spatial correlations and dependencies, is vital in achieving an accurate comprehension of the disparities in pest spatial distribution. In this study, we utilized geostatistical methods to identify the spatial distribution of Chrysolina aeruginosa, a commonly occurring pest that attacks Artemisia ordosica in desert ecosystems of Ningxia, at various developmental stages. Our results indicated differences in the vertical distribution of larvae at distinct stages of growth. The number of larvae varies in relation to the height of the plants, and various morphological characteristics such as crown width and ground diameter. Furthermore, the larvae exhibit an inclination to aggregate. ABSTRACT: Chrysolina aeruginosa is a major pest of Artemisia ordosica, and knowledge of the spatial distribution pattern of its larvae in their natural habitat is crucial for the implementation of effective control measures. This study employed geostatistical methods to investigate the damage caused by larvae of different age groups and their spatial distribution pattern. The distribution of C. aeruginosa larvae, which cause damage to A. ordosica, differed significantly according to their age. Younger larvae were predominantly found in the middle and upper parts of the plant, whereas older larvae were mainly distributed in the middle and lower parts, with significant differences in distribution location. A generalized linear model analysis revealed that the height of the plant, and plant morphological characteristics such as height, crown width, and ground diameter were significantly correlated with the number of larvae present. Furthermore, the interaction of age with other variables had an impact on the number of larvae. Kriging interpolation showed that C. aeruginosa larvae were distributed in aggregated patches with strong spatial heterogeneity. The younger larvae were more abundant in the center of the sample site, while the older larvae tended to be distributed toward the edges. These findings provide valuable information for designing effective control programs. MDPI 2023-04-12 /pmc/articles/PMC10145244/ /pubmed/37103194 http://dx.doi.org/10.3390/insects14040379 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
He, Zeshuai
Chen, Liangyue
Yang, Ying
Zhao, Fuqiang
Zhou, Chunmei
Zhang, Dazhi
Geostatistical Analysis of the Spatial Variation of Chrysolina aeruginosa Larvae at Different Stages in Desert Ecosystems
title Geostatistical Analysis of the Spatial Variation of Chrysolina aeruginosa Larvae at Different Stages in Desert Ecosystems
title_full Geostatistical Analysis of the Spatial Variation of Chrysolina aeruginosa Larvae at Different Stages in Desert Ecosystems
title_fullStr Geostatistical Analysis of the Spatial Variation of Chrysolina aeruginosa Larvae at Different Stages in Desert Ecosystems
title_full_unstemmed Geostatistical Analysis of the Spatial Variation of Chrysolina aeruginosa Larvae at Different Stages in Desert Ecosystems
title_short Geostatistical Analysis of the Spatial Variation of Chrysolina aeruginosa Larvae at Different Stages in Desert Ecosystems
title_sort geostatistical analysis of the spatial variation of chrysolina aeruginosa larvae at different stages in desert ecosystems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145244/
https://www.ncbi.nlm.nih.gov/pubmed/37103194
http://dx.doi.org/10.3390/insects14040379
work_keys_str_mv AT hezeshuai geostatisticalanalysisofthespatialvariationofchrysolinaaeruginosalarvaeatdifferentstagesindesertecosystems
AT chenliangyue geostatisticalanalysisofthespatialvariationofchrysolinaaeruginosalarvaeatdifferentstagesindesertecosystems
AT yangying geostatisticalanalysisofthespatialvariationofchrysolinaaeruginosalarvaeatdifferentstagesindesertecosystems
AT zhaofuqiang geostatisticalanalysisofthespatialvariationofchrysolinaaeruginosalarvaeatdifferentstagesindesertecosystems
AT zhouchunmei geostatisticalanalysisofthespatialvariationofchrysolinaaeruginosalarvaeatdifferentstagesindesertecosystems
AT zhangdazhi geostatisticalanalysisofthespatialvariationofchrysolinaaeruginosalarvaeatdifferentstagesindesertecosystems