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Analysis of Spatiotemporal Variation in Habitat Suitability for Oedaleus decorus asiaticus Bei-Bienko on the Mongolian Plateau Using Maxent and Multi-Source Remote Sensing Data

SIMPLE SUMMARY: Oedaleus decorus asiaticus Bei-Bienko is one of the most dangerous agricultural pests on the Mongolian Plateau. Due to its small size, it is difficult to monitor and control. Therefore, it is important to detect the key factors affecting the spatial distribution of grasshopper occurr...

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Autores principales: Wen, Fu, Lu, Longhui, Nie, Chaojia, Sun, Zhongxiang, Liu, Ronghao, Huang, Wenjiang, Ye, Huichun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299678/
https://www.ncbi.nlm.nih.gov/pubmed/37367308
http://dx.doi.org/10.3390/insects14060492
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author Wen, Fu
Lu, Longhui
Nie, Chaojia
Sun, Zhongxiang
Liu, Ronghao
Huang, Wenjiang
Ye, Huichun
author_facet Wen, Fu
Lu, Longhui
Nie, Chaojia
Sun, Zhongxiang
Liu, Ronghao
Huang, Wenjiang
Ye, Huichun
author_sort Wen, Fu
collection PubMed
description SIMPLE SUMMARY: Oedaleus decorus asiaticus Bei-Bienko is one of the most dangerous agricultural pests on the Mongolian Plateau. Due to its small size, it is difficult to monitor and control. Therefore, it is important to detect the key factors affecting the spatial distribution of grasshopper occurrence, to extract the suitable areas for grasshoppers, and to analyze the spatial and temporal evolution of the suitable areas for grasshoppers for monitoring and early warning of grasshoppers on the Mongolian plateau. Here the spatiotemporal variation in the habitat suitability for O. decorus asiaticus on the Mongolian Plateau was assessed using maximum entropy (Maxent) modeling along with multi-source remote sensing data and geospatial data. ABSTRACT: O. decorus asiaticus is a major grasshopper species that harms the development of agriculture on the Mongolian Plateau. Therefore, it is important to enhance the monitoring of O. decorus asiaticus. In this study, the spatiotemporal variation in the habitat suitability for O. decorus asiaticus on the Mongolian Plateau was assessed using maximum entropy (Maxent) modeling along with multi-source remote sensing data (meteorology, vegetation, soil, and topography). The predictions of the Maxent model were accurate (AUC = 0.910). The key environmental variables affecting the distribution of grasshoppers and their contribution were grass type (51.3%), accumulated precipitation (24.9%), altitude (13.0%), vegetation coverage (6.6%), and land surface temperature (4.2%). Based on the assessment results of suitability by Maxent model, the model threshold settings, and the formula for calculating the inhabitability index, the 2000s, 2010s, and 2020s inhabitable areas were calculated. The results show that the distribution of suitable habitat for O. decorus asiaticus in 2000 was similar to that in 2010. From 2010 to 2020, the suitability of the habitat for O. decorus asiaticus in the central region of the Mongolian Plateau changed from moderate to high. The main factor contributing to this change was accumulated precipitation. Few changes in the areas of the habitat with low suitability were observed across the study period. The results of this study enhance our understanding of the vulnerability of different regions on the Mongolian Plateau to plagues of O. decorus asiaticus and will aid the monitoring of grasshopper plagues in this region.
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spelling pubmed-102996782023-06-28 Analysis of Spatiotemporal Variation in Habitat Suitability for Oedaleus decorus asiaticus Bei-Bienko on the Mongolian Plateau Using Maxent and Multi-Source Remote Sensing Data Wen, Fu Lu, Longhui Nie, Chaojia Sun, Zhongxiang Liu, Ronghao Huang, Wenjiang Ye, Huichun Insects Article SIMPLE SUMMARY: Oedaleus decorus asiaticus Bei-Bienko is one of the most dangerous agricultural pests on the Mongolian Plateau. Due to its small size, it is difficult to monitor and control. Therefore, it is important to detect the key factors affecting the spatial distribution of grasshopper occurrence, to extract the suitable areas for grasshoppers, and to analyze the spatial and temporal evolution of the suitable areas for grasshoppers for monitoring and early warning of grasshoppers on the Mongolian plateau. Here the spatiotemporal variation in the habitat suitability for O. decorus asiaticus on the Mongolian Plateau was assessed using maximum entropy (Maxent) modeling along with multi-source remote sensing data and geospatial data. ABSTRACT: O. decorus asiaticus is a major grasshopper species that harms the development of agriculture on the Mongolian Plateau. Therefore, it is important to enhance the monitoring of O. decorus asiaticus. In this study, the spatiotemporal variation in the habitat suitability for O. decorus asiaticus on the Mongolian Plateau was assessed using maximum entropy (Maxent) modeling along with multi-source remote sensing data (meteorology, vegetation, soil, and topography). The predictions of the Maxent model were accurate (AUC = 0.910). The key environmental variables affecting the distribution of grasshoppers and their contribution were grass type (51.3%), accumulated precipitation (24.9%), altitude (13.0%), vegetation coverage (6.6%), and land surface temperature (4.2%). Based on the assessment results of suitability by Maxent model, the model threshold settings, and the formula for calculating the inhabitability index, the 2000s, 2010s, and 2020s inhabitable areas were calculated. The results show that the distribution of suitable habitat for O. decorus asiaticus in 2000 was similar to that in 2010. From 2010 to 2020, the suitability of the habitat for O. decorus asiaticus in the central region of the Mongolian Plateau changed from moderate to high. The main factor contributing to this change was accumulated precipitation. Few changes in the areas of the habitat with low suitability were observed across the study period. The results of this study enhance our understanding of the vulnerability of different regions on the Mongolian Plateau to plagues of O. decorus asiaticus and will aid the monitoring of grasshopper plagues in this region. MDPI 2023-05-24 /pmc/articles/PMC10299678/ /pubmed/37367308 http://dx.doi.org/10.3390/insects14060492 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
Wen, Fu
Lu, Longhui
Nie, Chaojia
Sun, Zhongxiang
Liu, Ronghao
Huang, Wenjiang
Ye, Huichun
Analysis of Spatiotemporal Variation in Habitat Suitability for Oedaleus decorus asiaticus Bei-Bienko on the Mongolian Plateau Using Maxent and Multi-Source Remote Sensing Data
title Analysis of Spatiotemporal Variation in Habitat Suitability for Oedaleus decorus asiaticus Bei-Bienko on the Mongolian Plateau Using Maxent and Multi-Source Remote Sensing Data
title_full Analysis of Spatiotemporal Variation in Habitat Suitability for Oedaleus decorus asiaticus Bei-Bienko on the Mongolian Plateau Using Maxent and Multi-Source Remote Sensing Data
title_fullStr Analysis of Spatiotemporal Variation in Habitat Suitability for Oedaleus decorus asiaticus Bei-Bienko on the Mongolian Plateau Using Maxent and Multi-Source Remote Sensing Data
title_full_unstemmed Analysis of Spatiotemporal Variation in Habitat Suitability for Oedaleus decorus asiaticus Bei-Bienko on the Mongolian Plateau Using Maxent and Multi-Source Remote Sensing Data
title_short Analysis of Spatiotemporal Variation in Habitat Suitability for Oedaleus decorus asiaticus Bei-Bienko on the Mongolian Plateau Using Maxent and Multi-Source Remote Sensing Data
title_sort analysis of spatiotemporal variation in habitat suitability for oedaleus decorus asiaticus bei-bienko on the mongolian plateau using maxent and multi-source remote sensing data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299678/
https://www.ncbi.nlm.nih.gov/pubmed/37367308
http://dx.doi.org/10.3390/insects14060492
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