Potentially Suitable Geographical Area for Monochamus alternatus under Current and Future Climatic Scenarios Based on Optimized MaxEnt Model

M. alternatus is considered to be an important and effective insect vector for the spread of the important international forest quarantine pest, Bursaphelenchus xylophilus . The precise determination of potential suitable areas of M. alternatus is essential to monitor, prevent, and control M. altern...

Full description

Bibliographic Details
Published in:Insects
Main Authors: Ruihe Gao, Lei Liu, Lijuan Zhao, Shaopeng Cui
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2023
Subjects:
Q
Online Access:https://doi.org/10.3390/insects14020182
https://doaj.org/article/dec0ef2d055a4f4d9188014314347046
id ftdoajarticles:oai:doaj.org/article:dec0ef2d055a4f4d9188014314347046
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:dec0ef2d055a4f4d9188014314347046 2023-06-11T04:07:01+02:00 Potentially Suitable Geographical Area for Monochamus alternatus under Current and Future Climatic Scenarios Based on Optimized MaxEnt Model Ruihe Gao Lei Liu Lijuan Zhao Shaopeng Cui 2023-02-01T00:00:00Z https://doi.org/10.3390/insects14020182 https://doaj.org/article/dec0ef2d055a4f4d9188014314347046 EN eng MDPI AG https://www.mdpi.com/2075-4450/14/2/182 https://doaj.org/toc/2075-4450 doi:10.3390/insects14020182 2075-4450 https://doaj.org/article/dec0ef2d055a4f4d9188014314347046 Insects, Vol 14, Iss 182, p 182 (2023) Monochamus alternatus Bursaphelenchus xylophilus MaxEnt climate change Science Q article 2023 ftdoajarticles https://doi.org/10.3390/insects14020182 2023-05-07T00:32:48Z M. alternatus is considered to be an important and effective insect vector for the spread of the important international forest quarantine pest, Bursaphelenchus xylophilus . The precise determination of potential suitable areas of M. alternatus is essential to monitor, prevent, and control M. alternatus worldwide. According to the distribution points and climatic variables, the optimized MaxEnt model and ArcGIS were used to predict the current and future potentially suitable areas of M. alternatus worldwide. The optimized MaxEnt model parameters were set as feature combination (FC) = LQHP and β = 1.5, which were determined by the values of AUC diff , OR 10 , and ΔAICc. Bio2, Bio6, Bio10, Bio12, and Bio14 were the dominant bioclimatic variables affecting the distribution of M. alternatus . Under the current climate conditions, the potentially suitable habitats of M. alternatus were distributed across all continents except Antarctica, accounting for 4.17% of the Earth’s total land area. Under future climate scenarios, the potentially suitable habitats of M. alternatus increased significantly, spreading to a global scale. The results of this study could provide a theoretical basis for the risk analysis of the global distribution and dispersal of M. alternatus as well as the precise monitoring and prevention of this beetle. Article in Journal/Newspaper Antarc* Antarctica Directory of Open Access Journals: DOAJ Articles Insects 14 2 182
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Monochamus alternatus
Bursaphelenchus xylophilus
MaxEnt
climate change
Science
Q
spellingShingle Monochamus alternatus
Bursaphelenchus xylophilus
MaxEnt
climate change
Science
Q
Ruihe Gao
Lei Liu
Lijuan Zhao
Shaopeng Cui
Potentially Suitable Geographical Area for Monochamus alternatus under Current and Future Climatic Scenarios Based on Optimized MaxEnt Model
topic_facet Monochamus alternatus
Bursaphelenchus xylophilus
MaxEnt
climate change
Science
Q
description M. alternatus is considered to be an important and effective insect vector for the spread of the important international forest quarantine pest, Bursaphelenchus xylophilus . The precise determination of potential suitable areas of M. alternatus is essential to monitor, prevent, and control M. alternatus worldwide. According to the distribution points and climatic variables, the optimized MaxEnt model and ArcGIS were used to predict the current and future potentially suitable areas of M. alternatus worldwide. The optimized MaxEnt model parameters were set as feature combination (FC) = LQHP and β = 1.5, which were determined by the values of AUC diff , OR 10 , and ΔAICc. Bio2, Bio6, Bio10, Bio12, and Bio14 were the dominant bioclimatic variables affecting the distribution of M. alternatus . Under the current climate conditions, the potentially suitable habitats of M. alternatus were distributed across all continents except Antarctica, accounting for 4.17% of the Earth’s total land area. Under future climate scenarios, the potentially suitable habitats of M. alternatus increased significantly, spreading to a global scale. The results of this study could provide a theoretical basis for the risk analysis of the global distribution and dispersal of M. alternatus as well as the precise monitoring and prevention of this beetle.
format Article in Journal/Newspaper
author Ruihe Gao
Lei Liu
Lijuan Zhao
Shaopeng Cui
author_facet Ruihe Gao
Lei Liu
Lijuan Zhao
Shaopeng Cui
author_sort Ruihe Gao
title Potentially Suitable Geographical Area for Monochamus alternatus under Current and Future Climatic Scenarios Based on Optimized MaxEnt Model
title_short Potentially Suitable Geographical Area for Monochamus alternatus under Current and Future Climatic Scenarios Based on Optimized MaxEnt Model
title_full Potentially Suitable Geographical Area for Monochamus alternatus under Current and Future Climatic Scenarios Based on Optimized MaxEnt Model
title_fullStr Potentially Suitable Geographical Area for Monochamus alternatus under Current and Future Climatic Scenarios Based on Optimized MaxEnt Model
title_full_unstemmed Potentially Suitable Geographical Area for Monochamus alternatus under Current and Future Climatic Scenarios Based on Optimized MaxEnt Model
title_sort potentially suitable geographical area for monochamus alternatus under current and future climatic scenarios based on optimized maxent model
publisher MDPI AG
publishDate 2023
url https://doi.org/10.3390/insects14020182
https://doaj.org/article/dec0ef2d055a4f4d9188014314347046
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_source Insects, Vol 14, Iss 182, p 182 (2023)
op_relation https://www.mdpi.com/2075-4450/14/2/182
https://doaj.org/toc/2075-4450
doi:10.3390/insects14020182
2075-4450
https://doaj.org/article/dec0ef2d055a4f4d9188014314347046
op_doi https://doi.org/10.3390/insects14020182
container_title Insects
container_volume 14
container_issue 2
container_start_page 182
_version_ 1768379423069831168