Cargando…

Predicting the Distribution of the Invasive Species Leptocybe invasa: Combining MaxEnt and Geodetector Models

SIMPLE SUMMARY: Leptocybe invasa is a global eucalyptus plantation invasive pest and the second alien invasive species in China. In this study, based on the current distribution data of L. invasa in China, combined with a geographic detector model and MaxEnt model, the main environmental variables w...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Hua, Song, Jinyue, Zhao, Haoxiang, Li, Ming, Han, Wuhong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7911618/ https://www.ncbi.nlm.nih.gov/pubmed/33494404 http://dx.doi.org/10.3390/insects12020092

Ejemplares similares

8th MaxEnt Workshop
por: Skilling, J
Publicado: (1989)

Overview of the 37th MaxEnt
por: Dias, Teresa C. M., et al.
Publicado: (2018)

Parasitoids of the eucalyptus gall wasp Leptocybe invasa (Hymenoptera: Eulophidae) in China
por: Zheng, Xia-Lin, et al.
Publicado: (2016)

Calibration Invariance of the MaxEnt Distribution in the Maximum Entropy Principle
por: Korbel, Jan
Publicado: (2021)

Genetic diversity analysis of the invasive gall pest Leptocybe invasa (Hymenoptera: Apodemidae) from China
por: Peng, Xin, et al.
Publicado: (2021)

Effect of the Gall Wasp Leptocybe invasa on Hydraulic Architecture in Eucalyptus camaldulensis Plants
por: Tong, You-Gui, et al.
Publicado: (2016)

Fungal Communities of Eucalyptus grandis Leaves Are Influenced by the Insect Pest Leptocybe invasa
por: Messal, Mandy, et al.
Publicado: (2022)

Longevity and survival of Leptocybe invasa (Hymenoptera: Eulophidae), an invasive gall inducer on Eucalyptus, with different diets and temperatures
por: De Souza, Amanda Rodrigues, et al.
Publicado: (2018)

Differences in Male-Killing Rickettsia Bacteria between Lineages of the Invasive Gall-Causing Pest Leptocybe invasa
por: Peng, Xin, et al.
Publicado: (2023)

What can MaxEnt reveal about high-density recordings and what can high-density recordings reveal about MaxEnt?
por: Panas, Dagmara, et al.
Publicado: (2011)

Predicting the Current and Future Distributions of Frankliniella occidentalis (Pergande) Based on the MaxEnt Species Distribution Model
por: Wang, Zhiling, et al.
Publicado: (2023)

The Effects of Sampling Bias and Model Complexity on the Predictive Performance of MaxEnt Species Distribution Models
por: Syfert, Mindy M., et al.
Publicado: (2013)

Using MaxEnt Model to Predict the Potential Distribution of Three Potentially Invasive Scarab Beetles in China
por: Wang, Shuangyi, et al.
Publicado: (2023)

MaxEnt model-based prediction of potential distributions of Parnassiawightiana (Celastraceae) in China
por: Dai, Xiaosong, et al.
Publicado: (2022)

Correction: The Effects of Sampling Bias and Model Complexity on the Predictive Performance of MaxEnt Species Distribution Models
por: Syfert, Mindy M., et al.
Publicado: (2013)

Predicting the distribution of Stipa purpurea across the Tibetan Plateau via the MaxEnt model
por: Ma, Baibing, et al.
Publicado: (2018)

Potential Global Distribution of Daktulosphaira vitifoliae under Climate Change Based on MaxEnt
por: Ji, Wei, et al.
Publicado: (2021)

Current and future distribution of the deciduous shrub Hydrangea macrophylla in China estimated by MaxEnt
por: Yan, Xingyue, et al.
Publicado: (2021)

Prediction of the Current and Future Distribution of Tomato Leafminer in China Using the MaxEnt Model
por: Yang, Hangxin, et al.
Publicado: (2023)

Genetic Diversity of the Invasive Gall Wasp Leptocybe invasa (Hymenoptera: Eulophidae) and of its Rickettsia Endosymbiont, and Associated Sex-Ratio Differences
por: Nugnes, Francesco, et al.
Publicado: (2015)

On a Robust MaxEnt Process Regression Model with Sample-Selection
por: Kim, Hea-Jung, et al.
Publicado: (2018)

Using MaxEnt to Predict the Potential Distribution of the Little Fire Ant (Wasmannia auropunctata) in China
por: Mao, Mengfei, et al.
Publicado: (2022)

Toward a Monte Carlo approach to selecting climate variables in MaxEnt
por: Schnase, John L., et al.
Publicado: (2021)

Identifying potentially contaminated areas with MaxEnt model for petrochemical industry in China
por: Wang, Meng, et al.
Publicado: (2022)

Predicting the potential distribution of the Asian citrus psyllid, Diaphorina citri (Kuwayama), in China using the MaxEnt model
por: Wang, Rulin, et al.
Publicado: (2019)

Biological traits of Quadrastichus mendeli (Hymenoptera, Eulophidae), parasitoid of the eucalyptus gall wasp Leptocybe invasa (Hymenoptera, Eulophidae) in Thailand
por: Sangtongpraow, Benjakhun, et al.
Publicado: (2019)

Comparison of bacterial diversity and abundance between sexes of Leptocybe invasa Fisher & La Salle (Hymenoptera: Eulophidae) from China
por: Guo, Chunhui, et al.
Publicado: (2020)

Predicting the distribution of a rare chipmunk (Neotamias quadrivittatus oscuraensis): comparing MaxEnt and occupancy models
por: Perkins-Taylor, Ian E, et al.
Publicado: (2020)

Evaluation of Spatial Distribution of Three Major Leptocorisa (Hemiptera: Alydidae) Pests Using MaxEnt Model
por: Hwang, Jeong Ho, et al.
Publicado: (2022)

Culex pipiens distribution in Tunisia: Identification of suitable areas through Random Forest and MaxEnt approaches
por: Amdouni, Jihane, et al.
Publicado: (2022)

Prediction of the Potential Distributions of Prunus salicina Lindl., Monilinia fructicola, and Their Overlap in China Using MaxEnt
por: Zhang, Zhe, et al.
Publicado: (2023)

Predicting the potential suitable distribution area of Emeia pseudosauteri in Zhejiang Province based on the MaxEnt model
por: Li, Sheng, et al.
Publicado: (2023)

Prediction of Potential Suitable Distribution Areas of Quasipaa spinosa in China Based on MaxEnt Optimization Model
por: Hou, Jinliang, et al.
Publicado: (2023)

The current distribution of tick species in Inner Mongolia and inferring potential suitability areas for dominant tick species based on the MaxEnt model
por: Ma, Rui, et al.
Publicado: (2023)

Dominant malaria vector species in Nigeria: Modelling potential distribution of Anopheles gambiae sensu lato and its siblings with MaxEnt
por: Akpan, Godwin E., et al.
Publicado: (2018)

MaxEnt brings comparable results when the input data are being completed; Model parameterization of four species distribution models
por: Ahmadi, Mohsen, et al.
Publicado: (2023)

Evaluation of multi-hazard map produced using MaxEnt machine learning technique
por: Javidan, Narges, et al.
Publicado: (2021)

DynaMETE: a hybrid MaxEnt‐plus‐mechanism theory of dynamic macroecology
por: Harte, John, et al.
Publicado: (2021)

Predicting the potential distribution of the endangered red panda across its entire range using MaxEnt modeling
por: Thapa, Arjun, et al.
Publicado: (2018)

Predicting the Global Distribution of Solenopsis geminata (Hymenoptera: Formicidae) under Climate Change Using the MaxEnt Model
por: Lee, Cheol Min, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_n8k71p0kf0ph1q5grnu3kvgk7k