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Predicting suitable areas for Metcalfa pruinosa (Hemiptera: Flatidae) under climate change and implications for management

https://doi.org/10.1093/jisesa/ieae053
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/ece3.5251openalex-snapshot
Current and future potential distributions of three Dracaena Vand. ex L. species under two contrasting climate change scenarios in Africa
inferredcites →https://doi.org/10.1002/ps.5280openalex-snapshot
Potential distribution of an invasive pest, Eu platypus parallelus , in China as predicted by Maxent
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Prediction of current and future potential distributions of the Eucalyptus pest Leptocybe invasa (Hymenoptera: Eulophidae) in China using the CLIMEX model
inferredcites →https://doi.org/10.1002/ps.5684openalex-snapshot
Potential distribution of two invasive pineapple pests under climate change
inferredcites →https://doi.org/10.1002/ps.6478openalex-snapshot
Horizon scanning to assess the bioclimatic potential for the alien species Spodoptera eridania and its parasitoids after pest detection in West and Central Africa
inferredcites →https://doi.org/10.1007/s10340-010-0308-3openalex-snapshot
Pest risk analysis of Metcalfa pruinosa in Austria
inferredcites →https://doi.org/10.1007/s10340-016-0780-5openalex-snapshot
Incorporating anthropogenic variables into ecological niche modeling to predict areas of invasion of Popillia japonica
inferredcites →https://doi.org/10.1007/s10340-021-01411-1openalex-snapshot
Predicting climate change impacts on potential worldwide distribution of fall armyworm based on CMIP6 projections
inferredcites →https://doi.org/10.1016/j.aspen.2011.06.002openalex-snapshot
Outbreak of an exotic flatid, Metcalfa pruinosa (Say) (Hemiptera: Flatidae), in the capital region of Korea
inferredcites →https://doi.org/10.1016/j.aspen.2019.07.007openalex-snapshot
Current and future distribution of Metcalfa pruinosa (Say) (Hemiptera: Flatidae) in Korea: Reasoning of fast spreading
inferredcites →https://doi.org/10.1016/j.ecolmodel.2005.03.026openalex-snapshot
Maximum entropy modeling of species geographic distributions
inferredcites →https://doi.org/10.1016/j.ecolmodel.2013.12.012openalex-snapshot
Spatial filtering to reduce sampling bias can improve the performance of ecological niche models
inferredcites →https://doi.org/10.1016/j.gecco.2022.e02021openalex-snapshot
Including climate change to predict the global suitable area of an invasive pest: Bactrocera correcta (Diptera: Tephritidae)
inferredcites →https://doi.org/10.1016/j.japb.2017.06.004openalex-snapshot
Predictive analysis of Metcalfa pruinosa (Hemiptera: Flatidae) distribution in South Korea using CLIMEX software
inferredcites →https://doi.org/10.1038/s41559-019-0972-5openalex-snapshot
A checklist for maximizing reproducibility of ecological niche models
inferredcites →https://doi.org/10.1038/s41586-021-03405-6openalex-snapshot
High and rising economic costs of biological invasions worldwide
inferredcites →https://doi.org/10.1038/s41598-017-04607-7openalex-snapshot
Impact of climate and host availability on future distribution of Colorado potato beetle
inferredcites →https://doi.org/10.1080/03949370.2013.863225openalex-snapshot
Biological invaders are threats to human health: an overview
inferredcites →https://doi.org/10.1093/aesa/41.1.63openalex-snapshot
Cuban Flatidae with New Species from Adjacent Regions
inferredcites →https://doi.org/10.1093/biolinnean/blab149openalex-snapshot
Current and future potential global distribution of the invading species Drosophila nasuta (Diptera: Drosophilidae)
inferredcites →https://doi.org/10.1093/ee/nvx203openalex-snapshot
Current and Future Potential Risk of Establishment of Grapholita molesta (Lepidoptera: Tortricidae) in Washington State
inferredcites →https://doi.org/10.1093/jee/toaa245openalex-snapshot
Potential Distributions of the Invasive Barnacle Scale Ceroplastes cirripediformis (Hemiptera: Coccidae) Under Climate Change and Implications for Its Management
inferredcites →https://doi.org/10.1093/jee/toad058openalex-snapshot
Climate change impacts on the potential worldwide distribution of the soybean pest, Piezodorus guildinii (Hemiptera: Pentatomidae)
inferredcites →https://doi.org/10.1098/rsbl.2015.0623openalex-snapshot
Alien species as a driver of recent extinctions
inferredcites →https://doi.org/10.1111/1748-5967.12253openalex-snapshot
Prediction of global geographic distribution of Metcalfa pruinosa using CLIMEX
inferredcites →https://doi.org/10.1111/2041-210x.12200openalex-snapshot
SDM toolbox: a python‐based GIS toolkit for landscape genetic, biogeographic and species distribution model analyses
inferredcites →https://doi.org/10.1111/2041-210x.12261openalex-snapshot
ENM eval: An R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models
inferredcites →https://doi.org/10.1111/2041-210x.13152openalex-snapshot
CoordinateCleaner : Standardized cleaning of occurrence records from biological collection databases
inferredcites →https://doi.org/10.1111/aab.12582openalex-snapshot
Biological and molecular evidence for the transmission of aster yellows phytoplasma to French marigold ( Tagetes patula ) by the flatid planthopper Metcalfa pruinosa
inferredcites →https://doi.org/10.1111/ddi.12096openalex-snapshot
The importance of correcting for sampling bias in MaxEnt species distribution models
inferredcites →https://doi.org/10.1111/ecog.01132openalex-snapshot
spThin: an R package for spatial thinning of species occurrence records for use in ecological niche models
inferredcites →https://doi.org/10.1111/j.0021-8901.2004.00943.xopenalex-snapshot
The effects of species’ range sizes on the accuracy of distribution models: ecological phenomenon or statistical artefact?
inferredcites →https://doi.org/10.1111/j.0906-7590.2006.04700.xopenalex-snapshot
The effect of sample size and species characteristics on performance of different species distribution modeling methods
inferredcites →https://doi.org/10.1111/j.1365-2486.2010.02224.xopenalex-snapshot
The Mediterranean Sea as a ‘cul‐de‐sac’ for endemic fishes facing climate change
inferredcites →https://doi.org/10.1111/j.1466-8238.2012.00768.xopenalex-snapshot
Invasive species distribution models – how violating the equilibrium assumption can create new insights
inferredcites →https://doi.org/10.1111/j.1472-4642.2008.00482.xopenalex-snapshot
Effects of sample size on the performance of species distribution models
inferredcites →https://doi.org/10.1111/j.1472-4642.2010.00725.xopenalex-snapshot
A statistical explanation of MaxEnt for ecologists
inferredcites →https://doi.org/10.1111/j.1472-4642.2011.00813.xopenalex-snapshot
Keep collecting: accurate species distribution modelling requires more collections than previously thought
inferredcites →https://doi.org/10.1111/j.1600-0587.2009.06039.xopenalex-snapshot
The uncertain nature of absences and their importance in species distribution modelling
inferredcites →https://doi.org/10.1111/j.2006.0906-7590.04596.xopenalex-snapshot
Novel methods improve prediction of species’ distributions from occurrence data
inferredcites →https://doi.org/10.1111/jbi.14704openalex-snapshot
A test of species' mobility hypothesis in ecological niche modelling
inferredcites →https://doi.org/10.1371/journal.pone.0040969openalex-snapshot
Sensitivity Analysis of CLIMEX Parameters in Modelling Potential Distribution of Lantana camara L.
inferredcites →https://doi.org/10.1371/journal.pone.0097122openalex-snapshot
Mapping Species Distributions with MAXENT Using a Geographically Biased Sample of Presence Data: A Performance Assessment of Methods for Correcting Sampling Bias
inferredcites →https://doi.org/10.1371/journal.pone.0174318openalex-snapshot
Global potential distribution of Drosophila suzukii (Diptera, Drosophilidae)
inferredcites →https://doi.org/10.2307/jj.41379768.18openalex-snapshot
A Global Strategy on Invasive Alien Species:
inferredcites →https://doi.org/10.24425/jppr.2022.142130openalex-snapshot
First report of the Nearctic planthopper Metcalfa pruinosa (Say, 1830) in Poland, its current status and potential threats (Hemiptera: Fulgoromorpha: Flatidae)
inferredcites →https://doi.org/10.3389/fevo.2021.786436openalex-snapshot
Study on the Potential Distribution of Leptinotarsa decemlineata and Its Natural Enemy Picromerus bidens Under Climate Change
inferredcites →https://doi.org/10.3390/f10070583openalex-snapshot
Occurrence Prediction of the Citrus Flatid Planthopper (Metcalfa pruinosa (Say, 1830)) in South Korea Using a Random Forest Model
inferredcites →https://doi.org/10.3390/f10090773openalex-snapshot
Modeling the Potential Global Distribution of Phenacoccus madeirensis Green under Various Climate Change Scenarios
inferredcites →https://doi.org/10.3390/f11060684openalex-snapshot
Predicting the Potential Global Geographical Distribution of Two Icerya Species under Climate Change
inferredcites →https://doi.org/10.3390/insects11060345openalex-snapshot
Egg Hatching and First Instar Falling Models of Metcalfa pruinosa (Hemiptera: Flatidae)
inferredcites →https://doi.org/10.3390/insects12020092openalex-snapshot
Predicting the Distribution of the Invasive Species Leptocybe invasa: Combining MaxEnt and Geodetector Models
inferredcites →https://doi.org/10.3390/insects12040275openalex-snapshot
Modeling the Invasion of the Large Hive Beetle, Oplostomusfuligineus, into North Africa and South Europe under a Changing Climate
inferredcites →https://doi.org/10.3390/insects12040347openalex-snapshot
Potential Global Distribution of Daktulosphaira vitifoliae under Climate Change Based on MaxEnt
inferredcites →https://doi.org/10.3390/insects13121081openalex-snapshot
Predicting Climate Change Effects on the Potential Distribution of Two Invasive Cryptic Species of the Bemisia tabaci Species Complex in China
inferredcites →https://doi.org/10.5423/ppj.oa.04.2017.0074openalex-snapshot
Role of Metcalfa pruinosa as a Vector for Pseudomonas syringae pv. actinidiae
inferredcites →https://doi.org/10.5656/ksae.2019.10.0.044openalex-snapshot
Host plants of Metcalfa pruinosa (Say) (Hemiptera: Flatidae) nymph and adult.
inferredcites →https://doi.org/10.5860/choice.43-4652openalex-snapshot
Invasive alien species: a new synthesis
inferredcites →https://doi.org/10.7717/peerj.4095openalex-snapshot
SDMtoolbox 2.0: the next generation Python-based GIS toolkit for landscape genetic, biogeographic and species distribution model analyses
inferredcites →https://doi.org/10.7717/peerj.4832openalex-snapshot
Predicting the potential distributions of the invasive cycad scale Aulacaspis yasumatsui (Hemiptera: Diaspididae) under different climate change scenarios and the implications for management

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1093/jisesa/ieae116openalex-snapshot
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inferred← citeshttps://doi.org/10.3389/fevo.2025.1549532openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/agronomy16090878openalex-snapshot
Distance-Dependent Patterns of Metcalfa pruinosa (Say, 1830) Across a Forest–Crop Interface in an Agricultural Landscape
inferred← citeshttps://doi.org/10.3390/insects16060626openalex-snapshot
Distribution Pattern and Change Prediction of Luprops orientalis (Coleoptera: Tenebrionidae) Suitable Area in East Asia Under Climate Change
inferred← citeshttps://doi.org/10.3390/insects16080802openalex-snapshot
Effects of Climate Change on the Global Distribution of Trachypteris picta (Coleoptera: Buprestidae)
inferred← citeshttps://doi.org/10.3390/insects16080843openalex-snapshot
Global Invasion Potential of Black-Headed and Red-Headed Webworm, Hyphantria cunea (Drury) (Lepidoptera: Erebidae: Arctiidae) Following Climatic Niche Simulations
inferred← citeshttps://doi.org/10.3390/insects16121227openalex-snapshot
Predicted Global Redistribution of Lagria nigricollis (Coleoptera: Tenebrionidae) Under Future Climate Change
inferred← citeshttps://doi.org/10.3390/insects17020155openalex-snapshot
Current and Future Potential Distribution of the Flower Bud Fly (Dasiops saltans) in Pitahaya Cultivation in Northern Peru Under Climate Change Scenarios
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