Pimentel, D., Zuniga, R. & Morrison, D. Update on the environmental and economic costs associated with alien-invasive species in the United States. Ecol. Econom. 52, 273–288. https://doi.org/10.1016/j.ecolecon.2004.10.002 (2005).
Google Scholar
Bellard, C., Cassey, P. & Blackburn, T. M. Alien species as a driver of recent extinctions. Biol. Lett. 12, 20150623. https://doi.org/10.1098/rsbl.2015.0623 (2016).
Google Scholar
Hulmes, P. E. Trade, transport and trouble: managing invasive species pathways in an era of globalization. J. Appl. Ecol. 46, 10–18. https://doi.org/10.1111/j.1365-2664.2008.01600.x (2009).
Google Scholar
Lockwood, J. L., Hoopes, M. F. & Marchetti, M. P. Invasion Ecology, 2nd ed. (Wiley-Blackwell, 2013)
Wan, F. H. & Yang, N. W. Invasion and management of agricultural alien insects in China. Annu. Rev. Entomol. 61, 77–98. https://doi.org/10.1146/annurev-ento-010715-023916 (2016).
Google Scholar
Wittenberg, R. & Cock, M. J. W. Invasive Alien Species: A Toolkit of Best Prevention and Management Practices. (CAB International, 2001)
Elith, J. et al. A statistical explanation of MaxEnt for ecologists. Divers. Distrib. 17, 43–57. https://doi.org/10.1111/j.1472-4642.2010.00725.x (2011).
Google Scholar
Phillips, S. J., Anderson, R. P. & Schapire, R. E. Maximum entropy modeling of species geographic distributions. Ecol. Model. 190, 231–259. https://doi.org/10.1016/j.ecolmodel.2005.03.026 (2006).
Google Scholar
Barbet-Massin, M., Rome, Q., Villemant, C. & Courchamp, F. Can species distribution models really predict the expansion of invasive species?. PLoS ONE 13, 0193085. https://doi.org/10.1371/journal.pone.0193085 (2018).
Google Scholar
Peterson, A. T., Papes, M. & Eaton, M. Transferability and model evaluation in ecological niche modeling: A comparison of GARP and Maxent. Ecography 30, 550–560. https://doi.org/10.1111/j.0906-7590.2007.05102.x (2007).
Google Scholar
Fourcade, Y., Engler, J. O., Rödder, D. & Secondi, J. Mapping species distributions with MAXENT using a geographically biased sample of presence data: A performance assessment of methods for correcting sampling bias. PLoS ONE 9, 97122. https://doi.org/10.1371/journal.pone.0097122 (2014).
Google Scholar
Phillips, S. J. & Dudík, M. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 31, 161–175. https://doi.org/10.1111/j.0906-7590.2008.5203.x (2008).
Google Scholar
Zhang, Y., Zhang, C. B., Hao, J. H. & Gu, H. T. Prediction of potential suitable distribution area of invasive alien pest, Viteus vitifoliae Fitch in China. Chinese J. Ecol. 34, 1986–1993 (2015) (in Chinese).
Prabhulinga, T. et al. Maximum entropy modelling for predicting the potential distribution of cotton whitefly Bemisia tabaci (Gennadius) in North India. J. Entomol. Zool. Stud. 5, 1002–1006 (2017).
Anjum, H. & Ahmed, S. Y. An updated and consolidated review on Indian Aleyrodids fauna (Hemiptera: Aleyrodidae: Insecta) along with their host plant families and distributional records. Rec. Zool. Surv. India 119, 381–417 (2019).
Ouvrard, D., Martin, J. The White-files – Taxonomic checklist of the world’s whiteflies (Insecta: Hemiptera: Aleyrodidae). http://www.hemiptera-databases.org/whiteflies/ (2021)
Blackman, R. L. & Eastop, V. F. Aphids on the World’s Trees: An Identification and Information Guide. (CAB International, 1994)
Blackman, R. L., Eastop, V. F. Aphids on the World’s Crops: An Identification and Information Guide. Second Edition. (John Wiley & Sons, 2020)
Blackman, R. L., Eastop, V. F. Aphids on the World’s Herbaceous Plants and Shrubs. (John Wiley & Sons Ltd, 2006)
Hsieh, C. H. et al. Identification of a new invasive Q biotype of Bemisia tabaci (Hemiptera: Aleyrodidae) in Taiwan by molecular markers. Formosan Entomol. 28, 211–224. https://doi.org/10.6661/TESFE.2008016 (2008) (in Chinese).
Google Scholar
Liu, B., Qin, W. Q. & Yan, W. Potential geographical distribution of Paraleyrodes minei (Hemiptera: Aleyrodidae) in China based on maxent model. J. Environ. Entomol. 41, 1276–1286 (2019) (in Chinese).
Franklin, J. Mapping Species Distributions: Spatial Inference and Prediction. (Cambridge University Press, 2010)
Peterson, A. T. et al. Ecological Niches and Geographical Distributions (Princeton, 2011).
Google Scholar
Peterson, A. T., Papeş, M. & Soberón, J. Rethinking receiver operating characteristic analysis applications in ecological niche modeling. Ecol. Model. 213, 63–72. https://doi.org/10.1016/j.ecolmodel.2007.11.008 (2008).
Google Scholar
Velasco, J. A. & Gonzalez-Salazar, C. Akaike information criterion should not be a “test” of geographical prediction accuracy in ecological niche modelling. Ecol. Inform. 51, 25–32. https://doi.org/10.1016/j.ecoinf.2019.02.005 (2019).
Google Scholar
Jiang, H. Y. et al. Effects of sample size on accuracy of MaxEnt: A case study of Fagus hayatae. Q. J. For. Res. 36, 101–114 (2014) (in Chinese).
Peterson, A. T. et al. Ecological Niches and Geographic Distributions. (Princeton University Press, 2011)
Guan, H. Y. Fruit tree quarantine pests-Viteus vitifoliae. J. Hebei Forest Sci. Technol. 2, 38–40 (1987) (in Chinese).
Lu, J., Wang, Z. W., Wang, Z. Y. & Liao, H. L. Research progress on biological characteristics and control of Daktulosphaira vitifoliae. Jiangxi Plant Prot. 2, 51–56 (2008) (in Chinese).
Sundararaj, R., Amuthavalli, T. & Vimala, D. Invasion and establishment of the solanum whitefly Aleurothrixus trachoides (Back) (Hemiptera: Aleyrodidae) in South India. Curr. Sci. 115, 29–31 (2018).
Google Scholar
Martin, J. H., Agular, A. M. F. & Baufeld, P. Crenidorsum aroidephagus Martin & Aguiar sp. nov. (Sternorrhyncha: Aleyrodidae), a New World whitefly species now colonising cultivated Araceae in Europe, Macaronesia and The Pacific Region. Zootaxa 4, 1–8n. https://doi.org/10.11646/zootaxa.4.1.1 (2001).
Google Scholar
Iaccarino, F. M. Descrizione di. Paraleyrodes minei n. sp. (Homoptera: Aleyrodidae), nuovo aleirode degli agrumi, in Siria. Boll. Lab. Entomol. Agrar. Portici 46, 131–149 (1990) (in Italian).
Palumbo, J. C. Seasonal abundance and control of the lettuce aphid, Nasonovia ribisnigri, on head lettuce in Arizona. https://repository.arizona.edu/handle/10150/220018 (2000)
Palumbo, J. C. Population growth of lettuce aphid, Nasonovia ribisnigri, on resistant butter and head lettuce cultivars. https://repository.arizona.edu/handle/10150/214949 (2002)
Diaz, B. M. & Fereres, A. life table and population parameters of Nasonovia ribisnigri (Homoptera: Aphididae) at different constant temperatures. Environ. Entomol. 34, 527–534. https://doi.org/10.1603/0046-225X-34.3.527 (2005).
Google Scholar
Feeley, K. J. & Silman, M. R. Keep collecting: Accurate species distribution modelling requires more collections than previously thought. Divers. Distrib. 17, 1132–1140. https://doi.org/10.1111/j.1472-4642.2011.00813.x (2011).
Google Scholar
Phillips, S. J. et al. Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data. Ecol. Appl. 19, 181–197. https://doi.org/10.1890/07-2153.1 (2009).
Google Scholar
Naimi, B., Skidmore, A. K., Thomas, A. G. & Nicholas, A. S. H. Spatial autocorrelation in predictors reduces the impact of positional uncertainty in occurrence data on species distribution modelling. J. Biogeogr. 38, 1497–1509. https://doi.org/10.1111/j.1365-2699.2011.02523.x (2011).
Google Scholar
Fitzpatrick, M. C., Gotelli, N. J. & Ellison, A. M. MaxEnt versus MaxLike: empirical comparisons with ant species distribution. Ecosphere 4, 1–15. https://doi.org/10.1890/ES13-00066.1 (2013).
Google Scholar
Yackulic, B. C. et al. Presence-only modelling using MAXENT: when can we trust the inferences. Methods Ecol. Evol. 4, 236–243. https://doi.org/10.1111/2041-210x.12004 (2013).
Google Scholar
Araujo, M. B. & Guisan, A. Five (or so) challenges for species distribution modelling. J. Biogeogr. 33, 1677–1688. https://doi.org/10.1111/j.1365-2699.2006.01584.x (2006).
Google Scholar
Halvorsen, R., Mazzoni, S., Bryn, A. & Bakkestuen, V. Opportunities for improved distribution modelling practice via a strict maximum likelihood interpretation of MaxEnt. Ecography 38, 172–183. https://doi.org/10.1111/ecog.00565 (2015).
Google Scholar
Elith, J. & Leathwick, J. R. Species distribution models: Ecological explanation and prediction across space and time. Annu. Rev. Ecol. Evol. S. 40, 677–697. https://doi.org/10.1146/annurev.ecolsys.110308.120159 (2009).
Google Scholar
Byeon, D.-A., Jung, S. & Lee, W.-H. Review of CLIMEX and MaxEnt for studying species distribution in South Korea. J. Asia Pac. Biodivers. 11, 325–333. https://doi.org/10.1016/j.japb.2018.06.002 (2018).
Google Scholar
Ma, F. et al. The potential geographical distribution of Daktulosphaira vitifoliae based on CLIMEX in China. J. Environ. Entomol. 36, 293–297 (2014) (in Chinese).
QGIS Development Team. QGIS Geographic Information System. Open Source Geospatial Foundation Project. http://qgis.osgeo.org (2019)
Phillips, S. J. A brief tutorial on Maxent. http://biodiversityinformatics.amnh.org/open_source/maxent/ (2017)
Fick, S. E. & Hijmans, R. J. WorldClim 2, New 1 km spatial resolution climate surfaces for global land areas. Int. J. Climatol. 37, 4302–4315. https://doi.org/10.1002/joc.5086 (2017).
Google Scholar
De Meyer, M. et al. Ecological niche and potential geographic distribution of the invasive fruit fly Bactrocera invadens (Diptera, Tephritidae). Bull. Entomol. Res. 100, 35–48. https://doi.org/10.1017/S0007485309006713 (2010).
Google Scholar
Bidinger, K., Loetters, S. & Roedder, D. Species distribution models for the alien invasive asian harlequin ladybird (Harmonia axyridis). J. Appl. Entomol. 136, 109–123. https://doi.org/10.1111/j.1439-0418.2010.01598 (2012).
Google Scholar
Hijmans, R. Package “raster”. http://raster.r-forge.r-project.org/ (2011)
Bivand, R., Keitt, T. & Rowlingson, B. Package “rgdal” https://CRAN.R-project.org/package=rgdal (2015)
Phillips, S. J., Dudik, M. & Schapire, R.E. Maxent software for modeling species niches and distribution (version 3.4.1) https://biodiversityinformatics.amnh.org/open_source/maxent/
Hijmans, R. J., Phillips, S., Leathwick, J. & Elith, J. Package ‘dismo’ http://cran.r-project.org/web/packages/dismo/index.html (2011)
Muscarella, R. et al. ENMeval: an R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models. Methods Ecol. Evol. 5, 1198–1205. https://doi.org/10.1111/2041-210X.12261 (2014).
Google Scholar
Hernandez, P. A., Graham, C. H., Master, L. L. & Albert, D. L. The effect of sample size and species characteristics on performance of different species distribution modelling methods. Ecography 29, 773–785. https://doi.org/10.1111/j.0906-7590.2006.04700.x (2006).
Google Scholar
Liu, C., White, M. & Newell, G. Selecting thresholds for the prediction of species occurrence with presence-only data. J. Biogeogr. 40, 778–789. https://doi.org/10.1111/jbi.12058 (2013).
Google Scholar
Kumar, S., Neven, L. G., Zhu, H. & Zhang, R. Assessing the global risk of establishment of Cydia pomonella (Lepidoptera: Tortricidae) using CLIMEX and MaxEnt niche models. J. Econ. Entomol. 108, 1708–1719. https://doi.org/10.1093/jee/tov166 (2015).
Google Scholar
Boria, R. A., Olson, L. E., Goodman, S. M. & Anderson, R. P. Spatial filtering to reduce sampling bias can improve the performance of ecological niche models. Ecol. Model. 275, 73–77. https://doi.org/10.1016/j.ecolmodel.2013.12.012 (2014).
Google Scholar
Yeh, H. T., Ko, C. C. & Hsu, T. C. Diagnostic techniques for the quarantine pest, Nasonovia ribisnigri (Mosley) (Hemiptera: Aphididae). Formosan Entomol. 26, 283–293 (2006) (in Chinese).
Benheim, D. et al. Grape phylloxera (Daktulospharia vitifoliae)-a review of potential detection and alternative management options. Ann. Appl. Biol. 161, 91–115 (2012).
Google Scholar
CABI. Invasive Species Compendium. https://www.cabi.org/ISC (2018)
Sujithra, M., Rajkumar, P. V. H., Hegde, V. & Poorani, J. Occurrence of nesting whitefly Paraleyrodes minei Iaccarino (Hemiptera: Aleyrodidae) in India. Indian J. Entomol. 81, 1–4 (2019).
Google Scholar
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