Human-mediated dispersal drives the spread of the spotted lanternfly (Lycorma delicatula)
Simberloff, D. et al. (eds) Invasive Species in a Globalized World (University of Chicago Press, 2015).
Google Scholar
Gippet, J. M., Liebhold, A. M., Fenn-Moltu, G. & Bertelsmeier, C. Human-mediated dispersal in insects. Curr. Opin. Insect Sci. 35, 96–102 (2019).Article
Google Scholar
Hall, C. M. Biological invasion, biosecurity, tourism, and globalisation. In Handbook of Globalisation and Tourism (Edward Elgar Publishing, 2019).
Google Scholar
Bertelsmeier, C. Globalization and the anthropogenic spread of invasive social insects. Curr. Opin. Insect Sci. https://doi.org/10.1016/j.cois.2021.01.006 (2021).Article
Google Scholar
Simberloff, D. How common are invasion-induced ecosystem impacts?. Biol. Invasions 13, 1255–1268 (2011).Article
Google Scholar
Hayes, K. R. & Barry, S. C. Are there any consistent predictors of invasion success?. Biol. Invasions 10, 483–506 (2008).Article
Google Scholar
Catford, J. A., Vesk, P. A., Richardson, D. M. & Pyšek, P. Quantifying levels of biological invasion: Towards the objective classification of invaded and invasible ecosystems. Glob. Change Biol. 18, 44–62 (2012).Article
ADS
Google Scholar
Arim, M., Abades, S. R., Neill, P. E., Lima, M. & Marquet, P. A. Spread dynamics of invasive species. Proc. Natl. Acad. Sci. USA 103, 374–378 (2006).Article
ADS
CAS
Google Scholar
Kamenova, S. et al. Invasions toolkit: Current methods for tracking the spread and impact of invasive species. Adv. Ecol. Res. 56, 85–182 (2017).Article
Google Scholar
Hulme, P. E. Trade, transport and trouble: Managing invasive species pathways in an era of globalization. J. Appl. Ecol. 46, 10–18 (2009).Article
Google Scholar
Banks, N. C., Paini, D. R., Bayliss, K. L. & Hodda, M. The role of global trade and transport network topology in the human-mediated dispersal of alien species. Ecol. Lett. 18, 188–199 (2015).Article
Google Scholar
Crooks, J. A. & Rilov, G. The establishment of invasive species. In Biological Invasions in Marine Ecosystems 173–175 (Springer, 2009).Chapter
Google Scholar
Lockwood, J. L., Cassey, P. & Blackburn, T. M. The more you introduce the more you get: The role of colonization pressure and propagule pressure in invasion ecology. Divers. Distrib. 15, 904–910 (2009).Article
Google Scholar
Sakai, A. K. et al. The population biology of invasive species. Annu. Rev. Ecol. Syst. 32, 305–332 (2001).Article
Google Scholar
O’Reilly-Nugent, A. et al. Landscape effects on the spread of invasive species. Curr. Landsc. Ecol. Rep. 1, 107–114 (2016).Article
Google Scholar
Simberloff, D. We can eliminate invasions or live with them. Successful management projects. In Ecological Impacts of Non-native Invertebrates and Fungi on Terrestrial Ecosystems 149–157 (Springer, 2008).
Google Scholar
Gutierrez, A. P. & Ponti, L. Eradication of invasive species: Why the biology matters. Environ. Entomol. 42, 395–411 (2013).Article
Google Scholar
McLaughlin, G. M. & Dearden, P. K. Invasive insects: Management methods explored. J. Insect Sci. 19, 17 (2019).Article
Google Scholar
Han, J. M. et al. Lycorma delicatula (hemiptera: Auchenorrhyncha: Fulgoridae: Aphaeninae) finally, but suddenly arrived in Korea. Entomol. Res. 38, 281–286 (2008).Article
Google Scholar
Park, J.-D. et al. Biological characteristics of lycorma delicatula and the control effects of some insecticides. Korean J. Appl. Entomol. 48, 53–57 (2009).Article
Google Scholar
Shin, Y.-H., Moon, S.-R., Yoon, C.-M., Ahn, K.-S. & Kim, G.-H. Insecticidal activity of 26 insectcides against eggs and nymphs of Lycorma delicatula (hemiptera: Fulgoridae). Korean J. Pestic. Sci. 14, 157–163 (2010).
Google Scholar
Dara, S. K., Barringer, L. & Arthurs, S. P. Lycorma delicatula (hemiptera: Fulgoridae): A new invasive pest in the United States. J. Integr. Pest Manag. 6, 20 (2015).Article
Google Scholar
Urban, J. M. Perspective: Shedding light on spotted lanternfly impacts in the USA. Pest Manag. Sci. 76, 10–17 (2020).Article
CAS
Google Scholar
Liu, G. Some extracts from the history of entomology in china. Psyche 46, 23–28 (1939).Article
Google Scholar
Barringer, L. E., Donovall, L. R., Spichiger, S.-E., Lynch, D. & Henry, D. The first new world record of Lycorma delicatula (insecta: Hemiptera: Fulgoridae). Entomol. News 125, 20–23 (2015).Article
Google Scholar
Parra, G., Moylett, H. & Bulluck, R. Technical Working Group Summary Report: Spotted Lanternfly, Lycorma Delicatula (White, 1845). (2018).Harper, J. K., Stone, W., Kelsey, T. W. & Kime, L. F. Potential Economic Impact of the Spotted Lanternfly on Agriculture and Forestry in Pennsylvania 1–84 (The Center for Rural Pennsylvania, 2019).
Google Scholar
Kim, J. G., Lee, E.-H., Seo, Y.-M. & Kim, N.-Y. Cyclic behavior of Lycorma delicatula (insecta: Hemiptera: Fulgoridae) on host plants. J. Insect Behav. 24, 423–435 (2011).Article
Google Scholar
Albright, T. A. et al. Pennsylvania forests 2014. Resour. Bull. 111, 1–140 (2017).
Google Scholar
Liu, H. Oviposition substrate selection, egg mass characteristics, host preference, and life history of the spotted lanternfly (hemiptera: Fulgoridae) in North America. Environ. Entomol. 48, 1452–1468 (2019).
Google Scholar
Barringer, L. & Ciafré, C. M. Worldwide feeding host plants of spotted lanternfly, with significant additions from North America. Environ. Entomol. 49, 999–1011 (2020).Article
Google Scholar
Murman, K. et al. Distribution, survival, and development of spotted lanternfly on host plants found in North America. Environ. Entomol. 49, 1270–1281 (2020).Article
Google Scholar
Huron, N. A., Behm, J. E. & Helmus, M. R. Paninvasion severity assessment of a us grape pest to disrupt the global wine market. bioRxiv (2021).Dara, S. K. Update on the Spotted Lanternfly.Jung, J.-M., Jung, S., Byeon, D.-H. & Lee, W.-H. Model-based prediction of potential distribution of the invasive insect pest, spotted lanternfly Lycorma delicatula (hemiptera: Fulgoridae), by using climex. J. Asia-Pac. Biodivers. 10, 532–538 (2017).Article
Google Scholar
Namgung, H., Kim, M.-J., Baek, S., Lee, J.-H. & Kim, H. Predicting potential current distribution of Lycorma delicatula (hemiptera: Fulgoridae) using maxent model in south korea. J. Asia-Pac. Entomol. 23, 291–297 (2020).Article
Google Scholar
Wakie, T. T., Neven, L. G., Yee, W. L. & Lu, Z. The establishment risk of Lycorma delicatula (hemiptera: Fulgoridae) in the United States and globally. J. Econ. Entomol. 113, 306–314 (2020).
Google Scholar
Grimm, V. et al. A standard protocol for describing individual-based and agent-based models. Ecol. Model. 198, 115–126 (2006).Article
Google Scholar
DeAngelis, D. L. Individual-Based Models and Approaches in Ecology: Populations, Communities and Ecosystems (CRC Press, 2018).Book
Google Scholar
Łomnicki, A. Individual-based models and the individual-based approach to population ecology. Ecol. Model. 115, 191–198 (1999).Article
Google Scholar
Grimm, V. & Railsback, S. F. A conceptual framework for designing individual-based models. In Individual-Based Modeling and Ecology 71–121 (Princeton University Press, 2005).Chapter
MATH
Google Scholar
Smith, N. R. et al. Agent-based models of malaria transmission: A systematic review. Malar. J. 17, 1–16 (2018).Article
CAS
Google Scholar
Venkatramanan, S. et al. Using data-driven agent-based models for forecasting emerging infectious diseases. Epidemics 22, 43–49 (2018).Article
Google Scholar
Harris, C. M., Park, K. J., Atkinson, R., Edwards, C. & Travis, J. Invasive species control: Incorporating demographic data and seed dispersal into a management model for rhododendron ponticum. Ecol. Inform. 4, 226–233 (2009).Article
Google Scholar
Gallien, L., Münkemüller, T., Albert, C. H., Boulangeat, I. & Thuiller, W. Predicting potential distributions of invasive species: Where to go from here?. Divers. Distrib. 16, 331–342 (2010).Article
Google Scholar
Rebaudo, F., Crespo-Pérez, V., Silvain, J.-F. & Dangles, O. Agent-based modeling of human-induced spread of invasive species in agricultural landscapes: Insights from the potato moth in ecuador. J. Artif. Soc. Soc. Simul. 14, 7 (2011).Article
Google Scholar
Day, C. C., Landguth, E. L., Bearlin, A., Holden, Z. A. & Whiteley, A. R. Using simulation modeling to inform management of invasive species: A case study of eastern brook trout suppression and eradication. Biol. Conserv. 221, 10–22 (2018).Article
Google Scholar
Phillips, S. J., Anderson, R. P. & Schapire, R. E. Maximum entropy modeling of species geographic distributions. Ecol. Model. 190, 231–259 (2006).Article
Google Scholar
Phillips, S. J., Dudı’k, M. & Schapire, R. E. A maximum entropy approach to species distribution modeling. In Proceedings of the Twenty-first International Conference on Machine Learning 83 (2004).Phillips, S. J. et al. A brief tutorial on maxent. AT&T Res. 190, 231–259 (2005).
Google Scholar
R Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2020).
Google Scholar
Urbanek, S. RJava: Low-Level R to Java Interface. (2020).Hijmans, R. J., Phillips, S., Leathwick, J., Elith, J. & Hijmans, M. R. J. Package ‘dismo’. Circles 9, 1–68 (2017).
Google Scholar
Elith, J. et al. A statistical explanation of maxent for ecologists. Divers. Distrib. 17, 43–57 (2011).Article
Google Scholar
Lane, M. A. & Edwards, J. L. The global biodiversity information facility (gbif). Syst. Assoc. Spec. 73, 1 (2007).
Google Scholar
O’Donnell, M. S. & Ignizio, D. A. Bioclimatic predictors for supporting ecological applications in the conterminous united states. US Geol. Surv. Data Ser. 691, 4–9 (2012).
Google Scholar
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 (2017).Article
Google Scholar
Hijmans, R. J. Raster: Geographic Data Analysis and Modeling. (2020).Venter, O. et al. Last of the wild project, version 3 (lwp-3): 2009 human footprint, 2018 release. NASA Socioeconomic Data and Applications Center (SEDAC) 10, H46T40JQ44 (2018).Park, M. Overwintering ecology and population genetics of Lycorma delicatula (hemiptera: Fulgoridae) in Korea. Seoul National University, Seoul, Korea Doctoral Thesis (2015).Pearson, K. I. Mathematical contributions to the theory of evolution. VII. On the correlation of characters not quantitatively measurable. Philos. Trans. R. Soc. Lond. Ser. A 195, 1–47 (1900).ADS
MATH
Google Scholar
Warmerdam, F. The geospatial data abstraction library. In Open Source Approaches in Spatial Data Handling 87–104 (Springer, 2008).Chapter
Google Scholar
Greenberg, J. A., Mattiuzzi, M. & SystemRequirements, G. Package ‘gdalUtils’. (2020).Domingue, M. J. & Baker, T. C. Orientation of flight for physically disturbed spotted lanternflies, Lycorma delicatula, (Hemiptera, fulgoridae). J. Asia-Pac. Entomol. 22, 117–120 (2019).Article
Google Scholar
Myrick, A. J. & Baker, T. C. Analysis of anemotactic flight tendencies of the spotted lanternfly (Lycorma delicatula) during the 2017 mass dispersal flights in pennsylvania. J. Insect Behav. 32, 11–23 (2019).Article
Google Scholar
Wolfin, M. S., Myrick, A. J. & Baker, T. C. Flight duration capabilities of dispersing adult spotted lanternflies, Lycorma delicatula. J. Insect Behav. 33, 125–137 (2020).Article
Google Scholar
Strömbom, D. & Pandey, S. Modeling the life cycle of the spotted lanternfly (Lycorma delicatula) with management implications. Math. Biosci. 340, 108670 (2021).Article
MATH
Google Scholar
Wellington, W. G. Conditions governing the distribution of insects in the free atmosphere. Can. Entomol. 77, 7–15 (1945).Article
Google Scholar
DeLong, D. M. The bionomics of leafhoppers. Annu. Rev. Entomol. 16, 179–210 (1971).Article
Google Scholar
Baker, T. et al. Progression of seasonal activities of adults of the spotted lanternfly, Lycorma delicatula, during the 2017 season of mass flight dispersal behavior in eastern Pennsylvania. J. Asia-Pac. Entomol. 22, 705–713 (2019).Article
Google Scholar
Leach, H. & Leach, A. Seasonal phenology and activity of spotted lanternfly (Lycorma delicatula) in eastern us vineyards. J. Pest Sci. 93, 1215–1224 (2020).Article
Google Scholar
Goutte, C. & Gaussier, E. A probabilistic interpretation of precision, recall and f-score, with implication for evaluation. In European Conference on Information Retrieval 345–359 (Springer, 2005).
Google Scholar
Bates, D., Mächler, M., Bolker, B. & Walker, S. Fitting linear mixed-effects models using lme4. J. Stat. Softw. 67, 1–48 (2015).Article
Google Scholar
Tukey, J. Multiple comparisons. J. Am. Stat. Assoc. 48, 624–625 (1953).
Google Scholar
Mendiburu, F. de & Mendiburu, M. F. de. Package ‘agricolae’. R Package, Version 1-2 (2019).McAvoy, T. J., Snyder, A. L., Johnson, N., Salom, S. M. & Kok, L. T. Road survey of the invasive tree-of-heaven (Ailanthus altissima) in Virginia. Invasive Plant Sci. Manag. 5, 506–512 (2012).Article
Google Scholar
Casella, F. & Vurro, M. Ailanthus altissima (tree of heaven): Spread and harmfulness in a case-study urban area. Arboricult. J. 35, 172–181 (2013).Article
Google Scholar
Takahashi, D. & Park, Y.-S. Spatial heterogeneities of human-mediated dispersal vectors accelerate the range expansion of invaders with source–destination-mediated dispersal. Sci. Rep. 10, 1–9 (2020).Article
Google Scholar
Meijer, J. R., Huijbregts, M. A., Schotten, K. C. & Schipper, A. M. Global patterns of current and future road infrastructure. Environ. Res. Lett. 13, 064006 (2018).Article
ADS
Google Scholar
Turner, R. M. et al. Worldwide border interceptions provide a window into human-mediated global insect movement. Ecol. Appl. 31, e02412 (2021).Article
Google Scholar
Ricciardi, A. Are modern biological invasions an unprecedented form of global change?. Conserv. Biol. 21, 329–336 (2007).Article
Google Scholar
Wilson, J. R., Dormontt, E. E., Prentis, P. J., Lowe, A. J. & Richardson, D. M. Something in the way you move: Dispersal pathways affect invasion success. Trends Ecol. Evol. 24, 136–144 (2009).Article
Google Scholar
Auffret, A. G., Berg, J. & Cousins, S. A. The geography of human-mediated dispersal. Divers. Distrib. 20, 1450–1456 (2014).Article
Google Scholar
Koch, F. H., Yemshanov, D., Magarey, R. D. & Smith, W. D. Dispersal of invasive forest insects via recreational firewood: A quantitative analysis. J. Econ. Entomol. 105, 438–450 (2012).Article
Google Scholar
Eyer, P.-A. et al. Extensive human-mediated jump dispersal within and across the native and introduced ranges of the invasive termite Reticulitermes flavipes. Mol. Ecol. 30, 3948–3964 (2020).Article
Google Scholar
Petrice, T. R. & Haack, R. A. Effects of cutting date, outdoor storage conditions, and splitting on survival of Agrilus planipennis (coleoptera: Buprestidae) in firewood logs. J. Econ. Entomol. 99, 790–796 (2006).Article
Google Scholar
Petrice, T. R. & Haack, R. A. Can emerald ash borer, Agrilus planipennis (coleoptera: Buprestidae), emerge from logs two summers after infested trees are cut?. Great Lakes Entomol. 40, 92–95 (2007).
Google Scholar
Muirhead, J. R. et al. Modelling local and long-distance dispersal of invasive emerald ash borer Agrilus planipennis (coleoptera) in North America. Divers. Distrib. 12, 71–79 (2006).Article
Google Scholar
Güneralp, B., Reba, M., Hales, B. U., Wentz, E. A. & Seto, K. C. Trends in urban land expansion, density, and land transitions from 1970 to 2010: A global synthesis. Environ. Res. Lett. 15, 044015 (2020).Article
ADS
Google Scholar
Hulme, P. E. Unwelcome exchange: International trade as a direct and indirect driver of biological invasions worldwide. One Earth 4, 666–679 (2021).Article
ADS
Google Scholar More