Abstract
The lychee erinose mite (LEM), Aceria litchii, is an invasive eriophyoid mite posing notable risks to lychee (Litchi chinensis) production worldwide. First detected in Florida’s Lee County in 2018, LEM has since spread to all lychee producing counties in the state. This study investigated LEM’s dispersal dynamics following its initial detection in a lychee orchard in Homestead, Florida. A total of 190 lychee trees (‘Brewster’, ‘Mauritius’, and ‘Sweetheart’ cultivars) were monitored bi-weekly to detect new infestations and determine the LEM spread within the orchard and in the canopy of each tree. The overall LEM spread across cultivars, the infestation levels per tree, the colonization patterns within each canopy, and the spatiotemporal dispersion dynamics of LEM within the orchard were evaluated. Factors such as wind direction, temperature, cultivar susceptibility, tree height, flushing, flowering, and fruiting intensity were analyzed for their influence on LEM dispersion. LEM infested the first 10% of the trees in 78.6 days, with the following 90% of the infestation occurring exponentially over the next 100 days. LEM infestation level was significantly linked to the nearest affected tree within the orchard, canopy structure and tree height, suggesting a preference for short-distance (ambulatory movement) over long-distance dispersal (wind and phoresy). The progression of LEM within and between trees correlated with rising temperatures, flushing, and flowering intensity, suggests that dispersion through phoresy using pollinators may have also occurred. ‘Brewster’ was less susceptible to LEM infestation compared to ‘Mauritius’ and ‘Sweetheart’. The relevance of these findings is discussed.
Data availability
The datasets generated and analyzed during the current study are available in the figshare repository (https://doi.org/10.6084/m9.figshare.31251415).
References
Diagne, C. et al. High and rising economic costs of biological invasions worldwide. Nature 592, 571–576. https://doi.org/10.1038/s41586-021-03405-6 (2021).
Sakai, A. K. et al. The population biology of invasive species. Annu. Rev. Ecol. Evol. Syst. 32, 305–332. https://doi.org/10.1146/annurev.ecolsys.32.081501.114037 (2001).
Tobin, P. C. et al. Determinants of successful arthropod eradication programs. Biol. Invasions. 16, 401–414. https://doi.org/10.1007/s10530-013-0529-5 (2014).
de Lillo, E., Pozzebon, A., Valenzano, D. & Duso, C. An intimate relationship between eriophyoid mites and their host plants - A review. Front. Plant. Sci. 9, 1786. https://doi.org/10.3389/fpls.2018.01786 (2018).
Chetverikov, P. et al. Gallogenesis induced by eriophyoids (Acariformes: Eriophyoidea). Parazitologiia 49, 365–375. https://doi.org/10.1134/S0013873815080217 (2015).
Revynthi, A. M. et al. Evaluation of abamectin as a potential chemical control for the lychee Erinose mite (Acari: Eriophyidae), a new invasive pest in Florida. Fl Entomol. 105, 1–5. https://doi.org/10.1653/024.105.0101 (2022).
Song, Q. et al. The effect of Aceria Litchii (Keifer) infestation on the surface properties of Litchi leaf hosts. Pest Manag Sci. 80, 2647–2657. https://doi.org/10.1002/ps.7981 (2024).
Navia, D., Ochoa, R., Welbourn, C. & Ferragut, P. Adventive eriophyoid mites: a global review of their impact, pathways, prevention and challenges. Exp. Appl. Acarol. 51, 225–255. https://doi.org/10.1007/s10493-009-9327-2 (2010).
Lindquist, E. E. & Oldfield, G. N. Chapter 1.5 evolution and phylogeny 1.5.1 evolution of eriophyoid mites in relation to their host plants. In: (eds Lindquist, E. E., Sabelis, M. W. & Bruin, J.) World Crop Pests. Elsevier, 277–300 (1996).
Sabelis, M. W. & Bruin, J. 1.5.3. Evolutionary ecology: life history patterns, food plant choice and dispersal. In: (eds Lindquist, E. E., Sabelis, M. W. & Bruin, J.) World Crop Pests. Elsevier, 329–366 (1996).
Zhao, S. & Amrine, J. W. A new method for studying aerial dispersal behaviour of eriophyoid mites (Acari: Eriophyoidea). Syst. Appl. Acarol. 2, 107–110. https://doi.org/10.11158/saa.2.1.14 (1997).
Majer, A., Laska, A., Kuczyński, L. & Skoracka, A. Hitchhiking or Hang gliding? Dispersal strategies of two cereal-feeding eriophyoid mite species. Exp. Appl. Acarol. 85, 131–146. https://doi.org/10.1007/s10493-021-00661-z (2021).
Lindquist, E. E. & Bruin, J. & Sabelis M. W. Eriophyoid Mites: their biology, Natural Enemies and Control (Elsevier, 1996).
Nishida, T. & Holdaway, F. G. The Erinose mite of lychee. In Hawaii Agriculture Experiment Station; Circular No. 48; University of Hawaii (Honolulu, HI, 1955).
Pinese, B. Erinose mite—A serious Litchi pest. Queensl Agric. J. 107, 79–81 (1981).
Sharma, D. D. Major pests of Litchi in Bihar. Indian Farming. 35, 25–26 (1985).
Papademetriou, M. K. & Dent, F. J. Lychee Production in the Asia-pacific Region (FAO: Bangkok, 2002).
Waite, G. & McAlpine, J. Honey-Bees as Carriers of Lychee Erinose Mite Eriophyes litchii (Acari: Eriophyiidae). Exp. Appl. Acarol. 15, 299–302. https://doi.org/10.1007/BF01246570 (1992).
Carrillo, D. et al. Detection of the lychee Erinose mite, Aceria litchii (Keifer) (Acari: Eriophyidae) in Florida, USA: a comparison with other alien populations. Insects 11, 235. https://doi.org/10.3390/insects11040235 (2020).
Ataide, L. M. S., Della Vechia, J., Ochoa, R., Carrillo, D. & Revynthi, A. Influence of temperature on the population size of Aceria litchii (Acari: Eriophyidae) and the development of its galls. Exp. Appl. Acarol. 92, 13–25. https://doi.org/10.1007/s10493-023-00872-6 (2024).
Haque, M. M. Eriophyoid mites (Acari: Eriophyoidea) from Bangladesh. Orient. Insects. 32, 35–40. https://doi.org/10.1080/00305316.1998.10433765 (1998).
Raga, A., Miniero, J. L. C., Sato, M. E., Moraes, G. J. & Flechtmann, C. H. W. First report of Aceria Litchii (Keifer) (Prostigmata: Eriophyidae) on Litchi trees in Brazil. Rev. Bras. Frutic. 32, 628–629 (2010).
Huang, T. A. Study on morphological features of Erinose mite of Litchi (Eriophyes Litchii Keifer) and an observation on the conditions of its damage. Plant. Prot. Bull. 9, 35–46 (1967).
Keifer, H. H. Eriophyid studies XIII. State Calif. Dep Agric. Bull. 32, 212–222 (1943).
Alam, Z. M. & Wadud, M. A. On the biology of Litchi mite, Aceria Litchii Keifer (Eriophyidae: Acarina) in East Pakistan. Pak J. Sci. 15, 232–240 (1963).
Keifer, H. H. & Knorr, L. C. Eriophyid mites of Thailand. Plant Prot. Serv. Tech. Bull. (Bangkok). 38, 1–36 (1978).
Giordano, T. et al. Invasion of the Erinose mite Aceria litchii (Eriophyoidea, Eriophyidae) in Europe. Int. J. Acarol. 50, 392–394. https://doi.org/10.1080/01647954.2024.2336015 (2024).
Evans, E., Degner, R. & Morgan, K. Six ways to improve the profitability of lychee in South Florida: FE497/FE497, 11/2004. EDIS https://doi.org/10.32473/edis-fe497-2004 (2004).
Parmesan, C. & Yohe, G. A globally coherent fingerprint of climate change impacts across natural systems. Nature 421, 37–42. https://doi.org/10.1038/nature01286 (2003).
Chen, H. & Walton, A. Mountain pine beetle dispersal: Spatiotemporal patterns and role in the spread and expansion of the present outbreak. Ecosphere 2, art66. https://doi.org/10.1890/ES10-00172.1 (2011).
Travis, J. M. et al. Dispersal and species’ responses to climate change. Oikos 122, 1532–1540. https://doi.org/10.1111/j.1600-0706.2013.00399.x (2013).
Logan, J. A., White, P., Bentz, B. J. & Powell, J. A. Model analysis of Spatial patterns in mountain pine beetle outbreaks. Theor. Popul. Biol. 53, 236–255 (1998).
Ataide, L. M. S. et al. Volatile characterization of lychee plant tissues (Litchi chinensis) and the effect of key compounds on the behavior of the lychee Erinose mite (Aceria litchii). Biomolecules 13, 933. https://doi.org/10.3390/biom13060933 (2023).
van Baalen, M. & Sabelis, M. W. The Milker-Killer dilemma in spatially structured predator-prey interactions. Oikos 74, 391–400. https://doi.org/10.2307/3545984 (1995).
Pels, B. & Sabelis, M. W. Local dynamics, overexploitation and predator dispersal in an acarine predator-prey system. Oikos 86, 573–583. https://doi.org/10.2307/3546662 (1999).
Revynthi, A. M., Egas, M., Janssen, A. & Sabelis, M. W. Prey exploitation and dispersal strategies vary among natural populations of a predatory mite. Ecol. Evol. 8, 10384–10394. https://doi.org/10.1002/ece3.4446 (2018).
Revynthi, A. M., van Pol, K. E., Janssen, A. & Egas, M. Males cannibalise and females disperse in the predatory mite Phytoseiulus persimilis. Exp. Appl. Acarol. 82, 185–198. https://doi.org/10.1007/s10493-020-00552-9 (2020).
Revynthi, A. M., Verkleij, D., Janssen, A. & Egas, M. Artificial selection for timing of dispersal in predatory mites yields lines that differ in prey exploitation strategies. Ecol. Evol. 12, e8760. https://doi.org/10.1002/ece3.8760 (2022).
Michalska, K., Skoracka, A., Navia, D. & Amrine, J. W. Behavioural studies on eriophyoid mites: an overview. Exp. Appl. Acarol. 51, 31–59. https://doi.org/10.1007/s10493-009-9319-2 (2010).
Waite, G. K. New evidence further incriminates honey-bees as vectors of lychee Erinose mite Aceria litchii (Acari: Eriophyiidae). Exp. Appl. Acarol. 23, 145–147. https://doi.org/10.1023/A:1006002611074 (1999).
Crane, J. Tropical fruit production in florida: Trials, tribulations and opportunities. Proc. Fla. State Hort Soc. 131, ix–xii (2018).
R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available online: https://www.R–project.org/, (2022).
Goode, K., Rey, K. & ggResidpanel Panels and interactive versions of diagnostic plots using ‘ggplot2’. (2019).
Lenth, R. V. & emmeans Estimated marginal means, aka least-squares means. (2022).
Wickham, H. Advanced r (Chapman and Hall/CRC, 2019).
Bolker, B. M. Ecological models and data in R (Princeton University Press, 2008).
Lyles, R. H., Poindexter, C., Evans, A., Brown, M. & Cooper, C. R. Nonlinear model-based estimates of IC50 for studies involving continuous therapeutic dose–response data. Contemp. Clin. Trials. 29, 878–886 (2008).
Pinheiro, J. C. & Bates, D. M. Mixed-effects Models in S and S-PLUS (Springer New York, 2000).
Pinheiro, J., Bates, D., DebRoy, S., Sarkar, D. & R Core Team. &. nlme: Linear and Nonlinear Mixed Effects Models [R package]. CRAN. https://CRAN.R-project.org/package=nlme(2021).
Miguez, F. nlraa: Nonlinear regression for agricultural applications. R package version 1.9.11. https://femiguez.r-universe.dev/nlraa?utm_source=chatgpt.com(2023).
Wood, S. N. Generalized additive models: an introduction with R. chapman and hall/CRC. (2017).
Wikle, C. K., Zammit-Mangion, A. & Cressie, N. Spatio-temporal Statistics with R (Chapman and Hall/CRC, 2019).
Brooks, M. E. et al. GlmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling. R J. 9, 378–400 (2017).
Crawley, M. J. The R book. John Wiley & Sons, Hoboken, NJ, USA, ISBN 0-470-97392-7 (2012).
Ripley, B. et al. MASS: Support functions and datasets for Venables and ripley’s MASS (Version 7.3–60.0.1) [Computer software] https://cran.r-project.org/web/packages/MASS/index.html(2024).
Guo, J. et al. Trustees of Columbia University, Sklyar, O., Oehlschlaegel-Akiyoshi, J., Maddock, J., Bristow, P., Agrawal, N., Kormanyos, C., & Steve, B. rstan: R Interface to Stan (Version 2.32.6) [Computer software] https://CRAN.R-project.org/package=rstan(2024).
Acknowledgements
We thank FDACS-DPI for providing us with the permit, Ray Melcon for assistance with phenology data collection, and the TREC field crew for maintaining the lychee orchard.
Funding
This research was funded in part by USDA-NIFA Research Capacity Fund (Hatch) projects (Accession Numbers 7000779 and 7006818), USDA-APHIS project AP21PPQS&T00C075 and FDACS Specialty Crop Block Grant Program (30739). The findings and conclusions in this preliminary publication have not been formally disseminated by the U.S. Department of Agriculture and should not be construed to represent any Agency determination or policy. Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the USDA; USDA is an equal opportunity provider and employer.
Author information
Authors and Affiliations
Contributions
Experimental design, material preparation and data collection were performed by Livia M.S. Ataide, Jully Dutra, Marcello De Giosa, Maria A. Canon, Jaqueline F. Della Vechia, Aline D. Tassi, Paola Villamarin, Jonathan H. Crane, Daniel Carrillo, Alexandra M. Revynthi. Analyses of the data were performed by Simon Riley and Livia M.S. Ataide. The first draft of the manuscript was written by Livia M.S. Ataide and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
About this article
Cite this article
Ataide, L.M.S., Riley, S., Dutra, J. et al. Spatiotemporal infestation patterns of Aceria litchii Keifer (Acari: Eriophyidae) in a lychee orchard in South Florida. Sci Rep (2026). https://doi.org/10.1038/s41598-026-39535-y
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-026-39535-y