Future geographical distribution of Aedes albopictus in China under climate change scenarios

PLOS One | https://doi.org/10.1371/journal.pone.0327818 August 6, 2025 13 / 14 6. Alderton S, Macleod ET, Anderson NE, Machila N, Simuunza M, Welburn SC, et al. Exploring the effect of human and animal population growth on vector-borne disease transmission with an agent-based model of Rhodesian human African trypanosomiasis in eastern province, Zambia. PLoS Negl Trop Dis. 2018;12(11):e0006905. https://doi.org/10.1371/journal.pntd.0006905 PMID: 30408045 7. Oberlin AM, Wylie BJ. Vector-borne disease, climate change and perinatal health. Semin Perinatol. 2023;47(8):151841. https://doi.org/10.1016/j. semperi.2023.151841 PMID: 37852894 8. Lu X, Bambrick H, Frentiu FD, Huang X, Davis C, Li Z, et al. Species-specific climate suitable conditions index and dengue transmission in Guang- dong, China. Parasit Vectors. 2022;15(1):342. https://doi.org/10.1186/s13071-022-05453-x PMID: 36167577 9. Feng X, Jiang N, Zheng J, Zhu Z, Chen J, Duan L, et al. Advancing knowledge of One Health in China: lessons for One Health from China’s den- gue control and prevention programs. Sci One Health. 2024;3:100087. https://doi.org/10.1016/j.soh.2024.100087 PMID: 39641122 10. Ningsih AP, Sari TB, Sudirham, Makkau BA, Indirwan D. Climate change and one health approach. J Public Health (Oxf). 2023;46(2):e359. https:// doi.org/10.1093/pubmed/fdad272 PMID: 38105502 11. Laporta GZ, Potter AM, Oliveira JFA, Bourke BP, Pecor DB, Linton Y-M. Global distribution of Aedes aegypti and Aedes albopictus in a climate

change scenario of regional rivalry. Insects. 2023;14(1):49. https://doi.org/10.3390/insects14010049 PMID: 36661976 12. Reinhold JM, Lazzari CR, Lahondere C. Effects of the environmental temperature on Aedes aegypti and Aedes albopictus mosquitoes: A review. Insects. 2018;9(4):158. 13. Singh P, Kumar P, Pande V, Kumar V, Dhiman RC. Untargeted metabolomics-based response analysis of temperature and insecticide exposure in Aedes aegypti. Sci Rep. 2022;12(1):2066. https://doi.org/10.1038/s41598-022-05630-z PMID: 35136077 14. Zapletal J, Erraguntla M, Adelman ZN, Myles KM, Lawley MA. Impacts of diurnal temperature and larval density on aquatic development of Aedes aegypti. PLoS One. 2018;13(3):e0194025. https://doi.org/10.1371/journal.pone.0194025 PMID: 29513751 15. Roise A, Wallace D. Temperature-dependent population dynamics for Aedes aegypti in outdoor, indoor, and enclosed habitats: a mathematical model for five North American cities. Bull Entomol Res. 2022;112(6):777–95. https://doi.org/10.1017/S0007485322000189 PMID: 35475477 16. Mercier A, Obadia T, Carraretto D, Velo E, Gabiane G, Bino S, et al. Impact of temperature on dengue and chikungunya transmission by the mos- quito Aedes albopictus. Sci Rep. 2022;12(1):6973. https://doi.org/10.1038/s41598-022-10977-4 PMID: 35484193 17. Rodrigues J, Catão AML, Dos Santos AS, Paixão FRS, Santos TR, Martinez JM, et al. Relative humidity impacts development and activity against Aedes aegypti adults by granular formulations of Metarhizium humberi microsclerotia. Appl Microbiol Biotechnol. 2021;105(7):2725–36. https://doi.

org/10.1007/s00253-021-11157-6 PMID: 33745009 18. Canyon DV, Hii JLK, Müller R. Adaptation of Aedes aegypti (Diptera: Culicidae) oviposition behavior in response to humidity and diet. J Insect Physiol. 1999;45(10):959–64. https://doi.org/10.1016/s0022-1910(99)00085-2 PMID: 12770289 19. Alto BW, Juliano SA. Precipitation and temperature effects on populations of Aedes albopictus (Diptera: Culicidae): implications for range expan- sion. J Med Entomol. 2001;38(5):646–56. https://doi.org/10.1603/0022-2585-38.5.646 PMID: 11580037 20. Newman EA, Feng X, Onland JD, Walker KR, Young S, Smith K, et al. Defining the roles of local precipitation and anthropogenic water sources in driving the abundance of Aedes aegypti, an emerging disease vector in urban, arid landscapes. Sci Rep. 2024;14(1):2058. https://doi.org/10.1038/ s41598-023-50346-3 PMID: 38267474 21. Takahashi LT, Maidana NA, Ferreira WC Jr, Pulino P, Yang HM. Mathematical models for the Aedes aegypti dispersal dynamics: travelling waves by wing and wind. Bull Math Biol. 2005;67(3):509–28. https://doi.org/10.1016/j.bulm.2004.08.005 PMID: 15820740 22. Thuiller W, Lafourcade B, Engler R, Araújo MB. BIOMOD-a platform for ensemble forecasting of species distributions. Ecography. 2009;32(3):369–73. 23. Zhao G, Cui X, Sun J, Li T, Wang Q, Ye X, et al. Analysis of the distribution pattern of Chinese Ziziphus jujuba under climate change based on optimized biomod2 and MaxEnt models. Ecol Indic. 2021;132:108256.

24. Huang Y, Li T, Chen W, Zhang Y, Xu Y, Guo T, et al. Analysis of the distribution pattern of Phenacoccus manihoti in China under climate change based on the biomod2 model. Biology (Basel). 2024;13(7):538. https://doi.org/10.3390/biology13070538 PMID: 39056731 25. Huang D, An Q, Huang S, Tan G, Quan H, Chen Y, et al. Biomod2 modeling for predicting the potential ecological distribution of three Fritillaria species under climate change. Sci Rep. 2023;13(1):18801. 26. Liu L, Guan LL, Zhao HX, Huang Y, Mou QY, Liu K, et al. Modeling habitat suitability of Houttuynia cordata Thunb (Ceercao) using MaxEnt under climate change in China. Ecol Inform. 2021;63(4):101324. 27. Yang K, Zhao XP, Zhang X, Zhu D. Prediction of potential distribution of Mongolian medicine Panzerina lanata var. alaschanica based on MaxEnt niche model. J Chin Med Mater. 2021;44(8):1827–31. 28. Wang R, Xia Y, Shen Z, Wang Y, Zhou X, Xiang M, et al. Genetic diversity analysis and potential suitable habitat of Chuanminshen violaceum for climate change. Ecol Inform. 2023;77:102209. https://doi.org/10.1016/j.ecoinf.2023.102209 29. Warren DL, Matzke NJ, Cardillo M, Baumgartner JB, Beaumont LJ, Turelli M, et al. ENMTools 1.0: an R package for comparative ecological bioge- ography. Ecography. 2021;44(4):504–11. 30. Fick SE, Hijmans RJ. WorldClim 2: new 1km spatial resolution climate surfaces for global land areas. Int J Climatol. 2017;37(12):4302–15. 31. Riahi K, van Vuuren DP, Kriegler E, Edmonds J, O’Neill BC, Fujimori S. The shared socioeconomic pathways and their energy, land use, and

greenhouse gas emissions implications: An overview. Glob Environ Change. 2017;42:153–68.