Predicting the potential global distribution of Ixodes pacificus under climate change
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7. Liu QY. Impact of climate change on vector-borne diseases and related response strategies in China: Major research findings and recommendations for future research [J]. Chin J Vector Biol Control, 2021, 32(1): 1–11. https://doi.org/10.11853/j.issn.1003.8280.2021.01.001 (in Chinese) 8. Fordham DA, Bertelsmeier C, Brook BW, Early R, Neto D, Brown SC, et al. How complex should mod- els be? Comparing correlative and mechanistic range dynamics models. Glob Chang Biol. 2018 Mar; 24(3):1357–1370. https://doi.org/10.1111/gcb.13935 Epub 2017 Nov 20. PMID: 29152817 9. Cai JY, Zhang MM, Li HJ, Zhang HB. Application of Ecological Niche Models for Selection of Species Habitat [J]. J Eco Anim, 2014, 18(1): 47⁃52, 58. https://doi.org/10.13326/j.jea.2014.0012 (in Chinese) 10. Tourinho L, Vale MM. Choosing among correlative, mechanistic, and hybrid models of species’ niche and distribution. Integr Zool. 2023 Jan; 18(1):93–109. https://doi.org/10.1111/1749-4877.12618 Epub 2022 Jan 21. PMID: 34932894 11. Gao X, Liu J, Huang Z. The impact of climate change on the distribution of rare and endangered tree Firmiana kwangsiensis using the Maxent modeling. Ecol Evol. 2022 Jul 29; 12(8): e9165. https://doi. org/10.1002/ece3.9165 PMID: 35919389 12. Duan RY, Kong XQ, Huang MY, Fan WY, Wang ZG. The predictive performance and stability of six spe- cies distribution models. PLoS One. 2014 Nov 10; 9(11): e112764. https://doi.org/10.1371/journal. pone.0112764 PMID: 25383906 13. Escobar LE, Lira-Noriega A, Medina-Vogel G, Townsend Peterson A. Potential for spread of the white-
nose fungus (Pseudogymnoascus destructans) in the Americas: use of Maxent and NicheA to assure strict model transference. Geospat Health. 2014 Nov; 9(1):221–9. https://doi.org/10.4081/gh.2014.19 PMID: 25545939 14. Soucy JR, Slatculescu AM, Nyiraneza C, Ogden NH, Leighton PA, Kerr JT, et al. High-Resolution Eco- logical Niche Modeling of Ixodes scapularis Ticks Based on Passive Surveillance Data at the Northern Frontier of Lyme Disease Emergence in North America. Vector Borne Zoonotic Dis. 2018 May; 18 (5):235–242. https://doi.org/10.1089/vbz.2017.2234 Epub 2018 Mar 22. PMID: 29565748 15. Shcheglovitova Mariya, and Anderson Robert P. Estimating optimal complexity for ecological niche models: a jackknife approach for species with small sample sizes. Ecological Modelling 269 (2013): 9– 17. https://doi.org/10.1016/j.ecolmodel.2013.08.011 16. Estrada-Peña A. Ticks as vectors: taxonomy, biology and ecology. Rev Sci Tech. 2015 Apr; 34(1):53– 65. https://doi.org/10.20506/rst.34.1.2345 PMID: 26470449 17. Estrada-Peña A, de la Fuente J. The ecology of ticks and epidemiology of tick-borne viral diseases. Antiviral Res. 2014 Aug; 108:104–28. https://doi.org/10.1016/j.antiviral.2014.05.016 Epub 2014 Jun 9. PMID: 24925264 18. Eisen RJ, Eisen L, Ogden NH, Beard CB. Linkages of Weather and Climate with Ixodes scapularis and Ixodes pacificus (Acari: Ixodidae), Enzootic Transmission of Borrelia burgdorferi, and Lyme Disease in North America. J Med Entomol. 2016 Mar; 53(2):250–61. https://doi.org/10.1093/jme/tjv199 PMID: 26681789
19. Eisen RJ, Feirer S, Padgett KA, Hahn MB, Monaghan AJ, Kramer VL, et al. Modeling Climate Suitability of the Western Blacklegged Tick in California. J Med Entomol. 2018 Aug 29; 55(5):1133–1142. https:// doi.org/10.1093/jme/tjy060 PMID: 29697837 20. Eisen RJ, Eisen L, Beard CB. County-Scale Distribution of Ixodes scapularis and Ixodes pacificus (Acari: Ixodidae) in the Continental United States. J Med Entomol. 2016 Mar; 53(2):349–86. https://doi. org/10.1093/jme/tjv237 PMID: 26783367 21. Porter WT, Barrand ZA, Wachara J, DaVall K, Mihaljevic JR, Pearson T, et al. Predicting the current and future distribution of the western black-legged tick, Ixodes pacificus, across the Western US using citizen science collections. PLoS One. 2021 Jan 5; 16(1): e0244754. https://doi.org/10.1371/journal. pone.0244754 PMID: 33400719 22. MacDonald AJ. Abiotic and habitat drivers of tick vector abundance, diversity, phenology and human encounter risk in southern California. PLoS One. 2018 Jul 31; 13(7): e0201665. https://doi.org/10.1371/ journal.pone.0201665 PMID: 30063752 23. Alkishe A, Raghavan RK, Peterson AT. Likely Geographic Distributional Shifts among Medically Impor- tant Tick Species and Tick-Associated Diseases under Climate Change in North America: A Review. Insects. 2021 Mar 5; 12(3):225. https://doi.org/10.3390/insects12030225 PMID: 33807736 24. Hahn MB, Feirer S, Monaghan AJ, Lane RS, Eisen RJ, Padgett KA, et al. Modeling future climate suit- ability for the western blacklegged tick, Ixodes pacificus, in California with an emphasis on land access
and ownership. Ticks Tick Borne Dis. 2021 Sep; 12(5):101789. https://doi.org/10.1016/j.ttbdis.2021. 101789 Epub 2021 Jul 13. PMID: 34280699 25. Witmer FDW, Nawrocki TW, Hahn M. Modeling Geographic Uncertainty in Current and Future Habitat for Potential Populations of Ixodes pacificus (Acari: Ixodidae) in Alaska. J Med Entomol. 2022 May 11; 59(3):976–986. https://doi.org/10.1093/jme/tjac001 PMID: 35134194 PLOS ONE Prediction of the distribution of Ixodes pacificus PLOS ONE | https://doi.org/10.1371/journal.pone.0309367 August 27, 2024 17 / 18