2022
DOI: 10.3390/plants11233248
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Increased Invasion Risk of Tagetes minuta L. in China under Climate Change: A Study of the Potential Geographical Distributions

Abstract: Tagetes minuta L., a member of the Tageftes genus belonging to the Asteraceae family, is a well-documented exotic plant native to South America that has become established in China. In this study, 784 occurrence records and 12 environmental variables were used to predict the potential geographical distributions (PGDs) of T. minuta under current and future climatic changes using an optimized MaxEnt model. The results showed that (1) three out of the twelve variables contributed the most to the model performance… Show more

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Cited by 3 publications
(2 citation statements)
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“…The MaxEnt model has been employed with considerable success in the delineation of protected areas for endangered and relict species [17,18], the mapping of invasive species distributions [19,20], crop-designated geographical indications [21,22], and plant disease control [23]. The objective of this study was to determine the intra-and inter-species impacts of GCC on the four species of Trollius in ITAP.…”
Section: Introductionmentioning
confidence: 99%
“…The MaxEnt model has been employed with considerable success in the delineation of protected areas for endangered and relict species [17,18], the mapping of invasive species distributions [19,20], crop-designated geographical indications [21,22], and plant disease control [23]. The objective of this study was to determine the intra-and inter-species impacts of GCC on the four species of Trollius in ITAP.…”
Section: Introductionmentioning
confidence: 99%
“…Predictive modeling of the invasiveness and potential geographical distributions was developed for several widespread vascular plants: Pueraria montana (Fabaceae) [9] and Impatiens glandulifera (Balsaminaceae) [10] in North America and Tagetes minuta [11], Ageratina adenophora [12], and Ambrosia artemisiifolia [13] (all Asteraceae) in China. These models allow habitat suitability to be calculated for the invasive taxa and long-term projections of invasions to be made, thus helping to monitor and manage their spread in areas of concern.…”
mentioning
confidence: 99%