Yueyan Pan, Lumeng Xie, Ruiyan Shang, Bernard A Engel, Jingqiu Chen, Shijun Zhou, Yi Li, Zhenming Zhang, Mingxiang Zhang, Jiakai Liu
{"title":"Exotic plant species with longer seed bank longevity and lower seed dry mass are more likely to be invasive in China","authors":"Yueyan Pan, Lumeng Xie, Ruiyan Shang, Bernard A Engel, Jingqiu Chen, Shijun Zhou, Yi Li, Zhenming Zhang, Mingxiang Zhang, Jiakai Liu","doi":"10.1093/jpe/rtae040","DOIUrl":null,"url":null,"abstract":"\n Globalization of social and economic activities has led to the large-scale redistribution of plant species. It is still unclear how the traits aid the successful invasion of alien species. Here, we downloaded global plant trait data on TRY-Plant Trait Database and classified alien species in China into four groups: high, medium, need attention, and harmless according to their distribution and degree of harm to local plant communities based on existed studies. The relationship between plant functional traits and invasion level was clarified, and we established a prediction model based on plant functional traits and taxonomy. The results showed that species with smaller seeds, smaller individuals, lower special leaf area and longer seed bank longevity are more likely to be an invasive species after introduction to foreign ecosystems. In summary, exotic species with longer seedbank longevity and lower seed dry mass are more likely to be invasive in China. We also trained two predictive models to check if we can predict a species’ invasion. Combining the two model together, statistically, we could predict if a species is invasive from its traits and taxonomy with a 91.84% accuracy. This model could help local governments, managers and stakeholders to evaluate shall we introduce some plant species in China.","PeriodicalId":503671,"journal":{"name":"Journal of Plant Ecology","volume":"34 3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Plant Ecology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/jpe/rtae040","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Globalization of social and economic activities has led to the large-scale redistribution of plant species. It is still unclear how the traits aid the successful invasion of alien species. Here, we downloaded global plant trait data on TRY-Plant Trait Database and classified alien species in China into four groups: high, medium, need attention, and harmless according to their distribution and degree of harm to local plant communities based on existed studies. The relationship between plant functional traits and invasion level was clarified, and we established a prediction model based on plant functional traits and taxonomy. The results showed that species with smaller seeds, smaller individuals, lower special leaf area and longer seed bank longevity are more likely to be an invasive species after introduction to foreign ecosystems. In summary, exotic species with longer seedbank longevity and lower seed dry mass are more likely to be invasive in China. We also trained two predictive models to check if we can predict a species’ invasion. Combining the two model together, statistically, we could predict if a species is invasive from its traits and taxonomy with a 91.84% accuracy. This model could help local governments, managers and stakeholders to evaluate shall we introduce some plant species in China.