详细信息
Multiple mechanisms underlie rapid expansion of an invasive alien plant ( SCI-EXPANDED收录)
文献类型:期刊文献
英文题名:Multiple mechanisms underlie rapid expansion of an invasive alien plant
作者:Wang, Rui[1,2];Wang, Jin-Feng[3];Qiu, Zhi-Jing[2];Meng, Bin[4];Wan, Fang-Hao[1];Wang, Yin-Zheng[2]
第一作者:Wang, Rui
通讯作者:Wan, FH[1]
机构:[1]Chinese Acad Agr Sci, Inst Plant Protect, State Key Lab Biol Plant Dis & Insect Pests, Beijing 100094, Peoples R China;[2]Chinese Acad Sci, Inst Bot, State Key Lab Systemat & Evolutionary Bot, Beijing 100093, Peoples R China;[3]Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China;[4]Beijing Union Univ, Coll Arts & Sci, Beijing 100083, Peoples R China
第一机构:Chinese Acad Agr Sci, Inst Plant Protect, State Key Lab Biol Plant Dis & Insect Pests, Beijing 100094, Peoples R China
通讯机构:[1]corresponding author), Chinese Acad Agr Sci, Inst Plant Protect, State Key Lab Biol Plant Dis & Insect Pests, Beijing 100094, Peoples R China.
年份:2011
卷号:191
期号:3
起止页码:828-839
外文期刊名:NEW PHYTOLOGIST
收录:;Scopus(收录号:2-s2.0-79960560734);WOS:【SCI-EXPANDED(收录号:WOS:000292924600021)】;
基金:The authors are indebted to Dr Claude Lavoie and anonymous referees for valuable comments on this manuscript. The authors thank the following institutions and people for their help in field investigation and for providing invasion information: PE (Chinese National Herbarium, Institute of Botany, Chinese Academy Sciences); KUN (Herbarium of Kunming Institute of Botany, Chinese Academy Sciences); Wen-Long Gou, General Station on Grassland Husbandry of Sichuan province; Yong Liu, Liangshan District Grassland experiment Station; Jun-wei Ma, Animal Husbandry Bureau of Leshan city; Xiao-Jun Fu, Animal Husbandry Bureau of Muchuan county; Wen-Jin Li, Animal Husbandry Bureau of Leibo county; Hei-Ze Sha-Ma, Animal Husbandry Bureau of Zhaojue county; Wu-Niu A-Xi, Animal Husbandry Bureau of Meigu county; Jia-Yong Zhang, Animal Husbandry Bureau of Yibin city; Xiang-Hua Liu, Animal Husbandry Bureau of Jinyang county; Zai-Fu Chen, Animal Husbandry Bureau of Xide county; Feng Ma, Animal Husbandry Bureau of Butuo county; Animal Husbandry Bureau of Muli county; Xie Jie, Animal Husbandry Bureau of Qianwei county; Hua Li, Animal Husbandry Bureau of Pingshan county; Animal Husbandry Bureau of Ganluo county; Animal Husbandry Bureau of Shimian county. This research was supported by the National Basic Research and Development Program of China (973 Program 2009CB119200), and the National Nature Science Foundation of China (31000883).
语种:英文
外文关键词:Ageratina adenophora; Hengduan Mountains; multiple mechanisms; rapid invasion; Yangtze River
摘要:With growing concerns over serious ecological problems, a particular challenge is to reveal the complex mechanisms underlying rapid expansion of invasive species. Ageratina adenophora is of particular interest in addressing this question. We used geographic information systems and logistic regression to identify the geographic and environmental factors contributing to the presence of A. adenophora. Join-count spatial statistics with reproduction mode examination were employed to elucidate the spatiotemporal dispersal mechanisms. Multiple factors have significantly contributed to the rapid expansion of A. adenophora. Its biological traits, favoring dispersal by water and wind coupled with local spatiotemporally heterogeneous geography and ecology, promote invasion downstream and upstream along river valleys, while other factors associated with human activities facilitate its invasion over high mountains and across river valleys, providing new scope for progressive invasions. We further identified an unusual invasion event of A. adenophora subsequent to a great flood that amplified its dispersal ability from vegetative propagules and seeds. These findings suggest that dynamic interactions of multiple factors in heterogeneous ecogeographical environments - a 'combinatorial' invasion mechanism would generate an unexpected invasion rate of an alien species or a seemingly stochastic invasion event.
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