生物安全学报2016，Vol.25Issue(3)：222-228,7.DOI:10.3969/j.issn.2095-1787.2016.03.013
基于MaxEnt模型的入侵植物白花鬼针草的分布预测及适生性分析
Prediction of the potential distribution and suitability analysis of the invasive weed, Bidens alba (L.) DC
摘要
Abstract
Background] Bidens alba (L.) DC, a worst weed native to America, is widely distributed in tropical and subtropical regions of the world, but its potential distribution area in the world and China is still unclear. [Method] In this study, the MaxEnt niche model was used to predict the potential distribution of B. alba in China and the world.[Result] B. alba was mainly distributed in the tropical and subtropical regions, between 15° and 30° in both the Northern and Southern Hemispheres. Its medium and highly suitable areas are mainly concentrated in southern North America, south-central South America, southern Africa, northern Southeast Asia, and southeastern Australia. The main suitable area of B. alba in China was mainly in Guangdong, Guangxi, Hainan, Yunnan, Fujian and Taiwan. It is predicted that the suitable area of B. alba would not change significantly in the world, but could increase in China by 2070. [Conclusion] B. alba has the risk of further expansion in China.关键词
MaxEnt/白花鬼针草/潜在分布区/预测Key words
MaxEnt/Bidens alba/potential distribution area/prediction引用本文复制引用
岳茂峰,冯莉,崔烨,张纯,田兴山..基于MaxEnt模型的入侵植物白花鬼针草的分布预测及适生性分析[J].生物安全学报,2016,25(3):222-228,7.基金项目
国家科技支撑计划(2015BAD08B02)；科技部科技伙伴计划(KY201402015)；广东省农科院院长基金项目(201610) （2015BAD08B02）
