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生态学杂志 ›› 2021, Vol. 40 ›› Issue (12): 3800-3809.doi: 10.13292/j.1000-4890.202112.014

• 研究报告 • 上一篇    下一篇

陕西省外来植物组成与分布现状

宋兴江,张文刚,陈晓艳,刘芮伶,姚鑫,马婧昊,王佳宁,史岩,冉俊杰,安玉霞,刘刚*   

  1. (陕西师范大学生命科学学院, 西安 710119)
  • 出版日期:2021-12-10 发布日期:2022-05-10

The composition and distribution status of alien plant species in Shaanxi Province, China.

SONG Xing-jiang, ZHANG Wen-gang, CHEN Xiao-yan, LIU Rui-ling, YAO Xin, MA Jing-hao, WANG Jia-ning, SHI Yan, RAN Jun-jie, AN Yu-xia, LIU Gang*   

  1. (College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China).
  • Online:2021-12-10 Published:2022-05-10

摘要: 通过整合陕西省外来植物数据,分析了陕西省外来植物组成、来源和分布等,并分析了入侵植物种数与GDP等潜在影响因素之间的相关关系。结果表明,陕西省共有广义外来植物415种,隶属于68科268属,其中外来入侵植物132种,外来非入侵植物283种;外来植物占据的生境类型以农田和荒地为主(占所有生境类型的70%);从原产地来看,境外外来植物主要来源于欧亚大陆与美洲大陆,分别占全部外来植物的29.23%与28.83%;全省外来植物整体呈现南多北少的趋势;第三产业占比与外来入侵植物种数呈显著正相关(R2=0.42,P=0.04);单位面积人均GDP与外来入侵植物占比呈显著正相关(R2=0.60,P=0.01);单位面积人均GDP与单位面积外来入侵植物种数呈显著正相关(R2=0.41,P=0.04)。结果预示,外来入侵植物的传播与社会生产活动之间存在着密切联系。陕西省当前遭受的外来植物引入和外来植物入侵压力较大,及时构筑针对外来入侵物种的有害生物防控体系显得尤为重要。

关键词: 外来植物, 入侵植物, 分布格局, 人类活动, 陕西省

Abstract: By integrating the data of alien plant species in Shaanxi Province, we analyzed the species composition, origination, and geographical distribution of alien plant species and the correlations between the number of invasive plant species and potential influencing factors (e.g., GDP). The results showed that there were 415 generalized alien plant species in Shaanxi Province, belonging to 68 families and 268 genera, including 132 invasive species and 283 noninvasive species. The habitat types with the highest occupation by alien plants were cropland and wasteland (accounting for 70% habitats). Alien species mainly came from Eurasia and America, with species originated from these two continents accounting for 29.23% and 28.83% of all the alien species in Shaanxi Province, respectively. The spatial distribution of alien species in the province was uneven, with more alien species in the south and less in the north. There were significantly positive correlations between the percentage of tertiary sector in GDP and the number of invasive plant species (R2=0.42, P=0.04), between GDP per capita per unit area and the proportion of invasive plants in all alien plants (R2=0.60, P=0.01), and between the GDP per capita per unit area and the number of invasive alien plants per unit area (R2=0.41, P=0.04). These results indicate that anthropogenic activities facilitate the introduction and invasion processes of alien plants. Our results suggest that the risk of introduction and invasion of alien plants in Shaanxi Province is unexpectedly high, and that it is critically needed to construct a biological prevention and control system for the invasion of alien plants.

Key words: alien plant, invasive plant, distribution pattern, human activity, Shaanxi Province.