4.4 Article

Socio-environmental drivers of establishment of Lymantria dispar, a nonnative forest pest, in the United States

期刊

BIOLOGICAL INVASIONS
卷 24, 期 1, 页码 157-173

出版社

SPRINGER
DOI: 10.1007/s10530-021-02637-x

关键词

Invasion; Eradication; Pest risk; Pest introduction; Establishment; Invasibility; Propagule pressure; Invasion spread

资金

  1. USDA Forest Service
  2. OP RDE [EVA4.0, CZ.02.1.01/0.0/0.0/16_019/0000803]
  3. National Science Foundation [DEB-1556111]

向作者/读者索取更多资源

Geographical variation in the likelihood of biological invasions is influenced by propagule pressure and habitat suitability driven by ecological and social processes. By using eradication programs as proxies for new establishment events, it was found that socio-environmental factors such as human population size, climate, and availability of host trees significantly affect the probability of L. dispar arrival and establishment.
Geographical variation in the likelihood of biological invasions can be affected by propagule pressure and habitat suitability, which are driven by ecological and social processes. Past studies have empirically quantified the role of drivers by comparing geographical variation in numbers of invading species with variation in candidate factors; however, lack of data has limited empirical studies for individual species. Lymantria dispar (L.), a nonnative forest pest formerly known as gypsy moth, is an exemplar species for exploring invasion drivers because of extensive records on its spread. Since its establishment in eastern United States in 1869, it has been repeatedly introduced into outlying areas, prompting 325 eradication programs from 1972 to 2014. We used these eradication programs as proxies for new establishment events, with the assumption that populations would have established in the absence of eradication treatments. These proxy events were used to quantify the effects of socio-environmental factors on the probability of L. dispar arrival and establishment. Establishment probability was significantly affected by propagule pressure (distance to the previously invaded area, human population size, and the area of source outbreaks) and habitat suitability (climate and availability of host trees). The statistical model developed here can be used to predict invasions and inform surveillance strategies to more efficiently manage these invasions.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据