Socioeconomics drive woody invasive plant richness in New England, USA through forest fragmentation

详细信息    查看全文

• 作者：Jenica M. Allen (1)
  Thomas J. Leininger (2)
  James D. Hurd Jr. (3)
  Daniel L. Civco (3)
  Alan E. Gelfand (2)
  John A. Silander Jr. (1)
  
• 关键词：Northeastern United States ; Invasive Plant Atlas of New England ; IPANE ; Alien invasive species ; Exotic plants ; Social ; ecological ; Land use/land cover
• 刊名：Landscape Ecology
• 出版年：2013
• 出版时间：November 2013
• 年：2013
• 卷：28
• 期：9
• 页码：1671-1686
• 全文大小：
• 作者单位：Jenica M. Allen (1)
  Thomas J. Leininger (2)
  James D. Hurd Jr. (3)
  Daniel L. Civco (3)
  Alan E. Gelfand (2)
  John A. Silander Jr. (1)
  
  1. Department of Ecology and Evolutionary Biology, University of Connecticut, 75 North Eagleville Road, Unit 3043, Storrs, CT, 06269-3043, USA
  2. Department of Statistical Science, Duke University, Box 90251, Durham, NC, 27708-0251, USA
  3. Department of Natural Resources and the Environment, University of Connecticut, 1376 Storrs Road, Unit 4087, Storrs, CT, 06269-4087, USA
  
• ISSN：1572-9761

文摘

Woody invasive plants are an increasing component of the New England flora. Their success and geographic spread are mediated in part by landscape characteristics. We tested whether woody invasive plant richness was higher in landscapes with many forest edges relative to other forest types and explained land use/land cover and forest fragmentation patterns using socioeconomic and physical variables. Our models demonstrated that woody invasive plant richness was higher in landscapes with more edge forest relative to patch, perforated, and especially core forest types. Using spatially-explicit, hierarchical Bayesian, compositional data models we showed that infrastructure and physical factors, including road length and elevation range, and time-lagged socioeconomic factors, primarily population, help to explain development and forest fragmentation patterns. Our social–ecological approach identified landscape patterns driven by human development and linked them to increased woody plant invasions. Identifying these landscape patterns will aid ongoing efforts to use current distribution patterns to better predict where invasive species may occur in unsampled regions under current and future conditions.