Models of experimentally derived competitive effects predict biogeographical differences in the abundance of invasive and native plant species

PLoS One. 2013 Nov 12;8(11):e78625. doi: 10.1371/journal.pone.0078625. eCollection 2013.

Abstract

Mono-dominance by invasive species provides opportunities to explore determinants of plant distributions and abundance; however, linking mechanistic results from small scale experiments to patterns in nature is difficult. We used experimentally derived competitive effects of an invader in North America, Acroptilon repens, on species with which it co-occurs in its native range of Uzbekistan and on species with which it occurs in its non-native ranges in North America, in individual-based models. We found that competitive effects yielded relative abundances of Acroptilon and other species in models that were qualitatively similar to those observed in the field in the two ranges. In its non-native range, Acroptilon can occur in nearly pure monocultures at local scales, whereas such nearly pure stands of Acroptilon appear to be much less common in its native range. Experimentally derived competitive effects of Acroptilon on other species predicted Acroptilon to be 4-9 times more proportionally abundant than natives in the North American models, but proportionally equal to or less than the abundance of natives in the Eurasian models. Our results suggest a novel way to integrate complex combinations of interactions simultaneously, and that biogeographical differences in the competitive effects of an invader correspond well with biogeographical differences in abundance and impact.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Asteraceae / growth & development*
  • Biodiversity
  • Extinction, Biological
  • Geography*
  • Introduced Species / statistics & numerical data*
  • Models, Biological*
  • Time Factors

Grants and funding

RMC thanks the International Programs at The University of Montana, the U.S. National Science Foundation DEB 0614406, and NSF EPSCoR for support. SX thanks the State Key Program of National Natural Science of China (31230014, 40930533), the National Natural Science Foundation of China (31270472, 31070357, 31000203 and 31000178), and the Central University special fund basic research and operating expenses of China (lzujbky-2013-101). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.