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Increasing liana abundance and biomass in tropical forests: emerging patterns and putative mechanisms

期刊

ECOLOGY LETTERS
卷 14, 期 4, 页码 397-406

出版社

WILEY
DOI: 10.1111/j.1461-0248.2011.01590.x

关键词

CO2; disturbance; drought; global change; land use change; liana increases; structural changes; tropical forests

类别

资金

  1. NSF [DEB-0613666, NSF DEB-0845071, NSF DEB-1019436]
  2. Dutch NWO
  3. Wageningen University
  4. University of Wisconsin - Milwaukee Research Growth Initiative
  5. Direct For Biological Sciences
  6. Division Of Environmental Biology [0845071] Funding Source: National Science Foundation
  7. Direct For Biological Sciences
  8. Division Of Environmental Biology [1019436] Funding Source: National Science Foundation

向作者/读者索取更多资源

P>Tropical forests are experiencing large-scale structural changes, the most apparent of which may be the increase in liana (woody vine) abundance and biomass. Lianas permeate most lowland tropical forests, where they can have a huge effect on tree diversity, recruitment, growth and survival, which, in turn, can alter tree community composition, carbon storage and carbon, nutrient and water fluxes. Consequently, increasing liana abundance and biomass have potentially profound ramifications for tropical forest composition and functioning. Currently, eight studies support the pattern of increasing liana abundance and biomass in American tropical and subtropical forests, whereas two studies, both from Africa, do not. The putative mechanisms to explain increasing lianas include increasing evapotranspirative demand, increasing forest disturbance and turnover, changes in land use and fragmentation and elevated atmospheric CO2. Each of these mechanisms probably contributes to the observed patterns of increasing liana abundance and biomass, and the mechanisms are likely to be interrelated and synergistic. To determine whether liana increases are occurring throughout the tropics and to determine the mechanisms responsible for the observed patterns, a widespread network of large-scale, long-term monitoring plots combined with observational and manipulative studies that more directly investigate the putative mechanisms are essential.

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