Size-class effect contributes to tree species assembly through influencing dispersal in tropical forests

PLoS One. 2014 Sep 24;9(9):e108450. doi: 10.1371/journal.pone.0108450. eCollection 2014.

Abstract

We have investigated the processes of community assembly using size classes of trees. Specifically our work examined (1) whether point process models incorporating an effect of size-class produce more realistic summary outcomes than do models without this effect; (2) which of three selected models incorporating, respectively environmental effects, dispersal and the joint-effect of both of these, is most useful in explaining species-area relationships (SARs) and point dispersion patterns. For this evaluation we used tree species data from the 50-ha forest dynamics plot in Barro Colorado Island, Panama and the comparable 20 ha plot at Bubeng, Southwest China. Our results demonstrated that incorporating an size-class effect dramatically improved the SAR estimation at both the plots when the dispersal only model was used. The joint effect model produced similar improvement but only for the 50-ha plot in Panama. The point patterns results were not improved by incorporation of size-class effects using any of the three models. Our results indicate that dispersal is likely to be a key process determining both SARs and point patterns. The environment-only model and joint-effects model were effective at the species level and the community level, respectively. We conclude that it is critical to use multiple summary characteristics when modelling spatial patterns at the species and community levels if a comprehensive understanding of the ecological processes that shape species' distributions is sought; without this results may have inherent biases. By influencing dispersal, the effect of size-class contributes to species assembly and enhances our understanding of species coexistence.

Publication types

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

MeSH terms

  • China
  • Models, Theoretical
  • Panama
  • Trees / chemistry*
  • Tropical Climate*

Grants and funding

This research was supported by the National Natural Science Foundation of China (31300358), by West Light Foundation of the Chinese Academy of Sciences to Yue-Hua Hu, the National Key Basic Research Program of China (2014CB954100), by the QCAS Biotechnology Fund (GJHZ1130), the National Science and Technology Pillar Program (2008BAC39B02), and the National Science Foundation of China (31061160188, 31270453). Professor Kitching’s participation in this project was supported by Chinese Academy of Sciences Visiting Professorship, Grant number 2013T2S0029. The BCI forest dynamics research project was made possible by National Science Foundation grants to Stephen P. Hubbell: DEB-0640386, DEB-0425651, DEB-0346488, DEB-0129874, DEB-00753102, DEB-9909347, DEB-9615226, DEB-9615226, DEB-9405933, DEB-9221033, DEB-9100058, DEB-8906869, DEB-8605042, DEB-8206992, DEB-7922197, and by NSF DEB021104,021115, 0212284,0212818 and OISE 0314581, with additional support from the Center for Tropical Forest Science, the Smithsonian Tropical Research Institute, the John D. and Catherine T. MacArthur Foundation, the Mellon Foundation and the Small World Institute Fund. Numerous organizations have provided funding, principally the U.S. National Science Foundation. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. The BCI plot project is part of the Center for Tropical Forest Science, a global network of large-scale demographic tree plots. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.