Hu Yue-Hua, Kitching Roger L, Lan Guo-Yu, Zhang Jiao-Lin, Sha Li-Qing, Cao Min
Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, Yunnan, China.
Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, Yunnan, China; Environmental Futures Research Institute, Griffith School of the Environment, Griffith University, Nathan, QLD, Australia.
PLoS One. 2014 Sep 24;9(9):e108450. doi: 10.1371/journal.pone.0108450. eCollection 2014.
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.
我们使用树木的大小等级来研究群落组装过程。具体而言,我们的工作考察了:(1)纳入大小等级效应的点过程模型是否比无此效应的模型产生更现实的汇总结果;(2)分别纳入环境效应、扩散以及这两者联合效应的三个选定模型中,哪一个在解释物种 - 面积关系(SARs)和点分布模式方面最有用。为了进行这项评估,我们使用了来自巴拿马巴罗科罗拉多岛50公顷森林动态样地以及中国西南部布崩类似的20公顷样地的树种数据。我们的结果表明,当使用仅扩散模型时,纳入大小等级效应显著改善了两个样地的SAR估计。联合效应模型也产生了类似的改善,但仅适用于巴拿马的50公顷样地。使用这三个模型中的任何一个纳入大小等级效应,点模式结果均未得到改善。我们的结果表明,扩散可能是决定SARs和点模式的关键过程。仅环境模型和联合效应模型分别在物种水平和群落水平上有效。我们得出结论,如果要全面理解塑造物种分布的生态过程,那么在对物种和群落水平的空间模式进行建模时,使用多个汇总特征至关重要;否则结果可能存在固有偏差。通过影响扩散,大小等级效应有助于物种组装,并增进我们对物种共存的理解。