Biodiv Sci ›› 2016, Vol. 24 ›› Issue (6): 639-657.  DOI: 10.17520/biods.2015134

• Original Papers: Plant Diversity • Previous Articles     Next Articles

Detecting density dependence on tree survival in a deciduous broad- leaved forest in Baotianman National Nature Reserve

Xiaojing Liu1, Siyuan Ren2, Luxin Li2, Yongzhong Ye2, Zhiliang Yuan2, Ting Wang2,*()   

  1. 1 Baotianman National Nature Reserve Administrative Bureau, Neixiang, Henan 474350
    2 Henan Agricultural University, Zhengzhou 450002
  • Received:2016-02-15 Accepted:2016-06-06 Online:2016-06-20 Published:2016-06-20
  • Contact: Wang Ting


It has been found that density dependence plays a crucial role in determination of species distribution and coexistence, and the effect of negative density dependence also plays an important part among phylogenetically related species. Based on two census datasets in 2009 and 2014 of the 1-ha deciduous broad- leaved forest plot in Baotianman National Nature Reserve, generalized linear mixed models (GLMMs) were used to examine the density dependence on individual survival of the top 11 species (with high important value) at different neighborhood scales and different DBH sizes (1 cm ≤ DBH< 5 cm, 5 cm ≤ DBH < 10 cm, DBH ≥ 10 cm). The results showed that (1) mean annual mortality and recruitment rate of individuals (DBH ≥ 1 cm) were 5.85% and 0.27%, respectively; (2) survival rate of 5 tree species was negatively correlated with abundance or neighbor conspecific basal area; (3) density dependence and phylogenetic diversity exerted significant effects on survival of small individuals (at 5 m neighborhood scale), whereas no significant influence on medium trees. With increasing tree size, phylogenetic diversity exerted important effect on large individuals at 7.5 m and 10 m neighborhood scales. In conclusion, density dependence and phylogenetic diversity play different roles on tree survival at different life stages and neighborhood scales in the deciduous broad-leaved forest in Baotianman National Nature Reserve.

Key words: density dependence, generalized linear mixed models (GLMMs), neighborhood analysis, phylogenetic density dependence