Biodiv Sci ›› 2015, Vol. 23 ›› Issue (5): 601-609. DOI: 10.17520/biods.2015083
Special Issue: 森林动态监测样地专题; 传粉生物学
• Special Feature: Forest Dynamics Monitoring • Previous Articles Next Articles
Xiaoli Hu1,3, Chia-Hao Chang-Yang2, Xiangcheng Mi3, Yanjun Du3,*(), Zhaoyang Chang1,*(
)
Received:
2015-04-07
Accepted:
2015-05-19
Online:
2015-09-20
Published:
2015-10-12
Contact:
Du Yanjun,Chang Zhaoyang
Xiaoli Hu, Chia-Hao Chang-Yang, Xiangcheng Mi, Yanjun Du, Zhaoyang Chang. Influence of climate, phylogeny, and functional traits on flowering phenology in a subtropical evergreen broad-leaved forest, East China[J]. Biodiv Sci, 2015, 23(5): 601-609.
Fig. 1 Flowering phenology in Gutianshan (GTS) subtropical evergreen forest, shown by a polar plot of mean vectors, where the vector angles represent the mean midpoint and the vector lengths represent temporal concentrations.
Fig. 2 The patterns of flowering phenology and climatic factors in Gutianshan (GTS). (A) Number of species recorded flowering by month; (B) Number of peak flowering species by month; (C) Distribution of the concentration of flowering times; (D) Patterns of average rainfall and temperature per month.
响应变量 Response variables | 回归分析 Regression | 解释变量 Explanatory variables | |||
---|---|---|---|---|---|
R2 | F | 月降雨量 Monthly average rainfall (mm) | 月均温 Monthly average temperature (℃) | ||
每月开花物种数 Monthly number of flowering species | 0.773 | 15.36 | 0.0063** | 0.015* | |
每月盛花期物种数 Monthly number of peak flowering species | 0.586 | 6.372 | 0.0102* | 0.6552NS |
Table 1 Results of multiple regression analyses between climatic factors and monthly number of flowering species or number of peak flowering species in Gutianshan subtropical evergreen forest
响应变量 Response variables | 回归分析 Regression | 解释变量 Explanatory variables | |||
---|---|---|---|---|---|
R2 | F | 月降雨量 Monthly average rainfall (mm) | 月均温 Monthly average temperature (℃) | ||
每月开花物种数 Monthly number of flowering species | 0.773 | 15.36 | 0.0063** | 0.015* | |
每月盛花期物种数 Monthly number of peak flowering species | 0.586 | 6.372 | 0.0102* | 0.6552NS |
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