• 研究论文 •

### 海南岛尖峰岭12种热带常绿阔叶乔木展叶期与开花期对气候变化的响应

1. 1中国林业科学研究院森林生态环境与保护研究所, 北京 100091
2中国林业科学研究院热带林业研究所试验站, 海南乐东 572542
3中国林业科学研究院华北林业实验中心, 北京 102300
4河南科技大学农学院, 河南洛阳 471003
• 收稿日期:2013-12-03 接受日期:2014-02-05 出版日期:2014-06-01 发布日期:2014-06-10
• 通讯作者: 罗水兴
• 基金资助:
林业公益性行业专项(200804001)

### Responses of leaf unfolding and flowering to climate change in 12 tropical evergreen broadleaf tree species in Jianfengling, Hainan Island

XU Ge-Xi1,LUO Shui-Xing2,*(),GUO Quan-Shui1,PEI Shun-Xiang3,SHI Zuo-Min1,ZHU Li4,ZHU Ni-Ni1

1. 1Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China
2Experimental Station of Research Institute of Tropical Forestry, Chinese Academy of Forestry, Ledong, Hainan 572542, China
3Experimental Centre of Forestry in North China, Chinese Academy of Forestry, Beijing 102300, China
4Agricultural College of Henan University of Science and Technology, Luoyang, Henan 471003, China
• Received:2013-12-03 Accepted:2014-02-05 Online:2014-06-01 Published:2014-06-10
• Contact: LUO Shui-Xing

Abstract:

Aims Our objective was to determine the impacts of climate change (mainly temperature and precipitation) on the phenology of tropical evergreen forests at the community and species level.
Methods Two phenophases—the onset of leaf unfolding and the onset of first flowering—had been monitored in 12 evergreen broadleaf tree species in the tropical arboretum in Jianfengling, Hainan Island, since 2003. Observations were made on three mature and healthy individuals for each species once every two days in the same sunny direction in the afternoon by the same person. After the phenological data were collected, they transformed into the number of days from the first day of a calendar year (DOY, i.e. from 1th January). The outliers were excluded used the Grubbs principle. Meteorological data for the corresponding time period were derived from the National Climate Centre. Ultimately, the phenological and meteorological data were combined with the integrate regression method and used to identify the impacts of changing climate on the onset of leaf unfolding and the onset of first flowering in the 12 tree species and to determine their responses in the two phenophases to climate change.
Important findings Both the onset of leaf unfolding and the onset of first flowering in the tree species were affected by climate change; the starting dates of the two phenophases in nearly all the tree species were closely related to changes in monthly temperature and precipitation. The onset of leaf unfolding was affected by the monthly mean temperature of the preceding winter and spring, and the impacts became more apparent with the time approaching the occurrence of specific phenophases. Monthly precipitation in the preceding autumn had more effects on the onset of the first flowering than any other time period, in support of the hypothesis that the effect of precipitation on phenology had a hysteretic nature. Furthermore, the onset of leaf unfolding was more susceptible to climate change than the onset of first flowering in the native tree species, whereas the introduced tree species showed reversed responses. Generally, if the monthly mean temperature increases by 0.1 ℃ and the monthly precipitation increases by 10 mm in the month with the strongest effects, and given that the conditions of other 11 months preceding the occurrence of the specific phenophases remains unchanged, then most of the species would advance or delay the phenophases by about one to three days. Ultimately, the Integrate Regression method provides an effective and operational approach to understanding the dynamic and complex relationships between climate change and the phenology in tropical plants, as demonstrated by the high values of the coefficient of determination (R2≥ 0.943) for the integrate temperature and precipitation regression models for phenological predictions based on climatic factors. These models can well be used for predicting the trend of phenological changes in tropical evergreen broadleaf tree species in response to changing climate.