The effect of environmental filtering on variation in functional diversity along a tropical elevational gradient

被引:42
|
作者
Ding, Yi [1 ,2 ]
Zang, Runguo [1 ,2 ]
Lu, Xinghui [3 ]
Huang, Jihong [1 ,2 ]
Xu, Yue [1 ,2 ]
机构
[1] Chinese Acad Forestry, Res Inst Forest Ecol Environm & Protect, Beijing 100091, Peoples R China
[2] Nanjing Forestry Univ, Coinnovat Ctr Sustainable Forestry Southern Chin, Nanjing, Jiangsu, Peoples R China
[3] Liaocheng Univ, Sch Agron, Liaocheng, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
assembly; drought; environmental gradients; functional traits; habitat stress; null model; resource acquisition; species diversity; tropical forests; PHYLOGENETIC DIVERSITY; WOOD DENSITY; COMMUNITY; TRAIT; COEXISTENCE; MECHANISMS; RESPONSES; PATTERNS; REVEALS; EXTENT;
D O I
10.1111/jvs.12786
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Questions Elevational gradients encompass multiple resource or non-resource stressors, but how these different gradients drive functional structure is not well understood. Abiotic variables and functional traits were sampled along a 1,400 m tropical elevational gradient to answer the following questions: (a) how do the functional diversity and functional structure of tree communities change with environment; (b) how does the different assembly vary along the elevational gradient? Location Tropical forests on Hainan Island, South China. Methods Along an elevational gradient from 180 m to 1,521 m, sixty 0.05-ha transects were established. We recorded all woody stems >= 5 cm dbh (diameter at breast height) and measured functional traits and soil features in each transect. The patterns of abiotic variables, functional diversity and community-weighted mean (CWM) of functional traits were explored along the elevational gradient by using a regression model. The assembly along the elevational gradient was compared with a null model that shuffled species identities. Results The functional richness (FRic), functional dispersion (FDis) and CWMs of specific leaf area, leaf phosphorus and nitrogen content decreased with increasing elevation, as well as with the first axis of the principal components analysis (PCA1) of abiotic variables. The CWMs of leaf dry matter content and maximum height did not show significant change with elevational change, but the CWM of maximum height increased with PCA1. Both FRic and FDis became less divergent and more convergent with increasing elevation and with PCA1, which differed from the predicted outcome under the null model. Conclusions All these observations support that environmental filtering selects species with either acquisitive or conservative strategies at low elevations, but it only selects species with conservative strategies at high elevations. The presence of different stressors, resources (water) and non-resources (temperature and pH) leads to distinct community assemblages with different functional structures.
引用
收藏
页码:973 / 983
页数:11
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