Latitudinal variation of leaf morphological traits from species to communities along a forest transect in eastern China

被引:45
|
作者
Wang Ruili [1 ,2 ]
Yu Guirui [1 ]
He Nianpeng [1 ]
Wang Qiufeng [1 ]
Zhao Ning [3 ]
Xu Zhiwei [4 ]
机构
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China
[4] NE Normal Univ, Sch Geog Sci, Changchun 130024, Peoples R China
基金
中国国家自然科学基金;
关键词
latitudinal pattern; leaf morphological trait; community weighted mean; forest ecosystem; North-South Transect of Eastern China; PLANT; DISTRIBUTIONS; PREDICTOR; GRADIENT; CLIMATE; AREA; MASS;
D O I
10.1007/s11442-016-1251-x
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Comprehensive information on geographic patterns of leaf morphological traits in Chinese forests is still scarce. To explore the spatial patterns of leaf traits, we investigated leaf area (LA), leaf thickness (LT), specific leaf area (SLA), and leaf dry matter content (LDMC) across 847 species from nine typical forests along the North-South Transect of Eastern China (NSTEC) between July and August 2013, and also calculated the community weighted means (CWM) of leaf traits by determining the relative dominance of each species. Our results showed that, for all species, the means ( SE) of LA, LT, SLA, and LDMC were 2860.01 +/- 135.37 mm(2), 0.17 +/- 0.003 mm, 20.15 +/- 0.43 m(2) kg(-1),. and 316.73 +/- 3.81 mg g(-1), respectively. Furthermore, latitudinal variation in leaf traits differed at the species and community levels. Generally, at the species level, SLA increased and LDMC decreased as latitude increased, whereas no clear latitudinal trends among LA or LT were found, which could be the result of shifts in plant functional types. When scaling up to the community level, more significant spatial patterns of leaf traits were observed (R-2 = 0.46-0.71), driven by climate and soil N content. These results provided synthetic data compilation and analyses to better parameterize complex ecological models in the future, and emphasized the importance of scaling-up when studying the biogeographic patterns of plant traits.
引用
收藏
页码:15 / 26
页数:12
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