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

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• 作者：Ruili Wang ; Guirui Yu ; Nianpeng He ; Qiufeng Wang…
• 关键词：latitudinal pattern ; leaf morphological trait ; community weighted mean ; forest ecosystem ; North ; South Transect of Eastern China
• 刊名：Journal of Geographical Sciences
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：26
• 期：1
• 页码：15-26
• 全文大小：1,021 KB
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• 作者单位：Ruili Wang (1) (2)
  Guirui Yu (1)
  Nianpeng He (1)
  Qiufeng Wang (1)
  Ning Zhao (3)
  Zhiwei Xu (4)
  
  1. Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China
  2. University of Chinese Academy of Sciences, Beijing, 100049, China
  3. Cold and Arid Regions Environmental and Engineering Research Institute, CAS, Lanzhou, 730000, China
  4. School of Geographical Sciences, Northeast Normal University, Changchun, 130024, China
  
• 刊物主题：Physical Geography; Nature Conservation; Geographical Information Systems/Cartography; Remote Sensing/Photogrammetry;
• 出版者：Springer Berlin Heidelberg
• ISSN：1861-9568

文摘

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 mm2, 0.17 ± 0.003 mm, 20.15 ± 0.43 m2 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.