[1]SONG Guang,WEN Zhong-ming,ZHENG Ying,et al.Relationships between Plant Functional Traits of Robinia Pseudoacacia and Meteorological Factors in Loess Plateau, North Shaanxi, China[J].Research of Soil and Water Conservation,2013,20(03):125-130.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
20
Number of periods:
2013 03
Page number:
125-130
Column:
Public date:
2013-06-28
- Title:
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Relationships between Plant Functional Traits of Robinia Pseudoacacia and Meteorological Factors in Loess Plateau, North Shaanxi, China
- Author(s):
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SONG Guang1, WEN Zhong-ming2, ZHENG Ying1, DING Man1
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1. College of Natural Resources and Environment, Northwest A & F University, Yangling, Shaanxi 712100, China;
2. Institute of Soil and Water Conservation, Northwest A & F University, Yangling, Shaanxi 712100, China
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- Keywords:
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plant functional traits; Robinia pseudoacacia; Loess Plateau; environmental factors; adaptive strategies
- CLC:
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S718.5
- DOI:
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- Abstract:
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To elucidate the variation in plant functional traits and adaptive strategies of Robinia Pseudoacacia on the Loess Plateau, we measured 10 plant functional traits of Robinia Pseudoacacia in 14 counties along the middle area to the north of Shaanxi province, and analyzed the relationships among these functional traits along environmental gradients. The results showed that leaf nitrogen content (LNC) and root nitrogen content (RNC) have no significant differences among 14 sampling points, while other 8 plant functional traits showed significant differences among sampling points(P < 0.05). Specific leaf area(SLA), leaf thickness(LT), leaf tissue density(LTD) and specific root length(SRL) have significant negative correlations, and root tissue density(RTD) and specific root length(SRL) has the remarkable negative correlation. Different enviromental factors had different impact on plant functional traits. It showed that mean annual precipitation has the greatest impact on plant functional traits of Robinia pseudoacacia, and followed by mean annual temperature and annual sunlight ratio according to the stepwise regression analysis.