Crown and leaf traits as predictors of subtropical tree sapling growth rates
Crown and leaf traits as predictors of subtropical tree sapling growth rates
复制标题
DOI：
10.1093/jpe/rtw041
复制
发表时间：
2017-02
影响因子：
2.7
通讯作者：
Ying Li;W. Kröber;H. Bruelheide;W. Härdtle;G. von Oheimb
中科院分区：
文献类型：
--
作者：
Ying Li;W. Kröber;H. Bruelheide;W. Härdtle;G. von Oheimb
植物的生长速度受影响资源捕获量和资源利用效率的因素的驱动。在树木中，光的捕获量和光的利用效率在很大程度上取决于树冠特征和叶片特征。尽管理论预测树冠和叶片性状都会影响树木的生长，但很少有研究将这两种性状结合起来来解释物种特异性的生长速度。以中国东南部亚热带阔叶林37种阔叶树为研究对象，研究了树冠和叶片性状对木材体积生长率的影响。我们验证了以下假设：(1)更大的冠维促进生长速率；(2)种特异性生长速率与叶片气孔导度、叶片水势和叶片化学成分正相关，与叶片C/N和叶片韧性负相关；(3)这两组性状联合使用比单独使用更能解释生长速率。本研究在中国大型森林生物多样性和生态系统功能实验（BEF-China）中进行，实验地点位于江西省的一个山区。我们将17个功能性状（2个树冠尺寸和3个树冠结构性状，6个生理性状和6个叶片形态性状）与幼树木材体积的年平均生长率联系起来。利用主成分分析法分析了冠、叶性状间的相互关系。采用简单线性回归分析分别检验各性状的影响。利用多元回归分析，建立了生长速率与各性状（冠状性状、叶片生理和形态性状）及各性状组合的关系。比较了最佳多元回归模型的决定系数（R 2adj），确定了冠、叶性状及其组合的相对解释力。
Aims Growth rates of plants are driven by factors that influence the amount of resources captured and the efficiency of resource use. In trees, the amount of light captured and the efficiency of light use strongly depends on crown characteristics and leaf traits. Although theory predicts that both crown and leaf traits affect tree growth, few studies have yet to integrate these two types of traits to explain species-specific growth rates. Using 37 broad-leaved tree species of subtropical forests in SE China, we investigated how interspecific differences in wood volume growth rates were affected by crown and leaf traits. We tested the hypotheses that (i) larger crown dimensions promote growth rates, (ii) species-specific growth rates are positively related to leaf stomatal conductance, leaf water potential and leaf chemical components, and negatively related to leaf C/N and leaf toughness and (iii) the two sets of traits better explain growth rates in combination than either alone. Our study was conducted in a large-scale forest Biodiversity and Ecosystem Functioning experiment in China (BEF-China), located in a mountainous region in Jiangxi Province. We related 17 functional traits (two crown dimension and three crown structure traits; six physiological and six morphological leaf traits) to the mean annual growth rate of wood volume of young trees of the studied species. Interrelationships between crown and leaf traits were analyzed using principal component analysis. Simple linear regression analysis was used to test the effect of each trait separately. We used multiple regression analysis to establish the relationship of growth rate to each set of traits (crown traits, physiological and morphological leaf traits) and to the combination of all types of traits. The coefficients of determination ( R 2adj ) of the best multiple regression models were compared to determine the relative explanatory power of crown and leaf traits and a combination of both.