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Leaf Traits and Aboveground Biomass Variability of Forest Understory Herbaceous Plant Species

机译:叶状性状和地上生物量森林植物植物植物种类的变异性

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Despite increasing use of trait-based approaches in community ecology, most studies do not account for intraspecific variability of functional traits. Although numerous studies investigated functional traits of species with high economic value, the intraspecific and interspecific (caused by species identity) trait variability of forest understory herbs is still poorly understood. We aimed to assess the variability of specific leaf area (SLA), total leaf area, aboveground biomass and leaf mass fraction among 167 forest understory plant species, and the level of variability explained by species identity and collection site. We hypothesized that the level of intraspecific variability of SLA is underestimated in commonly used trait databases and that the interspecific variability (caused by species identity) is greater than intraspecific variability (site-specific). Our study revealed higher interspecific than intraspecific variability of the traits studied. We also confirmed that level of intraspecific variability available in the LEDA database is underestimated. We confirmed that species identity was the main factor determining the values of all the traits studied, and site-specific random effects explained lower amounts of variation in traits. Use of trait values from databases not acknowledging intraspecific variability is biased by uncertainty about this variability. For that reason, our analysis used mean trait values to reduce uncertainty of the results in the study conducted to assess human impacts on ecosystems. Thus, our study might support the assumption that level of intraspecific variability of functional traits is lower than interspecific variability.
机译:尽管在社区生态学中越来越多地利用特质的方法,但大多数研究不会考虑功能性状的内部变异性。虽然许多研究调查了具有高经济价值的物种的功能性状,但是森林林草草药的特征和特异性(物种身份造成的特异性)仍然清晰。我们的旨在评估167个森林林下植物物种中特定叶面积(SLA),总叶面积,地上生物量和叶片质量分数的可变性,以及物种身份和收集地点解释的可变异程度。我们假设SLA的内部内化变异水平低估在常用的特征数据库中,并且各种变异性(由物种标识引起的)大于内部可变形(特定于特别的)。我们的研究表明,除了所研究的特征的内部可拆分变异性方面表现出更高的间隙。我们还确认LEDA数据库中可用的内部内化可变性水平被低估。我们确认物种形式是确定所研究的所有特征的值的主要因素,并且特定于现场的随机效应解释了特征的较低量。使用来自数据库的特质价值不承认内部变异性是通过对这种可变性的不确定性偏置。因此,我们的分析使用了平均特质价值,以减少对研究进行评估对生态系统的人类影响的研究结果的不确定性。因此,我们的研究可能支持假设功能性状的内部内部变异水平低于各特异性的可变性。

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