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Multiple metrics of diversity have different effects on temperate forest functioning over succession

机译:多样性的多种指标对演替后温带森林功能的影响不同

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Biodiversity can be measured by taxonomic, phylogenetic, and functional diversity. How ecosystem functioning depends on these measures of diversity can vary from site to site and depends on successional stage. Here, we measured taxonomic, phylogenetic, and functional diversity, and examined their relationship with biomass in two successional stages of the broad-leaved Korean pine forest in northeastern China. Functional diversity was calculated from six plant traits, and aboveground biomass (AGB) and coarse woody productivity (CWP) were estimated using data from three forest censuses (10 years) in two large fully mapped forest plots (25 and 5 ha). 11 of the 12 regressions between biomass variables (AGB and CWP) and indices of diversity showed significant positive relationships, especially those with phylogenetic diversity. The mean tree diversity-biomass regressions increased from 0.11 in secondary forest to 0.31 in old-growth forest, implying a stronger biodiversity effect in more mature forest. Multi-model selection results showed that models including species richness, phylogenetic diversity, and single functional traits explained more variation in forest biomass than other candidate models. The models with a single functional trait, i.e., leaf area in secondary forest and wood density in mature forest, provided better explanations for forest biomass than models that combined all six functional traits. This finding may reflect different strategies in growth and resource acquisition in secondary and old-growth forests.
机译:可以通过分类,系统发育和功能多样性来衡量生物多样性。生态系统的运作方式如何取决于这些多样性度量标准,可能因地点而异,并取决于演替阶段。在这里,我们测量了分类学,系统发育学和功能多样性,并研究了它们在中国东北阔叶红松林两个演替阶段与生物量的关系。根据六个植物性状计算了功能多样性,并使用来自两个大型全图林地(25和5公顷)的三个森林普查(10年)的数据估算了地上生物量(AGB)和粗木本生产力(CWP)。在生物量变量(AGB和CWP)与多样性指数之间的12个回归中,有11个显示出显着的正相关,特别是在具有系统发育多样性的那些之间。平均树木多样性-生物量回归从次生林中的0.11增加到旧林中的0.31,这意味着在更成熟的森林中生物多样性效应更强。多模型选择结果表明,包括物种丰富性,系统发育多样性和单一功能性状在内的模型比其他候选模型解释了更多的森林生物量变异。具有单一功能性状(即次生林的叶面积和成熟林的木材密度)的模型比结合所有六个功能性状的模型提供了更好的森林生物量解释。这一发现可能反映了次生和老龄森林生长和资源获取的不同策略。

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