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首页> 外文期刊>Oikos: A Journal of Ecology >Species richness along multiple gradients: testing a general multivariate model in oak savannas
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Species richness along multiple gradients: testing a general multivariate model in oak savannas

机译:沿多个梯度的物种丰富度:在橡树稀树草原中测试通用多元模型

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A confirmatory structural equation model was built in order to test the generality of Grace and Pugesek's model of species richness. A main feature of their model was that light reaching the soil surface had the strongest effects on species richness, and that disturbance and biomass effects were largely indirect via effects on light. Their model was not confirmed for the understory vegetation of floodplain oak savannas and a new model had numerous fundamental differences. Disturbance history had the strongest direct effects on richness and these were independent of biomass effects. Richness was maximal at intermediate disturbance and biomass. Bivariate relationships between soil quality and species density were very weak because soil quality simultaneously had negative direct effects and positive indirect effects (through biomass), such that the total effect of soil was negligible. This provides an example of how structural modeling can provide insights that are not possible with other numerical methods. The complex effects of soils support recent findings that some soil components tend to increase richness via a species pool effect while other components tend to reduce richness via biotic interactions. The effects of light were not significant, but canopy trees had weak, positive effects, and this contradicts other structural models which have generally shown that shading reduces species richness. Here, species richness increases with shade presumably because of species pool effects, whereby the species pool increases by including prairie, savanna, and some woodland species and indirectly by reducing dominance by warm-season grasses. The results have implications for management because of the overall importance of disturbance history, however the majority of the variation in richness was left unexplained and this suggests other factors such as dispersal limitation, soil fungi, and historical effects may be of overriding importance in these oak savannas.
机译:建立了验证性的结构方程模型,以检验Grace和Pugesek的物种丰富度模型的一般性。他们模型的主要特征是,到达土壤表面的光对物种丰富度的影响最大,而干扰和生物量的影响很大程度上是通过光的间接影响。对于泛滥的橡树稀树草原的林下植被,他们的模型尚未得到证实,新模型具有许多基本差异。干扰历史对丰富度的直接影响最强,且与生物量影响无关。在中间干扰和生物量下,富集度最大。土壤质量与物种密度之间的双变量关系非常弱,因为土壤质量同时具有负的直接影响和正的间接影响(通过生物量),因此土壤的总影响可忽略不计。这提供了一个结构建模如何提供其他数值方法无法提供的见解的示例。土壤的复杂影响支持了最近的发现,即某些土壤成分倾向于通过物种库效应来增加丰富度,而其他成分则倾向于通过生物相互作用来降低丰富度。光的影响并不显着,但是冠层树具有微弱的积极影响,这与其他结构模型相矛盾,这些模型通常显示出阴影会降低物种的丰富度。在这里,物种丰富度的增加可能是由于物种库的影响而增加的,因此,通过包括草原,稀树草原和一些林地物种,并通过减少暖季草的优势而间接地增加了物种库。由于干扰史的总体重要性,结果对管理具有重要意义,但是丰富度的大部分变化尚无法解释,这表明在这些橡树中,其他因素,例如扩散限制,土壤真菌和历史影响可能是最重要的。稀树草原。

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