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首页> 外文期刊>Journal of Vegetation Science >Species richness and soil properties in Pinus ponderosa forests: a structural equation modeling analysis.
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Species richness and soil properties in Pinus ponderosa forests: a structural equation modeling analysis.

机译:黄松林的物种丰富度和土壤特性:结构方程模型分析。

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Question: How are the effects of mineral soil properties on understory plant species richness propagated through a network of processes involving the forest overstory, soil organic matter, soil nitrogen, and understory plant abundance? Location: North-central Arizona, USA. Methods: We sampled 75 0.05-ha plots across a broad soil gradient in a Pinus ponderosa (ponderosa pine) forest ecosystem. We evaluated multivariate models of plant species richness using structural equation modeling. Results: Richness was highest at intermediate levels of understory plant cover, suggesting that both colonization success and competitive exclusion can limit richness in this system. We did not detect a reciprocal positive effect of richness on plant cover. Richness was strongly related to soil nitrogen in the model, with evidence for both a direct negative effect and an indirect non-linear relationship mediated through understory plant cover. Soil organic matter appeared to have a positive influence on understory richness that was independent of soil nitrogen. Richness was lowest where the forest overstory was densest, which can be explained through indirect effects on soil organic matter, soil nitrogen and understory cover. Finally, model results suggest a variety of direct and indirect processes whereby mineral soil properties can influence richness. Conclusions: Understory plant species richness and plant cover in P. ponderosa forests appear to be significantly influenced by soil organic matter and nitrogen, which are, in turn, related to overstory density and composition and mineral soil properties. Thus, soil properties can impose direct and indirect constraints on local species diversity in ponderosa pine forests..
机译:问题:矿物质土壤特性对林下植物物种丰富度的影响如何通过涉及林上林,土壤有机质,土壤氮和林下植物丰度的过程网络传播?地点:美国亚利桑那州中北部。方法:我们在阔叶松(ponderosa pine)森林生态系统中的广阔土壤梯度上采样了75个0.05公顷的样地。我们使用结构方程模型评估了植物物种丰富度的多元模型。结果:在林下植物覆盖度的中间水平,富集度最高,表明定植成功和竞争排斥都可以限制该系统的富集。我们没有发现丰富度对植物覆盖率有积极影响。在模型中,丰富度与土壤氮密切相关,有证据表明直接的负效应和通过地下植物覆盖介导的间接非线性关系。土壤有机质似乎对下层丰富度具有积极影响,而下层丰富度与土壤氮素无关。森林过度植被最茂密的地区,其丰富度最低,这可以通过对土壤有机质,土壤氮和林下植被的间接影响来解释。最后,模型结果表明,各种直接和间接的过程,矿质土壤的特性可以影响其丰富度。结论:美国黄松林林下植物物种丰富度和植物覆盖率似乎受到土壤有机质和氮的显着影响,而土壤有机质和氮又与林下密度,组成和矿质土壤特性有关。因此,土壤特性可以对美国黄松林的本地物种多样性施加直接和间接的约束。

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