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Complex environmental gradients predict distributions of river-dependent plants in eastern Australia

机译:复杂的环境梯度预测了澳大利亚东部依赖河流的植物的分布

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We used principal components analysis and multiple logistic regression to investigate the relationships between environmental variables and the distributions of 71 species of river-dependent vascular plants in northeastern New South Wales, Australia. Our analysis defined seven main environmental factors, summarised (in order of decreasing frequency of statistically significant association with species distributions) as exposure, salinity, stream size, stone scarcity, nutrient enrichment, grazing pressure and rockiness. The main environmental correlates of the presence or absence of macrophyte species in our study were broadly similar to those reported elsewhere, but the relatively low apparent importance of nutrients and grazing was unexpected. We were not able to fully separate the effects of climate-related and non-climatic environmental variables because variables of both types loaded strongly on some principal components, but we suggest that both types of variables should be included in models that aim to forecast potential shifts in plant distributions under projected climatic change. Vascular plants have been neglected in monitoring programs for Australian rivers and their conservation requires a better understanding of patterns and trends in distribution and abundance.
机译:我们使用主成分分析和多元逻辑回归来研究环境变量与澳大利亚新南威尔士州东北部71种依赖河流的维管植物分布之间的关系。我们的分析定义了七个主要环境因素,总结为(与物种分布在统计学上显着相关的频率降低),包括暴露,盐度,溪流大小,石头稀少,营养丰富,放牧压力和落石。在我们的研究中,存在或不存在大型植物的主要环境相关因素与其他地方的报道大致相似,但是营养素和放牧的相对较低的表观重要性是出乎意料的。我们无法完全区分与气候相关的变量和非气候环境变量的影响,因为这两种类型的变量都在某些主要成分上负荷很大,但是我们建议这两种类型的变量都应包含在旨在预测潜在变化的模型中在预计的气候变化下的植物分布。维管植物已被忽略在澳大利亚河流的监测计划中,其养护需要对分布和丰度的规律和趋势有更好的了解。

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