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The Importance of Biotic vs. Abiotic Drivers of Local Plant Community Composition Along Regional Bioclimatic Gradients

机译:沿区域生物气候梯度的当地植物群落组成的生物驱动因素与非生物驱动因素的重要性

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摘要

We assessed if the relative importance of biotic and abiotic factors for plant community composition differs along environmental gradients and between functional groups, and asked which implications this may have in a warmer and wetter future. The study location is a unique grid of sites spanning regional-scale temperature and precipitation gradients in boreal and alpine grasslands in southern Norway. Within each site we sampled vegetation and associated biotic and abiotic factors, and combined broad- and fine-scale ordination analyses to assess the relative explanatory power of these factors for species composition. Although the community responses to biotic and abiotic factors did not consistently change as predicted along the bioclimatic gradients, abiotic variables tended to explain a larger proportion of the variation in species composition towards colder sites, whereas biotic variables explained more towards warmer sites, supporting the stress gradient hypothesis. Significant interactions with precipitation suggest that biotic variables explained more towards wetter climates in the sub alpine and boreal sites, but more towards drier climates in the colder alpine. Thus, we predict that biotic interactions may become more important in alpine and boreal grasslands in a warmer future, although more winter precipitation may counteract this trend in oceanic alpine climates. Our results show that both local and regional scales analyses are needed to disentangle the local vegetation-environment relationships and their regional-scale drivers, and biotic interactions and precipitation must be included when predicting future species assemblages.
机译:我们评估了生物和非生物因素对植物群落组成的相对重要性是否随环境梯度和功能组之间的不同而有所不同,并询问这在温暖和潮湿的未来可能具有哪些影响。研究地点是一个独特的站点网格,跨越了挪威南部北方和高山草原的区域尺度温度和降水梯度。在每个站点内,我们对植被以及相关的生物和非生物因子进行了采样,并结合了大规模和精细规模的排序分析,以评估这些因子对物种组成的相对解释能力。尽管社区对生物和非生物因素的反应并没有像沿生物气候梯度所预测的那样始终如一地变化,但非生物变量倾向于解释物种组成向较冷地点的变化的比例更大,而生物变量向温暖地点进行解释更多,从而支持了压力。梯度假设。与降水的显着相互作用表明,生物变量更多地解释了亚高山和寒带地区的湿润气候,但更多地解释了较冷的阿尔卑斯山的干旱气候。因此,我们预测,在更温暖的未来,尽管冬季的降水增多可能会抵消海洋高山气候中的这种趋势,但生物相互作用在高山和北方草原上可能变得越来越重要。我们的结果表明,需要进行局部和区域尺度分析,以解开当地的植被与环境之间的关系及其区域尺度驱动力,并且在预测未来物种的组合时必须包括生物相互作用和降水。

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