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Species-specific responses of plant communities to altered carbon andnutrient availability

机译:植物群落对碳和养分利用率变化的物种特异性反应

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摘要

In a field microcosm experiment, species-specific responses of aboveground biomass of two California annual grassland communities to elevated CO2 and nutrient availability were investigated. One community grows on shallow, nutrient-poor serpentine-derived soil whereas the other occurs on deeper, modestly fertile sandstone/greenstone-derived substrate. In most species, CO2 effects did not appear until late in the growing season, probably because the elevated CO2 increased water-use-efficiency easing, the onset of the summer drought. Responses of aboveground biomass to elevated CO2 differed depending on nutrient availability. Similarly, biomass responses to nutrient treatments differed depending on the CO2 status. For the majority of the species, production increased most under elevated CO2 with added nutrients (N,P,K, and micro nutrients). Some species were losers under conditions that increased overall community production, including Bromus hordeaceus in the serpentine community (negative biomass response under elevated CO2) and Lotus wrangelianus in both communities (negative biomass response with added nitrogen). Treatment and competitive effects on species-specific biomass varied in both magnitude and direction, especially in the serpentine community, significantly affecting community structure. Individual resource environments are likely to be affected by neighbouring plants, and these competitive interactions complicate predictions of species' responses to elevated CO2.
机译:在田间微观实验中,研究了两个加利福尼亚年度草地群落的地上生物量对二氧化碳和养分利用率升高的物种特异性反应。一个群落生长在营养贫瘠的蛇纹石来源较浅的土壤上,而另一个群落则生长在较深的中等肥沃的砂岩/绿岩来源的基质上。在大多数物种中,直到生长季后期才出现CO2效应,这可能是因为升高的CO2可以提高用水效率,这是夏季干旱的开始。地上生物量对二氧化碳浓度升高的响应因养分的可获得性而异。同样,生物量对养分处理的反应因二氧化碳状态而异。对于大多数物种,在增加二氧化碳和增加养分(N,P,K和微量养分)的情况下,产量增长最多。在增加整体群落产量的条件下,有些物种是失败者,包括蛇形群落中的大果布鲁姆氏菌(CO2浓度升高时生物量负响应)和两个群落中的桔黄莲花(氮素增加时生物量负响应)。对物种特异性生物量的处理和竞争效应在大小和方向上都不同,尤其是在蛇形群落中,这显着影响了群落结构。个体资源环境可能会受到邻近植物的影响,而这些竞争性相互作用使物种对二氧化碳升高的反应的预测变得更加复杂。

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