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Predicting effects of N pollutant load on plant species based on a dynamic soil eutrophication indicator. Final report on Nitrogen Effects on Dune Species (NEDS) project

机译:基于动态土壤富营养化指标预测氮污染负荷对植物种类的影响。关于氮对沙丘物种影响(NEDs)项目的最终报告

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摘要

The effects of nitrogen (N) pollution on dune grassland were explored using a model chain that predicts how plant species are likely to respond to changes in soil chemistry. The model chain was calibrated to data from an N addition and grazing experiment at Newborough in Anglesey. The N14C soil model predicted increases in plant productivity and plant litter carbon (C) inputs with more N addition, resulting in an initial and persistent increase in soil C/N ratio. This contrasts with predictions of decreasing C/N ratio from the simpler N saturation model currently used to calculate nutrient-N critical load exceedance. All N addition rates also caused persistent increases in plant-available N. Using the MultiMOVE niche models for plant species typical of dune grassland, these soil changes were related to changes in the overall nutrient enrichment of the flora, as indicated by mean Ellenberg N score, and thereby to the habitat’s suitability for particular species. Declines in Habitat Suitability were interpreted as increasing risk to the species. At rates above 30 kg N ha-1y-1, the more sensitive species were placed at risk almost immediately, but at smaller rates species were placed at risk later on, with an increasing delay with less N addition. At rates lower than the critical N load for calcareous fixed dunes, more mesotrophic species were placed at risk. Species viewed as positive indicators of habitat condition were placed at risk under both high and low rates of N addition. Changes in Habitat Suitability due to changed grazing regime had greater simulated effects on Habitat Suitability. For more confidence in the model chain, differences between the spatial and temporal effects of N addition need to be addressed. More information on the effects of N on vegetation structure and litterfall would be very useful, and objective measurements of vegetation height should be included in monitoring schemes alongside floristic recording. Management was shown to be critical for mitigating the effects of N. Although N removal through grazing or mowing is unlikely to export sufficient N to prevent enrichment, reducing vegetation height can prevent competitive species shading out the more distinctive low-growing, light-demanding dune species.
机译:使用模型链探索了氮(N)污染对沙丘草地的影响,该模型链预测了植物物种可能如何对土壤化学变化做出响应。模型链已根据来自Anglesey的Newborough的N添加和放牧实验的数据进行了校准。 N14C土壤模型预测,随着氮的添加,植物生产力和植物凋落物碳(C)的输入会增加,从而导致土壤C / N比率开始且持续增加。这与目前用于计算营养素-N临界负荷超标的较简单的N饱和度模型预测的C / N比降低相反。所有氮素的添加量也导致植物有效氮素的持续增加。使用MultiMOVE生态位模型研究沙丘草原典型植物物种,这些土壤变化与植物总体营养素富集变化有关,如平均Ellenberg N得分所示。 ,从而适应栖息地对特定物种的适应性。生境适应性的下降被解释为对该物种的风险增加。在高于30 kg N ha-1y-1的比率下,较敏感的物种几乎立即处于危险之中,但后来以较小的比率将物种置于危险中,随着氮素添加量的减少而增加了延迟。以低于钙质固定沙丘的临界氮负荷的速率,更多的中营养物种处于危险之中。被视为生境状况积极指标的物种在高和低氮添加率下都处于危险之中。由于放牧制度的改变,栖息地适宜性的变化对栖息地适宜性具有更大的模拟影响。为了使模型链更具可信度,需要解决添加氮的时空效应之间的差异。关于氮对植被结构和凋落物影响的更多信息将非常有用,并且在监测计划中应包括对植物高度的客观测量以及植物记录。业已证明,管理对于减轻N的影响至关重要。尽管通过放牧或割草去除N不太可能输出足够的N以防止富集,但降低植被高度可以防止竞争性物种遮蔽更独特的低生长,光需求沙丘。种类。

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