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Water chemistry in 179 randomly selected Swedish headwater streams related to forest production clear-felling and climate

机译:179种随机选择的瑞典源头溪流中的水化学与森林生产伐木和气候有关

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摘要

From a policy perspective, it is important to understand forestry effects on surface waters from a landscape perspective. The EU Water Framework Directive demands remedial actions if not achieving good ecological status. In Sweden, 44 % of the surface water bodies have moderate ecological status or worse. Many of these drain catchments with a mosaic of managed forests. It is important for the forestry sector and water authorities to be able to identify where, in the forested landscape, special precautions are necessary. The aim of this study was to quantify the relations between forestry parameters and headwater stream concentrations of nutrients, organic matter and acid-base chemistry. The results are put into the context of regional climate, sulphur and nitrogen deposition, as well as marine influences. Water chemistry was measured in 179 randomly selected headwater streams from two regions in southwest and central Sweden, corresponding to 10 % of the Swedish land area. Forest status was determined from satellite images and Swedish National Forest Inventory data using the probabilistic classifier method, which was used to model stream water chemistry with Bayesian model averaging. The results indicate that concentrations of e.g. nitrogen, phosphorus and organic matter are related to factors associated with forest production but that it is not forestry per se that causes the excess losses. Instead, factors simultaneously affecting forest production and stream water chemistry, such as climate, extensive soil pools and nitrogen deposition, are the most likely candidates The relationships with clear-felled and wetland areas are likely to be direct effects.
机译:从政策角度看,从景观角度了解林业对地表水的影响非常重要。如果未达到良好的生态状态,则欧盟水框架指令要求采取补救措施。在瑞典,有44%的地表水体的生态状况中等或更差。这些流域中的许多流域都有人工林的镶嵌。对于林业部门和水务部门而言,重要的是能够确定在森林景观中哪些地方需要采取特殊的预防措施。这项研究的目的是量化林业参数与养分,有机质和酸碱化学物质的源头溪流浓度之间的关系。将结果纳入区域气候,硫和氮沉积以及海洋影响的背景下。在瑞典西南部和中部两个地区的179个随机选择的源头水流中测量了水化学成分,相当于瑞典陆地面积的10%。使用概率分类器方法根据卫星图像和瑞典国家森林清单数据确定森林状况,该概率分类器方法用于通过贝叶斯模型平均对流水化学模型进行建模。结果表明浓度例如为氮,磷和有机物与与森林生产有关的因素有关,但不是造成损失的不是森林本身。取而代之的是,同时影响森林生产和河流水化学的因素,例如气候,广泛的土壤库和氮沉降,是最可能的候选者。与干旱地区和湿地地区的关系很可能是直接影响。

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