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Afforestation driving long-term surface water browning

机译:造型驾驶长期表面水褐变

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Increase in surface water color (browning), caused by rising dissolved organic carbon (DOC) and iron concentrations, has been widely reported and studied in the last couple of decades. This phenomenon has implications to aquatic ecosystem function and biogeochemical carbon cycling. While recovery from acidification and changes in climate-related variables, such as precipitation and length of growing season, are recognized as drivers behind browning, land-use change has received less attention. In this study, we include all of the above factors and aim to discern their individual and combined contribution to water color variation in an unprecedentedly long (1940-2016) and highly resolved dataset (20 times per month), from a river in southern Sweden. Water color showed high seasonal variability and a marked long-term increase, particularly in the latter half of the dataset (1980). Short-term and seasonal variations were best explained by precipitation, with temperature playing a secondary role. All explanatory variables (precipitation, temperature, S deposition, and land-use change) contributed significantly and together predicted 75% of the long-term variation in water color. Long-term change was best explained by a pronounced increase in Norway spruce (Picea abies Karst) volume-a measure of land-use change and a proxy for buildup of organic soil layers-and by change in atmospheric S deposition. When modeling water color with a combination of explanatory variables, Norway spruce showed the highest contribution to explaining long-term variability. This study highlights the importance of considering land-use change as a factor behind browning and combining multiple factors when making predictions in water color and DOC.
机译:由于溶解的有机碳(DOC)和铁浓度上升引起的表面水颜色(褐变)增加,并在过去几十年中被广泛报道和研究。这种现象对水生生态系统功能和生物地球化学碳循环有影响。虽然从酸化和与气候相关变量的变化中恢复,但增长季节的降水和长度,但被认为是褐变背后的司机,但土地利用变化受到不太关注。在这项研究中,我们包括所有上述因素,并旨在辨别他们的个人和对瑞典南部河流的前所未有的长期(1940-2016)和高度解决的数据集(每月20次) 。水彩显示出高季节性变异性和显着的长期增加,特别是在数据集的后半部分(1980)。通过降水最佳解释短期和季节性变化,温度发挥次要作用。所有解释性变量(降水,温度,S沉积和土地使用变化)显着贡献,共同预测了水彩的长期变化的75%。在挪威云杉(Picea abies karst)的明显增加(Picea abies karst)音量 - 一种衡量土地使用变化和有机土层堆积的代理,以及大气沉积的变化,最佳地解释了长期的变化。在用挪威云杉与解释性变量的组合建模水彩时,挪威云杉对解释长期变异性表示最高贡献。本研究突出了考虑土地使用变化作为褐变背后的因素的重要性,并在水彩和文档预测时结合多种因素。

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