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首页> 外文期刊>Water resources research >Spatial and temporal variation of dissolved organic carbon export from gauged and ungauged watersheds of Dee Valley, Scotland: Effect of land cover and C:N
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Spatial and temporal variation of dissolved organic carbon export from gauged and ungauged watersheds of Dee Valley, Scotland: Effect of land cover and C:N

机译：苏格兰迪河谷无规分流域的溶解性有机碳出口时空变化：土地覆盖和碳氮比的影响

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摘要

Dissolved organic carbon (DOC) concentration and export were quantified in 56 streams within the Dee Valley, Scotland. Percentage land cover was calculated for each of the watersheds. For a subset of 21 watersheds, organic and mineral soil layers were collected for carbon and nitrogen analysis. Peat cover derived from land cover data was a good predictor of annual DOC export for the selected 21 upland watersheds but not for the set of 56 watersheds. Using DOC values and mean watershed C:N ratio, we produced an empirical predictive model for estimation of annual DOC export for the 21 watersheds as well as a model of weekly fluxes in two of the larger watersheds to meet the needs of watershed managers. Annual exports for the 56 streams in the Dee Valley ranged from 1700 to 10,500 kg km~(-2) yr~(-1). Land cover was not related to annual DOC export for the 56 streams, but by season, arable land and grassland were both correlated to spring DOC export (R = -0.39 arable land and R = -0.33 grassland p < 0.01). Summertime DOC export was correlated to heather, montane, and conifer land cover (R = -0.029 heather, R = -0.39 montane, and R = 0.33 conifer, p<0.05). Autumn and winter DOC export was best described by peat (R = 0.29 and 0.39, respectively, p<0.05). In the subset of 21 watersheds with soil information, watershed soil organic matter C:N ratio and peat had a higher correlation with annual DOC concentrations and export than any other land cover class. Source of peat distribution data may impact the relationship between DOC and peat cover, and this issue is examined. Modeled weekly DOC load compared well with observed DOC load in a time series evaluation.
机译：在苏格兰迪河谷的56条溪流中对溶解的有机碳（DOC）浓度和出口进行了定量。计算每个流域的土地覆盖率。对于21个流域的一个子集，收集了有机和矿物土壤层以进行碳和氮分析。从土地覆盖数据得出的泥炭覆盖量可以很好地预测选定的21个山地集水区的年度DOC出口量，但对于这56个集水区却不是。使用DOC值和平均流域C：N比，我们建立了一个经验预测模型来估算21个流域的年度DOC出口量，并建立了两个较大流域的每周通量模型，以满足流域管理者的需求。迪河谷56条溪流的年出口量在1700至10,500 kg km〜（-2）yr〜（-1）之间。土地覆盖与56条河流的年度DOC出口量无关，但按季节划分，耕地和草地都与春季DOC出口量相关（R = -0.39耕地，R = -0.33草原p <0.01）。夏季DOC出口量与石南花，山地和针叶树的土地覆盖率相关（R = -0.029希瑟，R = -0.39山地，R = 0.33针叶树，p <0.05）。最好用泥炭描述秋季和冬季的DOC出口（R分别为0.29和0.39，p <0.05）。在21个具有土壤信息的流域的子集中，流域土壤有机质C：N比和泥炭与年度DOC浓度和出口的相关性高于任何其他土地覆被类别。泥炭分布数据的来源可能会影响DOC与泥炭覆盖之间的关系，因此对此问题进行了研究。在时间序列评估中，每周建模的DOC负载与观察到的DOC负载进行了比较。

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