首页> 外文期刊>Catena: An Interdisciplinary Journal of Soil Science Hydrology-Geomorphology Focusing on Geoecology and Landscape Evolution >Multiple landscape 'source-sink' structures for the monitoring and management of non-point source organic carbon loss in a peri-urban watershed
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Multiple landscape 'source-sink' structures for the monitoring and management of non-point source organic carbon loss in a peri-urban watershed

机译:多个景观“源汇”结构,用于监视和管理城市周边流域的面源有机碳损失

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We established successfully the Location-weighted landscape Contrast Index (LCI) with three factors of landscape pattern (land-use type, composition and configuration) in the view of the source-sink structures of three organic carbon format loss processes. To reveal the relations between soil organic carbon loss and landscape indicators, we should firstly quantify the variables that denote organic carbon loss status. The sediment delivery distributed model and the Pollution Load (PLOAD) model (R-2 > 0.9; E-NS > 0.9) were integrated to simulate sediment yield, total organic carbon (TOC) loss, adsorbed organic carbon (AOC), and dissolved organic carbon (DOC). Results by Pearson correlation analysis indicate that the dominant factor in the integrated model is the rainfall factor explaining >80% of the variations in both sediment and organic carbon loss. Aside from precipitation, landscape pattern is also a principal factor that correlates with sediment yield and organic carbon loss. Landscape indicators, namely, LCITOC and LCIAOC, are significantly related to the sediment delivery ratio, and they explain 87% and 81% of the variation in sediment yield rate, respectively; however, they do not consider precipitation, with the rainfall factor dropped. LCITOC, LCIAOC, and LCIDOC explain 91%, 89%, and 87% of the variation in the corresponding organic carbon formats, respectively. The landscape indicators show that the landscape pattern is generally unfavorable to AOC loss in most sub-watersheds, whereas it is favorable to DOC and TOC format losses in the whole watershed. These differences among loss formats are considerably attributed to different sink-source compositional structures. Flow length derived from the paddies and rural settlements along river networks is the most unfavorable factor related to spatial configuration of organic carbon source-sink. In this regard, this study proposes the further optimization of the landscape pattern to increase or prevent the flow path of soil and organic carbon from source land-use types to river channels. This goal can be achieved through the development of protection forest belts in hilly areas and around agricultural lands. (C) 2016 Elsevier B.V. All rights reserved.
机译:鉴于三个有机碳格式损失过程的源汇结构,我们成功地建立了具有景观格局三个因素的土地加权景观对比度指数(LCI)(土地利用类型,组成和构造)。为了揭示土壤有机碳损失与景观指标之间的关系,我们首先应量化表示有机碳损失状况的变量。泥沙输送分布模型和污染负荷(PLOAD)模型(R-2> 0.9; E-NS> 0.9)被集成以模拟泥沙产量,总有机碳(TOC)损失,吸附的有机碳(AOC)和溶解有机碳(DOC)。皮尔森相关分析的结果表明,综合模型中的主要因素是降雨因素,这解释了沉积物和有机碳损失变化的> 80%。除降水外,景观格局也是与沉积物产量和有机碳损失相关的主要因素。景观指标LCITOC和LCIAOC与泥沙输送率显着相关,它们分别解释了泥沙产率变化的87%和81%。但是,他们不考虑降水,而降雨因子下降了。 LCITOC,LCIAOC和LCIDOC分别解释了相应有机碳形式变异的91%,89%和87%。景观指标表明,大多数子流域的景观格局通常不利于AOC损失,而整个流域的DOC和TOC格式损失则有利。损失格式之间的这些差异在很大程度上归因于不同的汇源组成结构。沿河网的稻田和农村居民点产生的流量长度是与有机碳源库空间配置有关的最不利因素。因此,本研究提出进一步优化景观格局,以增加或防止土壤和有机碳从源土地利用类型流向河道的路径。通过在丘陵地区和农田周围发展防护林带可以实现这一目标。 (C)2016 Elsevier B.V.保留所有权利。

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