首页> 外文期刊>Journal of soil & sediments >Spatial and vertical variations in the soil organic carbon concentration and its controlling factors in boreal wetlands in the Greater Khingan Mountains, China
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Spatial and vertical variations in the soil organic carbon concentration and its controlling factors in boreal wetlands in the Greater Khingan Mountains, China

机译:大兴安岭北部湿地土壤有机碳浓度的空间和垂直变化及其控制因素

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摘要

PurposeWetlands have a critical impact on the global carbon cycle. This study aims to investigate the spatial and vertical distribution of the soil organic carbon concentration (SOCc), to identify the differences of SOCc among swamps, marshes, bogs, and fens at a regional scale, and finally to examine the main environmental factors impacting SOCc at different depth intervals within different wetland types located in the Greater Khingan Mountains (GKM).Materials and methodsA total of 218 soil samples were collected. SOCc was determined by the combustion-oxidation method. To analyze the impacts of wetland type, soil type, mean annual precipitation (MAP), mean annual temperature (MAT), evapotranspiration (ET), elevation (EL), and slope (SL) on SOCc, statistical analysis methods were executed, including ANOVA with the Duncan test, Pearson correlations analysis, and the stepwise multiple regressions analysis.Results and discussionThe mean values of SOCc in the 0-30, 30-60, and 60-100-cm intervals were 130.4, 64.2, and 32.6gkg(-1), respectively. The wetland type played an important role in the pattern of SOCc in terms of significant differences (p0.05) among the different wetland types in the 0-60-cm depth. However, significant differences were not found among different soil types. In terms of the wetland type, the highest SOCc was found in bogs (p0.05), probably due to the higher MAP and lower MAT. The increased MAP (R-2=0.1369, p0.01) and decreased MAT (R-2=0.1225, p0.01) had positive associations on the wetland SOCc. ET (R-2=0.2809, p0.01), MAP (R-2=0.2025, p0.01), and EL (R-2=0.0484, p0.05) were positively correlated with marsh SOCc. Moreover, MAP was positively correlated with the bog SOCc (R-2=0.1296, p0.01). For vertical patterns, SOCc was higher in the 0-30-cm interval and decreased with depth. The impacts of environmental factors on SOCc decreased with depth for each wetland type. Models were developed to document the relations between the SOCc of marshes and fens and corresponding environmental factors.ConclusionsWetland types largely differed in the soil carbon pools in the GKM of China. The relative importance of environmental factors was different for the SOCc values of various wetland types. To minimize carbon loss into the atmosphere, more protections are required for wetlands, especially in the 0-30-cm depth interval because it contains higher SOCc values and is more vulnerable and less stable than those in the deeper layers.
机译:目的湿地对全球碳循环具有至关重要的影响。这项研究旨在调查土壤有机碳浓度(SOCc)的空间和垂直分布,以识别区域范围内沼泽,沼泽,沼泽和芬芳之间SOCc的差异,并最终研究影响SOCc的主要环境因素。在大兴安岭(GKM)的不同湿地类型中,在不同的深度间隔。材料和方法总共收集了218个土壤样品。 SOCc通过燃烧氧化法求出。为了分析湿地类型,土壤类型,年平均降水量(MAP),年平均温度(MAT),蒸散量(ET),海拔(EL)和坡度(SL)对SOCc的影响,执行了统计分析方法,包括结果与讨论在0-30、30-60和60-100-cm区间内的SOCc平均值分别为130.4、64.2和32.6gkg(ANOVA),包括Duncan检验,Pearson相关分析和逐步多元回归分析。 -1)。湿地类型在SOCc模式中起着重要作用,因为0-60 cm深度不同湿地类型之间的显着差异(p <0.05)。但是,不同土壤类型之间没有发现显着差异。就湿地类型而言,沼泽中的SOCc最高(p <0.05),这可能是由于较高的MAP和较低的MAT。 MAP增加(R-2 = 0.1369,p <0.01)和MAT降低(R-2 = 0.1225,p <0.01)与湿地SOCc呈正相关。 ET(R-2 = 0.2809,p <0.01),MAP(R-2 = 0.2025,p <0.01)和EL(R-2 = 0.0484,p <0.05)与沼泽SOCc正相关。而且,MAP与沼泽SOCc呈正相关(R-2 = 0.1296,p <0.01)。对于垂直图案,SOCc在0-30厘米的间隔内较高,并随深度减小。对于每种湿地类型,环境因素对SOCc的影响随深度的增加而减小。建立了模型以记录沼泽和and的SOCc与相应环境因子之间的关系。结论中国GKM土壤湿地的碳类型差异很大。对于各种湿地类型的SOCc值,环境因素的相对重要性是不同的。为了最大程度地减少向大气中的碳损失,湿地需要更多的保护措施,尤其是在0-30厘米深度的间隔内,因为它具有较高的SOCc值,并且比深层中的脆弱性更高,稳定性更差。

著录项

  • 来源
    《Journal of soil & sediments》 |2019年第3期|1201-1214|共14页
  • 作者单位

    Chinese Acad Sci, Northeast Inst Geog & Agroecol, Key Lab Wetland Ecol & Environm, Changchun 130102, Jilin, Peoples R China|North China Univ Sci & Technol, Coll Min Engn, Tangshan 063210, Peoples R China|Indiana Univ Purdue Univ, Dept Earth Sci, Indianapolis, IN 46202 USA|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, Northeast Inst Geog & Agroecol, Key Lab Wetland Ecol & Environm, Changchun 130102, Jilin, Peoples R China;

    Chinese Acad Sci, Northeast Inst Geog & Agroecol, Key Lab Wetland Ecol & Environm, Changchun 130102, Jilin, Peoples R China;

    Indiana Univ Purdue Univ, Dept Earth Sci, Indianapolis, IN 46202 USA;

    Chinese Acad Sci, Northeast Inst Geog & Agroecol, Key Lab Wetland Ecol & Environm, Changchun 130102, Jilin, Peoples R China|North China Univ Sci & Technol, Coll Min Engn, Tangshan 063210, Peoples R China|Indiana Univ Purdue Univ, Dept Earth Sci, Indianapolis, IN 46202 USA|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, Northeast Inst Geog & Agroecol, Key Lab Wetland Ecol & Environm, Changchun 130102, Jilin, Peoples R China;

    Chinese Acad Sci, Northeast Inst Geog & Agroecol, Key Lab Wetland Ecol & Environm, Changchun 130102, Jilin, Peoples R China;

    Indiana Univ Purdue Univ, Dept Earth Sci, Indianapolis, IN 46202 USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Carbon sequestration; Climate change; Combustion-oxidation method; Controlling factor; Permafrost regions; Wetlands;

    机译:固碳;气候变化;燃烧-氧化法;控制因子;多年冻土区;湿地;

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