...
首页> 外文期刊>The Science of the Total Environment >Understanding the spatial distribution of factors controlling topsoil organic carbon content in European soils
【24h】

Understanding the spatial distribution of factors controlling topsoil organic carbon content in European soils

机译:了解控制欧洲土壤中表土有机碳含量的因素的空间分布

获取原文
获取原文并翻译 | 示例
           

摘要

Soil Organic Carbon (SOC) constitutes the largest terrestrial carbon pool. The understanding of its dynamics and the environmental factors that influence its behaviour as sink or source of atmospheric CO_2 is crucial to quantify the carbon budget at the global scale. At the European scale, most of the existing studies to account for SOC stocks are centred in the fitting of predictive model to ascertain the distribution of SOC However, the development of methodologies for monitoring and identifying the environmental factors that control SOC storage in Europe remains a key research challenge. Here we present a modelling procedure for mapping and monitoring SOC contents that uses Visible-Near Infrared (VNIR) spectroscopic measurements and a series of environmental covariates to ascertain the key environmental processes that have a major contribution into SOC sequestration processes. Our results show that it follows a geographically non-stationary process in which the influencing environmental factors have different weights depending on the spatial location. This implies that SOC stock modelling should not rely on a single model but on a combination of different statistical models depending on the environmental characteristics of each area. A cluster classification of European soils in relation to those factors resulted in the determination of four groups for which specific models have been obtained. Differences in climate, soil pH, content of coarse fragments or land cover type are the main factors explaining the differences in SOC in topsoil from Europe. We found that climatic conditions are the main driver of SOC storage at the continental scale, but we also found that parameters like land cover type influence SOC content found at the local scales in certain areas. Our methodology developed at continental scale could be used in future research aimed to improve the predictive performance of SOC assessments at European scale.
机译:土壤有机碳(SOC)构成了最大的陆地碳库。了解其动力学和影响其作为大气CO_2汇或源的行为的环境因素对于量化全球范围内的碳预算至关重要。在欧洲范围内,大多数现有的用于处理SOC的研究都集中在预测模型的拟合上,以确定SOC的分布。然而,用于监视和识别控制欧洲SOC储存的环境因素的方法学的发展仍然是一个难题。关键研究挑战。在这里,我们介绍了一种用于映射和监视SOC内容的建模程序,该程序使用可见近红外(VNIR)光谱测量和一系列环境协变量来确定对SOC隔离过程有重大贡献的关键环境过程。我们的结果表明,它遵循地理上的非平稳过程,其中,影响环境的因素取决于空间位置而具有不同的权重。这意味着,SOC存量建模不应依赖于单个模型,而应依赖于每个区域的环境特征依赖于不同统计模型的组合。与这些因素有关的欧洲土壤的聚类分类导致确定了已获得特定模型的四个组。气候,土壤pH,粗碎屑含量或土地覆盖类型的差异是解释欧洲表层土壤SOC差异的主要因素。我们发现气候条件是大陆规模SOC储存的主要驱动力,但是我们还发现诸如土地覆盖类型之类的参数会影响某些地区在当地尺度上发现的SOC含量。我们在大陆范围内开发的方法可用于未来的研究中,以改善欧洲范围内SOC评估的预测性能。

著录项

  • 来源
    《The Science of the Total Environment》 |2017年第31期|1411-1422|共12页
  • 作者单位

    Departamento de Edafoloxia e Quimica Agricola, Facultade de Bioloaa, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain;

    Departamento de Edafoloxia e Quimica Agricola, Facultade de Bioloaa, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain;

    Departamento de Edafoloxia e Quimica Agricola, Facultade de Bioloaa, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain;

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

    Soil organic carbon; Infrared spectroscopy; Machine learning; Spatial statistics;

    机译:土壤有机碳;红外光谱机器学习;空间统计;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号