解释土壤有机碳动态的驱动变量:厄瓜多尔皇家山脉的帕拉莫高地
Andrés A Beltrán-Dávalos1,2, Johanna Elizabeth Ayala Izurieta2,3, Magdy Echeverría4
1Departament of Soil Science and Agricultural Chemistry, Unit for Sustainable Environmental and Forest Management, University of Santiago de Compostela, 27002 Lugo, Spain.
概括
安第斯帕拉莫的土壤有机碳 (SOC) 储存能力很高,对减轻大气碳排放至关重要. 沙子含量是估计局部尺度SOC变异性的关键预测因素.
科学领域:
- 土壤科学 土壤科学
- 生态生态学 生态生态学
- 环境科学 环境科学
背景情况:
- 大量的土壤有机碳 (SOC) 储量和高土壤储存能力对于减轻大气碳排放至关重要.
- 了解当地和微型流域规模的SOC变化对于景观层面的碳管理至关重要.
研究的目的:
- 研究安第斯帕拉莫土壤中SOC的空间变异性.
- 为了确定影响SOC动态的关键驱动变量,在真实范围内,厄瓜多尔.
- 为地方规模的评估开发一个空间显式的SOC估计模型.
主要方法:
- 对地质物理,气象,地形和光谱变量的分析.
- 使用分类和回归树 (CART) 校准一个SOC预测模型.
- 使用了0-30厘米土壤地平线的土壤数据样本.
主要成果:
- 一个使用八个关键变量的模型实现了67%的精度 (RMSE 2.17%) 的SOC估计.
- 沙子含量被确定为SOC最重要的预测因素.
- 分类学分类和保护区地位提供了重要的补充信息.
结论:
- 安第斯帕拉莫高原的SOC储存能力很高 (3.5%19%).
- 这种变化凸显了生态系统作为全球碳储存库的重要性.
- 开发的模型增强了在传统预测器效率较低的较小区域的SOC变化检测.
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