Isoscape Analysis for Elucidating Relationships between Soil Redistribution and Soil Carbon Dynamics

Xia Li, G. McCarty, Sangchul Lee
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Abstract

Isotopic tracers are useful for assessing linkages between soil movement and soil carbon dynamics in landscapes. Analyses of isotopes and comparison of isoscape (isotopic landscape) with observational data have been employed to investigate spatial distributions of isotopes, to test efficiencies of isotopic models, and to examine soil redistribution patterns and C dynamics. This chapter reviewed the application of natural (7Be, 210Pb) and anthropogenic fallout radionuclides (137Cs, 239,240Pu), and C isotopes (12,13,14C) in understanding mechanisms of soil redistribution and sedimentation. The chapter was organized to cover the formation, sources, and transport of these isotopes; how they are distributed and related to soil redistribution on C dynamics; and importance of their distribution (isoscapes) on investigating soil properties. We also provided a case study to demonstrate the feasibility of applying isotopes and isoscape modeling for understanding soil property variability in response to anthropogenic disturbance in a low-relief cropland field. Results demonstrated advantages of using 137Cs and C isotopic signature (δ13C) to trace soil movements and C dynamics. Topography-based 137Cs and C isoscape models were developed using light detection and ranging data (LiDAR) derived topographic metrics. The models successfully simulated the spatial patterns of 137Cs inventory and δ13C over an agricultural landscape and can benefit soil sedimentation and C dynamic studies in areas with limited observations.
土壤再分布与土壤碳动态关系的等尺度分析
同位素示踪剂可用于评估景观中土壤运动与土壤碳动态之间的联系。同位素分析和同位素景观与观测数据的比较已被用于研究同位素的空间分布,测试同位素模型的效率,并研究土壤再分配模式和碳动态。本章综述了天然(7Be, 210Pb)和人为沉降放射性核素(137Cs, 239240pu)和C同位素(12,13,14c)在土壤再分布和沉积机制研究中的应用。这一章的内容包括这些同位素的形成、来源和迁移;它们的分布及其与土壤碳动态再分布的关系;以及它们的分布(等值线图)对研究土壤性质的重要性。我们还提供了一个案例研究,以证明应用同位素和等景观模型来理解低起伏农田对人为干扰响应的土壤性质变化的可行性。结果表明,利用137Cs和C同位素特征(δ13C)来追踪土壤运动和C动态具有优势。利用光探测和测距数据(LiDAR)衍生的地形指标,开发了基于地形的137Cs和C等高景观模型。该模型成功地模拟了农业景观中137Cs储量和δ13C的空间格局,可用于有限观测区域的土壤沉积和碳动态研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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