Spatial variability of soil organic carbon in grasslands: implications for detecting change at different scales
Spatial variability of soil organic carbon in grasslands: implications for detecting change at different scales
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DOI：
10.1016/s0269-7491(01)00265-2
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发表时间：
2002-01-01
影响因子：
8.9
通讯作者：
Paustian, K
中科院分区：
文献类型：
--
作者：
Conant, RT;Paustian, K
用来量化广泛的土壤碳变化的大量数据(没有关于因果关系的信息)，再加上用于将变化归因于具体管理做法的密集数据，可以构成一个有效的国家草原土壤碳监测网络的基础。基于广泛的(USDA/NRCS土壤数据库)和密集的田间土壤碳数据的可变性，我们评估了未来采集样本检测草原土壤碳变化的有效性。通过在县、州或国家尺度上分别采集34、224、501个样本，可以在5年后验证与草原管理变化相关的一系列空间尺度上的潜在土壤C变化(α=0.1)。农场一级的分析表明，相同数量的核心和不同的核心组(微区)导致各种生态系统的土壤C变异系数最低。我们的结果表明，使用当前的技术可以在从农场到整个国家的尺度上精确地量化草原土壤碳的变化。(C)2001爱思唯尔科学有限公司。保留所有权利。
Extensive data used to quantify broad soil C changes (without information about causation), coupled with intensive data used for attribution of changes to specific management practices, could form the basis of an efficient national grassland soil C monitoring network. Based on variability of extensive (USDA/NRCS pedon database) and intensive field-level soil C data, we evaluated the efficacy of future sample collection to detect changes in soil C in grasslands. Potential soil C changes at a range of spatial scales related to changes in grassland management can be verified (alpha=0.1) after 5 years with collection of 34, 224, 501 samples at the county, state, or national scales, respectively. Farm-level analysis indicates that equivalent numbers of cores and distinct groups of cores (microplots) results in lowest soil C coefficients of variation for a variety of ecosystems. Our results suggest that grassland soil C changes can be precisely quantified using current technology at scales ranging from farms to the entire nation. (C) 2001 Elsevier Science Ltd. All rights reserved.