Spatial variability of soil organic carbon in grasslands: implications for detecting change at different scales
Data(s) |
2002
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Resumo |
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. |
Formato |
application/pdf |
Identificador | |
Publicador |
Elsevier |
Relação |
http://eprints.qut.edu.au/37787/1/cona2360.pdf DOI:10.1016/S0269-7491(01)00265-2 Conant, RT & Paustian, K (2002) Spatial variability of soil organic carbon in grasslands: implications for detecting change at different scales. Environmental Pollution, 116(Suppl.), S127-S135. |
Fonte |
Institute for Sustainable Resources |
Palavras-Chave | #060200 ECOLOGY #Soil carbon; Grasslands; USDA/NRCS pedon database; Soil sampling; Spatial variability |
Tipo |
Journal Article |