2017
DOI: 10.1016/j.agee.2016.11.024
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Increased uncertainty in soil carbon stock measurement with spatial scale and sampling profile depth in world grasslands: A systematic analysis

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Cited by 38 publications
(23 citation statements)
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“…Moreover, the SOCD of the ESET region at 0–30 cm was similar to that of the Australian temperate grassland (4.9 kg/m 2 ) [ 6 ], New Zealand grassland (6.83 kg/m 2 ) [ 50 ], Iranian grassland (6.33 kg/m 2 )[ 51 ] and American temperate grassland (5.5 kg/m 2 ) [ 52 ]. These values are consistent with the global grassland soil organic carbon storage patterns derived from model simulations [ 53 , 54 ], which show that the soil organic carbon storage of tropical savannah is lower than that of temperate grasslands and that colder grasslands exhibit higher soil organic carbon storage ( Table 3 ).…”
Section: Discussionsupporting
confidence: 87%
“…Moreover, the SOCD of the ESET region at 0–30 cm was similar to that of the Australian temperate grassland (4.9 kg/m 2 ) [ 6 ], New Zealand grassland (6.83 kg/m 2 ) [ 50 ], Iranian grassland (6.33 kg/m 2 )[ 51 ] and American temperate grassland (5.5 kg/m 2 ) [ 52 ]. These values are consistent with the global grassland soil organic carbon storage patterns derived from model simulations [ 53 , 54 ], which show that the soil organic carbon storage of tropical savannah is lower than that of temperate grasslands and that colder grasslands exhibit higher soil organic carbon storage ( Table 3 ).…”
Section: Discussionsupporting
confidence: 87%
“…At present, there is a lack of large‐scale predictions (Maillard, McConkey, & Angers, ) Although the application of RS and multivariate methods for large‐scale predictions has improved data utilization efficiency, large‐scale predictions display a lower predictive accuracy than small‐scale predictions (Croft, Kuhn, & Anderson, ; de Araujo Barbosa, Atkinson, & Dearing, ; Grinand et al, ). It is not easy to map SOC contents at a very high resolution (<1 m) at a large scale for either data acquisition or model robustness.…”
Section: Discussionmentioning
confidence: 99%
“…At present, there is a lack of large-scale predictions (Maillard, McConkey, & Angers, 2017) Although the application of RS and multivariate methods for large-scale predictions has improved data utilization efficiency, large-scale predictions display a lower predictive Note. RMSE referred to as root mean square error of observed and predicted SOC/biomass.…”
Section: Challenges In Assessing Land Degradation At a Large Scalementioning
confidence: 99%
“…Furthermore, the cost and precision of measuring changes in soil C stocks and fluxes must be assessed at different scales(M€ akip€ a€ a, Hakkinen, Muukkonen, & Peltoniemi, 2008). The uncertainty involved in measuring SOC stocks, especially in relation to spatial scale(Maillard, McConkey, & Angers, 2017), must be minimized by developing appropriate sampling strategies.…”
mentioning
confidence: 99%