Spatial variability and optimal sampling strategy of soil respiration |
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Authors: | Mirco Rodeghiero Alessandro Cescatti |
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Affiliation: | 1. Centro di Ecologia Alpina, Viote del Monte Bondone, 38040 Trento, Italy;2. European Commission Joint Research Centre, Institute for Environment and Sustainability, I-21020 Ispra (Va), Italy |
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Abstract: | Soil respiration is the second largest flux of carbon between terrestrial ecosystems and the atmosphere and is affecting climate sensitivity and vulnerability of the terrestrial carbon stock. Monitoring soil carbon dioxide efflux is a complex task, due to the high spatial and temporal variability of the fluxes. For this reason, more than 30 sampling points are required to attain reliable estimates of ecosystem soil respiration. However, the number of sampled points is often limited by labour, time and budget constraints. Stratified sampling is an alternative to random sampling as a method to reduce the number of sampling points when an effective proxy variable is available for the definition of the strata. |
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Keywords: | Monte Carlo simulation Optimal sampling Soil respiration Spatial variability Stratified random sampling Subsample |
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