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A Monte Carlo approach to estimate the uncertainty in soil CO(2) emissions caused by spatial and sample size variability
The soil CO(2) emission is recognized as one of the largest fluxes in the global carbon cycle. Small errors in its estimation can result in large uncertainties and have important consequences for climate model predictions. Monte Carlo approach is efficient for estimating and reducing spatial scale s...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4667816/ https://www.ncbi.nlm.nih.gov/pubmed/26664693 http://dx.doi.org/10.1002/ece3.1729 |