2014
DOI: 10.1016/s0187-6236(14)71101-4
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Preliminary analysis of the development of the Carbon Tracker system in Latin America and the Caribbean

Abstract: El sistema rastreador de carbono desempeñará un papel importante para mejorar la comprensión sobre las fuentes y sumideros de CO 2 , el intercambio de gases entre la atmósfera y el océano, y las emisiones de gases provenientes de incendios forestales y combustibles fósiles en América Latina y el Caribe. El objetivo del presente estudio es analizar las tendencias de los flujos de carbono en la biosfera y el océano, así como las emisiones procedentes de incendios forestales y el uso de combustibles fósiles en di… Show more

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Cited by 6 publications
(1 citation statement)
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“…For the case of the CA + C region there is a lack of information to properly parameterize models and estimate C budgets (Villarreal & Vargas, 2021). However, Jang et al (2014) situates the region as a small sink of 0.012 PgC year −1 for the period 2000-2009 using atmospheric inversions from Carbon-Tracker, but the constraint for the region is remarkably poor and data should be interpreted carefully. Based on these results, we postulate that land ecosystems across these regions have likely been C neutral over these two decades, with small annual deviations driven by interannual variability (IAV) in climate, fire and land use, but with high uncertainty due to lack of data for appropriate model parameterization and validation.…”
Section: Tablementioning
confidence: 99%
“…For the case of the CA + C region there is a lack of information to properly parameterize models and estimate C budgets (Villarreal & Vargas, 2021). However, Jang et al (2014) situates the region as a small sink of 0.012 PgC year −1 for the period 2000-2009 using atmospheric inversions from Carbon-Tracker, but the constraint for the region is remarkably poor and data should be interpreted carefully. Based on these results, we postulate that land ecosystems across these regions have likely been C neutral over these two decades, with small annual deviations driven by interannual variability (IAV) in climate, fire and land use, but with high uncertainty due to lack of data for appropriate model parameterization and validation.…”
Section: Tablementioning
confidence: 99%