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Modelización de la capacidad de secuestro de carbono en suelos mediterráneos

Authors: Muñoz Rojas, M.;

Modelización de la capacidad de secuestro de carbono en suelos mediterráneos

Abstract

[ES]: Durante las últimas décadas, los cambios de uso del suelo han afectado en gran medida al proceso de calentamiento global a través de emisiones de CO2. No obstante, la captura o secuestro de carbono (C) en los ecosistemas terrestres podría contribuir a la disminución de las tasas de CO2 atmosférico a corto o medio plazo. En el marco del Protocolo de Kioto de las Naciones Unidas (1997), los gobiernos nacionales tienen la obligación de evaluar e informar sobre las emisiones y absorciones de CO2, lo que se refleja en los cambios producidos en los distintos reservorios de carbono. De esta forma, son necesarios estudios regionales para la evaluación los contenidos de carbono, siendo esencial la predicción del mismo en escenarios futuros de cambio climático para poder establecer un uso y manejo adecuado del suelo. Los modelos son herramientas de gran utilidad para la evaluación de los contenidos de carbono orgánico del suelo y su dinámica a diferentes escalas, así como para predecir las tendencias en el secuestro de carbono bajo distintos escenarios. Los modelos de predicción de C en los suelos son cada vez más utilizados como herramientas de ayuda a la decisión, en particular, en cuestiones relacionadas con el uso del suelo o el cambio climático. A pesar de que el área mediterránea muestra un alto potencial para el secuestro de C, son pocos los estudios que se han llevado a cabo en esta zona. En estudios previos, se han desarrollado diversos trabajos de modelización del C del suelo en combinación con escenarios de cambio climático, pero todavía son necesarias nuevas herramientas para mejorar las predicciones de las reservas de C orgánico del suelo.

[EN]: During the last decades, land use changes have largely affected the global warming process through emissions of CO2. However, C sequestration in terrestrial ecosystems could contribute to the decrease of atmospheric CO2 rates in the short- or medium-term. Under the Kyoto Protocol (UNFCCC, 1997), national governments are required to assess and report national atmospheric C emissions and removals reflected as changes in C pools. Accordingly, regional studies for assessing C stocks are needed. It is essential to predict soil organic C (SOC) stocks in future climate scenarios to establish adequate land use and management strategies. Models are effective tools for assessing SOC stocks and dynamics at different scales and predict C sequestration trends under projected scenarios. Soil C models are increasingly being used as decision support tools, in particular on issues related to land use or climate change. Although Mediterranean areas show a high potential for C sequestration, only a few studies have been carried out in Mediterranean systems. Several studies on soil C models in combination with climate change scenarios have been developed but new tools are needed to improve soil organic C stocks predictions.

Esta tesis doctoral ha sido parcialmente financiada por el Subprograma Torres Quevedo del antiguo Ministerio de Ciencia e Innovación, con número de expediente PTQ-10-02582, y por la Consejería de Economía, Innovación y Ciencia de la Junta de Andalucía a través del proyecto 851238 “Desarrollo del e-sistema CARBOSOIL para evaluar la capacidad de secuestro de carbono de los suelos en Andalucía. Integración de factores de mitigación al cambio climático en el sistema MicroLEIS”.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green