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| Titel |
Modelling soil organic carbon stocks in global change scenarios: a CarboSOIL application |
| VerfasserIn |
M. Muñoz-Rojas, A. Jordan, L. M. Zavala, F. A. González-Peñaloza, D. De la Rosa, R. Pino-Mejias, M. Anaya-Romero |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1726-4170
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| Digitales Dokument |
URL |
| Erschienen |
In: Biogeosciences ; 10, no. 12 ; Nr. 10, no. 12 (2013-12-13), S.8253-8268 |
| Datensatznummer |
250085479
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| Publikation (Nr.) |
 copernicus.org/bg-10-8253-2013.pdf |
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| Zusammenfassung |
| Global climate change, as a consequence of the increasing levels of
atmospheric CO2 concentration, may significantly affect both soil
organic C storage and soil capacity for C sequestration. CarboSOIL is an
empirical model based on regression techniques and developed as a
geographical information system tool to predict soil organic carbon (SOC) contents at different
depths. This model is a new component of the agro-ecological decision support
system for land evaluation MicroLEIS, which assists decision-makers in facing
specific agro-ecological problems, particularly in Mediterranean regions. In
this study, the CarboSOIL model was used to study the effects of climate change
on SOC dynamics in a Mediterranean region (Andalusia, S Spain). Different
downscaled climate models were applied based on BCCR-BCM2, CNRMCM3, and
ECHAM5 and driven by SRES scenarios (A1B, A2 and B2). Output data were linked
to spatial data sets (soil and land use) to quantify SOC stocks. The CarboSOIL
model has proved its ability to predict the short-, medium- and long-term
trends (2040s, 2070s and 2100s) of SOC dynamics and sequestration under
projected future scenarios of climate change. Results have shown an overall trend
towards decreasing of SOC stocks in the upper soil sections (0–25 cm and
25–50 cm) for most soil types and land uses, but predicted SOC stocks tend
to increase in the deeper soil section (0–75 cm). Soil types as Arenosols,
Planosols and Solonchaks and land uses as "permanent crops" and "open
spaces with little or no vegetation" would be severely affected by climate
change with large decreases of SOC stocks, in particular under the
medium–high emission scenario A2 by 2100. The information developed in this
study might support decision-making in land management and climate adaptation
strategies in Mediterranean regions, and the methodology could be applied to
other Mediterranean areas with available soil, land use and climate data. |
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