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Modeling Regional Effects of Climate Change on Soil Organic Carbon in Spain

Soil organic C (SOC) stock assessments at the regional scale under climate change scenarios are of paramount importance in implementing soil management practices to mitigate climate change. In this study, we estimated the changes in SOC sequestration under climate change conditions in agricultural land in Spain using the RothC model at the regional level. Four Intergovernmental Panel on Climate Change (IPCC) climate change scenarios (CGCM2‐A2, CGCM2‐B2, ECHAM4‐A2, and ECHAM4‐B2) were used to simulate SOC changes during the 2010 to 2100 period across a total surface area of 2.33 × 104 km2. Although RothC predicted a general increase in SOC stocks by 2100 under all climate change scenarios, these SOC sequestration rates were smaller than those under baseline conditions. Moreover, this SOC response differed among climate change scenarios, and in some situations, some losses of SOC occurred. The greatest losses of C stocks were found mainly in the ECHAM4 (highest temperature rise and precipitation drop) scenarios and for rainfed and certain woody crops (lower C inputs). Under climate change conditions, management practices including no‐tillage for rainfed crops and vegetation cover for woody crops were predicted to double and quadruple C sequestration rates, reaching values of 0.47 and 0.35 Mg C ha−1 yr−1, respectively.Core Ideas The model predicted a general increase in SOC stocks by 2100 in all climate scenarios. Irrigated crops showed the largest SOC stocks. Carbon inputs were the most important driver for SOC stocks. No‐tillage and cover crops have at least doubled SOC sequestration rates.
Soil, Spain, Climate Change, Agriculture, Models, Theoretical, Carbon
Soil, Spain, Climate Change, Agriculture, Models, Theoretical, Carbon
citations 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).21 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.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10% visibility views 387 download downloads 107 - 387views107downloads
Data source Views Downloads DIGITAL.CSIC 387 107


