Modeling long-term soil carbon dynamics and sequestration potential in semi-arid agro-ecosystems
Autor: | Zhongkui Luo, Osbert Jianxin Sun, Caleb Smith, Enli Wang, ME Probert |
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Rok vydání: | 2011 |
Předmět: |
Atmospheric Science
Global and Planetary Change geography geography.geographical_feature_category business.industry chemistry.chemical_element Forestry Soil carbon Carbon sequestration Pasture Nitrogen Arid Agronomy chemistry Agriculture Soil water Environmental science Ecosystem business Agronomy and Crop Science |
Zdroj: | Agricultural and Forest Meteorology. 151:1529-1544 |
ISSN: | 0168-1923 |
DOI: | 10.1016/j.agrformet.2011.06.011 |
Popis: | Long-term soil carbon (C) dynamics in agro-ecosystems is controlled by interactions of climate, soil and agronomic management. A modeling approach is a useful tool to understand the interactions, especially over long climatic sequences. In this paper, we examine the performance of the Agricultural Production Systems sIMulator (APSIM) to predict the long-term soil C dynamics under various agricultural practices at four semi-arid sites across the wheat-belt of eastern Australia. We further assessed the underlying factors that regulate soil C dynamics in the top 30 cm of soil through scenario analysis using the validated model. The results show that APSIM is able to predict aboveground biomass production and soil C dynamics at the study sites. Scenario analyses indicate that nitrogen (N) fertilization combined with residue retention (SR) has the potential to significantly slow or reverse the loss of C from agricultural soils. Optimal N fertilization (Nopt) and 100% SR, increased soil C by 13%, 46% and 45% at Warra, Wagga Wagga and Tarelee, respectively. Continuous lucerne pasture was the most efficient strategy to accumulate soil C, resulting in increases of 49%, 57% and 50% at Warra, Wagga Wagga and Tarlee, respectively. In contrast, soil C decreases regardless of agricultural practices as a result of cultivation of natural soils at the Brigalow site. Soil C input, proportional to the amount of retained residue, is a significant predictor of soil C change. At each site, water and nitrogen availability and their interaction, explain more than 59% of the variation in soil C. Across the four sites, mean air temperature has significant (P |
Databáze: | OpenAIRE |
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