Benjamin Bukombe , Martin A. Bolinder , Gunnar Börjesson , Lorenzo Menichetti , Rong Lang , Keith Paustian , Thomas Kätterer
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引用次数: 0
Abstract
Long-term field experiments (LTEs) in which the effects of agricultural practices on soil organic carbon (SOC) dynamics have been quantified for the full soil profile are rare. We analysed 40–50-year data from four meta-replicated LTEs across Sweden comparing grass-clover ley-dominated rotations (LR) and cereal monocultures (CM; with or without crop residue retention) at four N fertilization rates, to quantify their effects on grain yield, C input and SOC dynamics in top- and subsoil. We found that grain yield was significantly higher in LR (3.5 ± 1.1 Mg ha−1) than in the CM (2.7 ± 1.1 Mg ha−1). Belowground C (BGC) inputs were identified as the major driver for SOC change. They were about three times higher in LR than in CM and explained 97 or 98 % of the variation in SOC change between rotations and N levels, respectively. Topsoil (0–20 cm) SOC content was consistently higher in LR than in CM and this difference increased over time. Topsoil SOC increased also with N application in CM, and 1 kg of N fertilizer was associated with approximately 1 kg of SOC increase. After 4–5 decades, we found significantly higher SOC stocks along the soil profiles in LR than in CM, 19.8 and 2.8 Mg C ha−1 at 0–25 and 25–60 cm depth, respectively. The results also show that SOC stocks are driven by interactions between agricultural management practices and site-specific soil properties. This should be considered when designing management strategies for SOC sequestration in agricultural systems.
期刊介绍:
Agriculture, Ecosystems and Environment publishes scientific articles dealing with the interface between agroecosystems and the natural environment, specifically how agriculture influences the environment and how changes in that environment impact agroecosystems. Preference is given to papers from experimental and observational research at the field, system or landscape level, from studies that enhance our understanding of processes using data-based biophysical modelling, and papers that bridge scientific disciplines and integrate knowledge. All papers should be placed in an international or wide comparative context.