Soil carbon saturation, productivity, and carbon and nitrogen cycling in crop-pasture rotations

被引:34
作者
Virginia Pravia, M. [1 ,2 ]
Kemanian, Armen R. [2 ]
Terra, Jose A. [1 ]
Shi, Yuning [3 ]
Macedo, Ignacio [1 ]
Goslee, Sarah [4 ]
机构
[1] INIA Uruguay, Inst Nacl Invest Agr, Ruta 8 Km 281, Treinta Y Tres 33000, Uruguay
[2] Penn State Univ, Dept Plant Sci, University Pk, PA 16802 USA
[3] Penn State Univ, Dept Ecosyst Sci & Management, University Pk, PA 16802 USA
[4] USDA ARS, Pasture Syst & Watershed Management Res Unit, University Pk, PA 16802 USA
关键词
Soil organic matter; Agroecosystem modeling; Long-term experiments; Crop-pasture interseeding; ORGANIC-CARBON; NO-TILL; ECOLOGICAL INTENSIFICATION; LIVESTOCK SYSTEMS; MATTER; MODEL; SIMULATION; QUALITY; IMPACT; AGRICULTURE;
D O I
10.1016/j.agsy.2018.11.001
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Agricultural systems integrating perennial grass-legume pastures in rotation with grain crops sustain high crop yields while preserving soil organic carbon (C-s) with low nitrogen (N) fertilizer inputs. We hypothesize that C-s saturation in the topsoil may explain the favorable C and N cycling in these systems. We tested this hypothesis by evaluating and simulating three contrasting crop and pasture rotational systems from a 20-year no-till experiment in Treinta y Tres, Uruguay. The systems were: 1) Continuous annual cropping (CC); 2) crop-pasture rotation with two years of crops and four years of pastures (CP); and 3) perennial pasture (PP). Using the Cycles agroecosystems model, we evaluated the inclusion or exclusion of a C. saturation algorithm. The model simulated forage, soybean, and sorghum grain yields correctly, with low root mean square error (RMSE) of 1.5, 0.7 and 1.0 Mg ha(-1), respectively. Measurements show C-s accretion and C(s )decline for the first and second half of the experiment, respectively. The C-s accretion rate was highest for PP, while the C-s decline was highest for CC (1.3 vs - 0.6 Mg ha(-1) y(-1) of C). The model captured this C. dynamics and performed better when using the C-s saturation algorithm than when excluding it (RMSE 4.7 vs 6.8 Mg C ha(-1) and relative RMSE of 14% and 21% for the top 15-cm). The model with saturation simulated subsoil C-s distribution with depth well, and simulated faster N turnover and greater N availability for the subsequent grain crop in CP vs CC. The results suggest that C(s )saturation, and by extension soil organic N saturation, underpin the sustainability of crop-pasture rotations, and that modeling C-s saturation dynamics can be critical to reliably simulate complex crop-pasture rotational systems.
引用
收藏
页码:13 / 22
页数:10
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