Abstract
Aims
To understand and model the dynamics of litter decomposition in a climatically seasonal region subject to different modalities of land pasture management.
Methods
Decomposition was quantified through the litterbag technique. Sampling was performed at monthly intervals on an annual basis with replications for 2008, 2009 and 2010. Treatments were native vegetation (NV) and grazed (G), grazed and N-fertilized (GF), hayed (H), hayed and N-fertilized (HF) plots. For each combination of treatment and year, a sigmoid model was fitted. Parameters included remnant litter, steepness and inflection of decomposition curve.
Results
The sigmoid model adjusted excellently well the data. In considering the overall effect on litter decomposition, treatments differ among them as follows symbolically: ((GF > G) > (HF > H)) > > NV. Results are consistent across the yearly replications.
Conclusion
Pasture management (grazed versus hayed) is the primary factor controlling the rate of decomposition, whereas fertilization has a secondary role. The sigmoid model captures realistically the different phases of decomposition detected over a year, namely stationary at conditions of low temperature (later autumn and winter), accelerated at increasing temperature and humidity (transition from spring to summer) and decelerated when residual organic matter becomes less profitable and weather conditions more stringent (summer and earlier autumn).


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Acknowledgments
We are grateful to INTA, UNT and CONICET for facilitating our research. José Nasca and Pedro Pérez read an early version of our manuscript and made very useful comments. We would particularly like to thank one of the anonymous reviewers for the insightful comments on the paper. Fundings come from CIUNT project 2008–2009, INTA-AUDEAS-CONADEV 2009–20012 and ANPCyT project 2012–1910.
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Banegas, N., Albanesi, A.S., Pedraza, R.O. et al. Non-linear dynamics of litter decomposition under different grazing management regimes. Plant Soil 393, 47–56 (2015). https://doi.org/10.1007/s11104-015-2472-y
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DOI: https://doi.org/10.1007/s11104-015-2472-y