Effects of fertilization and stand age on N 2 O and NO emissions from 1 tea plantations : A site-scale study in a subtropical region using a 2 modified biogeochemical model 3

semanticscholar(2020)

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摘要
To meet increasing demands, tea plantations are rapidly expanding in China. Although the emissions of nitrous 11 oxide (N2O) and nitric oxide (NO) from tea plantations may be substantially influenced by soil pH reduction and intensive 12 nitrogen fertilization, process model-based studies on this issue are still rare. In this study, the process-oriented 13 biogeochemical model, Catchment Nutrient Management Model DeNitrification-DeComposition (CNMM-DNDC), was 14 modified by adding tea growth-related processes that may induce a soil pH reduction. Using a dataset for intensively 15 managed tea plantations at a subtropical site, the performances of the original and modified models for simulating the 16 emissions of both gases subject to different fertilization alternatives and stand ages were evaluated. Compared with the 17 observations in early stage of a tea plantation, the original and modified models showed comparable performances for 18 simulating the daily gas fluxes (with Nash-Sutcliffe index (NSI) of 0.10 versus 0.18 for N2O and 0.32 versus 0.33 for NO), 19 annual emissions (with NSI of 0.81 versus 0.94 for N2O and 0.92 versus 0.94 for NO) and annual direct emission factors 20 (EFds). The observations and simulations consistently demonstrated that short-term replacement of urea with oilcake 21 stimulated N2O emissions by ~62% and ~36% and mitigated NO emissions by ~25% and ~14%, respectively. The model 22 simulations resulted in a positive dependence of EFd of either gas against nitrogen doses, implicating the importance of 23 model-based quantification of this key parameter for inventory. In addition, the modified model with pH-related scientific 24 processes showed overall inhibitory effects on the gases emissions in the mid to later stages during a full tea lifetime. In 25 conclusion, the modified CNMM-DNDC exhibits the potential for quantifying N2O and NO emissions from tea plantations 26 under various conditions. Nevertheless, wider validation is still required for simulation of long-term soil pH variations and 27 emissions of both gases from tea plantations. 28 https://doi.org/10.5194/acp-2019-1069 Preprint. Discussion started: 3 March 2020 c © Author(s) 2020. CC BY 4.0 License.
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