Integrating periphyton dynamics into an agroecosystem model for rice paddy N footprint evaluation
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Updated: Oct 30, 2026

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Published on: September 6, 2018
Fengyun Yan1, Hao Liang1, Quanzhou Li1
1State Key Laboratory of Water Cycle and Water Security, Jiangsu Key Laboratory of Watershed Soil and Water Processes, College of Geography and Remote Sensing, Hohai University, Nanjing, China.
Abstract:
Periphyton at the soil-water interface regulates nitrogen (N) cycling in rice paddies, yet its role in multi-pathway N losses is overlooked in agroecosystem models, leaving a critical gap in assessing the integrated environmental N footprint (NF) of rice systems. The core challenge lies in capturing the seasonal sink-source transition of periphyton under coupled environmental controls and upscaling its heterogeneous N accumulation to regional scales. Here we incorporated a process-based periphyton module into the rice version of the soil Water Heat Carbon Nitrogen Simulator (WHCNS_Rice) and upscaled site-scale observations to watershed-scale application via a soil organic carbon-based parameter transfer function (μ0 = 6.05 + 5.77 × SOC, r = 0.79). The improved model, constrained by temporal measurements, published N-loss data, and field surveys from 14 paddy sites, reproduced the seasonal sink-source shift (r = 0.95) and the spatial heterogeneity of periphyton biomass N (PBN; mean 13.9 kg N ha-1, CV = 30.1%) at watershed scale. Periphyton decreased NH3 volatilization by 17.8%, while increasing denitrification, N leaching, and runoff N losses by 28.6%, 2.7%, and 7.0%, respectively, with crop N uptake remained nearly unchanged (+0.4%). As the reduction in NH3 volatilization dominated the integrated response, the yield-scaled NF declined by 5%, from 9.3 to 8.8 kg N-eq t-1 on average. The NF reduction scaled positively with PBN (r = 0.55, p < 0.001), with each 1 kg N ha-1 increase in PBN corresponding to a 0.02 kg N-eq t-1 decrease in NF, indicating greater mitigation potential in areas with larger PBN. These findings demonstrate that representing periphyton is essential for unbiased regional N footprint assessment, particularly in paddy fields with higher periphyton N storage, and provide a modelling framework to support region-specific evaluations.
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