Quantifying nitrogen loss and water use via regionalization and multiple-year scenario simulations in the North China Plain

12Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: Intensive winter wheat–summer maize (Triticum aestivum L.–Zea mays L.) double-cropping systems in the North China Plain often show high nitrogen (N) losses and water use causing harmful threats to the environment. Methods: Continuous multiple-year simulations (31 years) with the HERMES model were used to spatially quantify N and water losses at county scale in order to identify best-practice management applications. Results: Results show simulated annual long-term N losses for the investigated Quzhou County, Hebei Province of 297 kg N ha−1 under common farmers practice treatment (FP) and 102 kg N ha−1 under optimized treatment including model derived N fertilizer recommendation and automated irrigation (OPTai). Total losses by N leaching, volatilization and denitrification were 57% (FP) and 40% (OPTai) of the applied fertilizer N, respectively. Spatial differences in N losses were found due to survey-specific differences of average N inputs among the townships. More than 260 kg N ha−1 y−1 of fertilizer input, N losses of 190 kg N ha−1 y−1, and around 116 mm y−1 of irrigation water could be saved on average by optimized treatments compared to farmers practice. Conclusion: On clay loam soil only OPTai could maintain crop yield without drought stress. The optimized treatments had the lowest N inputs and N losses but they did not seem to be able to sustain the organic N pools.

Cite

CITATION STYLE

APA

Michalczyk, A., Kersebaum, K. C., Dauck, H. P., Roelcke, M., Yue, S. C., Chen, X. P., & Zhang, F. S. (2020). Quantifying nitrogen loss and water use via regionalization and multiple-year scenario simulations in the North China Plain. Journal of Plant Nutrition and Soil Science, 183(6), 718–733. https://doi.org/10.1002/jpln.201900559

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free