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A recommended nitrogen application strategy for high crop yield and low environmental pollution at a basin scale

Authors :
Dantong Liu
Jia Xi
Changchun Song
Zhuohang Xin
Yongzheng Lu
Chong Fang
Source :
The Science of the total environment. 792
Publication Year :
2021

Abstract

Mitigating environmental pollution and sustaining grain production have been foundational issues in sustainable development, however, ascertaining the optimal balance remains poorly investigated. This study used the Soil and Water Assessment Tool (SWAT) model to simulate crop growth and nitrogen loss, established the mapping relationship between nitrogen input to yield and water quality, and proposed a general method to determine a nitrogen application strategy for high yield and low pollution at a basin scale. Lake Xiaoxingkai basin, which is the primary maize producing area in China as well as an internationally important wetland distribution area, was used as a case study. First, we designed application scenarios for 10 base fertilizers (B1–B10) and 10 topdressing fertilizers (T1–T10) and evaluated their combined effects of maize growth to identify the critical nitrogen fertilizer rates determined under fixed and dynamic base/topdressing ratios. Then, the critical base and topdressing fertilizer rates were determined. Based on the mapping relationship between nitrogen fertilizer rate and nitrogen loss, we then revealed water quality at the basin outlet under the critical base and topdressing fertilizer rates. Finally, we proposed alternative nitrogen application strategies for high yield and low pollution while considering the different preferences of decision-makers for the economy, agriculture, and environment. We found that adjusting the ratio of base to topdressing fertilizer may create a win-win situation for agriculture and the environment, which will provide a scientific basis for sustainable development.

Details

ISSN :
18791026
Volume :
792
Database :
OpenAIRE
Journal :
The Science of the total environment
Accession number :
edsair.doi.dedup.....34c69f03bc46330cff862a6cce3364f2