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Benchmarking environmental footprints of agricultural production in Huang-Huai-Hai Plain, China
This data collection includes APSIM simulation of crop yield, nitrogen and water management, soil nitrogen and carbon dynamics in Huang-Huai-Hai Plain, China. A winter-wheat and summer maize double cropping system was simulated under a series of management scenarios including nitrogen and water management.
Agricultural Land Management
Agro-ecosystem Function and Prediction
Environmental Impact Assessment
Soil Sciences not elsewhere classified
North China Plain
greenhouse gas emissions
CSIRO Data Licence
Luo, Zhongkui; Wang, Enli; Chen, Chao; Zhao, Zhigan (2019): Benchmarking environmental footprints of agricultural production in Huang-Huai-Hai Plain, China. v1. CSIRO. Data Collection.
All Rights (including copyright) CSIRO 2019.
Although the associated metadata is public, the files (if any) have not been approved for general release. Please phone or email the contact person for this collection to discuss access to the files.
Scientific benchmarks for sustainable agricultural intensification
The project aims to develop a framework for defining scientific benchmarks for sustainable agricultural intensification, and identify opportunities to increase crop yield while mitigating the negative impact of agriculture through improved management. The objectives are to develop:
(1) A systems simulation capability for assessing crop productivit... morey, water and nutrient use efficiencies, and offsite impact (including soil carbon decline, drainage, N leaching and greenhouse emissions) of representative agroecosystems in the North China Plain (NCP) of China and Murray Darling Basin (MDB) of Australia, using APSIM and existing data sets.
(2) A systems approach to couple dynamic modelling with life cycle assessment (LCA) and economic evaluation to identify optimal management practices that maximise system efficiency, advance crop yield, while minimising environmental footprints of agricultural production systems.
(3) A framework to define and reconcile multi-factor metrics for benchmarking sustainable intensification for representative crop production systems in both regions.
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