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Mathias Neumann Andersen

Modelling agro-environmental variables under data availability limitations and scenario managements in an alluvial region of the North China Plain

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  • Kiril Manevski
  • Christen Duus Børgesen
  • Xiaoxin Li, CAS - Institute of Genetics and Developmental Biology, China
  • Mathias Neumann Andersen
  • Xiying Zhang, CAS - Institute of Genetics and Developmental Biology, China
  • Yanjun Shen, CAS - Institute of Genetics and Developmental Biology, China
  • Chunsheng Hu, CAS - Institute of Genetics and Developmental Biology, China

Single or multiple weather station data were combined with soil textural data ranging from low to high detail, i.e., point data from a field station, the FAO Digital Soil Map of the World and a comprehensive data from national soil survey, as input to the Daisy model to simulate and upscale crop yields, drainage and nitrogen leaching for an agroecosystem in the North China Plain. Increasing the detail of the weather data increased the spatial variation of all simulated variables and decreased their regional median. Regional crop yields were simulated well with high-detail input data, though at a weak response to data detail. Simulated regional drainage and nitrogen leaching, and their spatial variability, however, responded well and increased two-to threefold, but their regional medians were similar for medium- and high-detail soil data. This work demonstrates the importance of explicit consideration of weather and soil variability for agro-environmental simulation studies at regional scale.

Original languageEnglish
JournalEnvironmental Modelling & Software
Pages (from-to)94-107
Number of pages14
Publication statusPublished - Jan 2019

    Research areas

  • Crop yields, Drainage, Environmental geology, Mathematical model, Nitrogen leaching, Soil classification

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