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Global crop-specific nitrogen fertilization dataset in 1961-2020.

Wulahati AdalibiekeXiaoqing CuiHongwei CaiLiangzhi YouFeng Zhou
Published in: Scientific data (2023)
Nitrogen (N) is an important nutrient for crop growth. However, the overuse of N fertilizers has led to a series of devastating global environmental issues. Recent studies show that multiple datasets have been created for agricultural N fertilizer application with varied temporal or spatial resolutions, nevertheless, how to synchronize and use these datasets becomes problematic due to the inconsistent temporal coverages, spatial resolutions, and crop-specific allocations. Here we reconstructed a comprehensive dataset for crop-specific N fertilization at 5-arc-min resolution (~10 km by 10 km) during 1961-2020, including N application rate, types, and placements. The N fertilization data was segmented by 21 crop groups, 13 fertilizer types, and 2 fertilization placements. Comparison analysis showed that our dataset is aligned with previous estimates. Our spatiotemporal N fertilization dataset could be used for the land surface models to quantify the effects of agricultural N fertilization practices on food security, climate change, and environmental sustainability.
Keyphrases
  • climate change
  • human health
  • healthcare
  • primary care
  • risk assessment
  • heavy metals
  • machine learning
  • single molecule
  • electronic health record
  • sewage sludge
  • deep learning
  • data analysis
  • global health
  • case control