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<p>Spatially explicit data on organic waste generation is limited, constraining efforts to reduce pollution and to plan for nutrient recovery and renewable energy infrastructure. We address this gap by providing a gridded, high-resolution (30-m by 30-m) dataset of livestock manure and food waste generation rates, along with associated nitrogen (N) and phosphorus (P) content, across Ontario, Canada for 2021. Manure estimates are derived from census livestock counts disaggregated to individual barns identified using aerial imagery. Food waste is estimated using population and employment data and sector-specific generation coefficients. By allocating livestock to geolocated barns and downscaling food waste to built-up areas, the dataset reveals local hotspots that are obscured in coarser administrative data. We find that 71% of manure is concentrated in just 25% of the producing area, with intensities exceeding 4,700 kg/ha/yr. Food waste shows similar clustering, with nearly 60% generated in 5.8% of the area. These spatial insights support precision siting of waste-to-resource infrastructure, enabling more effective pollution reduction and circular resource recovery.</p>

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A High-Resolution (30-m by 30-m) Gridded Dataset of Livestock Manure and Food Waste Generation in Ontario, Canada (2021)

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月22日

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  • Ushnik Mukherjee,
  • Jake Debruyn,
  • Juliane Mai,
  • Rebecca Saari,
  • Nandita B. Basu

摘要

Spatially explicit data on organic waste generation is limited, constraining efforts to reduce pollution and to plan for nutrient recovery and renewable energy infrastructure. We address this gap by providing a gridded, high-resolution (30-m by 30-m) dataset of livestock manure and food waste generation rates, along with associated nitrogen (N) and phosphorus (P) content, across Ontario, Canada for 2021. Manure estimates are derived from census livestock counts disaggregated to individual barns identified using aerial imagery. Food waste is estimated using population and employment data and sector-specific generation coefficients. By allocating livestock to geolocated barns and downscaling food waste to built-up areas, the dataset reveals local hotspots that are obscured in coarser administrative data. We find that 71% of manure is concentrated in just 25% of the producing area, with intensities exceeding 4,700 kg/ha/yr. Food waste shows similar clustering, with nearly 60% generated in 5.8% of the area. These spatial insights support precision siting of waste-to-resource infrastructure, enabling more effective pollution reduction and circular resource recovery.