Preprints
https://doi.org/10.5194/essd-2025-411
https://doi.org/10.5194/essd-2025-411
01 Sep 2025
 | 01 Sep 2025
Status: this preprint is currently under review for the journal ESSD.

A spatially explicit dataset of agriculture liming across the contiguous United States

Samuel Shou-En Tsao, Tim Jesper Surhoff, Giuseppe Amatulli, Maya Almaraz, Jonathan Gewirtzman, Beck Woollen, Eric W. Slessarev, James E. Saiers, Christopher T. Reinhard, Shuang Zhang, Noah J. Planavsky, and Peter A. Raymond

Abstract. Agricultural lime has historically been applied to croplands in the United States to counteract soil acidification and enhance soil fertility, with important consequences for crop productivity and Earth’s carbon cycle. Previous work on agricultural liming has largely focused on either region-specific case studies or national-level estimates of total application rates, leaving a major gap in understanding the spatial variability in lime application. This study addresses this gap by presenting the first spatially explicit dataset of agricultural lime application across the contiguous United States. The dataset comprises state-level data for 1930–1950 and a more detailed county-level dataset for 1954–1987, enabling comprehensive spatial-temporal analyses at multiple scales. Counties in the Midwest region exhibited the highest total amounts of lime applied in the latter half of the twentieth century, reflecting intensive agricultural activity. These counties were characterized by higher overall lime application rates (amount of lime applied per unit of limed area each year) but relatively lower liming frequency (ratio of limed area to total agricultural land area each year). In contrast, counties in the southeastern coastal region exhibited lower lime application rates per unit of limed area but more frequent lime applications. We used a machine learning framework, to elucidate key environmental and agricultural drivers of lime application. Our results show that the total amount of lime applied, as well as the application rate and frequency, are strongly associated with regional climatic conditions and soil properties. However, we also found evidence that agricultural management practices (such as crop production, fertilizer use, and soil pH recommendations) played a key role in shaping liming applications. Spatiotemporal integration of the data product results in a revised national estimate of total lime application, with a range of 15–25 million tons (Mt) per year. This study establishes a critical observational baseline for assessing the potential of agricultural lime application as a climate mitigation strategy and highlights the need for further research into its long-term environmental impacts.

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Samuel Shou-En Tsao, Tim Jesper Surhoff, Giuseppe Amatulli, Maya Almaraz, Jonathan Gewirtzman, Beck Woollen, Eric W. Slessarev, James E. Saiers, Christopher T. Reinhard, Shuang Zhang, Noah J. Planavsky, and Peter A. Raymond

Status: open (until 08 Oct 2025)

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Samuel Shou-En Tsao, Tim Jesper Surhoff, Giuseppe Amatulli, Maya Almaraz, Jonathan Gewirtzman, Beck Woollen, Eric W. Slessarev, James E. Saiers, Christopher T. Reinhard, Shuang Zhang, Noah J. Planavsky, and Peter A. Raymond
Samuel Shou-En Tsao, Tim Jesper Surhoff, Giuseppe Amatulli, Maya Almaraz, Jonathan Gewirtzman, Beck Woollen, Eric W. Slessarev, James E. Saiers, Christopher T. Reinhard, Shuang Zhang, Noah J. Planavsky, and Peter A. Raymond

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Short summary
We created the first detailed map of how much agricultural lime has been used across the United States from 1930 to 1987. Lime helps improve soil health and crop growth. Our study shows that how and where lime is used depends on climate, soil, and farming practices. By using machine learning, we found patterns that help explain these differences. This work helps us better understand the environmental role of lime and its impact on farming and climate.
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