AI Article Synopsis

  • Reliable estimates of climate change's impact on crop production are essential for evaluating food system sustainability.
  • A new global dataset combines existing meta-analyses and recent literature, covering 8703 simulations from 202 studies on major crops like maize, rice, soybean, and wheat from 1984 to 2020.
  • This dataset allows for better evaluation of climate change effects on crop yields in 91 countries under various emission scenarios, aiding data-driven machine learning applications.

Article Abstract

Reliable estimates of the impacts of climate change on crop production are critical for assessing the sustainability of food systems. Global, regional, and site-specific crop simulation studies have been conducted for nearly four decades, representing valuable sources of information for climate change impact assessments. However, the wealth of data produced by these studies has not been made publicly available. Here, we develop a global dataset by consolidating previously published meta-analyses and data collected through a new literature search covering recent crop simulations. The new global dataset builds on 8703 simulations from 202 studies published between 1984 and 2020. It contains projected yields of four major crops (maize, rice, soybean, and wheat) in 91 countries under major emission scenarios for the 21st century, with and without adaptation measures, along with geographical coordinates, current temperature and precipitation levels, projected temperature and precipitation changes. This dataset provides a solid basis for a quantitative assessment of the impacts of climate change on crop production and will facilitate the rapidly developing data-driven machine learning applications.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8850443PMC
http://dx.doi.org/10.1038/s41597-022-01150-7DOI Listing

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