Crop residue management for cereals on a 0.5 degree global grid and an annual timescale (1997-2021).
Crop residue production is calculated using three different methods (for details see the article: Smerald et al 2023, A global dataset for the production and usage of cereal residues in the period 1997-2021 (submitted to Scientific Data journal)).
Management of these residues is split into 4 categories:
The burning of crop residues is calculated via two different methods and the requirements for livestock feed by three different methods. Residues not exported from the field (i.e. burnt, livestock or other) are assumed to be left on the field.
In addition to the data supplied in the folder 'input data', it is necessary to supply the following (larger) datasets:
Global Distribution of Ruminant Livestock Production Systems (GRPS 5) https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/WPDSZE
Gridded Livestock of the World (GLW 3) https://dataverse.harvard.edu/dataverse/glw_3
SPAM 2010 (production and harvested area) https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/PRFF8V
GFED4s https://www.geo.vu.nl/~gwerf/GFED/GFED4/
The three notebooks should be run in order.
'1_crop_residue_dataset_creator.ipynb' creates intermediate 'raw' datasets for crop residue production, burning, livestock use and other use in each grid cell.
'2_crop_residue_analysis.ipynb' takes the results of '1_crop_residue_dataset_creator.ipynb' as input and converts the raw datasets into a set of final output datasets. Crop residue usage is constrained by production and local trade is included. Multiple datasets are created due to the variety of methods considered (19 in total, corresponding to 18 possible method combinations and one mean dataset which is considered the main result).
'3_crop_residue_results.ipynb' makes plots of the datasets created in '2_crop_residue_analysis.ipynb' and compares the datasets to literature values.
10.5281/zenodo.7843730