Feed balances for ruminant livestock at national scale: case studies in Ethiopia, Burkina Faso and Nigeria
Code for manuscript titled "Feed balances for ruminant livestock at national scale: case studies in Ethiopia and Burkina Faso"
The code is set out in three workflows, one for downloading data (1Data-download), the second for estimating feed availability (2Feed-geoprocessing) and the third for estimating feed balances (3Balance-estimates).
The code is provided as is and will require minor debugging of file paths to reproduce our results.
The authors acknowledge the support of the Digital Earth Africa team in providing access to Sandbox compute resources for cropland extent data input. We also acknowledge the expertise and voluntary time taken by the anonymous reviewers, which has improved the quality of this publication.
This work was funded by the CGIAR Research Programme on Livestock and latterly through a TRAIN@ED fellowship to the lead author funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 801215 and the University of Edinburgh Data-Driven Innovation programme, part of the Edinburgh and South East Scotland City Region Deal. The TRAIN@ED fellowship was partly funded through ILRI’s Sustainable Livestock Systems program. The latter stages of data collation were funded in whole or part by the United States Agency for International Development (USAID) Bureau for Resilience and Food Security under Agreement # AID-OAA-L-15-00003 as part of Feed the Future Innovation Lab for Livestock Systems. Additional funding was received from Bill & Melinda Gates Foundation OPP#1175487. The research was conducted as part of the One CGIAR Sustainable Animal Productivity for Livelihoods, Nutrition and Gender Inclusion (SAPLING) Program based at ILRI which is supported by contributors to the CGIAR Trust Fund (https://www.cgiar.org/funders). Any Any opinions, findings, conclusions, or recommendations expressed here are those of the authors alone. Under the grant conditions of the Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author Accepted Manuscript version that might arise from this submission.