Spatially explicit database on crop-livestock management, soil, climate, greenhouse gas emissions and mitigation potential for all of Bangladesh

Tek B. Sapkota* (Corresponding Author), Fahmida Khanam, Gokul Prasad Mathivanan, Sylvia Vetter, Sk Ghulam Hussain, Anne Laure Pilat, Sumona Shahrin, Md Khaled Hossain, Nathu Ram Sarker, Timothy J. Krupnik

*Corresponding author for this work

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This data article provides spatially explicit data on greenhouse gas (GHG) emissions and mitigation potential at various administrative levels for the whole of Bangladesh. The results arising from analysis of this database are presented in research article “Quantifying opportunities for greenhouse gas emissions mitigation using big data from smallholder crop and livestock farmers across Bangladesh” [1]. We collected crop and livestock management data and associated soil and climatic data from variety of primary and secondary sources outlined below in our methodology. The datafiles on crops and livestock contain model outputs for three greenhouse gases (CO2, CH4 and N2O) and their global warming potential, which are linked, to the information on crop/livestock management, soil and climatic conditions presented in the supplementary data of the associated manuscript. The datafiles on mitigation potential contain district-level annual GHG mitigation potential by 2030 and 2050 segregated by different crops/livestock types and mitigation options. This dataset is useful for Bangladesh's GHG accounting from the agricultural sector, and can be used to update its nationally determined contributions. Administrative level emissions and mitigation potential estimates segregated by crop-livestock types and mitigation options are useful to prioritize agricultural research and development interventions consistent with food security and environmental goals and to organize agricultural extension and support services to better inform farmers on food production and move towards GHG mitigation goals
Original languageEnglish
Article number107225
Number of pages5
JournalData in brief
Early online date14 Jun 2021
Publication statusPublished - 1 Aug 2021

Bibliographical note

Acknowledgments: The International Maize and Wheat Improvement Center (CIMMYT) carried out this work with support of the CGIAR research program on Climate Change, Agriculture and Food Security (CCAFS) and the Climate Services for Resilient Development (CSRD; for South Asia project supported by USAID. This work was also supported by the USAID and Bill and Melinda Gates Foundation (BMGF) supported Cereal Systems Initiative for South Asia (CSISA; CCAFS’ work is supported by CGIAR Fund Donors and through bilateral funding agreements. For details please visit The views expressed in this paper cannot be taken to reflect the official opinions of CCAFS, USAID, or BMGF, and shall not be used for advertising.


  • Crop
  • livestock
  • greenhouse gas
  • mitigation
  • climates smart agriculture


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