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Quantifying opportunities for greenhouse gas emissions mitigation using big data from smallholder crop and livestock farmers across Bangladesh
| Content Provider | Consultative Group on International Agricultural Research (CGIAR) |
|---|---|
| Author | Sapkota, Tek B. Khanam, Fahmida Mathivanan, Gokul Prasad Vetter, Sylvia Hussain, Sk. Ghulam |
| Organization | IFPRI - Cereal Systems Initiative for South Asia (CSISA) |
| Spatial Coverage | Bangladesh |
| Description | Climate change is and will continue to have significant implications for agricultural systems. While adaptation to climate change should be the priority for smallholder production systems, adoption of cost-effective mitigation options in agriculture not only contributes to food security but also reduces the extent of climate change and future adaptation needs. Utilizing management data from 16,413 and 12,548 crop and livestock farmers and associated soil and climatic data, we estimated GHG emissions generated from crop and livestock production using crop and livestock models, respectively. Mitigation measures in crop and livestock production, their mitigation potential and cost/benefit of adoption were then obtained from literature review, stakeholder consultations and expert opinion. We applied the identified mitigation measures to a realistic scale of adoption scenario in the short- (2030) and long-term (2050). Our results were then validated through stakeholders consultations. Here, we present identified mitigation options, their mitigation potentials and cost or benefit of adoption in the form of Marginal Abatement Cost Curves (MACC). Based on our analysis, total GHG emissions from agricultural sector in Bangladesh for the year 2014–15 is 76.79 million tonne (Mt) carbon-dioxide equivalent (CO2e). Business-as-usual GHG emissions from the agricultural sector in Bangladesh are approximately 86.87 and 100.44 Mt CO2e year−1 by 2030 and 2050, respectively. Adoption of climate-smart crop and livestock management options to reduce emissions considering a realistic adoption scenario would offer GHG mitigation opportunities of 9.51 and 14.21 Mt CO2e year−1 by 2030 and 2050, respectively. Of this mitigation potential, 70–75% can be achieved through cost-saving options that could benefit smallholder farmers. Realization of this potential mitigation benefit, however, largely depends on the degree to which supportive policies and measures can encourage farmers' adoption of the identified climate smart agricultural techniques. Therefore, government should focus on facilitating uptake of these options through appropriate policy interventions, incentive mechanisms and strengthening agricultural extension programs. |
| Sponsorship | United States Agency for International Development Bill & Melinda Gates Foundation CGIAR Trust Fund |
| Related Links | https://cgspace.cgiar.org/items/759222c3-b7bb-4fe0-ac17-2fa2504c00f7 |
| File Format | |
| ISSN | 00489697 |
| DOI | 10.1016/j.scitotenv.2021.147344 |
| Journal | Science of the Total Environment |
| Issue Number | September 2021 |
| Volume Number | 786 |
| Language | English |
| Publisher | Elsevier |
| Access Restriction | Open |
| Rights License | CC-BY-NC-ND-4.0 |
| Subject Keyword | Policies, Institutions, and Markets Climate Change, Agriculture and Food Security Greenhouse Gas Emissions Climate Change Mitigation Crops Smallholders Livestock Farmers Climate-smart Agriculture Data Big Data |
| Content Type | Text |
| Resource Type | Article |
| Subject | Agronomy and Crop Science Food Science Plant Science |
