Pandemic or Environmental Socio-Economic Stressors Which Have Greater Impact on Food Security in the Barishal Division of Bangladesh: Initial Perspectives from Agricultural Officers and Farmers
Bibliographic record
Abstract
The COVID-19 pandemic and subsequent protectionary lockdowns have had a dramatic impact on agricultural production globally. Barishal division is the ‘grain-basket’ of Bangladesh and a main rice cultivation centre within the country. This study captures perspectives on the environmental socioeconomic stressors impacting primary production in the coastal region of Barishal, and the impact of the first wave of the global pandemic. In our methodology, a cross-sectional survey is carried out amongst agriculture officers and farmers focusing on land management practices, environmental stressors, and the consequences of the pandemic on winter crop harvests and wet season production. A total number of 234 people participated, of which 31 were agriculture officers and 203 were farmers. Government officers completed an online questionnaire, while farmer responses were collected through Focus Group Discussion. The results show that despite the lockdown, 76% of responders claimed that they had harvested more than 80% of the cultivated winter rice. Other crops, such as fruits and vegetables, were less successfully returned. Despite food production pressures, land capacity was not fully utilised, with a significant/notable proportion of fields left fallow, principally due to periodic flooding events that sufferer concurrently from soil organic matter depletion. Upazila, not severely waterlogged, had salinity problems to contend with. While transportation restrictions and labour shortages were key constraints arising from the impact of COVID-19 on both agricultural production and post harvesting (processing, distribution, and utilisation). Current storage facilities for perishable produce, such as fruit, were found to be lacking, which further compounded access to such food items. The COVID-19 pandemic shocked agricultural productivity and food supply within the Barishal division. However, despite managing to return a successful rice harvest during the lockdown, it was found that the pre-existing environmental stressors arising from cyclones and flooding continued to be the primary threat to agriculture, even during a global pandemic. Our findings have been used to inform management options to increase resilience in the region.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".