Trajectories of cropping system intensification under changing environment in south-west coastal Bangladesh

Jamal, Md Roushon; Kristiansen, Paul; Kabir, J.; Kumar, Lalit; Bruyn, Lisa Lobry de

doi:10.1080/14735903.2021.1975436

Cited by 14 publications

(6 citation statements)

References 67 publications

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“…Mixed farming systems and polyculture have also become more common with aquaculture (mainly shrimp and prawns) and some livestock husbandry [115]. Infrastructure adaptations include embankment, barrages, dams, roads, re-excavation, repair of drainage canals, dredging of rivers, and setting up buried irrigation and drainage pipes [116].…”

Section: Adaptation Strategies and Policy Supportmentioning

confidence: 99%

Challenges and Adaptations for Resilient Rice Production under Changing Environments in Bangladesh

Jamal

Kristiansen

Kabir

et al. 2023

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Rice-based food production is crucial for food security, socio-political stability, and economic development in Bangladesh. However, climate and environmental changes pose serious challenges to sustainable rice production in the country. This review paper critically reviews the status, challenges, and adaptation opportunities of Bangladeshi rice systems in changing environmental, demographic, and socio-economic settings. A mixed-methods approach (quantitative summary of secondary data on rice production, environmental changes, impact on rice productivity; and qualitative thematic synthesis) was used to review adaptation for resilient rice production. Significant agronomic and environmental challenges to rice-based cropping in Bangladesh are posed by rising temperatures, anomalous rainfall patterns, extreme weather, and increasing salinisation. Rice production, availability, and access have been further compromised by decreasing arable areas, labour shortages, crop diversification, and low profitability. Farmers are adapting through autonomous and centrally planned strategies such as efficient irrigation and input use, stress-tolerant cultivars, mechanisation, and income diversification. However, profitable and sustainable adaptation requires broader facilitation by the government (e.g., infrastructure, financial incentives) and agribusiness (e.g., extension services, contracting). This review paper recommends research and development support for efficient irrigation management and stress-tolerant cultivars, enabling policy initiatives, and equitable value chain participation. The insights of the review can be applied to policymakers to target policy design and decision-making for a sustainable rice system in years to come.

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Section: Adaptation Strategies and Policy Supportmentioning

confidence: 99%

Challenges and Adaptations for Resilient Rice Production under Changing Environments in Bangladesh

Jamal

Kristiansen

Kabir

et al. 2023

Land

Self Cite

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“…United Kingdom, Germany, and South Africa complete the list of authors' countries appearing in more than 20 papers. Likewise, the highest co-authors' collaboration is exemplified in three main clusters, where the one co-led by the United States (Joshi et al 2019) and Australia (Jamal et al 2021) is the most relevant in terms of geographical interdependence, and, together with the cluster led by China and Germany (Abid et al 2019, Sorgho et al 2020, make most than one-third of the collection since 2018. China has the maximum number of single country papers.…”

Section: Authorship and Sourcesmentioning

confidence: 99%

On farmers’ perceptions of climate change and its nexus with climate data and adaptive capacity. A comprehensive review

Ricart

Castelletti

Gandolfi

2022

Environ. Res. Lett.

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Farmers’ perception of climate change is crucial in adaptation intention and process. However, farmers’ perceptions may not be timely, accurate and systematically consistent with the direction and significance of observational records. Although some research compared farmers’ perceptions and climate data, little attention has been paid to comprehensibly analyse both data sources discrepancies based on empirical studies results. By combining bibliometrics and a systematic review approach, we identify which approaches are used to compare perceived and observed data, how both patterns have been mutually evolved, which factors determine their (in)consistency, and if their accordance and robustness affect farmers’ adaptive capacity. We analyse a portfolio of 147 papers collected from the Scopus library catalogue since 2000. The bibliometric analysis was coupled with an exploratory analysis of 98 papers selected from the original portfolio. The literature is extensive, fast-growing, and spans several disciplines. We identify four consolidated research lines: i) perceived risk and farmers’ adaptive capacity nexus, ii) crop vulnerability due to temperature increase and erratic rainfall patterns, iii) forecasting use and influence in farmers’ decisions, and iv) climate change awareness conditioning farmers’ profiles. Nonetheless, we observe some research gaps: 1) a conceptual mismatch in ‘normal pattern’ or ‘drought’ meaning, 2) poor or limited data from meteorological stations, 3) overlook or oversimplification of local knowledge in describing perception, 4) farmers’ memory weaknesses to keep track of climate alterations, and 5) a geographical dissonance in favour of Global South regions. Our science-metric study also reveals some research questions to be consolidated: Can the perception of extreme events increase climate change awareness? Can greater awareness reduce discrepancy with observed data? How do heuristics and socio-psychological filters influence farmers’ awareness and interpretation of climate data? We suggest putting major efforts into reinforcing these research lines as part of a novel domain-dependent trend to reduce the discrepancy.

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“…In contrast, the channel-floodplain complexes are between 8 and 23 m, and the Himalayan piedmont plain is between 30 and 45 m. The subsurface lithology of the northwest hydrological zone varies considerably. The Barind Tract is primarily a drought-prone water-deficit zone, which often adversely affects agricultural crop output and the inhabitants' way of life in the studied area [29]. In the district of Bogra, the predominant soil texture is silty loam and clay loam; in Rajshahi, clay loam; and in Rangpur, silty loam.…”

Section: Case Study Areamentioning

confidence: 99%

Advanced Hybrid Metaheuristic Machine Learning Models Application for Reference Crop Evapotranspiration Prediction

et al. 2022

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Hybrid metaheuristic algorithm (MA), an advanced tool in the artificial intelligence field, provides precise reference evapotranspiration (ETo) prediction that is highly important for water resource availability and hydrological studies. However, hybrid MAs are quite scarcely used to predict ETo in the existing literature. To this end, the prediction abilities of two support vector regression (SVR) models coupled with three types of MAs including particle swarm optimization (PSO), grey wolf optimization (GWO), and gravitational search algorithm (GSA) were studied and compared with single SVR and SVR-PSO in predicting monthly ETo using meteorological variables as inputs. Data obtained from Rajshahi, Bogra, and Rangpur stations in the humid region, northwestern Bangladesh, was used for this purpose as a case study. The prediction precision of the proposed models was trained and tested using nine input combinations and assessed using root mean square error (RMSE), mean absolute error (MAE), and Nash–Sutcliffe efficiency (NSE). The tested results revealed that the SVR-PSOGWO model outperformed the other applied soft computing models in predicting ETo in all input combinations, followed by the SVR-PSOGSA, SVR-PSO, and SVR. It was found that SVR-PSOGWO decreases the RMSE of SVR, SVR-PSO, and SVR-PSOGSA by 23%, 27%, 14%, 21%, 19%, and 5% in Rangpur and Bogra stations during the testing stage. The RMSE of the SVR, SVR-PSO, and SVR-PSOGSA reduced by 32%, 20%, and 3%, respectively, employing the SVR-PSOGWO for the Rajshahi Station. The proposed hybrid machine learning model has been recommended as a potential tool for monthly ETo prediction in a humid region and similar climatic regions worldwide.

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Trajectories of cropping system intensification under changing environment in south-west coastal Bangladesh

Cited by 14 publications

References 67 publications

Challenges and Adaptations for Resilient Rice Production under Changing Environments in Bangladesh

Challenges and Adaptations for Resilient Rice Production under Changing Environments in Bangladesh

On farmers’ perceptions of climate change and its nexus with climate data and adaptive capacity. A comprehensive review

Advanced Hybrid Metaheuristic Machine Learning Models Application for Reference Crop Evapotranspiration Prediction

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