Assessment of Climate Change Impact on Water Requirement and Rice Productivity

Nguessan, KA; Adahi, Botou; Konan-Waidhet, Arthur Brice; Satoh, Masayoshi; Assidjo, Nogbou Emmanuel

doi:10.1016/j.rsci.2023.03.010

Cited by 4 publications

(4 citation statements)

References 124 publications

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“…Previous studies have implemented integration between climate-hydrological-crop models in several countries [ 25 , [133] , [134] , [135] , [136] , [137] , [138] , [139] , [140] , [141] , [142] , [143] , [144] , [145] , [146] , [147] , [148] ]. For example, a study from Becker et al (2023) [ 133 ] in Pakistan's Punjab region utilized an agro-hydrological model (SWAT) and biophysical crop models (APSIM) to predict future crop production, including rice, cotton, and maize, under future climate change scenarios (RCP 4.5 and RCP 8.5).…”

Section: Modeling Approachmentioning

confidence: 99%

“…According to previous studies, the multimodelling approach offers numerous benefits in studying the impacts of climate change on agricultural systems, as illustrated in Fig. 1 [ 133 , 134 , 136 , 139 , 149 ]. Firstly, this approach provides a comprehensive understanding of the complex interactions between climate variables, hydrological processes, and crop growth.…”

Section: Modeling Approachmentioning

confidence: 99%

“…However, it is important to note that the output generated by GCMs cannot be directly applied to regional studies. The reliability of results obtained from climate models is influenced by several factors, including the chosen scenarios, models, time periods, and number of predicted generations [ 139 ]. This limitation arises from the inherent challenges in adequately representing and simulating local-scale processes and the coarse spatial resolution of GCMs, resulting in high uncertainties results.…”

Section: Challenges and Opportunities Of Modelling Approaches In Indo...mentioning

confidence: 99%

“…Crop models are crucial in understanding the complex interplay between crops, soil, water, and the atmosphere, providing valuable insights for research, crop management, policy formulation, and adaptation strategies [ 135 , 139 , 158 ]. The global significance of crop models is evident in their application for assessments, evaluations, mitigation strategies, and the identification of favorable policies to address climate change [ 21 , 110 , 161 ].…”

Section: Challenges and Opportunities Of Modelling Approaches In Indo...mentioning

confidence: 99%

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Evaluating the effect of climate change on rice production in Indonesia using multimodelling approach

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Telaumbanua

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Section: Modeling Approachmentioning

confidence: 99%

Section: Modeling Approachmentioning

confidence: 99%

Section: Challenges and Opportunities Of Modelling Approaches In Indo...mentioning

confidence: 99%

Section: Challenges and Opportunities Of Modelling Approaches In Indo...mentioning

confidence: 99%

See 2 more Smart Citations

Evaluating the effect of climate change on rice production in Indonesia using multimodelling approach

Ansari,

Pranesti,

Telaumbanua

et al. 2023

Heliyon

View full text Add to dashboard Cite

Assessment of climate change impact on wheat water demand and yield in Setif, Algeria

Bouregaa,

Chetioui

2024

Preprint

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Understanding the potential impacts of climate change on crop water demand and yield is crucial for developing effective adaptation strategies and ensuring food security. This study investigates the impacts of climate change on wheat water demand, irrigation requirements, and yield in the semi-arid Setif region of Algeria. Utilizing observed climate data (1995–2014) and the CROPWAT model, a baseline for wheat water use and potential yield reduction was established. Future projections were developed using an ensemble of 11 CMIP6 global climate models under four Shared Socioeconomic Pathways (SSP2-1.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5) across four time horizons (2030, 2050, 2070, and 2090). Results indicate a consistent increase in crop water requirement (CWR) across all scenarios and time horizons, primarily driven by rising temperatures. Irrigation water requirements (IWR) exhibit a more complex pattern, with increasing needs during critical growth stages, especially under high-emission scenarios. Yield reductions are projected to be highly dependent on soil type, with light soils experiencing significant losses exceeding 50% by 2090 under SSP3-7.0 and SSP5-8.5. The study highlights the increasing vulnerability of wheat production to water stress and the need for proactive adaptation measures, such as drought-tolerant cultivars, efficient irrigation technologies, and sustainable water management policies.

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Assessing climate change impacts on irrigation water requirements in the Lower Mahanadi Basin: A CMIP6-based spatiotemporal analysis and future projections

Kumari,

Jaiswal,

Singh

2024

Journal of Water and Climate Change

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Climate change heightens India's agricultural risks, particularly in nations like India heavily reliant on farming. Previous studies focused on Coupled Model Intercomparison Project Phase (CMIP3) and (CMIP5) scenarios for large river basins, but the heightened risk of local climate changes poses a significant threat to smaller basins, notably affecting crops. This study investigates the spatiotemporal dynamics of climate change impacts on paddy crop irrigation in India's Lower Mahanadi Basin, utilizing the latest general circulation models (GCMs) from the CMIP6, focuses on two emission scenarios, SSP585 and SSP370. Thirteen models were analysed, top six were selected based on statistical criteria like PBIAS, NSE, R2, RSR, and RMSE. Models project climate changes for near- (2025–2050), mid- (2051–2075), and far-future (2076–2100) periods against a baseline (1981–2014), investigating spatiotemporal variations in rainfall, temperature, and irrigation water requirements (IWRs) in the region. In both scenarios, future mean seasonal rainfall is expected to increase compared with the baseline. SSP370 projects a 23.7% rise in minimum rainfall, while maximum rainfall varies by 11.5%. SSP585, on the other hand, projects a 9.53% decrease in maximum IWR and a 28.9% increase in maximum rainfall compared with the baseline. Both scenarios anticipate a 3–4 °C temperature increase in the far-future.

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Assessment of Climate Change Impact on Water Requirement and Rice Productivity

Cited by 4 publications

References 124 publications

Evaluating the effect of climate change on rice production in Indonesia using multimodelling approach

Evaluating the effect of climate change on rice production in Indonesia using multimodelling approach

Assessment of climate change impact on wheat water demand and yield in Setif, Algeria

Assessing climate change impacts on irrigation water requirements in the Lower Mahanadi Basin: A CMIP6-based spatiotemporal analysis and future projections

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