Islam H M Touhidul, Mainuddin Mohammed, Affan Abu, Ahmed Sharif, Rahman Md Abiar, Sadeque Abdus, Almazroui Mansour, Rahman S M Hasibur, Kamruzzaman Mohammad
Department of Disaster Management, Begum Rokeya University, Rangpur, 5400, Bangladesh.
International Rice Research Institute, Bangladesh Office, Dhaka, 1213, Bangladesh.
Sci Rep. 2025 Jul 1;15(1):20569. doi: 10.1038/s41598-025-04149-3.
Thermal Bioclimatic Indicators (TBIs) are essential for understanding climate variability and its impacts on ecosystems and human societies, which are commonly utilized to assess the effects of climate change on biodiversity, pollution, agricultural production, and human thermal comfort. The Ganges Delta, one of the world's most biologically diverse coastal regions, is highly vulnerable to climate change. This study employs a multi-model ensemble of sixteen CMIP6 global climate models to assess future changes in eleven TBIs under SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios. Projections indicate a significant increase in annual temperatures by 0.71-1.91 °C (SSP1-2.6), 0.77-2.80 °C (SSP2-4.5), and 1.03-4.65 °C (SSP5-8.5) by 2100. The diurnal temperature range is projected to decline by up to 0.87 °C, while isothermality may decrease by 3.30-12.09%, indicating shifts in thermal stability. Additionally, the driest months are expected to experience more pronounced warming than the wettest months. These thermal transformations pose significant threats to biodiversity, agriculture, and coastal communities, increasing risks of habitat loss, declining agricultural productivity, and altered hydrological patterns. Adaptive strategies such as tidal river management, mangrove afforestation, and conservation initiatives are essential to enhance resilience. The findings underscore the urgency of climate-responsive policies to mitigate risks and ensure the long-term sustainability of this ecologically and economically vital region.
热生物气候指标(TBIs)对于理解气候变异性及其对生态系统和人类社会的影响至关重要,这些指标通常用于评估气候变化对生物多样性、污染、农业生产和人类热舒适度的影响。恒河三角洲是世界上生物多样性最丰富的沿海地区之一,极易受到气候变化的影响。本研究采用了16个CMIP6全球气候模型的多模型集合,以评估在SSP1-2.6、SSP2-4.5和SSP5-8.5情景下11个热生物气候指标的未来变化。预测表明,到2100年,年平均气温将显著上升0.71-1.91℃(SSP1-2.6)、0.77-2.80℃(SSP2-4.5)和1.03-4.65℃(SSP5-8.5)。日较差预计将下降高达0.87℃,等温性可能下降3.30-12.09%,表明热稳定性发生变化。此外,预计最干燥的月份比最潮湿的月份升温更为明显。这些热变化对生物多样性、农业和沿海社区构成了重大威胁,增加了栖息地丧失、农业生产力下降和水文模式改变的风险。诸如潮汐河管理、红树林造林和保护举措等适应性策略对于增强复原力至关重要。研究结果强调了制定应对气候变化政策以降低风险并确保这一生态和经济重要地区长期可持续性的紧迫性。