Syadza Ghaidha Ramadhan¹, Nia Rossiana^1,*, Dedat Prismantoro², Thomas Argyarich Jefferson¹, Malvin Albert¹, Irvan Satria¹, Mia Miranti¹, Mehrdad Alizadeh³, Kumudini Belur Satyan⁴, Febri Doni^1,*

Phyton-International Journal of Experimental Botany, Vol.95, No.7, 2026, DOI:10.32604/phyton.2026.083440 - 30 July 2026

Abstract Rice (Oryza sativa L.) is central to global food security, yet its production systems remain highly vulnerable to environmental pressures. Climate change is increasing the frequency and severity of abiotic stresses, including drought, salinity, extreme temperatures, flooding, and heavy metal toxicity, which significantly reduce global rice productivity. Conventional strategies, including breeding and genetic engineering, have improved stress tolerance; however, their effectiveness is often constrained by long development timelines, complex genetic regulation, and limited performance under multiple concurrent stresses. In this context, plant-associated microorganisms have emerged as a sustainable and promising approach to enhancing rice plant resilience.… More >

Ikenna D. Arungwa^1,2,*, Elochukwu C. Moka²

Revue Internationale de Géomatique, Vol.35, pp. 423-459, 2026, DOI:10.32604/rig.2026.083164 - 29 July 2026

Abstract This study utilized nearly two decades of temporal gravity field observations from the Gravity Recovery and Climate Experiment (GRACE/GRACE-FO) satellite missions to analyze the spatial and temporal variations of terrestrial water storage (TWS) and groundwater storage (GWS) in Nigeria. Advanced statistical techniques, including Singular Spectrum Analysis (SSA), Principal Component Analysis (PCA), and Empirical Orthogonal Function (EOF), were applied to characterize and quantify these variations at a basin scale. Results show that TWS exhibits biennial, annual seasonal fluctuations (between ±10 to ±55 mm), reaching its lowest levels during the dry season (February–June) and peaking in the… More >

Mutlu Seçer^*, Ali Alper Saylan

CMES-Computer Modeling in Engineering & Sciences, Vol.148, No.1, 2026, DOI:10.32604/cmes.2026.084228 - 27 July 2026

Abstract Climate change modifies environmental exposure conditions and affects the corrosion-driven deterioration of steel bridges, thereby challenging conventional maintenance planning approaches. Thus, more advanced maintenance management strategies are required to address the challenges associated with varying corrosion rate projections. In this study, a novel adaptive maintenance management framework is proposed for steel truss bridges to address climate change-induced corrosion under evolving deterioration conditions. Adaptivity is achieved by updating corrosion rates to consider time-varying deterioration conditions associated with climate change. This enables time-dependent representation of corrosion progression under changing environmental conditions. The framework is demonstrated on a… More >

Hualiang Zhang¹, Honglong Zhao², Tianru Qu², Hao Jiang², Shuqin Gao^2,*, Yucheng Zhang², Congcong Zheng^2,*

Phyton-International Journal of Experimental Botany, Vol.95, No.3, 2026, DOI:10.32604/phyton.2026.076579 - 31 March 2026

Abstract Global climate change has intensified drought and soil salinization, posing serious threats to crop productivity and ecosystem stability. Traditional physical and chemical reclamation methods are often expensive, energy-intensive, and unsustainable. In contrast, halotolerant plant growth-promoting rhizobacteria (HT-PGPR) have emerged as a promising, eco-friendly strategy to address extreme climate change-induced land salinization. HT-PGPR enhance plant tolerance by regulating osmotic balance, ion homeostasis, antioxidant defense, and phytohormone signaling. Current evidence for these effects is largely based on greenhouse pot and microcosm studies, while their validation in field experiments remain limited. In addition, HT-PGPR can improve nutrient availability… More >

N’Landu Dikumbwa^1,*, Scott Tshibang Nawej², Gabriel Mutundo Teteka², Benjamin Mayaka Kibwila³, Jules Aloni Komanda³

Revue Internationale de Géomatique, Vol.35, pp. 13-30, 2026, DOI:10.32604/rig.2026.068019 - 05 February 2026

Abstract Rainfall data from four weather stations, quite far from each other, but located in the Zambezian phytogeographic region, were analysed for the research for indices of climate change. Two variables, rainfall and the annual number of rainy days, were considered. The rainfall data examined are 114 years for Luanda (1901–2014), 106 years for Lubumbashi (1916–2021), respectively, 54 and 41 years for Huambo (1961–2014) and Boma (1981–2021); 100 years (1921–2021) for the annual number of rainy days for only the Lubumbashi weather station. The results were a widespread decline in rainfall at all weather stations. Despite… More >

Chih-Yu Liu^1,2, Cheng-Yu Ku^1,2,*, Ming-Han Tsai¹, Jia-Yi You³

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 2969-2990, 2025, DOI:10.32604/cmes.2025.070663 - 30 September 2025

Abstract Amid growing typhoon risks driven by climate change with projected shifts in precipitation intensity and temperature patterns, Taiwan faces increasing challenges in flood risk. In response, this study proposes a geographic information system (GIS)-based artificial intelligence (AI) model to assess flood susceptibility in Keelung City, integrating geospatial and hydrometeorological data collected during Typhoon Krathon (2024). The model employs the random forest (RF) algorithm, using seven environmental variables excluding average elevation, slope, topographic wetness index (TWI), frequency of cumulative rainfall threshold exceedance, normalized difference vegetation index (NDVI), flow accumulation, and drainage density, with the number of… More >

Md. Nahid Hasan, Tasmina Islam Simi, Sk Shoaibur Rahaman, Md. Abdur Rahim^*

Phyton-International Journal of Experimental Botany, Vol.94, No.8, pp. 2313-2346, 2025, DOI:10.32604/phyton.2025.067633 - 29 August 2025

Abstract Molecular tools have drawn the attention of modern plant breeders for its great precision and superiority. As the global population is increasing gradually, food production should be enhanced to feed the growing population. Therefore, precise and fast breeding tools are becoming obvious. Moreover, climate change has become a critical issue in crop improvement. Advanced breeding methods are vital to combat the impact of climate change, including biotic and abiotic stresses. Major molecular techniques, such as ‘CRISPR-Cas’ mediated ‘genome editing’, ‘marker-assisted selection (MAS)’, ‘whole genome sequencing’, ‘RNAi’, transgenic approach, ‘high-throughput phenotyping (HTP)’, mutation breeding, have been More >

Adnan Amin, Wajid Zaman^*

Phyton-International Journal of Experimental Botany, Vol.94, No.7, pp. 1973-1996, 2025, DOI:10.32604/phyton.2025.067885 - 31 July 2025

Abstract Plant-pathogen interactions involve complex biological processes that operate across molecular, cellular, microbiome, and ecological levels, significantly influencing plant health and agricultural productivity. In response to pathogenic threats, plants have developed sophisticated defense mechanisms, such as pattern-triggered immunity (PTI) and effector-triggered immunity (ETI), which rely on specialized recognition systems such as pattern recognition receptors (PRRs) and nucleotide-binding leucine-rich repeat (NLR) proteins. These immune responses activate intricate signaling pathways involving mitogen-activated protein kinase cascades, calcium fluxes, reactive oxygen species production, and hormonal cross-talk among salicylic acid, jasmonic acid, and ethylene. Furthermore, structural barriers such as callose deposition… More >

Muazu Dantala Zakari^1,2,*, Md. Rowshon Kamal^1,*, Norulhuda Mohamed Ramli¹, Balqis Mohamed Rehan³, Mohd Syazwan Faisal Bin Mohd⁴

Revue Internationale de Géomatique, Vol.34, pp. 487-511, 2025, DOI:10.32604/rig.2025.065835 - 29 July 2025

Abstract Understanding trends in rainfall and temperature projections is critical for assessing climate change impacts, managing water resources, mitigating disaster risks, and guiding sustainable agricultural and infrastructure planning. This study investigates projected changes in temperature and rainfall in the Upper Bernam River Basin (UBRB), Malaysia, using ten Global Climate Models (GCMs) from CMIP6 across four scenarios (SSP126, SSP245, SSP370, and SSP585). Downscaling was conducted with the Climate-Smart Decision Support System (CSDSS) for the baseline period (1985–2014) and for future periods: 2020s, 2040s, 2060s, and 2080s. Results indicate a consistent warming trend, with maximum temperatures projected to… More >

Sahbi Boubaker^1,*, Sameer Al-Dahidi², Faisal S. Alsubaei³

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 3583-3614, 2025, DOI:10.32604/cmes.2025.063957 - 30 June 2025

Abstract The transportation and logistics sectors are major contributors to Greenhouse Gase (GHG) emissions. Carbon dioxide (CO₂) from Light-Duty Vehicles (LDVs) is posing serious risks to air quality and public health. Understanding the extent of LDVs’ impact on climate change and human well-being is crucial for informed decision-making and effective mitigation strategies. This study investigates the predictability of CO₂ emissions from LDVs using a comprehensive dataset that includes vehicles from various manufacturers, their CO₂ emission levels, and key influencing factors. Specifically, six Machine Learning (ML) algorithms, ranging from simple linear models to complex non-linear models, were applied under… More >