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Land is a resource that is worth protecting due to its function as a carrier for the functions of the ecosystem, recreation, climate regulation and others. The persistently high, unsustainable use of land for settlemen...

Hydrological models commonly use very simple snow accumulation and melt models based on air temperature information, namely, a temperature threshold for snow accumulation as well as for snowmelt, and a melt factor. This ...

Wheat is the most widely grown food crop, with 761 Mt produced globally in 2020. To meet the expected grain demand by mid-century, wheat breeding strategies must continue to improve upon yield-advancing physiological tra...

Terrestrial evaporation ($E$) plays a crucial role in the water, energy, and carbon cycles and modulates climate change through multiple feedback mechanisms. While process-based models estimate $E$ using satellite-derive...

Abstract The Internet plays a pivotal role in tackling global climate challenges, particularly in facilitating a transition toward low-carbon behavior. However, the mechanisms by which the Internet shapes low-carbon beha...

Abstract Eastern Himalayan Region (EHR), where rice is an important staple crop, developing drought stress tolerant varieties is crucial for improving yield and stability in variable climates. Genotype-by-environment (GE...

The aim of the article is to determine the institutional foundations for the formation of the state aid statistics system to support the implementation of research projects and innovations by business entities in the EU,...

Abstract Land-use change strongly regulates soil physical, chemical, and biogeochemical properties, with major implications for soil organic carbon (SOC) storage in the Brazilian Amazon to a depth of 30 cm. This study a...

Abstract This study introduces two recently developed bio-inspired metaheuristic algorithms, Artificial Protozoa Optimizer (APO, 2024) and Dung Beetle Optimizer (DBO, 2023), into long short-term memory (LSTM) networks fo...

"The use of information measures for model selection in geophysical models with subgrid parameterizations is examined. Although the resolved dynamical equations of atmospheric or oceanic global numerical models are well ...

Climate change is undermining the effectiveness of static reserve systems by shifting species distributions and increasing the opportunity costs of conservation, particularly for land and water under more frequent temper...

Abstract Global, regional and local sea‐level projections rely on complex process‐based models of the climate‐ocean‐cryosphere system. While extrapolation of observational data has been examined on global and reg...

The article shows how public-private partnerships (PPPs) in renewable energy provide a chance for the public and private sectors to combine resources and share risks in order to finish utility-scale projects that would n...

The Greenland Ice Sheet is a key component of the Earth’s climate system and assessing its mass balance is crucial for predicting sea-level rise. Solid ice discharge is a critical parameter that can be determined by ca...

Peatlands are major carbon stores that are sensitive to climate change and increasingly affected by human activity. Accurate assessment of carbon stocks and modelling of peatland responses to future climate scenarios req...

Subsurface energy transition aims to mitigate climate change impacts by reducing carbon emissions while addressing energy needs through utilization of sustainable subsurface resources. It involves harnessing underground ...

Abstract The accurate prediction of the deterioration of Continuously Reinforced Concrete Pavement (CRCP) is essential for the effective management of pavements and the maintenance of infrastructure. In this study, a co...

Abstract Global malaria control is entering a period of profound uncertainty, with earlier gains now stalling or reversing amid a rapidly deepening shortfall in programme and research funding. At the same time, parasite ...

The temperature sensitivity of fine particulate matter (PM2.5) critically influences air quality and human health under a warming climate, yet models struggle to accurately reproduce observed sensitivities. This study im...

This study presents a novel, site-specific deployment of a Long Range Wide Area Network (LoRaWAN)-driven air pollution monitoring network specifically for the Iraqi city of Mosul, which is beset by widespread power outag...

Reservoirs are critical infrastructure for global water, food, and energy security, yet their storage dynamics remain poorly characterized across most of the world. Accurate and timely knowledge of reservoir storage is e...

This study proposes a two-level stacking machine learning approach for predicting rainfall erosivity (Rm) in Taiwan, providing a flexible alternative to traditional empirical methods. Conventional models rely on limited ...

Constraining the influence of different moisture sources across the flanks of mountain ranges is important for understanding tectonic, geomorphic, and paleoclimate problems at geologic timescales, as well as evaluating c...