Results 51 to 60 of about 2,959 (215)

Modeling Soil Erosion Risk Areas Using the RUSLE Model Coupled With GIS and RS in Haro Bake Watershed, Yabello District, Southern Ethiopia

Applied and Environmental Soil Science, Volume 2026, Issue 1, 2026.
Soil erosion is most severe in the tropical and subtropical regions of the world, especially in developing countries like Ethiopia. Estimating the extent of soil loss and understanding the spatial distribution of erosion‐prone areas are critical for planning and effectively implementing soil conservation measures with limited resources.
Fenan Tola, Bobe Bedadi, Samuel Feyissa, Wafaa M. Abd El Rahim   +3 more
wiley   +1 more source

Rethinking Global Soil Degradation: Drivers, Impacts, and Solutions

Reviews of Geophysics, Volume 63, Issue 4, December 2025.
Abstract The increasing threat of soil degradation presents significant challenges to soil health, especially within agroecosystems that are vital for food security, climate regulation, and economic stability. This growing concern arises from intricate interactions between land use practices and climatic conditions, which, if not addressed, could ...
Nima Shokri, David A. Robinson, Mehdi Afshar, Christine Alewell, Milad Aminzadeh, Emmanuel Arthur, Nils Broothaerts, Grant A. Campbell, Lina Eklund, Surya Gupta, Richard Harper, Amirhossein Hassani, Cathy Hohenegger, Thomas Keller, Maximilian Kiener, Inma Lebron, Kaveh Madani, Tshilidzi Marwala, Francis Matthews, Per Moldrup, Attila Nemes, Panos Panagos, Remus Prăvălie, Matthias C. Rillig, Philipp Saggau, Salome M. S. Shokri‐Kuehni, Pete Smith, Amy Thomas, Lis Wollesen de Jonge, Dani Or   +29 more
wiley   +1 more source

Do no Significant Harm (DNSH) Principle in Corporate Sustainability Strategies: Towards a Methodological Framework

Corporate Social Responsibility and Environmental Management, Volume 32, Issue 6, Page 7528-7552, November 2025.
ABSTRACT The integration of corporate sustainability strategies into business activities has become increasingly essential due to the growing concerns about environmental degradation resulting from population growth and resource depletion. Corporate Social Responsibility (CSR) emphasizes the need for businesses to consider their environmental and ...
Roberto Cerchione, Renato Passaro, Viviana Sicardi   +2 more
wiley   +1 more source

Determinación del factor topográfico LS en los modelos Rusle y Rusle3d mediante el sig sextante

Cuadernos del CURIHAM, 2008
El reciente lanzamiento del SIG SEXTANTE®, planteó la generación de este trabajo, el cuál determina y compara el factor LS de los modelos RUSLE y RUSLE 3D.
José García Rodríguez, Martín Giménez Suárez   +1 more
doaj  

ارزیابی خطر فرسایش خاک با استفاده از یک مدل فازی در آبخیز قرناوه گلستان [PDF]

پژوهش‌های حفاظت آب و خاک, 2015
آگاهی از میزان خطر فرسایش خاک در آبخیزها، امکان شناسایی نواحی بحرانی و اولویت¬بندی برنامه¬های مدیریتی و حفاظتی را فراهم می¬سازد. هدف از تحقیق حاضر، تهیه و اعتبارسنجی یک مدل فازی برای ارزیابی خطر فرسایش خاک در آبخیز قرناوه گلستان است. تهیه نقشه خطر فرسایش
مهدی عرفانیان, پریسا قهرمانی ساعتلو, حسین سعادت   +2 more
doaj  

Great minds map alike: Citizen and expert distribution models of schistosome snail hosts in rural west Uganda

Ecological Solutions and Evidence, Volume 6, Issue 4, October–December 2025.
Citizen scientists and an expert jointly monitor Biomphalaria snails (the intermediate host of Schistosoma mansoni) in rural areas of southwest Uganda, generating over 4500 georeferenced records. By comparing expert‐ and citizen‐based distribution models under perfect and imperfect detection, we demonstrate that site type and NDVI consistently ...
Noelia Valderrama‐Bhraunxs, Tine Huyse, Emiel van Loon, Anton Van Rompaey, Ronald Twongyirwe, Liesbet Jacobs   +5 more
wiley   +1 more source

Quantifying the Role of Vegetation in Reducing Erosion on Post‐Mining Landforms: An Experimental Approach

Land Degradation &Development, Volume 36, Issue 16, Page 5542-5556, October 2025.
ABSTRACT For post‐mining landscapes, erosion rates need to be demonstrably similar to that of the surrounding areas. Post‐mining landscapes are assessed (usually with a numerical model) to determine their erosion potential both in the pre‐ and post‐construction phases. Field plots, which rely on natural rainfall, provide the most reliable data; however,
G. R. Hancock
wiley   +1 more source

Advancing soil erosion prediction in Wadi Sahel-Soummam watershed Algeria: A comparative analysis of deep neural networks (DNN) and convolutional neural networks (CNN) models integrated with GIS [PDF]

Glasnik Srpskog Geografskog Društva
This study employs adaptive deep learning (utilizing DNN and CNN approaches) to accurately predict soil erosion, a crucial aspect of sustainable soil resource management.
Mokhtari Elhadj, Djeddou Messaoud, Hameed Ibrahim A., Shawaqfah Moayyad   +3 more
doaj   +1 more source

Predicting rainfall kinetic energy under forest canopies—A pilot study using ULS

Earth Surface Processes and Landforms, Volume 50, Issue 11, 15 September 2025.
We applied the vegetation splash factor to predict the effect of vegetation on kinetic energy of rainfall and validated it with field data for the first time. Abstract Rainfall erosivity, expressed in kinetic energy, is determined by intensity, velocity and drop size distribution. In natural precipitation, these properties vary and can be substantially
Johannes Antenor Senn, Jannika Schäfer, Zahra Hosseini, Steffen Seitz   +3 more
wiley   +1 more source

Coupling the modified SCS-CN and RUSLE models to simulate hydrological effects of restoring vegetation in the Loess Plateau of China [PDF]

Hydrology and Earth System Sciences, 2012
Predicting event runoff and soil loss under different land covers is essential to quantitatively evaluate the hydrological responses of vegetation restoration in the Loess Plateau of China.
G. Y. Gao, B. J. Fu, Y. H. Lü, Y. Liu, S. Wang, J. Zhou   +5 more
doaj   +1 more source