Results 71 to 80 of about 4,331 (214)

Projected Impacts of Climate and Land Use/Land Cover Change on Sediment Yield and Surface Runoff in the Baro River Sub‐Basin, Ethiopia

The Scientific World Journal, Volume 2026, Issue 1, 2026.
Understanding how climate change and land use/land cover (LULC) dynamics influence watershed hydrological processes is essential for achieving sustainable water and land management, particularly in data‐scarce and erosion‐prone basins. This study assesses the individual and synergistic effects of CMIP6‐based climate projections and LULC change on ...
Tewodros Getu Engida, Alemayehu Muluneh, Moltot Zewdie, Abreham Berta Aneseyee   +3 more
wiley   +1 more source

Evaluation of USLE and RUSLE estimated soil loss on rangeland

, 2003
The Universal Soil Loss Equation (USLE) and the Revised Universal Soil Loss Equation (RUSLE 1.06) were evaluated with rainfall simulation data from a diverse set of rangeland vegetation types (8 states, 22 sites, 132 plots).
Weltz, M. A., Pierson, F. B., Blackburn, W. H., Spaeth, K. E.   +3 more
core   +1 more source

Revised Determination of the Rainfall-runoff Erosivity Factor R for Application of USLE in the Czech Republic

Soil and Water Research, 2006
The evaluation of a series (1961-2000) of ombrographic records from 13 selected stations of Czech Hydrometeorological Institute provided long-term annual summation values and annual peaks of the rainfallrunoff erosivity factor R in the USLE.
Miloslav Janeček, Eliška Kubátová, Martin Tippl   +2 more
doaj   +1 more source

Soil smarts: A taxonomic approach to speed up watershed modeling without sacrificing water quality insights

Agrosystems, Geosciences &Environment, Volume 8, Issue 4, December 2025.
Abstract Hydrologic modeling studies within the United States frequently utilize the USDA‐Natural Resources Conservation Service State Soil Geographic (STATSGO, 1:250,000 resolution) or Soil Survey Geographic (SSURGO, 1:24,000 resolution) database to characterize soil properties. The finer resolution of SSURGO enables more precise spatial modeling that
Arghajeet Saha, A. N. Rohith, Patrick. J. Drohan, Tamie L. Veith, Raj Cibin   +4 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

Rewarding Farm‐level Environmental Outcomes – an Indicator Based Approach Récompenser les résultats environnementaux au niveau de l’exploitation agricole – une approche fondée sur des indicateurs Belohnung für Umweltleistungen auf Betriebsebene – ein indikatorbasierter Ansatz

EuroChoices, Volume 24, Issue 3, Page 26-34, December 2025.
Summary Many agricultural, agri‐environmental and organic support payments are paid at a flat‐rate per hectare that does not reflect actual environmental outcomes on farms. We propose an indicator‐based approach using a combination of result and action (proxy) based indicators to assess overall environmental outcomes at farm‐level as a basis for future
Nicolas Lampkin, Jürn Sanders
wiley   +1 more source

L'Osservatorio delle disuguaglianze dell'Azienda USL di Ferrara

Italian Journal of Public Health, 2003
È ormai riconosciuto che bassa condizione socio-economica e limitato sviluppo culturale possono agire negativamente sul benessere individuale e sul livello di salute collettiva e determinano criticità nell’accesso alle cure, fenomeni che appaiono prevedibili, prevenibili e correggibili per migliorare la qualità e l’efficienza del sistema sanitario ...
DE TOGNI A., SIMIOLI, Paola, SATERIALE M. V., MENGHINI, Luca Guicciardo, CUCCHI, Alessandro, RAVASINI, Giovanni, LUPI, Silvia, BURIANI O., GREGORIO, Pasquale   +8 more
openaire   +3 more sources

Ambiguity in the results of USLE K–factor obtained by nomograph and erodibility equation

, 2022
Universal Soil Loss Equation (USLE) is the most applied model for soil erosion assessment. It takes into consideration five soil erosion factors among which soil erodibilty factor (K) is a measure of inheritant reistance of soils to erosion.
Gajić, Boško, Životić, Ljubomir, Ćosić, Marija, Lazović, Vojislav, Kaluđerović, Lazar   +4 more
core  

Soil erosion modelling at European scale by using high resolution input layers [PDF]

, 2015
Soil erosion by water is one of the most widespread forms of soil degradation. Since soil erosion is difficult to measure at large scales, soil erosion models are a crucial estimation tool at regional, national and European levels. The high heterogeneity
Panagos, Panagiotis
core   +1 more source

GIS based soil erosion assessment using the USLE model for efficient land management: A case study in an area with diverse pedo-geomorphological and bioclimatic characteristics

, 2023
The complex environmental process of soil erosion is crucial to sustainable land management and conservation. This study uses the Universal Soil Loss Equation (USLE) model to understand the intricate interactions that cause soil erosion in Cluj County ...
MARKOVIĆ, Rastko, Bruma, S, HERBEI, Mihai V., MIRCEA, Sevastel, KADER, Shuraik, Bilașco, Ș, Dragomir, LO, SABOU, Catalin, Marković, R, Sălăgean, T, Roșca, S, Herbei, MV, DRAGOMIR, Lucian O., SĂLĂGEAN, Tudor, ROȘCA, Sanda, BRUMA, Simion, Mircea, S, BILAȘCO, Ștefan, Sestras, P, Kader, S, SESTRAS, Paul, Sabou, C   +21 more
core   +2 more sources