Assessment of soil erosion by RUSLE in the Ecuadorian basins (2001−2020) based on GIS and high-resolution satellite data: Main drivers and changes on soil erosion DOI
Daniel Delgado, Mahrez Sadaoui, Wolfgang Ludwig

et al.

Geomorphology, Journal Year: 2024, Volume and Issue: 469, P. 109515 - 109515

Published: Nov. 22, 2024

Language: Английский

Towards an integrated approach for land spatial ecological restoration zoning based on ecosystem health assessment DOI Creative Commons

Tianyu Lv,

Chen Zeng,

Chuxuan Lin

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 147, P. 110016 - 110016

Published: Feb. 15, 2023

Mitigating ecosystem degradation has been a worldwide strategy, and China implementing land spatial ecological restoration for an all-around preservation in recent years. A comprehensive diagnosis of the health status effective division zoning are essential to formulating strategies at regional scale. Here, index (EHI) was computed years 2010 2020 using vigor-organization-resilience model. Then, three-step statistic-based, continuity-based, practice-based (SSP) framework developed classify zones with consideration status, relation, local practices. We applied integrated approach urban agglomeration middle reaches Yangtze River (UAMRYR) as study area. The results showed that: (1) EHI had slight decreasing trend from 2020, distribution pattern healthy, unhealthy, healthy center periphery UAMRYR. (2) Eight were designated adjusted through SSP framwork be space-full practical. Zone VIII accounted largest proportion (41.12%), followed by Ⅰ (21.57%). (3) Finally, corresponding proposed each zone. This contributes differentiated UAMRYR, shedding light on regulation Sustainable Development Goals achievement global regions complicated environmental problems.

Language: Английский

Citations

42

Vicia sativa Roth. Can Reduce Soil and Water Losses in Recently Planted Vineyards (Vitis vinifera L.) DOI Creative Commons
Jesús Rodrigo‐Comino, Enric Terol, G. Mora

et al.

Earth Systems and Environment, Journal Year: 2020, Volume and Issue: 4(4), P. 827 - 842

Published: Dec. 1, 2020

Abstract Elevated soil loss and runoff rates can reduce fertility; therefore, erosion control strategies must be implemented at the hillslope watershed scale when plantations are established is bare. In this research, we propose use of Vicia sativa Roth. to losses during first year peak after plantation in tilled vineyards. To test its efficiency, rainfall simulation experiments were carried out with field surveys The Casa Pago Gran, Eastern Iberian Peninsula. Our results demonstrate that properties (organic matter bulk density) (soil loss, sediment concentration) significantly different between plot (tilled) cover crops along August 2016, 2017 2018 measurement periods, but not January coinciding initial survey before vetch sown. Runoff initiation was delayed 3.7 times 3 years (from 190 till 709 s). discharge reduced by from 32.87 13.68%, concentration went down 18.54 3.81 gr l −1 3.36 0.29 Mg ha . An increase density registered did affect generation either losses, plant cover. We conclude it necessary include measures such as processes stages vineyard due quality improvements reduction water losses.

Language: Английский

Citations

71

Impact of land-use and land-cover change on soil erosion using the RUSLE model and the geographic information system: a case of Temeji watershed, Western Ethiopia DOI Creative Commons
Mitiku Badasa Moisa, Daniel Assefa Negash, Biratu Bobo Merga

et al.

Journal of Water and Climate Change, Journal Year: 2021, Volume and Issue: 12(7), P. 3404 - 3420

Published: July 28, 2021

Abstract The impact of land-use land-cover (LULC) change on soil resources is getting global attention. Soil erosion one the critical environmental problems worldwide with high severity in developing countries. This study integrates Revised Universal Loss Equation model a geographic information system to estimate impacts LULC conversion mean annual loss Temeji watershed. In this study, watershed was assessed from 2000 2020 by using Landsat ETM+ and OLI/TIRS images classified supervised maximum likelihood classification algorithms. Results indicate that majority area vulnerable erosion. High observed when grassland forest land were converted into cultivated 88.8 86.9 t/ha/year 2020. revealed about 6,608.5 ha (42.8%) 8,391.8 (54.4%) categorized under severe classes 2020, respectively. Accordingly, class directly correlated over-exploitation grasslands for agricultural purposes. These results can be useful advocacy enhance local people stakeholder's participation toward water conservation practices.

Language: Английский

Citations

65

Potential Soil Loss Estimation and Erosion-Prone Area Prioritization Using RUSLE, GIS, and Remote Sensing in Chereti Watershed, Northeastern Ethiopia DOI Creative Commons

Ajanaw Negese,

Endalkachew Fekadu, Haile Getnet

et al.

Air Soil and Water Research, Journal Year: 2021, Volume and Issue: 14

Published: Jan. 1, 2021

Soil erosion by water is the major form of land degradation in Chereti watershed, Northeastern Ethiopia. This problem exacerbated high rainfall after a long period dry seasons, undulating topography, intensive cultivation, and lack proper soil conservation measures. Hence, this study aimed to estimate 23 years (1995-2018) average rate watershed identify prioritize erosion-vulnerable subwatersheds for planning. The integration revised universal loss equation (RUSLE), geographic information system, remote sensing was applied long-term watershed. RUSLE factors such as erosivity ( R), erodibility K), topography LS), cover management C), support practices P) were computed overlayed loss. result showed that annual ranged up 187.47 t ha −1 year steep slope areas with mean 38.7 , entire lost total about 487 057.7 tons annually. About 57.9% generated from 5 which need prior intervention planning implementation integrated use GIS found be indispensable, less costly, effective estimation erosion, prioritization vulnerable

Language: Английский

Citations

60

CMIP5 climate projections and RUSLE-based soil erosion assessment in the central part of Iran DOI Creative Commons
Fatemeh Hateffard, Safwan Mohammed, Karam Alsafadi

et al.

Scientific Reports, Journal Year: 2021, Volume and Issue: 11(1)

Published: March 31, 2021

Soil erosion (SE) and climate change are closely related to environmental challenges that influence human wellbeing. However, the potential impacts of both processes in semi-arid areas difficult be predicted because atmospheric variations non-sustainable land use management. Thus, models can employed estimate effects different climatic scenarios on interactions. In this research, we present a novel study where changes soil by water central part Iran under current future analyzed using Climate Model Intercomparison Project-5 (CMIP5) three Representative Concentration Pathway-RCP 2.6, 4.5 8.5 scenarios. Results showed estimated annual rate SE area 2005, 2010, 2015 2019 averaged approximately 12.8 t ha-1 y-1. The rangeland registered highest values, especially RCP2.6 RCP8.5 for 2070 with overall values 4.25 y-1 4.1 y-1, respectively. They were followed agriculture fields 1.31 1.33 lowest results located residential 0.61 0.63 2070, contrast, RCP4.5 total could experience decrease rangelands - 0.24 (2050), 0.18 (2070) or slight increase other uses. We conclude provides new insights policymakers stakeholders develop appropriate strategies achieve sustainable resources planning affected unforeseen

Language: Английский

Citations

57

Global-scale application of the RUSLE model: a comprehensive review DOI
Mithlesh Kumar,

Ambika Prasad Sahu,

Narayan Sahoo

et al.

Hydrological Sciences Journal, Journal Year: 2022, Volume and Issue: 67(5), P. 806 - 830

Published: Jan. 6, 2022

The Revised Universal Soil Loss Equation (RUSLE) is the most widely used global soil erosion model. poor performance of RUSLE solely dependent on inherent structure model to account for phenomena under varying topographic and climatic conditions. Considering extensive application model, it high time in research identify suitability In this context, a global-scale review was carried out best possible conditions its reliable where yielded performance. still frequently operational simulation despite numerous deficiencies, weaknesses, limitations. Nevertheless, over large ungauged areas remains real challenge due non-availability quality required inputs.

Language: Английский

Citations

54

Soil loss estimation and severity mapping using the RUSLE model and GIS in Megech watershed, Ethiopia DOI Creative Commons
Legese Abebaw Getu, Attila Nagy, Hailu Kendie Addis

et al.

Environmental Challenges, Journal Year: 2022, Volume and Issue: 8, P. 100560 - 100560

Published: May 31, 2022

Soil erosion is the most serious problem that affects economic development, food security, and ecosystem services, which main concern in Ethiopia. This study focused on quantifying soil rate severity mapping of Megech watershed for effective planning decision-making processes to implement protection measures. The RUSLE model integrated with ArcGIS software was used accomplish objectives. six parameters: erosivity, erodibility, slope length steepness, cover management, control practices were as input parameters compute average annual loss identify hotspots watershed. estimated a total 1,399,210 t yr−1 from mean 32.84 ha−1yr−1. varied 0.08 greater than 500 A map seven classes created 27 sub-watersheds: low (below 10), moderate (10–20), high (20–30), very (30–35), severe (35–40), (40–45) extremely (above 45) values are ton area coverage 6.5%, 11.1%, 8.7%, 22%, 30.9%, 13.4%, 7.4% low, moderate, high, severe, classes, respectively. About 82% found more high-risk category reflects need immediate land management action. paper could be important decision-makers prioritize critical comprehensive sustainable

Language: Английский

Citations

44

Spatial Soil Erosion Modeling for Improved Land Management in Gumara Watershed, Ethiopia DOI Creative Commons
Gizachew Ayalew Tiruneh,

Mersha Ayalew,

Mamaru Ayalew

et al.

Applied and Environmental Soil Science, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

Agriculture output and environmental sustainability are threatened by land degradation, which deteriorates soil resources. In response, water conservation (SWC) initiatives were implemented in Ethiopia. However, erosion remains a main challenge to productiveness sedimentation the country. To determine erosion‐prone areas assess impact of SWC activities on country, revised version universal loss equation (RUSLE) was implemented. Gumara catchment is an area Spatial estimation essential conserve, manage, use Therefore, research conducted evaluate using RUSLE with ArcGIS environment. The results indicated that extent classified into four categories as per rate, 5.45% explained very high (> 200 ton ha −1 yr ) followed 17.24% (50–200 ). And, 24.21% 53.11% had moderate slight class, respectively. spatial distribution watershed could be used better resources, increase agricultural production, ensure sustainability. country’s characterized various estimates, indicating spatiotemporal dynamics. This primarily due heterogeneity different sites, linked varying cover values management factors. With this information, decisions can made greater knowledge concentrating important hotspots. applied across practices climate zones potential tool for demanding site identification. continues beneficial pursuit sustainable techniques local people’s long‐term well‐being.

Language: Английский

Citations

1

Modeling Current and Future Run-off and Soil Erosion Dynamics in Eastern Mediterranean Ecosystems Using the WEPP Model DOI Creative Commons
Safwan Mohammed

Energy Nexus, Journal Year: 2025, Volume and Issue: unknown, P. 100375 - 100375

Published: Feb. 1, 2025

Language: Английский

Citations

1

Soil Management Effects on Soil Water Erosion and Runoff in Central Syria—A Comparative Evaluation of General Linear Model and Random Forest Regression DOI Open Access
Safwan Mohammed,

Ali Al-Ebraheem,

I. J. Holb

et al.

Water, Journal Year: 2020, Volume and Issue: 12(9), P. 2529 - 2529

Published: Sept. 10, 2020

The Mediterranean part of Syria is affected by soil water erosion due to poor land management. Within this context, the main aim research was track and runoff after each rainy storm between September 2013 April 2014 (rainy season), on two slopes with different gradients (4.7%; 10.3%), under three cover types (SCTs): bare (BS), metal sieve (MC), strip cropping (SC), in Central Syria. Two statistical multivariate models, general linear model (GLM), random forest regression (RFR) were applied reveal importance SCTs. Our results that higher rate, as well runoff, recorded BS followed MC, SC. Accordingly, had a significant effect (p < 0.001) erosion, no difference detected MC Different combinations at least experiment. RFR performed better than GLM predictions. GLM’s median mean absolute error 21% worse RFR. Nonetheless, 25 repetitions 2-fold cross-validation ensured highest available prediction accuracy for In conclusion, we revealed rain intensity most important factors erosion.

Language: Английский

Citations

54