Results 151 to 160 of about 5,715 (208)

Spatial assessment of soil erosion using GIS-integrated RUSLE in the Wolaita zone, Ethiopia. [PDF]

PLoS One
Fakana ST, Falta FF, Dofee AA.
europepmc   +1 more source

Spatial heterogeneity of multi-scale trade-off synergies in ecosystem services. [PDF]

PeerJ
Guo Q, Tian Y, Zhang Y, Wang Y.
europepmc   +1 more source

Application of crop growth models in crop yield assessment. [PDF]

Front Plant Sci
Ye Z, Liao L, Qiu G, Xiao Y, Huang D, Duan Z, Pu S, Wen J.   +7 more
europepmc   +1 more source

Soil erosion susceptibility assessment in the Bistrița River basin (Romania) using machine learning algorithms and GIS. [PDF]

Sci Rep
Muratoreanu G, Dunea D, Tanislav D, Reid M, Diaconu DC, Costache A, Serban G, Pastor I, Bretcan P.   +8 more
europepmc   +1 more source

A new high-resolution global topographic factor dataset calculated based on SRTM. [PDF]

Sci Data
Sun Y, Zhang H, Yang Q, Li R, Liu B, Zhao X, Shi H, Li H, Ren Y, Fan X, Dong L, Xu Y, Chang Y, Yuan L.   +13 more
europepmc   +1 more source

Evaluation of future land use change impacts on soil erosion for holota watershed, Ethiopia. [PDF]

Sci Rep
Guder AC, Kabeta WF.
europepmc   +1 more source

Characteristics and driving factors of spatiotemporal changes in soil erosion in the karst plateau mountainous region over 20 years. [PDF]

PLoS One
Bai Y, Zhang Y, Zhang S, Wu J, Zhao X, Zhao F.   +5 more
europepmc   +1 more source

Statistical check of USLE-M and USLE-MM to predict bare plot soil loss in two Italian environments

Land Degradation and Development, 2018
AbstractThe USLE‐M and the USLE‐MM estimate event plot soil loss. In both models, the erosivity term is given by the runoff coefficient,QR, times the single‐storm erosion index,EI30. In the USLE‐MM,QREI30is raised to an exponentb1 > 1 whereasb1 = 1 is assumed in the USLE‐M. Simple linear regression analysis can be applied to parameterize both models,
Francesca Todisco, Vito Ferro, Vincenzo Bagarello   +2 more
exaly   +9 more sources

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Comparison between the USLE, the USLE-M and replicate plots to model rainfall erosion on bare fallow areas

Catena, 2016
Abstract It has been proposed that the best physical model of erosion from a plot is provided by a replicate plot (Nearing, 1998). Event data from paired bare fallow plots in the USLE database were used to examine the abilities of replicate plots, the USLE and the USLE-M to model event erosion on bare fallow plots.
P I A Kinnell
exaly   +2 more sources