77
Mukanov Y et al (2019) Estimation of annual average soil loss using the Revised Universal Soil
Loss Equation (RUSLE) integrated in a Geographical Information System (GIS) of the Esil
River basin (ERB). Kazakhstan Acta Geophysica. https://doi.org/10.1007/s11600- 019- 00288- 0
Nachtergaele F et al. (2009) Harmonized world soil database (version 1.1) FAO, Rome, Italy &
IIASA, Laxenburg, Austria
Nachtergaele F et al. (2010) The harmonized world soil database. In: Proceedings of the 19th
World congress of soil science, soil solutions for a changing World, Brisbane, Australia, 1–6
August 2010, pp 34–37
Naipal V, Reick CH, Pongratz J, Van Oost K (2015) Improving the global applicability of the
RUSLE model-adjustment of the topographical and rainfall erosivity factors. Geosci Model
Dev 8:2893–2913
Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models part I – a discussion of principles. J Hydrol 10:282–290
Nasir N, Selvakumar R (2018) Influence of land use changes on spatial erosion pattern, a time series
analysis using RUSLE and GIS: the cases of Ambuliyar sub-basin. India Acta Geophysica:1–10
Nearing M (2001) Potential changes in rainfall erosivity in the US with climate change during the
21st century. J Soil Water Conserv 56:229–232
Nurbekov A, Akramkhanov A, Kassam A, Sydyk D, Ziyadaullaev Z, Lamers J (2016) Conservation
Agriculture for combating land degradation in Central Asia: a synthesis. AIMS Agri Food
1:144–156
Nyesheja EM, Chen X, El-Tantawi AM, Karamage F, Mupenzi C, Nsengiyumva JB (2018) Soil
erosion assessment using RUSLE model in the Congo Nile Ridge region of Rwanda. Phys
Geogr:1–22
Ostovari Y, Ghorbani-Dashtaki S, Bahrami H-A, Naderi M, Dematte JAM (2017) Soil loss prediction by an integrated system using RUSLE, GIS and remote sensing in semi-arid region.
Geoderma Reg 11:28–36
Panagos P, Borrelli P, Meusburger K, Alewell C, Lugato E, Montanarella L (2015a) Estimating
the soil erosion cover-management factor at the European scale. Land Use Policy 48:38–50.
https://doi.org/10.1016/j.landusepol.2015.05.021
Panagos P et al (2015b) The new assessment of soil loss by water erosion in Europe. Environ Sci
Pol 54:438–447
Panagos P, Ballabio C, Borrelli P, Meusburger K (2016a) Spatio-temporal analysis of rainfall
erosivity and erosivity density in Greece. Catena 137:161–172. https://doi.org/10.1016/j.
catena.2015.09.015
Panagos P et al (2016b) Monthly rainfall erosivity: conversion factors for different time resolutions
and regional assessments. Water 8:119
Panagos P, Ballabio C, Meusburger K, Spinoni J, Alewell C, Borrelli P (2017a) Towards estimates of future rainfall erosivity in Europe based on REDES and WorldClim datasets. J Hydrol
548:251–262. https://doi.org/10.1016/j.jhydrol.2017.03.006
Panagos P et al (2017b) Global rainfall erosivity assessment based on high-temporal resolution
rainfall records. Sci Rep 7:4175. https://doi.org/10.1038/s41598- 017- 04282- 8
Pimentel D (2006) Soil erosion: a food and environmental threat. Environ Dev Sustain 8:119–137
Plangoen P, Babel MS, Clemente RS, Shrestha S, Tripathi NK (2013) Simulating the impact of
future land use and climate change on soil erosion and deposition in the Mae Nam Nan subcatchment, Thailand. Sustainability 5:3244–3274
Prasannakumar V, Vijith H, Abinod S, Geetha N (2012) Estimation of soil erosion risk within a
small mountainous sub-watershed in Kerala, India, using Revised Universal Soil Loss Equation
(RUSLE) and geo-information technology. Geosci Front 3:209–215
Qushimov B, Ganiev I, Rustamova I, Haitov B, Islam K (2007) Land degradation by agricultural
activities in Central Asia Climate Change and Terrestrial Carbon Sequestration in Central Asia.
Taylor & Francis, London, pp 137–147
Ramirez-Villegas J, Jarvis A (2010) Downscaling global circulation model outputs: the delta
method decision and policy analysis. Working Paper No. 1
References
Mukanov Y et al (2019) Estimation of annual average soil loss using the Revised Universal Soil
Loss Equation (RUSLE) integrated in a Geographical Information System (GIS) of the Esil
River basin (ERB). Kazakhstan Acta Geophysica. https://doi.org/10.1007/s11600- 019- 00288- 0
Nachtergaele F et al. (2009) Harmonized world soil database (version 1.1) FAO, Rome, Italy &
IIASA, Laxenburg, Austria
Nachtergaele F et al. (2010) The harmonized world soil database. In: Proceedings of the 19th
World congress of soil science, soil solutions for a changing World, Brisbane, Australia, 1–6
August 2010, pp 34–37
Naipal V, Reick CH, Pongratz J, Van Oost K (2015) Improving the global applicability of the
RUSLE model-adjustment of the topographical and rainfall erosivity factors. Geosci Model
Dev 8:2893–2913
Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models part I – a discussion of principles. J Hydrol 10:282–290
Nasir N, Selvakumar R (2018) Influence of land use changes on spatial erosion pattern, a time series
analysis using RUSLE and GIS: the cases of Ambuliyar sub-basin. India Acta Geophysica:1–10
Nearing M (2001) Potential changes in rainfall erosivity in the US with climate change during the
21st century. J Soil Water Conserv 56:229–232
Nurbekov A, Akramkhanov A, Kassam A, Sydyk D, Ziyadaullaev Z, Lamers J (2016) Conservation
Agriculture for combating land degradation in Central Asia: a synthesis. AIMS Agri Food
1:144–156
Nyesheja EM, Chen X, El-Tantawi AM, Karamage F, Mupenzi C, Nsengiyumva JB (2018) Soil
erosion assessment using RUSLE model in the Congo Nile Ridge region of Rwanda. Phys
Geogr:1–22
Ostovari Y, Ghorbani-Dashtaki S, Bahrami H-A, Naderi M, Dematte JAM (2017) Soil loss prediction by an integrated system using RUSLE, GIS and remote sensing in semi-arid region.
Geoderma Reg 11:28–36
Panagos P, Borrelli P, Meusburger K, Alewell C, Lugato E, Montanarella L (2015a) Estimating
the soil erosion cover-management factor at the European scale. Land Use Policy 48:38–50.
https://doi.org/10.1016/j.landusepol.2015.05.021
Panagos P et al (2015b) The new assessment of soil loss by water erosion in Europe. Environ Sci
Pol 54:438–447
Panagos P, Ballabio C, Borrelli P, Meusburger K (2016a) Spatio-temporal analysis of rainfall
erosivity and erosivity density in Greece. Catena 137:161–172. https://doi.org/10.1016/j.
catena.2015.09.015
Panagos P et al (2016b) Monthly rainfall erosivity: conversion factors for different time resolutions
and regional assessments. Water 8:119
Panagos P, Ballabio C, Meusburger K, Spinoni J, Alewell C, Borrelli P (2017a) Towards estimates of future rainfall erosivity in Europe based on REDES and WorldClim datasets. J Hydrol
548:251–262. https://doi.org/10.1016/j.jhydrol.2017.03.006
Panagos P et al (2017b) Global rainfall erosivity assessment based on high-temporal resolution
rainfall records. Sci Rep 7:4175. https://doi.org/10.1038/s41598- 017- 04282- 8
Pimentel D (2006) Soil erosion: a food and environmental threat. Environ Dev Sustain 8:119–137
Plangoen P, Babel MS, Clemente RS, Shrestha S, Tripathi NK (2013) Simulating the impact of
future land use and climate change on soil erosion and deposition in the Mae Nam Nan subcatchment, Thailand. Sustainability 5:3244–3274
Prasannakumar V, Vijith H, Abinod S, Geetha N (2012) Estimation of soil erosion risk within a
small mountainous sub-watershed in Kerala, India, using Revised Universal Soil Loss Equation
(RUSLE) and geo-information technology. Geosci Front 3:209–215
Qushimov B, Ganiev I, Rustamova I, Haitov B, Islam K (2007) Land degradation by agricultural
activities in Central Asia Climate Change and Terrestrial Carbon Sequestration in Central Asia.
Taylor & Francis, London, pp 137–147
Ramirez-Villegas J, Jarvis A (2010) Downscaling global circulation model outputs: the delta
method decision and policy analysis. Working Paper No. 1
References