Seasonal monitoring of soil erosion at regional scale: An application of the G2 model in Crete focusing on agricultural land uses

Abstract A new soil erosion model, namely G2, was applied in the island of Crete with a focus on agricultural land uses, including potential grazing lands. The G2 model was developed within the Geoland2 project as an agro-environmental service in the framework of the Global Monitoring for Environment and Security (GMES, now Copernicus) initiative. The G2 model takes advantage of the empirical background of the Universal Soil Loss Equation (USLE) and the Gavrilovic model, together with readily available time series of vegetation layers and 10-min rainfall intensity data to produce monthly time-step erosion risk maps at 300 m cell size. The innovations of the G2 model include the implementation of land-use influence parameters based on empirical data and the introduction of a corrective term in the estimation of the topographic influence factor. The mean annual erosion rate in Crete was found to be 8.123 t ha −1 . The season from October to January (the rainy season in Crete) was found to be the most critical, accounting for 80% of the annual erosion in the island. Seasonal erosion figures proved to be crucial for the identification of erosion hotspots and of risky land uses. In Crete, high annual erosion figures were detected in natural grasslands and shrublands (14.023 t ha −1 ), mainly due to the intensification of livestock grazing during the past decades. The G2 model allows for the integrated spatio-temporal monitoring of soil erosion per land-use type based on moderate data input requirements and existing datasets.

[1]  Sergio M. Vicente-Serrano,et al.  Mapping rainfall erosivity at a regional scale: a comparison of interpolation methods in the Ebro Basin (NE Spain) , 2009 .

[2]  P. Kinnell.  Event soil loss, runoff and the universal soil loss equation family of models: A review , 2010 .

[3]  Georgios N. Silleos,et al.  Quantification and site-specification of the support practice factor when mapping soil erosion risk associated with olive plantations in the Mediterranean island of Crete , 2009, Environmental monitoring and assessment.

[4]  Matjaž Mikoš,et al.  Rainfall and runoff erosivity in the alpine climate of north Slovenia: a comparison of different estimation methods , 2006 .

[5]  Samsuzana Abd Aziz,et al.  Assessing the Effects of DEM Uncertainty on Erosion Rate Estimation in an Agricultural Field , 2012 .

[6]  A. McBratney,et al.  Further results on prediction of soil properties from terrain attributes: heterotopic cokriging and regression-kriging , 1995 .

[7]  I. Moore,et al.  Physical basis of the length-slope factor in the universal soil loss equation , 1986 .

[8]  Arwyn Jones,et al.  The LUCAS topsoil database and derived information on the regional variability of cropland topsoil properties in the European Union , 2013, Environmental Monitoring and Assessment.

[9]  J. L. Parra,et al.  Very high resolution interpolated climate surfaces for global land areas , 2005 .

[10]  Barry F. W. Croke,et al.  Water resources in the desertification-threatened Messara Valley of Crete: estimation of the annual water budget using a rainfall-runoff model , 2000, Environ. Model. Softw..

[11]  Fayçal Bouraoui,et al.  Hydrologic and geochemical modeling of a karstic Mediterranean watershed , 2013 .

[12]  I. Moore,et al.  Length-slope factors for the Revised Universal Soil Loss Equation: simplified method of estimation , 1992 .

[13]  Filippos Vallianatos,et al.  Soil erosion prediction using the Revised Universal Soil Loss Equation (RUSLE) in a GIS framework, Chania, Northwestern Crete, Greece , 2009 .

[14]  Panos Panagos,et al.  Monthly soil erosion monitoring based on remotely sensed biophysical parameters: a case study in Strymonas river basin towards a functional pan-European service , 2012, Int. J. Digit. Earth.

[15]  G. R. Foster,et al.  storm Erosivity Using Idealized Intensity Distributions , 1987 .

[16]  Gerard Govers,et al.  The PESERA coarse scale erosion model for Europe. I. – Model rationale and implementation , 2008 .

[17]  Panos Panagos,et al.  Spatial and temporal variability of rainfall erosivity factor for Switzerland , 2011 .

[18]  G. R. Foster,et al.  Predicting soil erosion by water : a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE) , 1997 .

[19]  V. Papanastasis,et al.  Human activities and their impact on land degradation ‐ psilorites mountain in crete: A historical perspective , 1995 .

[20]  W. Verhoef.  Earth observation modelling based on layer scattering matrices , 1984 .

[21]  L. Montanarella,et al.  European Soil Data Centre: Response to European policy support and public data requirements , 2012 .

[22]  M. Coutinho,et al.  A new procedure to estimate the RUSLE EI30 index, based on monthly rainfall data and applied to the Algarve region, Portugal , 2001 .

[23]  Gianni Bellocchi,et al.  MedREM, a rainfall erosivity model for the Mediterranean region , 2010 .

[24]  Panagos Panagiotis,et al.  Assessing Soil Processes and Function across an International Network of Critical Zone Observatories: Research Hypotheses and Experimental Design , 2011 .

[25]  W. H. Wischmeier,et al.  Predicting rainfall erosion losses : a guide to conservation planning , 1978 .

[26]  Panos Panagos,et al.  Estimating the soil organic carbon content for European NUTS2 regions based on LUCAS data collection. , 2013, The Science of the total environment.

[27]  P. J. J. Desmet,et al.  Comment on 'Modelling Topographic Potential for Erosion and Deposition Using GIS' , 1997, Int. J. Geogr. Inf. Sci..

[28]  Panos Panagos,et al.  Soil erodibility estimation using LUCAS point survey data of Europe , 2012, Environ. Model. Softw..

[29]  Other.  Communication from the Commission to the Council, the European Parliament, the European Economic and Social Committee and the Committee of the Regions: Annual Policy Strategy for 2008 , 2007 .

[30]  J. Daroussin,et al.  The PESERA coarse scale erosion model for Europe : I – Model rationale and 1 implementation 2 3 , 2009 .

[31]  Jones Arwyn,et al.  The role of European Soil Data Centre (ESDAC) to European policy support and public data requirements , 2012 .

[32]  Montanarella Luca,et al.  Preface - Soil Erosion and Degradation in Mediterranean-Type Ecosystems , 2010 .

[33]  Martin Novak,et al.  Soil Processes and Functions in Critical Zone Observatories: Hypotheses and Experimental Design , 2011 .

[34]  Ioannis K. Tsanis,et al.  Assessing precipitation distribution impacts on droughts on the island of Crete , 2012 .

[35]  A. Vrieling.  Satellite remote sensing for water erosion assessment: A review , 2006 .

[36]  Carlos A. Bonilla,et al.  Water Erosion Prediction Using the Revised Universal Soil Loss Equation (RUSLE) in a GIS Framework, Central Chile , 2010 .

[37]  Ioannis K. Tsanis,et al.  Seasonality of floods and their hydrometeorologic characteristics in the island of Crete. , 2010 .

[38]  R. Tibshirani,et al.  Generalized Additive Models , 1991 .

[39]  Panos Panagos,et al.  A classification of water erosion models according to their geospatial characteristics , 2014, Int. J. Digit. Earth.