SIDASS project. Part 1. A spatial distributed simulation model predicting the dynamics of agro-physical soil state for selection of management practices to prevent soil erosion.

Simota, Catalin; Horn, Rainer; Fleige, Heiner; Dexter, Anthony; Czyz, E.A.; Díaz Pereira, Elvira; Mayol Rodríguez, Francisco; Rajkai, Kalman; Rosa, Diego de la

SIDASS project. Part 1. A spatial distributed simulation model predicting the dynamics of agro-physical soil state for selection of management practices to prevent soil erosion.

4 pages, 1 figure, 11 references.

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Bibliographic Details
Main Authors:	Simota, Catalin, Horn, Rainer, Fleige, Heiner, Dexter, Anthony, Czyz, E.A., Díaz Pereira, Elvira, Mayol Rodríguez, Francisco, Rajkai, Kalman, Rosa, Diego de la
Format:	artículo biblioteca
Language:	English
Published:	Elsevier 2005-05
Subjects:	SIDASS model, Soil erosion, User-friendly, Pedotransfer functions, Hydraulic and mechanical properties,
Online Access:	http://hdl.handle.net/10261/38242
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id	dig-irnas-es-10261-38242
record_format	koha
spelling	dig-irnas-es-10261-382422013-10-10T06:33:24Z SIDASS project. Part 1. A spatial distributed simulation model predicting the dynamics of agro-physical soil state for selection of management practices to prevent soil erosion. Simota, Catalin Horn, Rainer Fleige, Heiner Dexter, Anthony Czyz, E.A. Díaz Pereira, Elvira Mayol Rodríguez, Francisco Rajkai, Kalman Rosa, Diego de la SIDASS model Soil erosion User-friendly Pedotransfer functions Hydraulic and mechanical properties 4 pages, 1 figure, 11 references. The SIDASS model was developed to predict losses due to mechanical and hydraulic processes and it also enables users to simulate prevention strategies if the required basic datasets are available. SIDASS model is linking under the same umbrella of a spatially distributed information framework, the experimental and theoretical researches from various fields of soil physics directly to farming practices (soil mechanics, soil compaction, soil erosion, and soil hydrology) in order to have a tool for recommendations of site-specific land use and management practices, and to evaluate agriculture policies at local and regional scales. SIDASS is validated on some precise datasets from specific areas, and was proved to forecast the effects of soil mechanical processes like soil deformation on soil erosion. It may be also used to couple the effects of hydraulic and mechanical properties on soil erosion processes. Thus, in its final stage, it provides a tool for recommendations of site-specific land use and management strategies. In the validation tests, the predicted values according to the model equations were in very good agreement with independent datasets taken from experimental fields in Spain, Hungary, and Romania. Several application examples (GIS maps) with reference to European soils are shown pointing to the ‘‘hot’’ areas of Europe where soil erosion or soil compaction problems are high, and are furthermore increased by soil management using heavy machinery or non-site-specific management strategies. Peer reviewed 2011-08-02T10:33:42Z 2011-08-02T10:33:42Z 2005-05 artículo http://purl.org/coar/resource_type/c_6501 Soil & Tillage Research 82 (1) : 15–18 (2005). 0167-1987 http://hdl.handle.net/10261/38242 en doi:10.1016/j.still.2005.01.003 http://www.sciencedirect.com/science/article/pii/S0167198705000048 none Elsevier
institution	IRNAS ES
collection	DSpace
country	España
countrycode	ES
component	Bibliográfico
access	En linea
databasecode	dig-irnas-es
tag	biblioteca
region	Europa del Sur
libraryname	Biblioteca del IRNAS España
language	English
topic	SIDASS model Soil erosion User-friendly Pedotransfer functions Hydraulic and mechanical properties SIDASS model Soil erosion User-friendly Pedotransfer functions Hydraulic and mechanical properties
spellingShingle	SIDASS model Soil erosion User-friendly Pedotransfer functions Hydraulic and mechanical properties SIDASS model Soil erosion User-friendly Pedotransfer functions Hydraulic and mechanical properties Simota, Catalin Horn, Rainer Fleige, Heiner Dexter, Anthony Czyz, E.A. Díaz Pereira, Elvira Mayol Rodríguez, Francisco Rajkai, Kalman Rosa, Diego de la SIDASS project. Part 1. A spatial distributed simulation model predicting the dynamics of agro-physical soil state for selection of management practices to prevent soil erosion.
description	4 pages, 1 figure, 11 references.
format	artículo
topic_facet	SIDASS model Soil erosion User-friendly Pedotransfer functions Hydraulic and mechanical properties
author	Simota, Catalin Horn, Rainer Fleige, Heiner Dexter, Anthony Czyz, E.A. Díaz Pereira, Elvira Mayol Rodríguez, Francisco Rajkai, Kalman Rosa, Diego de la
author_facet	Simota, Catalin Horn, Rainer Fleige, Heiner Dexter, Anthony Czyz, E.A. Díaz Pereira, Elvira Mayol Rodríguez, Francisco Rajkai, Kalman Rosa, Diego de la
author_sort	Simota, Catalin
title	SIDASS project. Part 1. A spatial distributed simulation model predicting the dynamics of agro-physical soil state for selection of management practices to prevent soil erosion.
title_short	SIDASS project. Part 1. A spatial distributed simulation model predicting the dynamics of agro-physical soil state for selection of management practices to prevent soil erosion.
title_full	SIDASS project. Part 1. A spatial distributed simulation model predicting the dynamics of agro-physical soil state for selection of management practices to prevent soil erosion.
title_fullStr	SIDASS project. Part 1. A spatial distributed simulation model predicting the dynamics of agro-physical soil state for selection of management practices to prevent soil erosion.
title_full_unstemmed	SIDASS project. Part 1. A spatial distributed simulation model predicting the dynamics of agro-physical soil state for selection of management practices to prevent soil erosion.
title_sort	sidass project. part 1. a spatial distributed simulation model predicting the dynamics of agro-physical soil state for selection of management practices to prevent soil erosion.
publisher	Elsevier
publishDate	2005-05
url	http://hdl.handle.net/10261/38242
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SIDASS project. Part 1. A spatial distributed simulation model predicting the dynamics of agro-physical soil state for selection of management practices to prevent soil erosion.

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