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The model predicts soil loss in catchments based on the Revised Universal Soil Loss Equation (RUSLE) by taking into account the influences of rainfall, soil erodibility, vegetation cover and 2-dimensional variations in landscape structure. The predicted soil erosion rates were transformed into risk values in order to identify areas with higher risk for erosion. Model results indicate a large spatial variability in soil erosion risk patterns, with higher risks occurring on slopes greater than 8% on land under non-agroforestry use. The soil erosion risk maps were used to formulate site-specific agroforestry recommendations for future landscape amelioration plans.", "keywords": ["2. Zero hunger", "soil erosion", "13. Climate action", "upland areas", "RUSLE", "WaTEM/SEDEM", "the Philippines", "15. 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2025-10-28", "type": "Dataset", "created": "2025-09-29", "language": "eng", "title": "Systematic map of models and decision support tools used in agroforestry", "description": "The dataset summarizes information on models and decision support tools used in agroforestry based on systematic mapping of academic publications complemented by screening the web-sites of international agroforestry organizations. Publications were retrieved on 19.04.2024 from Scopus and Web of Science, and 859 records from 658 sources were included into the dataset. Records include model name and description, specification of source data and modelled diversification (spatial, temporal and system components), and the list of modelled agroecosystem functions and design attributes. The description of systematic literature mapping protocol is given in Ardanov et al. 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