Systematic map of models and decision support tools used in agroforestry
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. (2025, Journal Agriculture (Switzerland), submitted).
Leibniz Centre for Agricultural Landscape Research
Role: publisher
Position: Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management
Phone: +49 33432 82 300
Email: dataservice@zalf.de
Deliverypoint: Eberswalder Strasse 84
City: Müncheberg
Administrativearea: Brandenburg
Postalcode: 15374
Country: Germany
Url:
Pavlo Ardanov
Role: author
Email: pavlo.ardanov@gmail.com
Url:
Svitlana Sydorenko
Role: author
Email: svit23sydorenko@gmail.com
Url:
Kyle A. Freedman
Role: author
Email: kafreedman@ucdavis.edu
Url:
Steffen Kolb
Role: author
Email: Steffen.Kolb@zalf.de
Url:
Sonja Brodt
Role: author
Email: sbbrodt@ucanr.edu
Url:
Pavlo Ardanov
Role: projectLeader
Email: pavlo.ardanov@gmail.com
Url:
Leibniz Centre for Agricultural Landscape Research;Research Institute of Forestry and Forest Melioration named after G. M. Vysotsky (URIFFM), Kharkiv, Ukraine;Sustainable Agriculture Research and Education Program, University of California Agriculture and Natural Resources, Davis, California, USA
Role: contributor
Created: 2025-09-29
Updated: 2025-10-17
Temporal extent:
date
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Rights: Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. 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.
Language: eng