Data for: An analysis of conservation practice adoption studies in agricultural human-natural systems

Published: 13 Feb 2019 | Version 1 | DOI: 10.17632/nmmx94whmm.1
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Description of this data

The supplementary materials contains the full coded dataset for a systematic literature review of 174 studies examining farmers' adoption of conservation practices. It lists each of the 174 peer-reviewed journal articles lead author's last name, year published, and full title, as well as an additional 20 articles that were omitted from coded. It contains definitions for each code and indicates which codes were selected within each article, as well as overall totals. There are two additional spreadsheets that provide the entire 2,044 unique journal articles returned from the full search results and the full search string used in each Web of Science search. The document provides details on how diverse studies characterize conservation adoption from a couple human-natural systems perspective, including types of adoption metrics and whether conservation outcomes are measured, farm characteristics, farmer demographics, individual farmer ability and willingness, social dimensions, and governance factors.

Experiment data files

This data is associated with the following publication:

An analysis of conservation practice adoption studies in agricultural human-natural systems

Published in: Journal of Environmental Management

Latest version

  • Version 1

    2019-02-13

    Published: 2019-02-13

    DOI: 10.17632/nmmx94whmm.1

    Cite this dataset

    Yoder, Landon; Ward, Adam; Dalrymple, Kajsa; Spak, Scott; Lave, Rebecca (2019), “Data for: An analysis of conservation practice adoption studies in agricultural human-natural systems”, Mendeley Data, v1 http://dx.doi.org/10.17632/nmmx94whmm.1

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Categories

Geography, Human-Environmental Interaction, Agri-Environmental Scheme

Licence

CC BY NC 3.0 Learn more

The files associated with this dataset are licensed under a Attribution-NonCommercial 3.0 Unported licence.

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You are free to adapt, copy or redistribute the material, providing you attribute appropriately and do not use the material for commercial purposes.

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