Assessing the UK public’s ability to identify trees using the analysis of photographic queries

Journal article


Smith, T. 2019. Assessing the UK public’s ability to identify trees using the analysis of photographic queries. Forests, Trees and Livelihoods. https://doi.org/10.1080/14728028.2019.1686071
AuthorsSmith, T.
Abstract

Engagement with the natural world is a key aspect to its protection, and so knowing what species the public can identify is important in allocating often limited time and resources. This study examines a data-set of photographic identification that were sent to the Woodland Trust to be identified. The analysis found that deciduous rather than evergreen trees were most frequently queried, with Spring and Autumn the most active seasons for engagement. Individual genus and species were isolated from the data, more variable species appearing to be most often queried. Suggestions on how these data can be utilised are given, as well as its limitations.

KeywordsTrees; identification; public; education; management
Year2019
JournalForests, Trees and Livelihoods
PublisherTaylor and Francis Online
ISSN1472-8028
Digital Object Identifier (DOI)https://doi.org/10.1080/14728028.2019.1686071
Official URLhttps://doi.org/10.1080/14728028.2019.1686071
Related URLhttps://www.tandfonline.com/
Publication dates
Online29 Oct 2019
Publication process dates
Deposited05 Dec 2019
Accepted15 Nov 2019
Accepted author manuscript
Output statusPublished
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https://repository.canterbury.ac.uk/item/8q0xv/assessing-the-uk-public-s-ability-to-identify-trees-using-the-analysis-of-photographic-queries

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