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
Authors | Smith, T. |
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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. |
Keywords | Trees; identification; public; education; management |
Year | 2019 |
Journal | Forests, Trees and Livelihoods |
Publisher | Taylor and Francis Online |
ISSN | 1472-8028 |
Digital Object Identifier (DOI) | https://doi.org/10.1080/14728028.2019.1686071 |
Official URL | https://doi.org/10.1080/14728028.2019.1686071 |
Related URL | https://www.tandfonline.com/ |
Publication dates | |
Online | 29 Oct 2019 |
Publication process dates | |
Deposited | 05 Dec 2019 |
Accepted | 15 Nov 2019 |
Accepted author manuscript | |
Output status | Published |
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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