Citizen science can enhance strategies to detect and manage invasive forest pests and pathogens
Hulbert, Joseph M.; Hallett, Richard A.; Roy, Helen E. ORCID: https://orcid.org/0000-0001-6050-679X; Cleary, Michelle. 2023 Citizen science can enhance strategies to detect and manage invasive forest pests and pathogens. Frontiers in Ecology and Evolution, 11, 1113978. 11, pp. 10.3389/fevo.2023.1113978
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Abstract/Summary
Incorporating a citizen science approach into biological invasion management strategies can enhance biosecurity. Many citizen science projects exist to strengthen the management of forest pest and pathogen invasions within both pre- and post-border scenarios. Besides the value of citizen science initiatives for early detection and monitoring, they also contribute widely to raising awareness, informing decisions about eradication and containment efforts to minimize pest and pathogen spread, and even finding resistant plant material for restoration of landscapes degraded by disease. Overall, many projects actively engage citizens in the different stages of forest pest and pathogen invasions, but it is unclear how they work together across all stages of the entire biological invasion process to enhance biosecurity. Here we provide examples of citizen science projects for each stage of the biological invasion process, discuss options for developing a citizen science program to enhance biosecurity, and suggest approaches for integrating citizen science into biosecurity measures to help safeguard forest resources in the future.
Item Type: | Publication - Article |
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Digital Object Identifier (DOI): | 10.3389/fevo.2023.1113978 |
UKCEH and CEH Sections/Science Areas: | Biodiversity (Science Area 2017-) |
ISSN: | 2296-701X |
Additional Information. Not used in RCUK Gateway to Research.: | Open Access paper - full text available via Official URL link. |
Additional Keywords: | citizen science, invasive species, forest health, biosecurity, public engagement |
NORA Subject Terms: | Ecology and Environment |
Date made live: | 16 Feb 2023 14:50 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/534039 |
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