Opportunistic citizen science expands spatial monitoring but rarely advances early detection of invasive forest wood-boring pests

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Article title
Abstract
Key words
Introduction
Materials and methods
- Data collection
  - Official first records
  - Citizen science records
  - Species traits, attention, and record availability
- Statistical analyses
  - Definition and calculation of time lag
  - Statistical analysis of the time lag at the national scale
  - Statistical analysis of species-level predictors
  - Spatial structure analysis at the municipal scale in China
  - Statistical analysis of China-scale Coleoptera records and log-import trade value
  - Visualization and statistical implementation
Results
- National-scale citizen science coverage and time-lag patterns
- Species traits shape citizen science recording intensity
- Spatial distribution patterns of citizen science and official records of invasive forest pests at the municipal scale in China
Discussion
- The distribution of time lags
- Detectability and identification difficulty constrain citizen science recording for invasive forest wood-boring pests
- Uneven observation availability shapes spatial patterns in citizen science records
- Context-dependent roles of citizen science in pest detection
- Limitations
Conclusions
Acknowledgements
References
Additional information
- Conflict of interest
- Ethical statement
- Artificial Intelligence (AI) use
- Funding
- Author contributions
- Author ORCIDs
- Data availability
Supplementary materials

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