Towards standardising the collection of game statistics in Europe: a case study

• Published in: European journal of wildlife research 2023-12, Vol.69 (6), p.122, Article 122
• Main Authors: Ruiz-Rodríguez, Carmen, Blanco-Aguiar, José A., Gómez-Molina, Azahara, Illanas, Sonia, Fernández-López, Javier, Acevedo, Pelayo, Vicente, Joaquín
• Format: Article
• Language: English
• Subjects: Applications programs; Biomedical and Life Sciences; Case studies; Data collection; Data exchange; Ecology; Economic factors; Fish & Wildlife Biology & Management; Game animals; Hunting; Information transfer; Life Sciences; Monitoring; Natural resource management; Natural resources; Population (statistical); Social factors; Socioeconomic factors; Socioeconomics; Software; Standardization; Statistics; Temporal resolution; Wildlife; Wildlife management; Zoology
• ISSN: 1612-4642; 1439-0574
• DOI: 10.1007/s10344-023-01746-3

In order to monitor wildlife populations in a manner that supports policy makers and natural resource managers, data must be collected using frameworks and methodologies that allow for comparisons between projects and across time. Though hunting statistics may represent a reliable data source for monitoring population trends in game species, a standardised framework for collecting and analysing this data has never been established in Europe, even within countries. Here we describe a case study on the use of hunting statistics in Spain in order to (i) describe the variability in big game statistics collection frameworks across mainland regions of Spain and (ii) propose a minimum common denominator for a standardised approach at the country level. The main differences in methodologies identified are that each region collects different variables, uses different spatial and temporal resolution, and follows different methodologies. We described spatial patterns by grouping regions based on similarities in the hunting data collection system and identified socio-economic factors as a potential driver of differences in methodologies among regions. Hunting effort-related variables and improved temporal resolution (to the event level) must be incorporated in order to achieve country-level standardisation of methodologies. The use of application software to collect information from the field in a standardised way is recommended, which necessitates engaging stakeholders as part of the monitoring process. Applications software should be designed intentionally, and only after clear objectives for the monitoring program have been defined. Making hunting data open access will improve collaboration and information transfer to scientific and professional sectors. Our recommendations can be adapted to other European countries, which would make hunting data more useful for population monitoring and wildlife policy-making at large spatial scales. Initiatives such as the “European Wildlife Observatory” ( www.wildlifeobservatory.org ), a network of wildlife observation and monitoring points in Europe, may improve data exchange and standardise protocols, leading to better utilisation of hunting statistics for European wildlife population monitoring.