VIII International Symposium on Marine Sciences, 6-8 July 2022, Las Palmas de Gran Canaria, España
Citizen science is a tool that will contribute, increasingly, to improve the knowledge of the natural environment and face the Sustainable Development Goals with the involvement of the citizens, acquiring new information and data that will be used in scientific studies or in governance (Soacha et al, 2022). In these terms, it is important to energize activities that allow the citizens in scientific projects and be part of the entire decision-making process, with data endorsed by the academy. The use of citizen science has relevant results, for example in terms of floods (Ferri et al, 2019; Lanfranchi et al, 2014), monitoring of odors (https://odourobservatory.org/; Bax et al, 2020) or for example, in terms of biodiversity, the study of the bird communities (Tulloch, 2013). But, in marine environment, they are few in proportion the knowledge contributions of the citizen science in this area. Our group aims to create tools that permit the citizen contribute with the science in all entire decision-making process, and in this case we created the initiative BioMARathon, a marine Bioblitz (citizen census of biodiversity in a concrete dates and locations) to acquire the maximum number of marine species in the Catalan coast. To improve the engagement of the activity, we use the Quintuple helix model of innovation (Liñan et al, submitted) that includes the participation of enabled entities to energize the citizens and the involvement of local administrations to recognize the work and results of the initiative. We want to expose the highlight of the project with a poster that shows the excellent work of the citizens in this bioblitz, with more of 1060 taxas censored, 117 participants and more of 10000 observations of biodiversity in this first attempt that will repeat this 2022. All the data are disponible in Natusfera: https://natusfera.gbif.es/projects/biomarato-2021-catalunya
This work has been supported by Cos4Cloud project which has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 863463. ICM-CSIC authors acknowledge the institutional support of the 'Severo Ochoa Center of Excellence' accreditation (CEX2019- 000928-S)