Research at the Biodiversity Unit
Research at Biodiversity Unit focuses broadly on biodiversity and ecosystem functions and –services.
The research infrastructure including the botanical garden and two field stations, long-term experiments and environmental monitoring datasets and scientific collections provides an excellent support for multidisciplinary research on topical questions such as climate change, biodiversity crisis, and the sustainable use and protection of natural resources in both natural and man-made environments.
In addition to its own research, the Biodiversity Unit promotes multidisciplinary research at the university and serves as a showcase for public outreach.
Our research
New publications
Performance and first measurements of the MAGIC stellar intensity interferometer (2024)
Monthly Notices of the Royal Astronomical Society
(Refereed journal article or data article (A1))
Liiketaloustieteellinen matkailututkimus Suomessa (2024)
Matkailututkimus
(Refereed review article in scientific journal (A2))
How to Make Live Music Events Safer for Everyone? (2024)
(Refereed article in compilation book (A3))Re-evaluation of Padre Secchi’s visual method for modern oceanography (2024)
Frontiers in Marine Science
(A1 Refereed original research article in a scientific journal)
Ramp traps versus pitfall traps for collecting epigeal arthropods: a case study in a coniferous forest in Southwest Finland (2024)
Biodiversity
(Refereed journal article or data article (A1))
Forecasting daily total pollen concentrations on a global scale (2024)
Allergy
(A1 Refereed original research article in a scientific journal)
Regional and temporal variation in escape history of Norwegian farmed Atlantic salmon (2024)
ICES Journal of Marine Science
(Refereed journal article or data article (A1))
Acknowledging and understanding the contributions of nature to human sense of time (2024)
People and Nature
(Article or data-article in scientific journal (B1))
gtrendsAPI: An R wrapper for the Google Trends API (2024)
Software impacts
(Refereed journal article or data article (A1))
Can citizen science and social media images support the detection of new invasion sites? A deep learning test case with Cortaderia selloana (2024)
Ecological Informatics
(Refereed journal article or data article (A1))