- 2018–Present: Marie-Curie Early Stage Researcher, Inspire4Nature Project, Centre for Biodiversity & Environment Research and Institute of Zoology
- 2017–2018: Research Assistant at GEOMAR Helmholtz Centre for Ocean Research Kiel (Germany)
- 2014–2017: MSc in Biological Oceanography, University of Kiel and GEOMAR Helmholtz Centre for Ocean Research Kiel (Germany)
- 2010–2014: BSc in Biology, Simon Fraser University (Canada)
I want to understand the drivers of trends in species extinction risk and population size, and how particular species traits and geographical variables affect the predictability of response to these drivers. I am also interested in how sample size affects the accuracy of trend assessment, as well as methods of profiling and targeting relevant geographical regions to improve the efficiency of data collection efforts.
Global biodiversity indicators, such as the Red List Index and Living Planet Index, are valuable tools for assessing trends in species extinction risk and population abundance. However, we lack the necessary resources to gather enough data to assess every species. While it is important to add as many species as possible to the indices, it is also necessary to find ways of increasing the accuracy and robustness of these indicators with limited data.
I am developing methods to more efficiently assess extinction risk and population abundance trends for global biodiversity indicators. I intend to do this by answering the following questions:
1. How many populations must be sampled to robustly estimate the extinction risk or abundance trends of particular regions or groups?
2. How can we apply predictive assessment methods to global indices such as the Living Planet Index?
3. How does the predictability of these trends relate to species traits and geographic factors?
4. On which species or regions should we focus the limited resources for non-predictive assessment methods?
Robin Freeman (IOZ), David Murrell (CBER), Monika Bohm (IOZ)