Edgestress has provided fundamentally new information on the effects of climate change on species physiology and ecosystem structure and functioning. The intertidal ecosystem at high latitudes is poorly described, and global patterns in biodiversity isn’t well understood. I have shown how global patterns on intertidal biodiversity are, to a high extend, controlled by local processes, and not latitudinal changes in the climate. Moreover, I placed biomimetic temperature sensors for measuring body temperatures of key species, and this data is being used to calculate how the body temperature of mussels actually response to heat at high latitudes.
My results show a remarkable resilience in blue mussels to global warming. Physiological measurements have been done on all biological levels from genes, protein expression, to whole-animal responses. Furthermore, have I been exploring the effects of multiple stressors on sensitivity to warming. For instance have I looked at how parasites affects thermal tolerance, and the preliminary results clearly show that parasite infections interfere with thermal tolerance of the host organisms. I have also investigated the interaction of ocean acidification and thermal stress on several blue mussel species
In West Greenland, two species on blue mussels are present - the southern Mytilus edulis and the northern Mytilsu trossulus. In North Greenland, there is a hybrid zone in which the two species overlap, and to increase knowledge on how the two series response to climate change, laboratory experiments have been conducted on thermal tolerance. The Northern species seems to struggle compared to the southern species under warmer conditions, indicating a potential shift in species dominance and distribution.
When conducting experiments on Mytilus mussels, a key challenge is to identify the species. Mytilus are cryptic species making it impossible to distinquish them by visual inspection. The classic approach to this issue has been to confirm the species ID after the experiment, using of DNA extraction. However, for laboratory experiment, knowing the ID before the experiment would optimise the experimental design and reduce the number of animals needed. I have worked on a designed a code in the R program that via machine learning use Elliptic Fourier analyses of shells outliners to distinguish individual Mytilus species. For now, the results indicate that this method can distinguish the species with a 73% success rate, but I am continuously finetuning the method, and the hope is to reach an 85-90% rate.
Results from EdgeStress includes:
- Public presentations at science events
- Presentations at scientific conferences
- Supervision and talent development of students at all level
- 8 published peer-reviewed papers, with multiple more in preparation
- outreach at social media