Thank you again for your question.
As I said, long‑term datasets provide a better understanding of the causes of changes. Obviously, changes can be caused by global warming, but sometimes by other factors too, including factors outside the Arctic. Long‑term datasets make it possible to differentiate between normal and abnormal variations and to identify causes.
The issue is that our funding systems focus much more on short‑term, novelty or species‑specific projects. This is a real issue when it comes to understanding the impact of climate change on Arctic ecosystems.
Also, the different components of ecosystems don't react at the same speed. Some components react quickly, while others react much more slowly. Sometimes, our long‑term time series help us understand the diversity in the reaction of ecosystems. The next Arctic ecosystems will be different. There will be a regeneration and reassembly of ecosystem components that don't react at the same speed. Long‑term datasets help us detect this type of change and better anticipate it.