Human activity–driven changes are profoundly modifying the functioning of the world ecosystems. Disentangling the long-term natural variability of an ecosystem from these changes requires consistent, repeated long-term time-series observations. This session celebrates long-term time-series as critical instruments for detecting and addressing environmental challenges, allowing us to target management and policy responses for protecting biodiversity and ecosystem services.
The session's presentations and round table discussions will be structured along three key topics.
Topic 1. Trends from long-term time-series and what they reveal about our marine ecosystems.
Topic 2. Complementing long-term time-series with new methods and new time-series.
Topic 3. Improving knowledge transfer to governments and policy makers.
This session welcomes submissions that stimulate discussion of
- The importance of long-term time-series for observing/understanding climate change, ecosystem change, and effectiveness of management;
- The relevance of long-term time-series at global, regional, and local levels;
- Identifying the spatial resolutions most appropriate for different purposes and whether this can be achieved by incorporating new techniques (e.g. AI, eDNA) and automated data collection; and
- Approaches to standardization across data-collection methods.
