PhD Student Johanna K Yletyinen defends her thesis "Multiple Drivers Effects on Marine Systems: Novel Approaches for Studying Structural Changes" on Friday 3rd June, at 10 am in the Nordenskiöldsalen, Geovetenskaps hus (Gelological Department), SU.
Supervisors
- Thorsten Blenckner (SRC)
- Örjan Bodin (SRC)
- Erik Bonsdorff (Åbo Akademi University)
Opponent
- Daniel Stouffer (School of Biological Sciences, University of Canterbury)
Evaluation Committee
- Anna Eklöf (Department of Physics, Chemistry and Biology, Linköping University)
- Clare Bradshaw (Department for Ecology, Environment and Plant Sciences, SU)
- Andrea Belgrano (Department of Aquatic Resources, SLU)
- Chair: Jon Norberg
Further info: Spikning / nailing of the thesis: Friday, 13th of May at 14:00 in the SRC lobby
Abstract
Human action is transforming the species composition, biogeochemistry and habitats of the world’s oceans at unprecedented rates. The cumulative effect of natural and anthropogenic drivers is challenging to measure, in part due to indirect effects and the complexity of marine systems. Building on the theory of complex adaptive systems, this thesis aims to increase our understanding of how complex, heterogeneous marine social-ecological systems (SES) may respond to changing conditions. This thesis integrates resilience research with network science and describes change and structural patterns at several SES scales in order to advance our knowledge on the effects of multiple drivers.
Paper I proposes a new, quantitative fish stock collapse definition, that accounts for fish stock dynamics and enables standardization and thus comparability across a large number of commercial fish stocks. Recognizing that substantial ecosystem changes are part of SES dynamics, in Paper II we review marine regime shifts worldwide to specify how co-occurring bundles of drivers are related to degraded ecosystem services for management purposes. A more detailed ecological study on regime shifts was performed in Papers III and IV. Paper III describes the late-1980s central Baltic Sea regime shift based on a food-web model. Paper IV uses a novel structural network analysis approach to detect functional shifts in complex food webs. The results of Paper IV imply that the Baltic Sea regime shift may not be a system-wide shift. Paper V uses a network approach to analyze fishing strategy diversification and social-ecological connectivity among Swedish Baltic Sea fishers, indicating that natural resource management evaluations should not be limited only to ecosystem conditions but also take account of social conditions.
Overall, this thesis provides empirical evidence for the emerging perspective that marine resource science and management must account for the complexity of system elements in order to ensure the provision of ecosystem services in the future. The first application of Exponential Random Graph Modeling in ecology and an improved fish stock collapse definition provide new advanced tools for studying oceans from a SES perspective in the future.