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Johanna Yletyinen

Researcher at Landcare Research

Publications -  23
Citations -  677

Johanna Yletyinen is an academic researcher from Landcare Research. The author has contributed to research in topics: Climate change & Marine ecosystem. The author has an hindex of 9, co-authored 22 publications receiving 481 citations. Previous affiliations of Johanna Yletyinen include Stockholm University & University of Oslo.

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Marine regime shifts: drivers and impacts on ecosystems services

TL;DR: In this article, the authors reviewed the scientific literature for 13 types of marine regime shifts and used networks to conduct an analysis of co-occurrence of drivers and ecosystem service impacts.
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Combined effects of global climate change and regional ecosystem drivers on an exploited marine food web

TL;DR: A new multimodel approach was used to project how the interaction of climate, nutrient loads, and cod fishing may affect the future of the open Central Baltic Sea food web and showed that regional management is likely to play a major role in determining thefuture of the Baltic Sea ecosystem.
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Ecological network indicators of ecosystem status and change in the Baltic Sea.

TL;DR: The analyses of indicators suggested that the central Baltic Sea ecosystem’s resilience was higher prior to 1988 and lower thereafter, and the ecosystem topology changed from a web-like structure to a linearized food-web.
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Scientists' Warning to Humanity on Threats to Indigenous and Local Knowledge Systems

TL;DR: The World Scientists' Warning to Humanity, issued by the Alliance of World Scientists, by exploring opportunities for sustaining ILK systems on behalf of the future stewardship of our planet as discussed by the authors raises the alarm about the pervasive and ubiquitous erosion of knowledge and practice and the social and ecological consequences of this erosion.
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Regime shifts in marine communities: a complex systems perspective on food web dynamics.

TL;DR: This study emphasizes the importance of community-wide analysis on marine regime shifts and introduces a novel approach to examine food webs, which draws on complexity theory and integrates the network-centric exponential random graph modelling framework developed within the social sciences with community ecology.