Vasilis Dakos spends much of his time researching Warning system, Autocorrelation, Tipping point, Complex system and Dynamical systems theory. His study of Warning system brings together topics like Statistical physics and Abrupt climate change. His Statistical physics study frequently links to other fields, such as Alternative stable state.
His Autocorrelation course of study focuses on Ecology and Skewness. His Tipping point research incorporates elements of Work and Financial market. Ecological network, Nanotechnology, Empirical measure, Risk analysis and Surprise are fields of study that intersect with his Complex system research.
His primary areas of investigation include Ecology, Warning system, Alternative stable state, Tipping point and Regime shift. His biological study spans a wide range of topics, including Econometrics and Extinction. His Warning system research incorporates a variety of disciplines, including Autocorrelation, Theoretical ecology, Abrupt climate change, Dynamical systems theory and Critical transition.
His work carried out in the field of Autocorrelation brings together such families of science as Thermohaline circulation and Time series. His Alternative stable state research includes elements of Biological system and Statistical physics. His studies deal with areas such as Community dynamics and Market economy as well as Tipping point.
Vasilis Dakos mainly focuses on Ecology, Environmental change, Ecosystem, Natural resource economics and Climate change. His work on Aquatic ecosystem and Competition as part of general Ecology research is frequently linked to Variable and Acceleration, thereby connecting diverse disciplines of science. Many of his research projects under Ecosystem are closely connected to Trait and Seed dispersal with Trait and Seed dispersal, tying the diverse disciplines of science together.
His Natural resource economics study frequently draws connections to adjacent fields such as Tipping point. Vasilis Dakos combines subjects such as Stratification and Forest dynamics with his study of Climate change. His work in Ecological systems theory addresses issues such as Ecological network, which are connected to fields such as Lead.
Environmental change, Climate change, Risk analysis, Ecological network and Ecological systems theory are his primary areas of study. His Environmental change research incorporates elements of Biodiversity, Natural resource economics, Ecosystem and Natural selection. There are a combination of areas like Radial growth, Warning system, Demography and Scots pine integrated together with his Climate change study.
You can notice a mix of various disciplines of study, such as Robustness, Ecology, Simple, Stability and Resistance, in his Risk analysis studies.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Early-warning signals for critical transitions
Marten Scheffer;Jordi Bascompte;William A. Brock;Victor Brovkin.
Anticipating Critical Transitions
Marten Scheffer;Marten Scheffer;Stephen R. Carpenter;Timothy M. Lenton;Jordi Bascompte.
Toward Principles for Enhancing the Resilience of Ecosystem Services
Reinette Biggs;Reinette Biggs;Maja Schlüter;Maja Schlüter;Duan Biggs;Duan Biggs;Duan Biggs;Erin L. Bohensky.
Slowing down as an early warning signal for abrupt climate change
Vasilis Dakos;Marten Scheffer;Egbert H. van Nes;Victor Brovkin.
Proceedings of the National Academy of Sciences of the United States of America (2008)
Methods for detecting early warnings of critical transitions in time series illustrated using simulated ecological data
Vasilis Dakos;Vasilis Dakos;Stephen R. Carpenter;William A. Brock;Aaron M. Ellison.
PLOS ONE (2012)
Flickering gives early warning signals of a critical transition to a eutrophic lake state
Rong Wang;John A. Dearing;Peter G. Langdon;Enlou Zhang.
Recovery rates reflect distance to a tipping point in a living system
Annelies J. Veraart;Elisabeth J. Faassen;Vasilis Dakos;Egbert H. van Nes.
Resilience indicators: prospects and limitations for early warnings of regime shifts
Vasilis Dakos;Stephen R. Carpenter;Egbert H. van Nes;Marten Scheffer.
Philosophical Transactions of the Royal Society B (2015)
Generic Indicators of Ecological Resilience: Inferring the Chance of a Critical Transition
Marten Scheffer;Stephen R. Carpenter;Vasilis Dakos;Egbert H. van Nes.
Annual Review of Ecology, Evolution, and Systematics (2015)
Living dangerously on borrowed time during slow, unrecognized regime shifts
Terry P. Hughes;Christina Linares;Vasilis Dakos;Vasilis Dakos;Ingrid A. van de Leemput.
Trends in Ecology and Evolution (2013)
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