Resilience indicators: prospects and limitations for early warnings of regime shifts
By Vasilis Dakos, Stephen R. Carpenter, E. V. van Nes, Marten Scheffer. Philosophical Transactions of the Royal Society B: Biological Sciences, 2015
560 citations recorded by the source corpus.
Subfields: Atmospheric Science, Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/53409a117c16efc8d5e93c4c275ba56cb25d4c44
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
In Environmental Engineering
In Global and Planetary Change
- Sonia Kefi
- Vasilis Dakos
- Wolfgang Lucht
- Johannes Ingrisch
- M. Bahn
- Garry D. Peterson
- J. Rockström
- F. Brand
Citations in the corpus
- Measuring and assessing resilience: broadening understanding through multiple disciplinary perspectives (2016, background): “Finally, how resilience is defined and understood is critical, and while some degree of conceptual vagueness may have benefits, being clear about what exactly is being measured, how and any limitations, must be made explicit (Struntz 2012; Dakos et al. 2015).”
- Towards a Comparable Quantification of Resilience. (2018, background): “To be able to predict tipping points, comprehensive datasets with long time series are required that permit the quantification of a critical slowing down of a system [23,39].”
- Ecological resilience: what to measure and how (2022, background): “Regime shifts can be caused by ways that are not related to loss of ecological resilience or the presence of alternative states (Dakos et al 2015, Ratajczak et al 2018).”
- Social tipping dynamics for stabilizing Earth’s climate by 2050 (2020, background): “Many authors refer to critical thresholds (16, 28), a notion closely related to the metaphor of a “butterfly effect” (31, 32).”