Long transients in ecology: Theory and applications

This paper discusses the recent progress in understanding the properties of transient dynamics in complex ecological systems. Predicting long-term trends as well as sudden changes and regime shifts in ecosystems dynamics is a major issue for ecology as such changes often result in population collapse and extinctions. Analysis of population dynamics has traditionally been focused on their long-term, asymptotic behavior whilst largely disregarding the effect of transients. However, there is a growing understanding that in ecosystems the asymptotic behavior is rarely seen. A big new challenge for theoretical and empirical ecology is to understand the implications of long transients. It is believed that the identification of the corresponding mechanisms along with the knowledge of scaling laws of the transient's lifetime should substantially improve the quality of long-term forecasting and crisis anticipation. Although transient dynamics have received considerable attention in physical literature, research into ecological transients is in its infancy and systematic studies are lacking. This text aims to partially bridge this gap and facilitate further progress in quantitative analysis of long transients in ecology. By revisiting and critically examining a broad variety of mathematical models used in ecological applications as well as empirical facts, we reveal several main mechanisms leading to the emergence of long transients and hence lays the basis for a unifying theory. © 2019 Elsevier B.V.

Authors
Morozov A.1, 10 , Abbott K.2 , Cuddington K.3 , Francis T.4 , Gellner G.5 , Hastings A.6, 11 , Lai Y.-C.7 , Petrovskii S. 1, 12 , Scranton K.8 , Zeeman M.L.9
Publisher
Elsevier B.V.
Language
English
Status
Published
Year
2020
Organizations
  • 1 Mathematics, University of Leicester, United Kingdom
  • 2 Biology, Case Western Reserve University, United States
  • 3 Biology, University of Waterloo, Canada
  • 4 Tacoma Puget Sound Institute, University of Washington, United States
  • 5 Integrative Biology, University of Guelph, Canada
  • 6 Environmental Science and Policy, University of California, Davis, United States
  • 7 Electrical, Computer and Energy Engineering, Arizona State University, Tempe, United States
  • 8 Ecology and Evolutionary Biology, Yale University, United States
  • 9 Mathematics, Bowdoin College, Brunswick, United States
  • 10 Shirshov Institute of Oceanology, Moscow, Russian Federation
  • 11 Santa Fe Institute, Santa Fe, NM, United States
  • 12 Peoples Friendship University of Russia (RUDN University), Moscow, Russian Federation
Keywords
Ghost attractor; Pattern formation; Regime shift; Slow-fast systems; Transient chaos; Transient dynamics
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Other records

Avdeev S.N., Aisanov Z.R., Belevsky A.S., Beeh K.M., Vizel A.A., Zyryanov S.K., Ignatova G.L., Kostikas K., Leshchenko I.V., Ovcharenko S.I., Sinopal'Nikov A.I., Titova O.N., Shmelev E.I.
Terapevticheskii Arkhiv. Vol. 92. 2020. P. 89-95