Critical slowing down indicators

被引:35
作者
Nazarimehr, Fahimeh [1 ]
Jafari, Sajad [1 ,2 ]
Perc, Matjaz [3 ,4 ,5 ]
Sprott, Julien C. [6 ]
机构
[1] Amirkabir Univ Technol, Biomed Engn Dept, Tehran, Iran
[2] Amirkabir Univ Technol, Hlth Technol Res Inst, Tehran, Iran
[3] Univ Maribor, Fac Nat Sci & Math, Koroska Cesta 160, Maribor 2000, Slovenia
[4] China Med Univ, China Med Univ Hosp, Dept Med Res, Taichung, Taiwan
[5] Complex Sci Hub Vienna, Josefstadterstr 39, A-1080 Vienna, Austria
[6] Univ Wisconsin, Dept Phys, 1150 Univ Ave, Madison, WI 53706 USA
关键词
89; 75; -k; 05; 45; -a; EARLY-WARNING SIGNALS; DYNAMICAL RESILIENCE INDICATORS; BLOOD-PRESSURE; REGIME SHIFTS; RECOVERY; ONSET; TIME; TELECONNECTIONS; EUTROPHICATION; PREDICTION;
D O I
10.1209/0295-5075/132/18001
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Critical slowing down is considered to be an important indicator for predicting critical transitions in dynamical systems. Researchers have used it prolifically in the fields of ecology, biology, sociology, and finance. When a system approaches a critical transition or a tipping point, it returns more slowly to its stable attractor under small perturbations. The return time to the stable state can thus be used as an index, which shows whether a critical change is near or not. Based on this phenomenon, many methods have been proposed to determine tipping points, especially in biological and social systems, for example, related to epidemic spreading, cardiac arrhythmias, or even population collapse. In this perspective, we briefly review past research dedicated to critical slowing down indicators and associated tipping points, and we outline promising directions for future research.
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收藏
页数:7
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共 96 条
  • [1] Mapping the distinct origins of bimodality in a classic model with alternative stable states
    Abbott, Karen C.
    Dakos, Vasilis
    [J]. THEORETICAL ECOLOGY, 2021, 14 (04) : 673 - 684
  • [2] Network-based identification and characterization of teleconnections on different scales
    Agarwal, Ankit
    Caesar, Levke
    Marwan, Norbert
    Maheswaran, Rathinasamy
    Merz, Bruno
    Kurths, Juergen
    [J]. SCIENTIFIC REPORTS, 2019, 9 (1)
  • [3] Bathiany S., 2018, SCI REP-UK, V8, P1
  • [4] Early warning signals of regime shifts in coupled human-environment systems
    Bauch, Chris T.
    Sigdel, Ram
    Pharaon, Joe
    Anand, Madhur
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2016, 113 (51) : 14560 - 14567
  • [5] Turning back from the brink: Detecting an impending regime shift in time to avert it
    Biggs, Reinette
    Carpenter, Stephen R.
    Brock, William A.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2009, 106 (03) : 826 - 831
  • [6] Regime shifts of Mediterranean forest carbon uptake and reduced resilience driven by multidecadal ocean surface temperatures
    Carnicer, Jofre
    Domingo-Marimon, Cristina
    Ninyerola, Miquel
    Julio Camarero, Jesus
    Bastos, Ana
    Lopez-Parages, Jorge
    Blanquer, Laura
    Rodriguez-Fonseca, Belen
    Lenton, Timothy M.
    Dakos, Vasilis
    Ribas, Montserrat
    Gutierrez, Emilia
    Penuelas, Josep
    Pons, Xavier
    [J]. GLOBAL CHANGE BIOLOGY, 2019, 25 (08) : 2825 - 2840
  • [7] Early warnings of unknown nonlinear shifts: a nonparametric approach
    Carpenter, S. R.
    Brock, W. A.
    [J]. ECOLOGY, 2011, 92 (12) : 2196 - 2201
  • [8] Carpenter SR, 1999, ECOL APPL, V9, P751, DOI 10.1890/1051-0761(1999)009[0751:MOEFLS]2.0.CO
  • [9] 2
  • [10] Rising variance: a leading indicator of ecological transition
    Carpenter, SR
    Brock, WA
    [J]. ECOLOGY LETTERS, 2006, 9 (03) : 308 - 315