Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
  Tipping point detection and early warnings in climate, ecological, and human systems

Dakos, V., Boulton, C. A., Buxton, J. E., Abrams, J. F., Arellano-Nava, B., McKay, D. I. A., Bathiany, S., Blaschke, L., Boers, N., Dylewsky, D., López-Martínez, C., Parry, I., Ritchie, P., van der Bolt, B., van der Laan, L., Weinans, E., Kéfi, S. (2024): Tipping point detection and early warnings in climate, ecological, and human systems. - Earth System Dynamics, 15, 4, 1117-1135.
https://doi.org/10.5194/esd-15-1117-2024

Item is

Dateien

einblenden: Dateien
ausblenden: Dateien
:
30024oa.pdf (Verlagsversion), 4MB
Name:
30024oa.pdf
Beschreibung:
-
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Dakos, Vasilis1, Autor
Boulton, Chris A.1, Autor
Buxton, Joshua E.1, Autor
Abrams, Jesse F.1, Autor
Arellano-Nava, Beatriz1, Autor
McKay, David I. Armstrong1, Autor
Bathiany, Sebastian1, Autor
Blaschke, Lana2, Autor              
Boers, Niklas2, Autor              
Dylewsky, Daniel1, Autor
López-Martínez, Carlos1, Autor
Parry, Isobel1, Autor
Ritchie, Paul1, Autor
van der Bolt, Bregje1, Autor
van der Laan, Larissa1, Autor
Weinans, Els1, Autor
Kéfi, Sonia1, Autor
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: Tipping points characterize the situation when a system experiences abrupt, rapid, and sometimes irreversible changes in response to only a gradual change in environmental conditions. Given that such events are in most cases undesirable, numerous approaches have been proposed to identify if a system is approaching a tipping point. Such approaches have been termed early warning signals and represent a set of methods for identifying statistical changes in the underlying behaviour of a system across time or space that would be indicative of an approaching tipping point. Although the idea of early warnings for a class of tipping points is not new, in the last 2 decades, the topic has generated an enormous amount of interest, mainly theoretical. At the same time, the unprecedented amount of data originating from remote sensing systems, field measurements, surveys, and simulated data, coupled with innovative models and cutting-edge computing, has made possible the development of a multitude of tools and approaches for detecting tipping points in a variety of scientific fields. However, we miss a complete picture of where, how, and which early warnings have been used so far in real-world case studies. Here we review the literature of the last 20 years to show how the use of these indicators has spread from ecology and climate to many other disciplines. We document what metrics have been used; their success; and the field, system, and tipping points involved. We find that, despite acknowledged limitations and challenges, in the majority of the case studies we reviewed, the performance of most early warnings was positive in detecting tipping points. Overall, the generality of the approaches employed – the fact that most early warnings can in theory be observed in many dynamical systems – explains the continuous multitude and diversification in their application across scientific domains.

Details

einblenden:
ausblenden:
Sprache(n): eng - Englisch
 Datum: 2024-08-192024-08-19
 Publikationsstatus: Final veröffentlicht
 Seiten: 19
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Organisational keyword: FutureLab - Artificial Intelligence in the Anthropocene
Model / method: Nonlinear Data Analysis
Research topic keyword: Tipping Elements
MDB-ID: No data to archive
OATYPE: Gold Open Access
DOI: 10.5194/esd-15-1117-2024
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Earth System Dynamics
Genre der Quelle: Zeitschrift, SCI, Scopus, p3, oa
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 15 (4) Artikelnummer: - Start- / Endseite: 1117 - 1135 Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1402282
Publisher: Copernicus