Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  Empirical evidence for recent global shifts in vegetation resilience

Smith, T., Traxl, D., Boers, N. (2022): Empirical evidence for recent global shifts in vegetation resilience. - Nature Climate Change, 12, 477-484.
https://doi.org/10.1038/s41558-022-01352-2

Item is

Dateien

einblenden: Dateien
ausblenden: Dateien
:
27903oa.pdf (Verlagsversion), 12MB
Name:
27903oa.pdf
Beschreibung:
-
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Smith, Taylor1, Autor
Traxl, Dominik2, Autor              
Boers, Niklas2, Autor              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: The character and health of ecosystems worldwide is tightly coupled to changes in Earth’s climate. Theory suggests that ecosystem resilience—the ability of ecosystems to resist and recover from external shocks such as droughts and fires—can be inferred from their natural variability. Here, we quantify vegetation resilience globally with complementary metrics based on two independent long-term satellite records. We first empirically confirm that the recovery rates from large perturbations can be closely approximated from internal vegetation variability across vegetation types and climate zones. On the basis of this empirical relationship, we quantify vegetation resilience continuously and globally from 1992 to 2017. Long-term vegetation resilience trends are spatially heterogeneous, with overall increasing resilience in the tropics and decreasing resilience at higher latitudes. Shorter-term trends, however, reveal a marked shift towards a global decline in vegetation resilience since the early 2000s, particularly in the equatorial rainforest belt.

Details

einblenden:
ausblenden:
Sprache(n): eng - Englisch
 Datum: 2022-04-282022-05
 Publikationsstatus: Final veröffentlicht
 Seiten: 18
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1038/s41558-022-01352-2
MDB-ID: Entry suspended
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: FutureLab - Artificial Intelligence in the Anthropocene
OATYPE: Hybrid Open Access
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Nature Climate Change
Genre der Quelle: Zeitschrift, SCI, Scopus, p3
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 12 Artikelnummer: - Start- / Endseite: 477 - 484 Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/140414
Publisher: Nature