Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
  Climate Impacts on Forest and Grassland Resilience in China: The Role of Climate Inter‐Annual Variability

Wang, L., Nian, D., Yuan, N. (2025): Climate Impacts on Forest and Grassland Resilience in China: The Role of Climate Inter‐Annual Variability. - Geophysical Research Letters, 52, 20, e2025GL116854.
https://doi.org/10.1029/2025GL116854

Item is

Dateien

einblenden: Dateien
ausblenden: Dateien
:
Geophysical Research Letters - 2025 - Wang - Climate Impacts on Forest and Grassland Resilience in China The Role of.pdf (Verlagsversion), 2MB
Name:
Geophysical Research Letters - 2025 - Wang - Climate Impacts on Forest and Grassland Resilience in China The Role of.pdf
Beschreibung:
-
OA-Status:
Gold
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Wang, Lifeng1, Autor
Nian, Da2, Autor                 
Yuan, Naiming1, Autor
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: Understanding how vegetation resilience responds to climate change is crucial for maintaining ecosystem functions. This study focuses on forest and grassland ecosystems and uses theoretical recovery rate as a measure to assess climate impacts on their resilience over China. Our findings reveal that vegetation resilience varies across aridity-dependent climate zones, with each zone showing different resilience–aridity relationships. Particularly, semi-arid zones exhibit the lowest vegetation resilience, where the forest resilience declines as inter-annual temperature and precipitation variability increases. In zones with sufficient water, the forest resilience remains stable. Grassland resilience decreases with increasing precipitation variability, but is insensitive to inter-annual temperature variability. Future projections highlight the potential threat of climate change to regions encompassing more than 20% of vegetated areas, particularly in the forest-grassland ecotones of North China. These findings enhance our understanding of climate-ecosystem interactions and support the anticipation and management of ecosystem risks under climate change.

Details

einblenden:
ausblenden:
Sprache(n): eng - English
 Datum: 2025-10-252025-10-28
 Publikationsstatus: Final veröffentlicht
 Seiten: 12
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1029/2025GL116854
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
OATYPE: Gold Open Access
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Geophysical Research Letters
Genre der Quelle: Zeitschrift, SCI, Scopus, p3
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 52 (20) Artikelnummer: e2025GL116854 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals182
Publisher: Wiley