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Topographic and climatic controls of peatland distribution on the Tibetan Plateau.
Sun, Jingjing; Gallego-Sala, Angela; Yu, Zicheng.
Afiliación
  • Sun J; Key Laboratory of Geographical Processes and Ecological Security in Changbai Mountains (Ministry of Education), School of Geographical Sciences, Northeast Normal University, Changchun, Jilin, 130024, China.
  • Gallego-Sala A; Geography Department, College of Life and Environmental Sciences, University of Exeter, Exeter, Devon, EX4 4QE, UK.
  • Yu Z; Geography Department, College of Life and Environmental Sciences, University of Exeter, Exeter, Devon, EX4 4QE, UK. a.gallego-sala@exeter.ac.uk.
Sci Rep ; 13(1): 14811, 2023 Sep 08.
Article en En | MEDLINE | ID: mdl-37684329
ABSTRACT
The Tibetan Plateau (TP) hosts a variety of mountain peatlands that are sensitive to the amplified warming in this region. However, we still lack a basic understanding of environmental and climatic factors controlling peatland distribution in the region. Here we use a bioclimatic envelope model (PeatStash) and environmental analysis that utilise three peatland datasets-(a) the well-studied Zoige peatland complex, (b) a literature-based dataset of TP peatlands sites, and (c) an existing global peatland map (PEATMAP)-to investigate major drivers of peatland distribution in the TP. The Zoige peatland complex is defined by gentle slopes (< 2°), mean annual temperature at 0-2 °C, and soil moisture index > 1.7, much narrower thresholds than those stemming from PEATMAP. Using these narrower thresholds to predict future changes, we found that the Zoige peatland complex will shrink greatly under full-range future warming scenarios (both SSP1-2.6 and SSP5-8.5). Modelling peatland distribution in the entire TP remains challenging because accurate environmental and climate data at high resolution and a reliable peatland distribution map are still lacking. Improved peatland mapping supported by ground-truthing is necessary to understand drivers of peatland distribution, assess carbon storage and other ecosystem services, and predict the TP's peatlands fate under climate change.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: China