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Potential decline in carbon carrying capacity under projected climate-wildfire interactions in the Sierra Nevada.
Liang, Shuang; Hurteau, Matthew D; Westerling, Anthony LeRoy.
Affiliation
  • Liang S; Intercollege Graduate Degree Program in Ecology and Department of Ecosystem Science and Management, The Pennsylvania State University, University Park, PA, USA.
  • Hurteau MD; Department of Biology, University of New Mexico, Albuquerque, NM, USA. mhurteau@unm.edu.
  • Westerling AL; Sierra Nevada Research Institute, University of California, Merced, CA, USA.
Sci Rep ; 7(1): 2420, 2017 05 25.
Article in En | MEDLINE | ID: mdl-28546560
ABSTRACT
Ecosystem carbon carrying capacity (CCC) is determined by prevailing climate and natural disturbance regimes, conditions that are projected to change significantly. The interaction of changing climate and its effects on disturbance regimes is expected to affect forest regeneration and growth, which may diminish forest carbon (C) stocks and uptake. We modeled landscape C dynamics over 590 years along the latitudinal gradient of the U.S. Sierra Nevada Mountains under climate and area burned by large wildfires projected by late 21st century. We assumed climate and wildfire stabilize at late-21st century conditions (2090-2100) to facilitate analysis of lags between warming and changing CCC. We show that compared with historical (1980-2010) climate and wildfire conditions, projected scenarios would drive a significant decrease of up to 73% in mean total ecosystem carbon (TEC) by the end of the 590-year simulation. Tree regeneration failure due to intensified growing season dryness and increased area burned would substantially decrease forested area, transitioning the system from C sink to source. Our results demonstrate the potential for a lower CCC in the system due to extensive vegetation type conversion from forest to non-forest types, and suggest a decline in the contribution of Sierra Nevada forests to U.S. C sink.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sci Rep Year: 2017 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sci Rep Year: 2017 Document type: Article Affiliation country: Estados Unidos