期刊
NATURE COMMUNICATIONS
卷 12, 期 1, 页码 -出版社
NATURE PORTFOLIO
DOI: 10.1038/s41467-021-21149-9
关键词
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资金
- Natural Science and Engineering Research Council of Canada
- University of Toronto Connaught New Researcher Award
- University of Toronto Scarborough International Research Collaboration Fund
- United States Department of Agriculture Forest Service Northern Research Station
- University of Toronto Scarborough Department of Physical and Environmental Sciences graduate research bursary
The study highlights the uncertainty in quantifying dead wood carbon pools globally due to a lack of accurate dead wood carbon fractions. By analyzing a global database, the study found that dead wood carbon fractions in trees average 48.5%, which deviates from the commonly used default value of 50%. Utilizing data-driven dead wood carbon fractions may help correct systematic overestimates in dead wood carbon stocks and provide more accurate global forest carbon estimation.
A key uncertainty in quantifying dead wood carbon (C) stocks-which comprise similar to 8% of total forest C pools globally-is a lack of accurate dead wood C fractions (CFs) that are employed to convert dead woody biomass into C. Most C estimation protocols utilize a default dead wood CF of 50%, but live tree studies suggest this value is an over-estimate. Here, we compile and analyze a global database of dead wood CFs in trees, showing that dead wood CFs average 48.5% across forests, deviating significantly from 50%, and varying systematically among biomes, taxonomic divisions, tissue types, and decay classes. Utilizing data-driven dead wood CFs in tropical forests alone may correct systematic overestimates in dead wood C stocks of similar to 3.0 Pg C: an estimate approaching nearly the entire dead wood C pool in the temperate forest biome. We provide for the first time, robust empirical dead wood CFs to inform global forest C estimation.
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