Abstract

A key uncertainty in quantifying dead wood carbon (C) stocks—which comprise ~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 ~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.

Tree mortality is increasing with climate change, which suggests that the biomass of dead wood is likely becoming more and more important to the global carbon cycle. Here, the authors perform a meta-analysis of the carbon content of dead wood and find that past estimates of total forest carbon were overestimated.

Details

Title
Carbon fractions in the world’s dead wood
Author
Martin, Adam R 1 ; Domke, Grant M 2   VIAFID ORCID Logo  ; Doraisami Mahendra 1 ; Thomas, Sean C 3 

 University of Toronto Scarborough, Department of Physical and Environmental Sciences, Scarborough, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938) 
 Northern Research Station, USDA Forest Service, St. Paul, USA (GRID:grid.497400.e) (ISNI:0000 0004 0612 8726) 
 University of Toronto, Institute of Forestry and Conservation, Daniels Faculty of Architecture, Landscape, and Design, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2487659440
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.