High-severity fire reduces early successional boreal larch forest aboveground productivity by shifting stand density in north-eastern China
Wen H. Cai A and Jian Yang A B C
+ Author Affiliations
- Author Affiliations
A Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, China.
B Department of Forestry, TP Cooper Building, University of Kentucky, Lexington, KY 40546, USA.
C Corresponding author. Email: jian.yang@uky.edu
International Journal of Wildland Fire 25(8) 861-875 https://doi.org/10.1071/WF15026
Submitted: 28 January 2015 Accepted: 7 June 2016 Published: 21 July 2016
Abstract
Climate warming is predicted to increase fire activity across the Eurasian boreal larch forest in the 21st century, which could have serious consequences on carbon storage. Quantifying the effects of fire disturbance on forest structure and aboveground net primary productivity (ANPP) could aid in our ability to predict future carbon storage on a regional and biome level. In this study, we examined the spatial heterogeneity of forest structure and ANPP on sites of varying fire severity and topographic position in a recently burned landscape in the Great Xing’an Mountains, China. Results indicated that after 11 years of vegetation regrowth, fire severity significantly affected forest regeneration ANPP. Spatial heterogeneities in forest regeneration ANPP were explained by both tree sapling density and understorey vegetation abundance. Although understorey vegetation productivity on average contributed 50% of total ANPP after fire, the increase in understorey productivity with fire severity could not offset the decrease in tree productivity in severely burned stands where tree sapling density was limited. Our results suggest that high-severity fire can decrease forest regeneration ANPP by altering forest structure in the early post-fire successional stage and that this shift in forest structure may influence future forest productivity trajectories over an extended period.
Additional keywords: carbon, fire disturbance, net primary production, structural equation model.
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