Fire-regime variability impacts forest carbon dynamics for centuries to millennia

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26 Scopus citations

Abstract

Wildfire is a dominant disturbance agent in forest ecosystems, shaping important biogeochemical processes including net carbon (C) balance. Long-term monitoring and chronosequence studies highlight a resilience of biogeochemical properties to large, stand-replacing, high-severity fire events. In contrast, the consequences of repeated fires or temporal variability in a fire regime (e.g., the characteristic timing or severity of fire) are largely unknown, yet theory suggests that such variability could strongly influence forest C trajectories (i.e., future states or directions) for millennia. Here we combine a 4500-year paleoecological record of fire activity with ecosystem modeling to investigate how fire-regime variability impacts soil C and net ecosystem carbon balance. We found that C trajectories in a paleo-informed scenario differed significantly from an equilibrium scenario (with a constant fire return interval), largely due to variability in the timing and severity of past fires. Paleo-informed scenarios contained multi-century periods of positive and negative net ecosystem C balance, with magnitudes significantly larger than observed under the equilibrium scenario. Further, this variability created legacies in soil C trajectories that lasted for millennia. Our results imply that fire-regime variability is a major driver of C trajectories in stand-replacing fire regimes. Predicting carbon balance in these systems, therefore, will depend strongly on the ability of ecosystem models to represent a realistic range of fire-regime variability over the past several centuries to millennia.

Original languageEnglish
Pages (from-to)3873-3882
Number of pages10
JournalBiogeosciences
Volume14
Issue number17
DOIs
StatePublished - Aug 31 2017

Funding

Acknowledgements. We thank K. McLauchlan and B. Shuman for valuable discussions on these topics. Tara W. Hudiburg was supported by the NSF Idaho EPSCoR Program and by the National Science Foundation under award number IIA-1301792. Philip E. Higuera was supported by the National Science Foundation under award numbers IIA-0966472 and EF-1241846, and JAH was supported by the Agriculture and Food Research Initiative of the USDA National Institute of Food and Agriculture (Grant 2013-67003-20652) and the National Science Foundation under award number DMS-1520873. The authors declare no competing financial conflicts of interests or other affiliations with conflicts of interest with respect to the results of the paper.

Funder number
1606351, IIA-1301792, 1655121, IIA-0966472, 0966472, 1301792, 1241846, 1655183, EF-1241846
2013-67003-20652, 1520873

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