Literature DB >> 31455173

Resilience of lake biogeochemistry to boreal-forest wildfires during the late Holocene.

Melissa L Chipman1, Feng Sheng Hu2,3,4.   

Abstract

Novel fire regimes are expected in many boreal regions, and it is unclear how biogeochemical cycles will respond. We leverage fire and vegetation records from a highly flammable ecoregion in Alaska and present new lake-sediment analyses to examine biogeochemical responses to fire over the past 5300 years. No significant difference exists in δ13C, %C, %N, C : N, or magnetic susceptibility between pre-fire, post-fire, and fire samples. However, δ15N is related to the timing relative to fire (χ2 = 19.73, p < 0.0001), with higher values for fire-decade samples (3.2 ± 0.3‰) than pre-fire (2.4 ± 0.2‰) and post-fire (2.2 ± 0.1‰) samples. Sediment δ15N increased gradually from 1.8 ± 0.6 to 3.2 ± 0.2‰ over the late Holocene, probably as a result of terrestrial-ecosystem development. Elevated δ15N in fire decades likely reflects enhanced terrestrial nitrification and/or deeper permafrost thaw depths immediately following fire. Similar δ15N values before and after fire decades suggest that N cycling in this lowland-boreal watershed was resilient to fire disturbance. However, this resilience may diminish as boreal ecosystems approach climate-driven thresholds of vegetation structure, permafrost thaw and fire.

Entities:  

Keywords:  C : N; boreal fires; carbon; ecological resilience; nitrogen; δ13C; δ15N

Mesh:

Year:  2019        PMID: 31455173      PMCID: PMC6731474          DOI: 10.1098/rsbl.2019.0390

Source DB:  PubMed          Journal:  Biol Lett        ISSN: 1744-9561            Impact factor:   3.703


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6.  Resilience of lake biogeochemistry to boreal-forest wildfires during the late Holocene.

Authors:  Melissa L Chipman; Feng Sheng Hu
Journal:  Biol Lett       Date:  2019-08-28       Impact factor: 3.703

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  2 in total

1.  Resilience of lake biogeochemistry to boreal-forest wildfires during the late Holocene.

Authors:  Melissa L Chipman; Feng Sheng Hu
Journal:  Biol Lett       Date:  2019-08-28       Impact factor: 3.703

2.  Special feature: measuring components of ecological resilience in long-term ecological datasets.

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