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Moderate drop in water table increases peatland vulnerability to post-fire regime shift
N Kettridge1, M R Turetsky2, J H Sherwood3
1School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
Northern peatlands, vital carbon stores, may lose carbon due to moderate drying and wildfire. A long-term experiment shows drying shifts vegetation, turning mossy peatlands into shrub-grass ecosystems prone to further carbon loss.
Area of Science:
- Ecology
- Environmental Science
- Climate Change Science
Background:
- Northern and tropical peatlands store significant global carbon reserves due to prolonged waterlogged conditions.
- Peatland carbon legacies are threatened by drainage, leading to burning and carbon loss, as seen in tropical regions.
- The impact of moderate drying on northern peatlands, compared to severe tropical drainage, remains unclear.
Purpose of the Study:
- To quantify the post-wildfire recovery of a northern peatland under decadal drainage.
- To assess if moderate drying in northern peatlands triggers vegetation shifts similar to those in disturbed tropical peatlands.
Main Methods:
- Utilizing a unique long-term experimental setup.
- Monitoring vegetation composition changes following wildfire in a drained northern peatland.
Main Results:
- Moderate drying, as predicted for northern regions, induced a vegetation shift comparable to severely drained tropical peatlands.
- The combination of moderate drainage and wildfire transformed the peatland from a moss-dominated, carbon-accumulating state to a shrub-grass ecosystem.
- This new ecosystem is characterized by low-intensity, high-frequency wildfires, further depleting stored peat carbon.
Conclusions:
- Moderate drying and subsequent wildfire can destabilize northern peatland carbon stores.
- The shift to a shrub-grass ecosystem creates a positive feedback loop, increasing future fire frequency and carbon loss.
- Northern peatlands face a significant risk of transitioning from carbon sinks to carbon sources under predicted climate change scenarios.
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