Synergy between nutrients and warming enhances methane ebullition from experimental lakes
Lakes and ponds are important natural sources of the potent greenhouse gas methane (CH 4 ), with small shallow waters identified as particular hotspots 1 , 2 . Ebullition (bubbles) of CH 4 makes up a large proportion of total CH 4 flux 3 , 4 . However, difficulty measuring such episodic events 5 mak...
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Veröffentlicht in: | Nature climate change 2018-02, Vol.8 (2), p.156-160 |
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Zusammenfassung: | Lakes and ponds are important natural sources of the potent greenhouse gas methane (CH
4
), with small shallow waters identified as particular hotspots
1
,
2
. Ebullition (bubbles) of CH
4
makes up a large proportion of total CH
4
flux
3
,
4
. However, difficulty measuring such episodic events
5
makes prediction of how ebullition responds to nutrient enrichment and rising temperatures challenging. Here, the world’s longest running, mesocosm-based, shallow lake climate change experiment was used to investigate how the combination of warming and eutrophication (that is, nutrient enrichment) affects CH
4
ebullition. Eutrophication without heating increased the relative contribution of ebullition from 51% to 75%. More strikingly the combination of nutrient enrichment and experimental warming treatments of +2–3 °C and +4–5 °C had a synergistic effect, increasing mean annual ebullition by at least 1900 mg CH
4
-C m
−2
yr
−1
. In contrast, diffusive flux showed no response to eutrophication and only a small increase at higher temperatures (average 63 mg CH
4
–C m
−2
yr
−1
). As shallow lakes are the most common lake type globally, abundant in highly climate sensitive regions
6
and most vulnerable to eutrophication, these results suggest their current and future contributions to atmospheric CH
4
concentrations may be significantly underestimated.
The combination of nutrient enrichment and warming has a synergistic effect on rates of methane ebullition from experimental lakes. This suggests methane emissions from shallow lakes may be significantly underestimated. |
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ISSN: | 1758-678X 1758-6798 1758-6798 |
DOI: | 10.1038/s41558-017-0063-z |