Quantifying the Effects Sizes of Common Controls on Methane Emissions From an Ombrotrophic Peat Bog

Author:

Taylor M. A.1ORCID,Bradford M. A.2ORCID,Arnold W.3ORCID,Takahashi D.2,Colgan T.4,Davis V.2,Losos D.2,Peccia J.3ORCID,Raymond P. A.2ORCID

Affiliation:

1. Rubenstein School of the Environment and Natural Resources Burlington VT USA

2. Yale School of the Environment Yale University New Haven CT USA

3. Department of Chemical and Environmental Engineering School of Engineering and Applied Science Yale University New Haven CT USA

4. Wagner Forest Management Lyme NH USA

Abstract

AbstractNorthern wetlands and bogs are a large source of biogenic methane (CH4) to the atmosphere and shape climate. There is then substantial interest in quantifying the effect sizes of controls on bog CH4 emissions. Yet quantification is complicated because wetland emissions are, like the controls that regulate them, spatially and temporarily heterogeneous within individual wetland systems. To account for this heterogeneity, we established 55 measurement plots in a sampling design that had extensive spatial, and repeated temporal, coverage over one ombrotrophic bog. This coverage allowed us to robustly estimate the effect sizes of known environmental controls on CH4 emissions such as temperature, water table depth (WTD), and plant functional composition. As expected, 89% of the cumulative measured flux came from 16% of the plots, with consistently high CH4 emissions over two consecutive growing seasons. Soil temperature exhibited the strongest control on emissions, while WTD and vegetation composition had much smaller relative effects compared to temperature. Interestingly, at high temperatures, WTD was a strong determinant of whether a plot had high versus lower emissions. Despite temperature's large effect size, the controls we measured only explained ∼29% of the variance in CH4 fluxes. Overall, our data confirm observations from other wetlands that CH4 emissions are highly variable at local scales, and yet our data also reveal that effect sizes can be quantified robustly within this heterogeneity. Highly‐replicated, local designs may therefore be useful for generating data that can serve to help refine wetland CH4 emissions uncertainties.

Funder

Yale University

Publisher

American Geophysical Union (AGU)

Subject

Paleontology,Atmospheric Science,Soil Science,Water Science and Technology,Ecology,Aquatic Science,Forestry

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