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High variability in GHG emissions from Arctic ponds, explained by erosional activity and pond morphology

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High variability in GHG emissions from Arctic ponds, explained by erosional activity and pond morphology

Vilmantas Prėskienis

1,2

, Isabelle Laurion

1,2

, Daniel Fortier

2,3

, Frédéric Bouchard

1,2

1

INRS, Centre Eau Terre Environnement,

2

Centre d‘Études Nordiques,

3

Université de Montréal, Département de géographie

Rationale

With ongoing climate change, longer summer and increased

annual precipitations are expected over Arctic regions

1

. These

conditions are favourable for intensive and extensive permafrost

thaw, mobilising organic matter and intensifying its transfer to

aquatic ecosystems, with the potential to act as a positive

feedback to climate warming

2

. These systems are abundant over

Arctic lowlands and are hot-spots of microbial activity. The

micro-topography of Arctic polygonal landscapes produces ponds with

different morphology and intensity of shore erosion. My PhD

project aims to relate these characteristics to present and future

GHG emissions from such systems.

Study site

• Bylot Island CEN station (73°09’N, 79°59’W), Sirmilik National

Park, Nunavut, CANADA

• Valley covered by organic-rich (15-45%) Holocene deposits

comprised of peat and aeolian silt, region of deep continuous

cold permafrost

• Dense ice-wedge network and snowmelt water shape the

landscape, composed of dry tundra patches and shallow aquatic

ecosystems (~6% of the valley bottom)

• Water bodies deeper than ~2 m present taliks, while shallower

ponds freeze to bottom for approximately ¾ of the year

2 – 3 m

1 m

0.7 m

20 – 30 m

C

– stable shores

D – fully mixed ponds (including

polygonal and coalesced ponds)

Pond types

A,B,C - stratified ice-wedge trough ponds

Ice wedge

A

– actively eroding shores

B

– partially stabilised shores

D

– fully mixed ponds

Effect of thermal stratification on GHG storage

Ponds that are stratified and receive inputs of eroded terrestrial (allochthonous) matter (groups A & B) tend to accumulate more CH4 and CO2 during the thaw season. Stratification allows the accumulation of dissolved gases in bottom waters that rarely mix with the surface, while the higher influx of terrestrial matter (associated to the hypoxia/anoxia generated) induce intensive methanogenesis, despite of low sediment temperature of trough ponds, in close contact to ice wedges.

Influx

of

allochthonous

matter

Primary

prod

uction

What else is done in this PhD project?

• High precision mapping of pond bathymetry and shore erosion. • Water sampling for concentrations of C, P, N and other elements. • Dissolved oxygen and temperature profiles.

• Incubation experiments of the different pools of organic matter found at this study site, to assess the lability of permafrost peat, active layer peat and

pond/lake sediments, where DOM properties, respiration rates (oxygen loss and DIC production), and bacterial production

are followed over 30 days.

Surface dissolved GHG concentrations and CH

4

ebullition flux for the 4 pond types

• On average, both well-mixed ponds (group D) and stratified ponds with stable shores (group C) remain understaturated with CO2 (i.e., close to or below the red line, indicating the equilibrium with the atmosphere), while groups A and B show high levels of CO2 supersaturation, and thus represent a carbon source to the atmosphere.

• All studied ponds are sources of CH4 to the atmosphere (all supersaturated; by up to 11 times), while those with higher level of erosion (group A) tend to emit more through ebullition. Ebullition flux is also high for fully-mixed ponds (group D), possibly linked to the high primary production of these ponds that fuels methanogenesis.

Do erosion indices correlate with GHG emissions and limnological properties?

Presenter

Vilmantas Prėskienis

vilmantas.preskienis@ete.inrs.ca

PCSP

A. Veillette, T. Pacoureau, F. Mazoyer, M. Rautio, M. Trembley, Y. Seyer, S. Coulombe, I. de Grandpré, C. Gobeil, D. Belanger,

G. Gauthier and Bylot camp team

0 2 4 6 8 0,0 0,1 0,2 0,3 0,4 0,5 Tot al CH4 f lu x (m m ol m -2 d -1)

Soil flux into pond per pond volume (m3 yr-1 m-3)

r = 0.70 p = 0.005 0 4 8 12 16 0,0 0,1 0,2 0,3 0,4 0,5 TSS (m g L -1)

Soil flux into pond per pond volume (m3 yr-1 m-3)

r = 0.53

p = 0.052

Acknowledgements:

• Using high precision GNSS mapping and ArcMap, erosion indices were calculated for 14 ponds to quantify the soil-water contact level.

• GHG fluxes correlate well with the soil flux per year normalized to the pond volume. The a320 absorption coefficient (amount of CDOM) and total suspended solids (TSS) also correlate with this erosion index, illustrating the flux of colored DOM and sestonic particles caused by erosion.

• GHG and limnological properties also correlate (R = 0.70, 0.55, 0.40, and 0.45, respectively) with the proportion of exposed shore (not vegetated and prone to erosion and direct leaching).

• DOC concentration shows low correlation with GHG and erosion indices, while the chromophoric fraction of DOM (e.g., SUVA and absorption coefficient) correlates well with GHG emissions, and thus could be used as a proxy.

0 20 40 60 0,0 0,1 0,2 0,3 0,4 0,5 a32 0 (m -1)

Soil flux into pond per pond volume (m3 yr-1 m-3)

r = 0.60 p = 0.023 -10 0 10 20 30 0,0 0,1 0,2 0,3 0,4 0,5 Tot al C O2 f lu x (m m ol m -2 d -1)

Soil flux into pond per pond volume (m3 yr-1 m-3)

r = 0.88

p < 0.001

Pond sediment coring Water sampling and

diffusive flux measurements

50 m

Study site with glaciofluvial outwash, ice-wedge polygon terrace, and lakes

Abundant tundra ponds on the ice-wedge polygon terrace

Mapping erosional activity

Permafrost coring

GNSS mapping

Bubble traps for ebullition flux

References: 1 IPCC 2017

2 Schuur et al. 2015, Nature

Take home message:

1. Ice-wedge trough ponds with

actively eroding shorelines are the

largest sources of GHG in tundra

landscapes

2. Stratification is an important

feature to take into account when

sampling GHG for flux estimation,

even for shallow ponds of only a

few m

2

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