2018
DOI: 10.1021/acs.est.7b04979
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Changes in Methane Flux along a Permafrost Thaw Sequence on the Tibetan Plateau

Abstract: Permafrost thaw alters the physical and environmental conditions of soil and may thus cause a positive feedback to climate warming through increased methane emissions. However, the current knowledge of methane emissions following thermokarst development is primarily based on expanding lakes and wetlands, with upland thermokarst being studied less often. In this study, we monitored the methane emissions during the peak growing seasons of two consecutive years along a thaw sequence within a thermo-erosion gully … Show more

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Cited by 53 publications
(42 citation statements)
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References 58 publications
(113 reference statements)
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“…Local wetting trends including general increases in wetness in high latitudes (Zhang et al, ) can delay soil freezing (Hinkel et al, ), which our results suggest could increases the fall CH 4 emissions due to the higher rates of CH 4 efflux before the soil freezes. Recent studies in more upland thermokarst regions agree with our assumptions and data as well showing a 3.5 times higher rate of CH 4 efflux under thermokarst degradation leading to wetter ecosystems (Yang et al, ). Therefore, we suggest that understanding and predicting hydrological changes in the Arctic is of critical importance to forecast the future of carbon budgets and specifically the role CH 4 will play with changing climate.…”
Section: Discussionsupporting
confidence: 91%
“…Local wetting trends including general increases in wetness in high latitudes (Zhang et al, ) can delay soil freezing (Hinkel et al, ), which our results suggest could increases the fall CH 4 emissions due to the higher rates of CH 4 efflux before the soil freezes. Recent studies in more upland thermokarst regions agree with our assumptions and data as well showing a 3.5 times higher rate of CH 4 efflux under thermokarst degradation leading to wetter ecosystems (Yang et al, ). Therefore, we suggest that understanding and predicting hydrological changes in the Arctic is of critical importance to forecast the future of carbon budgets and specifically the role CH 4 will play with changing climate.…”
Section: Discussionsupporting
confidence: 91%
“…We chose our path analysis model based on our prior knowledge of how biophysical factors may affect GPP, R eco , and CH 4 fluxes (Gomez‐Casanovas et al, ; Lee et al, ; Reichstein et al, , ; Turetsky et al, ) and based on findings from the multiple regression analysis as described previously (Fan et al, ; Lee et al, ; Ouyang et al, ; Song et al, ; Yang et al, ). In our path analysis model, we considered temperature, water table, VPD, and PAR to be the primary factors driving GPP.…”
Section: Methodsmentioning
confidence: 99%
“…The soil C and N concentrations at a depth of 0–15 cm are 145.2 and 13.0 g kg −1 , respectively (Liu, Chen, Zhang, et al, ). The average active‐layer thickness in nonthermokarst areas is estimated at ~0.9 m. Thermokarst landscapes, that is, thermo‐erosion gullies, develop in this permafrost region, with the depth of the active layer within the gully exhibiting no significant difference from that of the nonthermokarst areas (Yang, Peng, Marushchak, et al, ; Yang, Peng, Olefeldt, et al, ).…”
Section: Methodsmentioning
confidence: 99%
“…One site in the undisturbed grassland without ground collapse, which was 5 m away from the gully, represented the control; the other three sites in the gully, with 50 to 90‐m interval between adjacent sites, referred to various permafrost thaw stages (Chen et al, ). The specific age of the selected site in the gully was obtained by dividing the distance between a specific site and the gully head by the extend speed, and the speed was acquired using Google Earth images (2007–2013) and repeated field surveys (2014–2016; Yang, Peng, Olefeldt, et al, ). Based on this calculation, the ages of these three sites in the gully were identified as 1, 10, and 16 years since collapse and were considered as the early, middle, and late thaw stages, respectively (Figure S1).…”
Section: Methodsmentioning
confidence: 99%