气候变化领域集成服务门户(CCPortal): Large carbon cycle sensitivities to climate across a permafrost thaw gradient in subarctic Sweden

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DOI	10.5194/tc-13-647-2019
	Large carbon cycle sensitivities to climate across a permafrost thaw gradient in subarctic Sweden
	Chang K.-Y.; Riley W.J.; Crill P.M.; Grant R.F.; Rich V.I.; Saleska S.R.
发表日期	2019
ISSN	19940416
EISSN	13
起始页码	647
结束页码	663
卷号	13 期号:2
英文摘要	Permafrost peatlands store large amounts of carbon potentially vulnerable to decomposition. However, the fate of that carbon in a changing climate remains uncertain in models due to complex interactions among hydrological, biogeochemical, microbial, and plant processes. In this study, we estimated effects of climate forcing biases present in global climate reanalysis products on carbon cycle predictions at a thawing permafrost peatland in subarctic Sweden. The analysis was conducted with a comprehensive biogeochemical model (ecosys) across a permafrost thaw gradient encompassing intact permafrost palsa with an ice core and a shallow active layer, partly thawed bog with a deeper active layer and a variable water table, and fen with a water table close to the surface, each with distinct vegetation and microbiota. Using in situ observations to correct local cold and wet biases found in the Global Soil Wetness Project Phase 3 (GSWP3) climate reanalysis forcing, we demonstrate good model performance by comparing predicted and observed carbon dioxide (CO 2 ) and methane (CH 4 ) exchanges, thaw depth, and water table depth. The simulations driven by the bias-corrected climate suggest that the three peatland types currently accumulate carbon from the atmosphere, although the bog and fen sites can have annual positive radiative forcing impacts due to their higher CH 4 emissions. Our simulations indicate that projected precipitation increases could accelerate CH 4 emissions from the palsa area, even without further degradation of palsa permafrost. The GSWP3 cold and wet biases for this site significantly alter simulation results and lead to erroneous active layer depth (ALD) and carbon budget estimates. Biases in simulated CO 2 and CH 4 exchanges from biased climate forcing are as large as those among the thaw stages themselves at a landscape scale across the examined permafrost thaw gradient. Future studies should thus not only focus on changes in carbon budget associated with morphological changes in thawing permafrost, but also recognize the effects of climate forcing uncertainty on carbon cycling. © Author(s) 2019.
学科领域	active layer; biogeochemistry; carbon cycle; climate change; climate forcing; climate modeling; environmental gradient; ice core; in situ measurement; methane; palsa; peatland; permafrost; prediction; sensitivity analysis; subarctic region; thawing; Sweden
语种	英语
scopus关键词	active layer; biogeochemistry; carbon cycle; climate change; climate forcing; climate modeling; environmental gradient; ice core; in situ measurement; methane; palsa; peatland; permafrost; prediction; sensitivity analysis; subarctic region; thawing; Sweden
来源期刊	The Cryosphere
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/118923
作者单位	Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Department of Geological Sciences, Stockholm University, Stockholm, Sweden; Department of Renewable Resources, University of Alberta, Edmonton, AB, Canada; Department of Microbiology, Ohio State University, Columbus, OH, United States; Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, United States
推荐引用方式 GB/T 7714	Chang K.-Y.,Riley W.J.,Crill P.M.,et al. Large carbon cycle sensitivities to climate across a permafrost thaw gradient in subarctic Sweden[J],2019,13(2).
APA	Chang K.-Y.,Riley W.J.,Crill P.M.,Grant R.F.,Rich V.I.,&Saleska S.R..(2019).Large carbon cycle sensitivities to climate across a permafrost thaw gradient in subarctic Sweden.The Cryosphere,13(2).
MLA	Chang K.-Y.,et al."Large carbon cycle sensitivities to climate across a permafrost thaw gradient in subarctic Sweden".The Cryosphere 13.2(2019).