DOI: 10.1002/2017JG004084
Scopus记录号: 2-s2.0-85044466160
论文题名: Model-Data Fusion to Test Hypothesized Drivers of Lake Carbon Cycling Reveals Importance of Physical Controls
作者: Hararuk O. ; Zwart J.A. ; Jones S.E. ; Prairie Y. ; Solomon C.T.
刊名: Journal of Geophysical Research: Biogeosciences
ISSN: 21698953
出版年: 2018
卷: 123, 期: 3 起始页码: 1130
结束页码: 1142
语种: 英语
英文关键词: Bayesian MCMC
; CO2
; data-model fusion
; DOC
; greenhouse gas
; lake carbon cycle model
Scopus关键词: Bayesian analysis
; carbon cycle
; carbon dioxide
; data assimilation
; density current
; dissolved organic carbon
; entrainment
; greenhouse gas
; hypothesis testing
; lake
; model
; organic matter
; photooxidation
; temperate environment
; vertical distribution
英文摘要: Formal integration of models and data to test hypotheses about the processes controlling carbon dynamics in lakes is rare, despite the importance of lakes in the carbon cycle. We built a suite of models (n = 102) representing different hypotheses about lake carbon processing, fit these models to data from a north-temperate lake using data assimilation, and identified which processes were essential for adequately describing the observations. The hypotheses that we tested concerned organic matter lability and its variability through time, temperature dependence of biological decay, photooxidation, microbial dynamics, and vertical transport of water via hypolimnetic entrainment and inflowing density currents. The data included epilimnetic and hypolimnetic CO2 and dissolved organic carbon, hydrologic fluxes, carbon loads, gross primary production, temperature, and light conditions at high frequency for one calibration and one validation year. The best models explained 76–81% and 64–67% of the variability in observed epilimnetic CO2 and dissolved organic carbon content in the validation data. Accurately describing C dynamics required accounting for hypolimnetic entrainment and inflowing density currents, in addition to accounting for biological transformations. In contrast, neither photooxidation nor variable organic matter lability improved model performance. The temperature dependence of biological decay (Q10) was estimated at 1.45, significantly lower than the commonly assumed Q10 of 2. By confronting multiple models of lake C dynamics with observations, we identified processes essential for describing C dynamics in a temperate lake at daily to annual scales, while also providing a methodological roadmap for using data assimilation to further improve understanding of lake C cycling. ©2018. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114366
Appears in Collections: 气候减缓与适应
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作者单位: Department of Natural Resource Sciences, McGill University, Montréal, QC, Canada; Cary Institute of Ecosystem Studies, Millbrook, NY, United States; Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, United States; Départment des sciences biologiques, Université du Québec à Montréal, Montréal, QC, Canada
Recommended Citation:
Hararuk O.,Zwart J.A.,Jones S.E.,et al. Model-Data Fusion to Test Hypothesized Drivers of Lake Carbon Cycling Reveals Importance of Physical Controls[J]. Journal of Geophysical Research: Biogeosciences,2018-01-01,123(3)