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  2. 地质与地球物理研究所
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  4. 中国科学院新生代地质与环境重点实验室
Simulation of dissolved organic carbon concentrations and fluxes in Chinese monsoon forest ecosystems using a modified TRIPLEX-DOC model

文献类型：期刊论文

作者Shi, Shengwei8,9,10; Yang, Mingxia8; Hou, Yue8; Peng, Changhui7,10; Wu, Haibin1,5,6; Zhu, Qiuan4; Liang, Qiong9; Xie, Junfei3; Wang, Meng2
刊名SCIENCE OF THE TOTAL ENVIRONMENT
出版日期2019-12-20
卷号697页码:15
关键词Forest carbon cycle Leaching Soil organic carbon TRIPLEX-DOC model DOC fluxes Precipitation
ISSN号0048-9697
DOI10.1016/j.scitotenv.2019.134054
英文摘要Dissolved organic carbon (DOC) plays an important role in global and regional carbon cycles. However, the quantification of DOC in forest ecosystems remains uncertain. Here, the processed-based biogeochemical model TRIPLEX-DOCwas modified by optimizing the function of soil organic carbon distribution with increasing depths, as well as DOC sorption-desorption efficiency. The model was validated by field measurements of DOC concentration and flux at five forest sites and Beijiang River basin in monsoon regions of China. Model validation indicated that seasonal patterns of DOC concentration across climatic zones were different, and these differences were captured by our model. Importantly, the modified model performed better than the original model. Indeed, model efficiency of the modified model increased from -0.78 to 0.19 for O horizon predictions, and from -0.46 to 0.42 for the mineral soils predictions. Likewise, DOC fluxes were better simulated by the modified model. At the site scale, the simulated DOC fluxes were strongly correlated with the observed values (R-2 = 0.97, EF = .91). At the regional scale, the DOC flux predicted in the Beijiang River basin was 16.44 kg C/ha, whichwas close to the observed value of 17 kg C/ha. Using sensitivity analysis, we showed that temperature, precipitation and temperature sensitivity of DOC decomposition (Q(10)) were the most sensitive parameters when predicting DOC concentrations and fluxes in forest soils. We also found that both the percentage of DOC flux to forest net ecosystem productivity, and the retention of DOC by mineral soil were highly correlated with the amount of precipitation. Overall, our model validations indicated that the modified TRIPLEX-DOC model is a useful tool for simulating the dynamics of DOC concentrations and fluxes in forest ecosystems. We highlight that more accurate estimates of parameter Q(10) in deep mineral soils can reduce model uncertainty, when simulating DOC concentrations and fluxes in forest soils. (C) 2019 Elsevier B.V. All rights reserved.
WOS关键词PROCESS-ORIENTED MODEL ; SUBTROPICAL FOREST ; TEMPERATURE SENSITIVITY ; SOIL SOLUTION ; CUNNINGHAMIA-LANCEOLATA ; SEQUESTRATION CAPACITY ; ASSESSING PRODUCTIVITY ; CLIMATE-CHANGE ; NO EMISSIONS ; CLOUD FOREST
资助项目National Science Foundation of China[41401277] ; National Science Foundation of China[41601312] ; National Science Foundation of China[41601098] ; National Key Research and Development Program of China[2016YFC0500203]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000499668600079
出版者ELSEVIER
资助机构National Science Foundation of China ; National Science Foundation of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Science Foundation of China ; National Science Foundation of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Science Foundation of China ; National Science Foundation of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Science Foundation of China ; National Science Foundation of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China
源URL[http://ir.iggcas.ac.cn/handle/132A11/95791]  
专题地质与地球物理研究所_中国科学院新生代地质与环境重点实验室
通讯作者Peng, Changhui
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Northeast Normal Univ, State Environm Protect Key Lab Wetland Ecol & Veg, Changchun 130024, Jilin, Peoples R China
3.Beijing Inst Landscape Architecture, Beijing 100102, Peoples R China
4.Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Jiangsu, Peoples R China
5.CAS Ctr Excellence Life & Paleoenvironm, Beijing 100044, Peoples R China
6.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Cenozo Geol & Environm, Beijing 100029, Peoples R China
7.Univ Quebec Montreal, Dept Biol Sci, Ctr CEF ESCER, Montreal, PQ H3C 3P8, Canada
8.Northwest A&F Univ, Coll Forestry, Ctr Ecol Forecasting & Global Change, Yangling 712100, Shaanxi, Peoples R China
9.Beijing Univ Agr, Beijing 102206, Peoples R China
10.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714		 Shi, Shengwei,Yang, Mingxia,Hou, Yue,et al. Simulation of dissolved organic carbon concentrations and fluxes in Chinese monsoon forest ecosystems using a modified TRIPLEX-DOC model[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2019,697:15.
APA Shi, Shengwei.,Yang, Mingxia.,Hou, Yue.,Peng, Changhui.,Wu, Haibin.,...&Wang, Meng.(2019).Simulation of dissolved organic carbon concentrations and fluxes in Chinese monsoon forest ecosystems using a modified TRIPLEX-DOC model.SCIENCE OF THE TOTAL ENVIRONMENT,697,15.
MLA Shi, Shengwei,et al."Simulation of dissolved organic carbon concentrations and fluxes in Chinese monsoon forest ecosystems using a modified TRIPLEX-DOC model".SCIENCE OF THE TOTAL ENVIRONMENT 697(2019):15.

入库方式： OAI收割

来源：地质与地球物理研究所

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