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Precipitation and temperature regulate the carbon allocation process in alpine wetlands: quantitative simulation  ( SCI-EXPANDED收录)   被引量:17

文献类型:期刊文献

英文题名:Precipitation and temperature regulate the carbon allocation process in alpine wetlands: quantitative simulation

作者:Kang, Xiaoming[1,2,3] Li, Yong[1,2,3] Wang, Jinzhi[1,2,3] Yan, Liang[1,2,3] Zhang, Xiaodong[1,2,3] Wu, Haidong[1,2,3] Yan, Zhongqing[1,2,3] Zhang, Kerou[1,2,3] Hao, Yanbin[4,5]

第一作者:Kang, Xiaoming;康晓明

通信作者:Hao, YB[1];Hao, YB[2]

机构:[1]Chinese Acad Forestry, Inst Wetland Res, Beijing 100091, Peoples R China;[2]Beijing Key Lab Wetland Serv & Restorat, Beijing 100091, Peoples R China;[3]Sichuan Zoige Wetland Ecosyst Res Stn, Tibetan Autonomous Prefe 624500, Peoples R China;[4]Univ Chinese Acad Sci, Beijing 100049, Peoples R China;[5]Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China

年份:2020

卷号:20

期号:9

起止页码:3300-3315

外文期刊名:JOURNAL OF SOILS AND SEDIMENTS

收录:;Scopus(收录号:2-s2.0-85084806387);WOS:【SCI-EXPANDED(收录号:WOS:000533188300001)】;

基金:The study was funded by the project of the National Nonprofit Institute Research (Grant No. CAFYBB2017QB009), the National Key Research and Development Program of China (Grant No. 2016YFC0501804), and the National Natural Science Foundation of China (Grant Nos. 41701113, 41877421, 31770511).

语种:英文

外文关键词:Carbon allocation; Carbon budgets; DNDC model; Qinghai-Tibetan Plateau; Wetlands

摘要:Purpose The quantitative study for the allocation of photosynthetically fixed carbon to plant tissues, soil, and respiratory losses is essential for understanding the key process of carbon (C) cycle. In this study, the measured C flux data was used to validate a process-based denitrification-decomposition (DNDC) model, and the C budget components were simulated and quantitatively separated in the Qinghai-Tibet Plateau alpine wetland ecosystem. Materials and methods The field observation and 50-year climate data in this site were used as input to simulate soil environment change, plant growth, and C allocation for DNDC. The local parameterization, optimization, calibration, and evaluation of the process-based DNDC model were conducted to improve the simulation accuracy of the model and to separate the C budget components of the Zoige alpine wetland ecosystem on the basis of measured C flux data. Results and discussion The results show that the modeled and measured values have good consistency on multiple time scales, and the system shows obvious C sink (- 169.16 g C m(-2) yr(-1)). The plant net primary productivity (NPP) accounted for 53% of gross primary productivity (GPP); the plant autotrophic respiration (R-a) accounts for 61% of ecosystem respiration (R-e); and the soil heterotrophic respiration (R-h) accounts for 51% of soil respiration (R-s). Vegetation has the strongest photosynthesis and net C sequestration capacity during the peak growth stage, while the system appears as a C source in the senescence stage. Moreover, R-a dominated during the first four periods of plant growth, while R-h was dominant in the plant senescence stage. There was a negative correlation between environmental factors and NEE and a significant positive relationship with other C budget variables (P < 0.001). Precipitation and temperature regulate the C budgets and C distribution. When soil temperature and monthly precipitation exceeded 7 degrees C and 18 mm mon(-1), the ecosystem switched from C source to C sink. Conclusions The optimized DNDC model can capture the dynamics of C budget in Zoige alpine wetland, and there are large differences in the function of C source and sink, C allocation, and relative contribution during different plant growth stages. Our work will provide support to predict the changes in C cycle components at regional scales in future climate change scenarios and to formulate measures to mitigate greenhouse effects.

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