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中国西南地区晚二叠世泥炭地净初级生产力及其控制因素
引用本文:邵龙义,汪浩,LargeDJ.中国西南地区晚二叠世泥炭地净初级生产力及其控制因素[J].古地理学报,2011,13(5):473-480.
作者姓名:邵龙义  汪浩  LargeDJ
作者单位:1.中国矿业大学(北京)地球科学与测绘工程学院,北京100083;2.英国诺丁汉大学工程学院,NG72RD
基金项目:国家自然科学基金重点项目(编号:1030213); 国家科技重大专项(编号:2011ZX05009-002)联合资助
摘    要:米兰科维奇旋回理论是古环境研究中重要的时间“度量”工具.文中以贵州普安糯东17号煤层和云南富源天佑10号煤层为例,对晚二叠世煤层的地球物理测井信号进行频谱分析,以获得其中的米兰科维奇轨道周期参数.研究发现,测井信号所反映出的煤层灰分含量变化受泥炭地发育时期的米兰科维奇轨道周期(123 ka(偏心率):35.6 ka(斜...

关 键 词:米兰科维奇旋回  晚二叠世  泥炭地  碳聚集速率  净初级生产力
收稿时间:2011-05-15

Net primary productivity and its control of the Late Permian peatlands in southwestern China
Shao Longyi,Wang Hao,LargeDJ.Net primary productivity and its control of the Late Permian peatlands in southwestern China[J].Journal of Palaeogeography,2011,13(5):473-480.
Authors:Shao Longyi  Wang Hao  LargeDJ
Institution:1.School of Geoscience and Survey Engineering,China University of Mining and Technology(Beijing),Beijing 100083;2.Faculty of Engineering,University of Nottingham,UK,NG72RD
Abstract:Milankovitch theory is an important tool in constraining time in the palaeoenviorment analysis. In this study,the geophysical logs of the Late Permian No.17 Coal in Nuodong,Puan of Guizhou Province and No.10 Coal in Tianyou,Fuyuan of Yunnan Province are analyzed employing spectral analysis.The result shows that the mineral matter content(ash yield)of the coal was possibly influenced by 123ka(eccentricity),35.6 ka(obliquity)and 21.2 ka(precession)Milankovitch cycles.Using this timeframe,the Lopingian tropical peatland carbon accumulation rate is calculated to be 54.3~77.0 gC/(m2·a),which is expected to correspond to a NPP of 543~1540 gC/(m2·a). A comparison of NPP and temporal atmospheric composition among the Late Permian,Late Carboniferous and modern time indicates that the Late Permian NPP calculated is consistent with geochemical and palaeobotanical models,supporting a proposal that terrestrial productivity is mainly controlled by temporal atmospheric O2 and CO2 levels.
Keywords:Milankovitch cycle  Late Permian  peatland  carbon accumulation rate  net primary productivity(NPP)  
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