陆地生态系统碳—水耦合机制初探

陆地生态系统的碳循环和水循环是当前全球变化研究的热点。大量的研究已经表明两者之间具有密切的耦合作用。但是目前对于两者的耦合关系和耦合机制还缺乏系统的分析和总结。本文在综合相关研究的基础上,对陆地生态系统碳-水耦合的基本过程和基本作用机制作了概括。我们认为陆地生态系统碳-水耦合过程共包括土壤-植被节点、植被-大气节点(气孔节点)、土壤-大气节点和生化节点4个碳-水耦合节点。碳-水间的生化反应、气孔对光合-蒸腾的共同控制和优化调控作用、生态系统对碳、水循环的同向驱动机制分别是陆地生态系统碳-水耦合的生物化学、

生态系统水分利用效率研究进展

水分利用效率(WUE)是反映生态系统水碳循环相互关系的重要指标,开展生态系统水平WUE的时空变异性的研究有助于预测气候变化对生态系统水碳过程的影响。目前不同研究常常基于不同的算法估算生态系统WUE,一方面不同算法因包含了不同复杂程度的水过程而有着不同的内涵,另一方面各种算法又因包含了相同的核心过程而有着密切的联系。长期以来人们通过传统的生物量动态调查和生态系统水文过程的测定来估算生态系统的WUE,但该方法大大限制了在短时间尺度上对生态系统WUE进行分析,近年来发展起来的以涡度相关为代表的新技术的应用使得研

温带阔叶红松林生态系统潜热通量模拟:气孔导度组合模型在Shuttleworth-Wallace双源模型中的应用(英文)

叶片水平的气孔导度组合模型已被成功扩展到冠层水平,并被应用于冬小麦生态系统潜热通量的模拟研究,但该研究仅基于1a的数据,有必要研究模型在更长时间尺度和其它生态系统类型的适用性。以长白山阔叶红松林(CBS)为研究对象,将组合模型进一步应用于Shuttleworth-Wallace双源模型,模拟了CBS3a生长季内的潜热通量,利用涡度相关系统观测的潜热通量数据对模型进行验证,并对比了双源模型与单源模型的模拟结果。结果显示,双源模型较单源模型能取得更高的模拟精度,生长季不同时期的潜热通量模拟值和实测值的日变化较

NEE观测误差分布类型对陆地生态系统机理模型参数估计的影响:以长白山温带阔叶红松林为例

基于观测数据的陆地生态系统模型参数估计有助于提高模型的模拟和预测能力,降低模拟不确定性。在已有参数估计研究中,涡度相关技术测定的净生态系统碳交换量(NEE)数据的随机误差通常被假设为服从零均值的正态分布。然而近年来已有研究表明NEE数据的随机误差更服从双指数分布。为探讨NEE观测误差分布类型的不同选择对陆地生态系统机理模型参数估计以及碳通量模拟结果造成的差异,以长白山温带阔叶红松林为研究区域,采用马尔可夫链-蒙特卡罗方法,利用2003～2005年测定的NEE数据对陆地生态系统机理模型CEVSA2的敏感参数

太阳辐射对长白山阔叶红松林净生态系统碳交换的影响

太阳辐射是植物进行光合作用的前提条件,因此成为影响植被吸收大气CO2的重要环境因子。该研究基于30min通量和常规气象数据,以相对辐射和晴空指数为指标,分析了2003～2006年生长旺季(6～8月)太阳辐射的改变对长白山阔叶红松(Pinuskoraiensis)林净生态系统碳交换(Netecosystemexchange,NEE)的影响。结果表明:天空有一定云层的覆盖对阔叶红松林碳的净吸收有明显的促进作用。4年里6～8月间生态系统最大光合速率在天空有云覆盖时较晴空条件下分别提高了34%、25%、4%和11

Nitrogen-15 signals of leaf-litter-soil continuum as a possible indicator of ecosystem nitrogen saturation by forest succession and N loads

National Key Research and Development Program [2010CB833502]; National Natural Science Foundation of China [30600071, 40601097, 30590381]; Chinese Academy of Sciences [KZCX2-YW-432, O7V70080SZ, LENOM07LS-01]; GUCAS [O85101PM03]

CO2 Flux Estimation by Different Regression Methods from an Alpine Meadow on the Qinghai-Tibetan Plateau

National Key Research and Development Program [2010CB833500]; National Natural Science Foundation of China [30590381]; Chinese Academy of Sciences [KZCX2-YW-432]

Estimation and Spatiotemporal Analysis of Methane Emissions from Agriculture in China

National Natural Science Foundation of China [30721140307, 30590380]; Chinese Academy of Sciences (CAS) [KZCX2-YW-432]

Short-term effect of increasing nitrogen deposition on CO2, CH4 and N2O fluxes in an alpine meadow on the Qinghai-Tibetan Plateau, China

National Key Research and Development Program [2010CB833500]; Natural Science Foundation of China [30590381]; Knowledge Innovation Project of Chinese Academy of Sciences [KZCX2-YW-432]

Effects of multiple environmental factors on CO2 emission and CH4 uptake from old-growth forest soils

National Key Research and Development Program [2010CB833502]; National Natural Science Foundation of China [30600071, 40601097, 30590381, 30721140307]; Knowledge Innovation Project of the Chinese Academy of Sciences [KZCX2-YW-432, O7V70080SZ, LENOM07LS-01

Temperature sensitivity of soil respiration is affected by prevailing climatic conditions and soil organic carbon content: A trans-China based case study

National Natural Science Foundation of China [30590381]; Knowledge Innovation Program of the Chinese Academy of Sciences [KZCX2YW-432]; International Partnership Project

Environmental controls over carbon exchange of three forest ecosystems in eastern China

National Natural Science Foundation of China [30590381, 30670384]; Knowledge Innovation Project of the Chinese Academy of Sciences [KZCX2-YW-432]; National Key Research and Development Program [2002CB412501]; 'Hundred Talents' Program of the Chinese Acade

Drivers of soil net nitrogen mineralization in the temperate grasslands in Inner Mongolia, China

Soil net nitrogen mineralization (NNM) of four grasslands across the elevation and precipitation gradients was studied in situ in the upper 0-10 cm soil layer using the resin-core technique in Xilin River basin, Inner Mongolia, China during the growing season of 2006. The primary objectives were to examine variations of NNM among grassland types and the main influencing factors. These grasslands included Stipa baicalensis (SB), Aneulolepidum Chinense (AC), Stipa grandis (SG), and Stipa krylovii (SK) grassland. The results showed that the seasonal variation patterns of NNM were similar among the four grasslands, the rates of NNM and nitrification were highest from June to August, and lowest in September and October during the growing season. The rates of NNM and nitrification were affected significantly by the incubation time, and they were positively correlated with soil organic carbon content, total soil nitrogen (TN) content, soil temperature, and soil water content, but the rates of NNM and nitrification were negatively correlated with available N, and weakly correlated with soil pH and C:N ratio. The sequences of the daily mean rates of NNM and nitrification in the four grasslands during the growing season were AC > SG > SB > SK, and TN content maybe the main affecting factors which can be attributed to the land use type.

N2O fluxes from the native and grazed semi-arid steppes and their driving factors in Inner Mongolia, China

This paper presents results of 2 years (from January 2005 to December 2006) of measurement of N2O fluxes from the native and grazed Leymus chinensis (LC) steppes in Inner Mongolia, China using the static opaque chamber method. The measurement was at a frequency of twice per month in the growing season and once per month in the non-growing season. In addition, the possible effect of water-heat factors on N2O fluxes was statistically analyzed. The results indicated that there were distinct seasonal patterns in N2O fluxes with large fluxes in spring, summer, and autumn but negative fluxes in winter. The annual net emission of N2O ranging from 0.24 to 0.30 kg N2O-N ha(-1) and from 0.06 to 0.26 kg N2O-N ha(-1) from the native and grazed LC steppe, respectively. Grazing activities suppressed N2O production. In the growing season, soil moisture was the primary driving factor of N2O fluxes. The high seasonal variation of N2O fluxes was regulated by the distribution of effective rainfall, rather than precipitation intensity. Air temperature or soil temperature at 0, 5, and 10 cm depth was the most restricting factor of N2O fluxes in the non-growing season.