Knowledge of seasonal variation of net ecosystem CO2 exchange (NEE) and its biotic and abiotic controllers will further our understanding of carbon cycling process, mechanism and large-scale modelling. Eddy covariance...Knowledge of seasonal variation of net ecosystem CO2 exchange (NEE) and its biotic and abiotic controllers will further our understanding of carbon cycling process, mechanism and large-scale modelling. Eddy covariance technique was used to measure NEE, biotic and abiotic factors for nearly 3 years in the hinterland alpine steppe--Korbresia meadow grassland on the Tibetan Plateau, the present highest fluxnet station in the world. The main objectives are to investigate dynamics of NEE and its components and to determine the major controlling factors. Maximum carbon assimilation took place in August and maximum carbon loss occurred in November. In June, rainfall amount due to monsoon climate played a great role in grass greening and consequently influenced interannual variation of ecosystem carbon gain. From July through September, monthly NEE presented net carbon assimilation. In other months, ecosystem exhibited carbon loss. In growing season, daytime NEE was mainly controlled by photosynthetically active radiation (PAR). In addition, leaf area index (LAI) interacted with PAR and together modulated NEE rates. Ecosystem respiration was controlled mainly by soil temperature and simultaneously by soil moisture. Q10 was negatively correlated with soil temperature but positively correlated with soil moisture. Large daily range of air temperature is not necessary to enhance carbon gain. Standard respiration rate at referenced 10℃(R10) was positively correlated with soil moisture, soil temperature, LAI and aboveground biomass. Rainfall patterns in growing season markedly influenced soil moisture and therefore soil moisture controlled seasonal change of ecosystem respiration. Pulse rainfall in the beginning and at the end of growing season induced great ecosystem respiration and consequently a great amount of carbon was lost. Short growing season and relative low temperature restrained alpine grass vegetation development. The results suggested that LAI be usually in a low level and carbon uptake be relatively low. Rainf展开更多
Terrestrial carbon cycling is one of the hotspots in global change issues. In this paper, we presented the ra-tionale for determination of net exchange of CO2 between terrestrial and the atmosphere (NEE) and the metho...Terrestrial carbon cycling is one of the hotspots in global change issues. In this paper, we presented the ra-tionale for determination of net exchange of CO2 between terrestrial and the atmosphere (NEE) and the methods for measuring several relevant components. Three key processes for determination of NEE were addressed, including the separation of shoot autotrophic respiration from total CO2 emissions of the ecosystem, the partition of root respiration from soil CO2 efflux, and the quantification of rhizodeposi-tion C from NPP. With an understanding of the processes involved in the CO2 exchange between terrestrial and the atmosphere, we estimated NEE of rice ecosystem in Nanjing based on field measurements of CO2 emissions and several relevant biotic components as well as abiotic factors. The field measurements of CO2 emissions were made over the rice-growing seasons in 2001 and 2002 with the static opaque chamber method. Calculations indicated that the seasonal pattern of NEE is comparable for two seasons. Either net carbon emission or fractional carbon fixation occurred dur-ing 3 weeks after rice transplanting and thereafter net car-bon fixation appeared with an increasing trend as rice grow-ing. Higher net carbon fixation occurred in the rice devel-opmental period from elongating to heading. A decline trend in the fixation was documented after rice heading. The mean daily NEE was -6.06 gC·m-2 in 2001 season and -7.95 gC·m-2 in 2002 season, respectively. These values were comparable to the results obtained by Campbell et al. who made field measurements with the Bowen ratio-energy bal-ance technique in irrigated rice, Texas USA. Moreover, the mean daily NEE in this study was also comparable to the values obtained from a Japanese rice paddy with the eddy covariance method under the similar water regime, either drainage course or waterlogged. It is concluded that NEE determined by the static opaque chamber method is compa-rable and in agreement with those measured by Bowen ratio- energy balance and eddy covari展开更多
Xinjiang is the largest semi-arid and arid region in China, and drip irrigation under plastic mulch is widely used in this water-limited area. Quantifying carbon and water fluxes as well as investigating their environ...Xinjiang is the largest semi-arid and arid region in China, and drip irrigation under plastic mulch is widely used in this water-limited area. Quantifying carbon and water fluxes as well as investigating their environ- mental drivers over cotton fields is critical for understanding regional carbon and water budgets in Xinjiang, the largest cotton production basin of China. In this study, an eddy covariance （EC） technique was used to measure the carbon and water fluxes of cotton field under drip irrigation with plastic mulch in the growing seasons of 2009, 2010, 2012 and 2013 at Wulanwusu Agrometeorological Experiment Station, a representative oasis cropland in northern Xinjiang. The diurnal patterns of gross primary production （GPP）, net ecosystem exchange （NEE） and evapotran-spiration （ET） showed obviously sinusoidal variations from June to September, while the diurnal ecosystem respiration （Res） was stable between daytime and nighttime. The daytime hourly GPP and ET displayed asymptotic rela-tionships with net solar radiation （Rnet）, while showed concave patterns with raising vapor pressure deficit （VPD） and air temperature （Ta）. The increases in hourly GPP and ET towards the maximum occurred over half ranges of VPD and Ta. The seasonal variations of GPP, NEE and ET were close to the cotton phenology, which almost reached the peak value in July. The cumulative GPP averaged 816.2±55.0 g C/m^2 in the growing season （from April to October）, and more than half of GPP was partitioned into NEE （mean value of -478.6±41.4 g C/m^2）. The mean seasonal ET was 501.3±13.9 mm, and the mean water use efficiency （WUE） was 1.0＋0.1 （mg C/g H2O）/d. The agro-ecosystem behaved as a carbon sink from squaring to harvest period, while it acted as a carbon source before the squaring time as well as after the harvest time.展开更多
In plants,high disease resistance often results in a reduction of yield.Therefore,breeding crops with balanced yield and disease resistance has become a major challenge.Recently,microRNA(miRNA)-mediated R gene turnove...In plants,high disease resistance often results in a reduction of yield.Therefore,breeding crops with balanced yield and disease resistance has become a major challenge.Recently,microRNA(miRNA)-mediated R gene turnover has been shown to be a protective mechanism used by plants to prevent autoimmunity in the absence of pathogens.However,whether these miRNAs play a role in plant growth and how miRNA-mediated R gene turnover responds to pathogen infection have rarely been explored.Here,we found that a Brassica miRNA,miR1885,targets both an immune receptor gene and a development-related gene for negative regulation through distinct modes of action.MiR1885 directly silences the TIR-NBS-LRR class of R gene BraTNL1 but represses the expression of the photosynthesis-related gene BraCP24 by targeting the Trans-Acting Silencing(TAS)gene BraTIR1 for trans-acting small interfering RNAs(tasiRNAs)-mediated silencing.We found that,under natural conditions,miR1885 was kept at low levels to maintain normal development and basal immunity but peaked during the floral transition to promote flowering.Interestingly,upon Turnip mosaic virus(TuMV)infection,miR1885-dependent trans-acting silencing of BraCP24 was enhanced to speed up the floral transition,whereas miR1885-mediated R gene turnover was overcome by TuMV-induced BraTNL1 expression,reflecting precise regulation of the arms race between plants and pathogens.Collectively,our results demonstrate that a single Brassica miRNA dynamically regulates both innate immunity and plant growth and responds to viral infection,revealing that Brassica plants have developed a sophisticated mechanism in modulating the interplay between growth,immunity,and pathogen infection.展开更多
Lund-Potsdam-Jena Dynamic Global Vegetation Model(LPJ)模型是由Lund University,Pots-dam Climate Research Centre和Max-Planck-Institute for Biogeochemistry,Jena联合开发的植被动态模型,该模型以气候、土壤质地和CO2数据作为...Lund-Potsdam-Jena Dynamic Global Vegetation Model(LPJ)模型是由Lund University,Pots-dam Climate Research Centre和Max-Planck-Institute for Biogeochemistry,Jena联合开发的植被动态模型,该模型以气候、土壤质地和CO2数据作为输入模拟植被与环境的碳水交换过程。为了利用高时间分辨率的输入数据,对模型的代码进行了改写。张掖绿洲盈科站位于干旱区绿洲典型的农田生态系统。应用其观测资料作为LPJ的输入,模拟了张掖绿洲制种玉米的碳水通量,并用涡动观测到的潜热和CO2通量验证蒸散发和NEE的模拟结果。结果表明LPJ模型能够较好地模拟制种玉米与环境之间的碳水交换,蒸散发(ET)的模拟值与观测值的R2为0.8;NEE的模拟值与观测值的R2为0.79。展开更多
基金This study was performed under the auspice of the National Key Project for Basic Research (Grant No. 2002CB412501) the National Natural Science Foundation of China (Grant no. 30470280)+1 种基金 Knowledge Innovation Program of Chinese Academy of Sciences (KZCX3-SW-339)Damxung Grassland Station of Tibetan Autonomous Region provided observation site and person-nel. Special thanks are extended to Mr Guo Wanjun, Suo- lang Ciren, Huang Qingyi and Yang Junping for their help in data collecting.
文摘Knowledge of seasonal variation of net ecosystem CO2 exchange (NEE) and its biotic and abiotic controllers will further our understanding of carbon cycling process, mechanism and large-scale modelling. Eddy covariance technique was used to measure NEE, biotic and abiotic factors for nearly 3 years in the hinterland alpine steppe--Korbresia meadow grassland on the Tibetan Plateau, the present highest fluxnet station in the world. The main objectives are to investigate dynamics of NEE and its components and to determine the major controlling factors. Maximum carbon assimilation took place in August and maximum carbon loss occurred in November. In June, rainfall amount due to monsoon climate played a great role in grass greening and consequently influenced interannual variation of ecosystem carbon gain. From July through September, monthly NEE presented net carbon assimilation. In other months, ecosystem exhibited carbon loss. In growing season, daytime NEE was mainly controlled by photosynthetically active radiation (PAR). In addition, leaf area index (LAI) interacted with PAR and together modulated NEE rates. Ecosystem respiration was controlled mainly by soil temperature and simultaneously by soil moisture. Q10 was negatively correlated with soil temperature but positively correlated with soil moisture. Large daily range of air temperature is not necessary to enhance carbon gain. Standard respiration rate at referenced 10℃(R10) was positively correlated with soil moisture, soil temperature, LAI and aboveground biomass. Rainfall patterns in growing season markedly influenced soil moisture and therefore soil moisture controlled seasonal change of ecosystem respiration. Pulse rainfall in the beginning and at the end of growing season induced great ecosystem respiration and consequently a great amount of carbon was lost. Short growing season and relative low temperature restrained alpine grass vegetation development. The results suggested that LAI be usually in a low level and carbon uptake be relatively low. Rainf
文摘Terrestrial carbon cycling is one of the hotspots in global change issues. In this paper, we presented the ra-tionale for determination of net exchange of CO2 between terrestrial and the atmosphere (NEE) and the methods for measuring several relevant components. Three key processes for determination of NEE were addressed, including the separation of shoot autotrophic respiration from total CO2 emissions of the ecosystem, the partition of root respiration from soil CO2 efflux, and the quantification of rhizodeposi-tion C from NPP. With an understanding of the processes involved in the CO2 exchange between terrestrial and the atmosphere, we estimated NEE of rice ecosystem in Nanjing based on field measurements of CO2 emissions and several relevant biotic components as well as abiotic factors. The field measurements of CO2 emissions were made over the rice-growing seasons in 2001 and 2002 with the static opaque chamber method. Calculations indicated that the seasonal pattern of NEE is comparable for two seasons. Either net carbon emission or fractional carbon fixation occurred dur-ing 3 weeks after rice transplanting and thereafter net car-bon fixation appeared with an increasing trend as rice grow-ing. Higher net carbon fixation occurred in the rice devel-opmental period from elongating to heading. A decline trend in the fixation was documented after rice heading. The mean daily NEE was -6.06 gC·m-2 in 2001 season and -7.95 gC·m-2 in 2002 season, respectively. These values were comparable to the results obtained by Campbell et al. who made field measurements with the Bowen ratio-energy bal-ance technique in irrigated rice, Texas USA. Moreover, the mean daily NEE in this study was also comparable to the values obtained from a Japanese rice paddy with the eddy covariance method under the similar water regime, either drainage course or waterlogged. It is concluded that NEE determined by the static opaque chamber method is compa-rable and in agreement with those measured by Bowen ratio- energy balance and eddy covari
基金supported by the West Light Foundation of the Chinese Academy of Sciences (XBBS201110)the National Natural Science Foundation of China (41101101)the Chinese Academy of Sciences Key Deployment Project (KZZDEW-08-02-02)
文摘Xinjiang is the largest semi-arid and arid region in China, and drip irrigation under plastic mulch is widely used in this water-limited area. Quantifying carbon and water fluxes as well as investigating their environ- mental drivers over cotton fields is critical for understanding regional carbon and water budgets in Xinjiang, the largest cotton production basin of China. In this study, an eddy covariance （EC） technique was used to measure the carbon and water fluxes of cotton field under drip irrigation with plastic mulch in the growing seasons of 2009, 2010, 2012 and 2013 at Wulanwusu Agrometeorological Experiment Station, a representative oasis cropland in northern Xinjiang. The diurnal patterns of gross primary production （GPP）, net ecosystem exchange （NEE） and evapotran-spiration （ET） showed obviously sinusoidal variations from June to September, while the diurnal ecosystem respiration （Res） was stable between daytime and nighttime. The daytime hourly GPP and ET displayed asymptotic rela-tionships with net solar radiation （Rnet）, while showed concave patterns with raising vapor pressure deficit （VPD） and air temperature （Ta）. The increases in hourly GPP and ET towards the maximum occurred over half ranges of VPD and Ta. The seasonal variations of GPP, NEE and ET were close to the cotton phenology, which almost reached the peak value in July. The cumulative GPP averaged 816.2±55.0 g C/m^2 in the growing season （from April to October）, and more than half of GPP was partitioned into NEE （mean value of -478.6±41.4 g C/m^2）. The mean seasonal ET was 501.3±13.9 mm, and the mean water use efficiency （WUE） was 1.0＋0.1 （mg C/g H2O）/d. The agro-ecosystem behaved as a carbon sink from squaring to harvest period, while it acted as a carbon source before the squaring time as well as after the harvest time.
基金supported by the Strategic Priority Research Program of the Chinese Academy of Sciences,China(XDB27040203)by the National Science Foundation of China,China(no.31570155)The work was also supported by the National Natural Science Foundation of China,China(no.31970157 to Y.-Y.F.and no.31730078 to H.-S.G.).
文摘In plants,high disease resistance often results in a reduction of yield.Therefore,breeding crops with balanced yield and disease resistance has become a major challenge.Recently,microRNA(miRNA)-mediated R gene turnover has been shown to be a protective mechanism used by plants to prevent autoimmunity in the absence of pathogens.However,whether these miRNAs play a role in plant growth and how miRNA-mediated R gene turnover responds to pathogen infection have rarely been explored.Here,we found that a Brassica miRNA,miR1885,targets both an immune receptor gene and a development-related gene for negative regulation through distinct modes of action.MiR1885 directly silences the TIR-NBS-LRR class of R gene BraTNL1 but represses the expression of the photosynthesis-related gene BraCP24 by targeting the Trans-Acting Silencing(TAS)gene BraTIR1 for trans-acting small interfering RNAs(tasiRNAs)-mediated silencing.We found that,under natural conditions,miR1885 was kept at low levels to maintain normal development and basal immunity but peaked during the floral transition to promote flowering.Interestingly,upon Turnip mosaic virus(TuMV)infection,miR1885-dependent trans-acting silencing of BraCP24 was enhanced to speed up the floral transition,whereas miR1885-mediated R gene turnover was overcome by TuMV-induced BraTNL1 expression,reflecting precise regulation of the arms race between plants and pathogens.Collectively,our results demonstrate that a single Brassica miRNA dynamically regulates both innate immunity and plant growth and responds to viral infection,revealing that Brassica plants have developed a sophisticated mechanism in modulating the interplay between growth,immunity,and pathogen infection.
文摘Lund-Potsdam-Jena Dynamic Global Vegetation Model(LPJ)模型是由Lund University,Pots-dam Climate Research Centre和Max-Planck-Institute for Biogeochemistry,Jena联合开发的植被动态模型,该模型以气候、土壤质地和CO2数据作为输入模拟植被与环境的碳水交换过程。为了利用高时间分辨率的输入数据,对模型的代码进行了改写。张掖绿洲盈科站位于干旱区绿洲典型的农田生态系统。应用其观测资料作为LPJ的输入,模拟了张掖绿洲制种玉米的碳水通量,并用涡动观测到的潜热和CO2通量验证蒸散发和NEE的模拟结果。结果表明LPJ模型能够较好地模拟制种玉米与环境之间的碳水交换,蒸散发(ET)的模拟值与观测值的R2为0.8;NEE的模拟值与观测值的R2为0.79。
