To understand the seasonal variations of water use efficiency (WUE) of coniferous plantation in the subtropical monsoon area, the experiment was conducted in 2003 and 2004 which presented two distinguished climatic co...To understand the seasonal variations of water use efficiency (WUE) of coniferous plantation in the subtropical monsoon area, the experiment was conducted in 2003 and 2004 which presented two distinguished climatic conditions (severe summer drought in 2003 and normal climatic condition in 2004). The water stress influenced WUE greatly, which caused a special seasonal WUE pattern. WUE reached the minimum in summer drought and the maximum in winter, which was contrary to the variation of gross primary production (GPP) and canopy evaporation (Fw). In winter, GPP and Fw increased along with the increasing of air temperature and vapor pressure deficit (VPD), with the similar increasing rate. However, in drought summer, there was an adverse trend among GPP/Fw and air temperature and VPD, and the decreasing rate of GPP was far larger than that of Fw. In summer, the conservation of WUE was changed because of the environmental factors, resulting in the decreasing WUE. The photosynthesis and transpiration of vegetation were mainly controlled by the environmental factors in winter, and the impact of stomatal regulation was relatively weak. In summer, Fw was mainly controlled by the stomatal closure and GPP by both environmental factors and stomatal closure.展开更多
Water use efficiency(WUE)is an important variable to explore coupled relationships in carbon and water cycles.In this study,we first compared the spatial variations of annual gross primary productivity(GPP)and evapotr...Water use efficiency(WUE)is an important variable to explore coupled relationships in carbon and water cycles.In this study,we first compared the spatial variations of annual gross primary productivity(GPP)and evapotranspiration(ET)using four GPP and ET products.Second,we selected the products closest to the flux towers data to estimate WUE.Finally,we quantitatively analyzed the impact of climate change and soil water content on WUE.The results showed that:(1)Four GPP and ET products provided good performance,with GOSIF-GPP and FLDAS-ET exhibiting a higher correlation and the smallest errors with the flux tower data.(2)The spatial pattern of WUE is consistent with that of GPP and ET,gradually decreasing from the northeast to the southwest.Higher WUE values appeared in the northeast forest ecosystem,and lower WUE values occurred in the western Gobi Desert,with a value of 0.28 gC m^(-2)mm^(-1).The GPP and ET products showed an increasing trend,while WUE showed a decreasing trend(55.15%)from 2001 to 2020.(3)The spatial relationship between WUE and driving factors reveal the variations in WUE of Inner Mongolia are mainly affected by soil moisture between 0 and 10 cm(SM0–10cm),vapor pressure deficit(VPD),and precipitation,respectively.(4)In arid regions,VPD and precipitation exhibit a major influence on WUE.An increase in VPD and precipitation has a negative and positive effect on WUE,with threshold values of approximately 0.36 k Pa and 426 mm,respectively.(5)In humid regions,SM0–10cm,VPD,SM10–40cm,and SM40–100cm exert a significant impact on WUE,especially SM0–10cm,and weakens with increasing soil depths,these differences may be related to physiological structure and living characteristics of vegetation types in different climate regimes.Our results emphasize the importance of VPD and soil moisture in regional variability in WUE.展开更多
Vegetation gross primary production(GPP)is an important variable for the carbon cycle on the Qinghai-Tibetan Plateau(QTP).Based on the measurements from 12 eddy covariance flux sites,we validated a light use efficienc...Vegetation gross primary production(GPP)is an important variable for the carbon cycle on the Qinghai-Tibetan Plateau(QTP).Based on the measurements from 12 eddy covariance flux sites,we validated a light use efficiency model(i.e.EC-LUE)to evaluate the spatial-temporal patterns of GPP and the effect of environmental variables on QTP.In general,EC-LUE model performed well in predicting GPP at different time scale over QTP.Annual GPP over the entire QTP ranged from 575 to 703 Tg C,and showed a significantly increasing trend from 1982 to 2013.However,there were large spatial heterogeneities in long-term trends of GPP.Throughout the entire QTP,air temperature increase had a greater influence than solar radiation and precipitation(PREC)changes on productivity.Moreover,our results highlight the large uncertainties of previous GPP estimates due to insufficient parameterization and validations.When compared with GPP estimates of the EC-LUE model,most Coupled Model Intercomparison Project(CMIP5)GPP products overestimate the magnitude and increasing trends of regional GPP,which potentially impact the feedback of ecosystems to regional climate changes.展开更多
Maize is one of the most important crops cultivated on the global scale.Accurate estimation of maize Gross Primary Production(GPP)can provide valuable information for regional and global carbon budget studies.From sit...Maize is one of the most important crops cultivated on the global scale.Accurate estimation of maize Gross Primary Production(GPP)can provide valuable information for regional and global carbon budget studies.From site level to regional/global scales,GPP estimation depends on remote sensing or eddy covariance flux data.In this research,the 8-day composite GPP of maize was estimated by Moderate Resolution Imaging Spectroradiometer(MODIS)and flux tower data at eight study sites using a Regional Production Efficiency Model(REG-PEM).The performance of the model was assessed by analyzing the linearly regression of GPP estimated from the REG-PEM model(GPPEST)with the GPP predicted from the eddy covariance data(GPPEC).The coefficient of determination,root mean squared error and mean absolute error of the regression model were calculated.The uncertainties of the model are also discussed in this research.The seasonal dynamics(phases and magnitudes)of the GPPEST reasonably agreed with those of GPPEC,indicating the potential of the satellite-driven REG-PEM model for up-scaling the GPP in maize croplands.Furthermore,the maize GPP estimated by this model is more accurate than the MODIS GPP products(MOD17A2).In particular,MOD17A2 significantly underestimated the GPP of maize croplands.The uncertainties in the REG-PEM model are mostly contributed by the maximum light use efficiency and the fraction of photosynthetically active radiation.展开更多
High temperature and humidity can be controlled in greenhouses by using mechanical refrigeration cooling system such as air conditioner(AC)in warm and humid regions.This study aims to evaluate the techno-financial asp...High temperature and humidity can be controlled in greenhouses by using mechanical refrigeration cooling system such as air conditioner(AC)in warm and humid regions.This study aims to evaluate the techno-financial aspects of the AC-cooled greenhouse as compared to the evaporative cooled(EV-cooled)greenhouse in winter and summer seasons.Two quonset single-span prototype greenhouses were built in the Agriculture Experiment Station of Sultan Qaboos University,Oman,with dimensions of 6.0 m long and 3.0 m wide.The AC-cooled greenhouse was covered by a rockwool insulated polyethylene plastic sheet and light emitting diodes(LED)lights were used as a source of light,while the EV-cooled greenhouse was covered by a transparent polyethylene sheet and sunlight was used as light source.Three cultivars of high-value lettuce were grown for experimentation.To evaluate the technical efficiency of greenhouse performance,we conducted measures on land use efficiency(LUE),water use efficiency(WUE),gross water use efficiency(GWUE)and energy use efficiency(EUE).Financial analysis was conducted to compare the profitability of both greenhouses.The results showed that the LUE in winter were 10.10 and 14.50 kg/m^(2) for the AC-and EV-cooled greenhouses,respectively.However,the values reduced near to 6.80 kg/m^(2) in both greenhouses in summer.The WUE of the AC-cooled greenhouse was higher than that of the EV-cooled greenhouse by 3.8%in winter and 26.8%in summer.The GWUE was used to measure the total yield to the total greenhouse water consumption including irrigation and cooling water;it was higher in the AC-cooled greenhouse than in the EV-cooled greenhouse in both summer and winter seasons by almost 98.0%–99.4%.The EUE in the EV-cooled greenhouse was higher in both seasons.Financial analysis showed that in winter,gross return,net return and benefit-to-cost ratio were better in the EVcooled greenhouse,while in summer,those were higher in the AC-cooled greenhouse.The values of internal rate of return in the AC-and EV-cooled greenhouses w展开更多
The accurate measurement of the dynamics of photosynthesis in China’s subtropical evergreen forest ecosystems is an important contribution to carbon(C) sink estimates in global terrestrial ecosystems and their respon...The accurate measurement of the dynamics of photosynthesis in China’s subtropical evergreen forest ecosystems is an important contribution to carbon(C) sink estimates in global terrestrial ecosystems and their responses to climate change. Eddy covariance has historically been the only direct method to assess C flux of whole ecosystems with high temporal resolution, but it suffers from limited spatial resolution. During the last decade, continuous global monitoring of plant primary productivity from spectroradiometer sensors on flux towers and satellites has extended the temporal and spatial coverage of C flux observations. In this study, we evaluated the performance of two physiological remote sensing indices, fluorescence reflectance index(FRI) and photochemical reflectance index(PRI), to measure the seasonal variations of photosynthesis in a subtropical evergreen forest ecosystem using continuous canopy spectral and flux measurements in the Dinghushan Nature Reserve in southern China.The more commonly used NDVI has been shown to be saturated and mainly affected by illumination(R^2=0.88, p <0.001), but FRI and PRI could better track the seasonal dynamics of plant photosynthetic functioning by comparison and are less affected by illumination(R^2=0.13 and R^2=0.51, respectively) at the seasonal scale. FRI correlated better with daily gross primary production(GPP) in the morning hours than in the afternoon hours, in contrast to PRI which correlated better with light-use efficiency(LUE) in the afternoon hours. Both FRI and PRI could show greater correlations with GPP and LUE respectively in the senescence season than in the recovery-growth season. When incident PAR was taken into account, the relationship between GPP and FRI was improved and the correlation coefficient increased from 0.22 to 0.69(p < 0.001). The strength of the correlation increased significantly in the senescence season(R^2=0.79, p < 0.001). Our results demonstrate the application of FRI and PRI as physiological indices for the accurate measureme展开更多
Purpose The purpose was to investigate whether an increased amount of training while carrying the rifle affects skiing in well-trained biathletes at submaximal and maximal workloads during a pre-season period lasting ...Purpose The purpose was to investigate whether an increased amount of training while carrying the rifle affects skiing in well-trained biathletes at submaximal and maximal workloads during a pre-season period lasting a minimum of 12 weeks.Methods Seventeen well-trained biathletes(9 females,8 males)were assigned to an intervention(IG,n=10)or control(CG,n=7)group.Before(T1)and after(T2)the training intervention all participants performed,using treadmill roller-skiing,a submaximal test without the rifle on one day and two submaximal workloads and a maximal time trial(TT)with the rifle on a subsequent day.Between T1 and T2 all participants performed a minimum of 12 weeks of normal training,the only difference between groups being that IG performed more of their training sessions carrying the rifle.Results IG performed more training compared to CG(15.4±1.1 vs.11.2±2.6 h/week,P<0.05),including a higher amount of training with the rifle(3.1±0.6 vs.1.1±0.3 h/week,P<0.001).Speed at 4 mmol/L of blood lactate increased significantly for CG from T1 to T2(P=0.028),while only tended to increase for IG(P=0.058).Performance during the TT,VO2max and the aerobic metabolic rate increased significantly from T1 to T2,although the differences disappeared when including the speed at baseline as a covariate.Conclusion According to the present results,increasing training while carrying the rifle by 2 h/week does not appear to improve skiing performance in well-trained biathletes.In addition,physiological markers at submaximal and maximal intensities while carrying the rifle were not affected after the training intervention.展开更多
Over the recent decades,the increase of atmospheric carbon dioxide(CO_(2))concentration has caused large effects on the earth system.However,few studies have paid attention to the effects of heterogeneity of CO_(2)on ...Over the recent decades,the increase of atmospheric carbon dioxide(CO_(2))concentration has caused large effects on the earth system.However,few studies have paid attention to the effects of heterogeneity of CO_(2)on the biosphere and the hydrosphere.Using a coupled diagnostic biophysical model(PML-V2)and comparing three heterogeneous CO_(2)datasets(GOSAT,CMIP6 and CarbonTracker)against a baseline homogeneous data(ESRL),this study investigated the effects of heterogeneous CO_(2)on gross primary production(GPP),actual evapotranspiration(ET)and water use efficiency(WUE)across the global.The results show that among the three heterogeneity CO_(2),CarbonTracker produced the highest CO_(2)concentration and showed the largest difference in ET(−6%to 2%),GPP(−2%to 5%)and WUE(4%to 11%)compared to those from the baseline.The most effects of the CO_(2)heterogeneity occurred in summer.Russia was identified as a vulnerable region with prominent decrease in GPP and an increase in ET due to CO_(2)heterogeneity.An obvious increase in GPP and a decrease in ET appeared in the Amazon rainforest,the Congo rainforest,and eastern Asia.On global scale,the effects of the CO_(2)heterogeneity on ET/GPP/WUE were not significant.展开更多
基金This work was supported by the Na-tional Outstanding Young Scientists Foundation of China (Grant No. 30225012) the Knowledge Innovation Program of the Chinese Academy of Sciences (Grant No. KZCX1-SW01-01A)+1 种基金 the National Basic Research Program of China (Grant No 2002CB412501) the Asia-Pacific Environ-mental Innovation Strategy Project (APEIS).
文摘To understand the seasonal variations of water use efficiency (WUE) of coniferous plantation in the subtropical monsoon area, the experiment was conducted in 2003 and 2004 which presented two distinguished climatic conditions (severe summer drought in 2003 and normal climatic condition in 2004). The water stress influenced WUE greatly, which caused a special seasonal WUE pattern. WUE reached the minimum in summer drought and the maximum in winter, which was contrary to the variation of gross primary production (GPP) and canopy evaporation (Fw). In winter, GPP and Fw increased along with the increasing of air temperature and vapor pressure deficit (VPD), with the similar increasing rate. However, in drought summer, there was an adverse trend among GPP/Fw and air temperature and VPD, and the decreasing rate of GPP was far larger than that of Fw. In summer, the conservation of WUE was changed because of the environmental factors, resulting in the decreasing WUE. The photosynthesis and transpiration of vegetation were mainly controlled by the environmental factors in winter, and the impact of stomatal regulation was relatively weak. In summer, Fw was mainly controlled by the stomatal closure and GPP by both environmental factors and stomatal closure.
基金National Natural Science Foundation of China,No.42061070,No.61631011Science and Technology Fundamental Resources Survey Special Sub-project,No.2017FY101301-4Fundamental Research Funds for the Inner Mongolia Normal University,No.2022JBBJ013。
文摘Water use efficiency(WUE)is an important variable to explore coupled relationships in carbon and water cycles.In this study,we first compared the spatial variations of annual gross primary productivity(GPP)and evapotranspiration(ET)using four GPP and ET products.Second,we selected the products closest to the flux towers data to estimate WUE.Finally,we quantitatively analyzed the impact of climate change and soil water content on WUE.The results showed that:(1)Four GPP and ET products provided good performance,with GOSIF-GPP and FLDAS-ET exhibiting a higher correlation and the smallest errors with the flux tower data.(2)The spatial pattern of WUE is consistent with that of GPP and ET,gradually decreasing from the northeast to the southwest.Higher WUE values appeared in the northeast forest ecosystem,and lower WUE values occurred in the western Gobi Desert,with a value of 0.28 gC m^(-2)mm^(-1).The GPP and ET products showed an increasing trend,while WUE showed a decreasing trend(55.15%)from 2001 to 2020.(3)The spatial relationship between WUE and driving factors reveal the variations in WUE of Inner Mongolia are mainly affected by soil moisture between 0 and 10 cm(SM0–10cm),vapor pressure deficit(VPD),and precipitation,respectively.(4)In arid regions,VPD and precipitation exhibit a major influence on WUE.An increase in VPD and precipitation has a negative and positive effect on WUE,with threshold values of approximately 0.36 k Pa and 426 mm,respectively.(5)In humid regions,SM0–10cm,VPD,SM10–40cm,and SM40–100cm exert a significant impact on WUE,especially SM0–10cm,and weakens with increasing soil depths,these differences may be related to physiological structure and living characteristics of vegetation types in different climate regimes.Our results emphasize the importance of VPD and soil moisture in regional variability in WUE.
基金Key Project of Chinese Academy of Sciences(CAS)[grant number KJZD-EW-G03-04]National Key R&D Program of China[grant number 2017YFA0604801]+2 种基金One Hundred Person Project of CAS[grant number Y329k71002]National Science Foundation for Excellent Young Scholars of China[grant number 41322005]the CAS Interdisciplinary Innovation Team of the Chinese Academy of Sciences.
文摘Vegetation gross primary production(GPP)is an important variable for the carbon cycle on the Qinghai-Tibetan Plateau(QTP).Based on the measurements from 12 eddy covariance flux sites,we validated a light use efficiency model(i.e.EC-LUE)to evaluate the spatial-temporal patterns of GPP and the effect of environmental variables on QTP.In general,EC-LUE model performed well in predicting GPP at different time scale over QTP.Annual GPP over the entire QTP ranged from 575 to 703 Tg C,and showed a significantly increasing trend from 1982 to 2013.However,there were large spatial heterogeneities in long-term trends of GPP.Throughout the entire QTP,air temperature increase had a greater influence than solar radiation and precipitation(PREC)changes on productivity.Moreover,our results highlight the large uncertainties of previous GPP estimates due to insufficient parameterization and validations.When compared with GPP estimates of the EC-LUE model,most Coupled Model Intercomparison Project(CMIP5)GPP products overestimate the magnitude and increasing trends of regional GPP,which potentially impact the feedback of ecosystems to regional climate changes.
基金China’s Special Funds for Major State Basic Research Project(2013CB733405)the National Natural Science Foundation of China(41471294)+1 种基金the open fund of the State Key Laboratory of Remote Sensing Science(OFSLRSS201408)China Scholarship Council,and OATF from UESTC.
文摘Maize is one of the most important crops cultivated on the global scale.Accurate estimation of maize Gross Primary Production(GPP)can provide valuable information for regional and global carbon budget studies.From site level to regional/global scales,GPP estimation depends on remote sensing or eddy covariance flux data.In this research,the 8-day composite GPP of maize was estimated by Moderate Resolution Imaging Spectroradiometer(MODIS)and flux tower data at eight study sites using a Regional Production Efficiency Model(REG-PEM).The performance of the model was assessed by analyzing the linearly regression of GPP estimated from the REG-PEM model(GPPEST)with the GPP predicted from the eddy covariance data(GPPEC).The coefficient of determination,root mean squared error and mean absolute error of the regression model were calculated.The uncertainties of the model are also discussed in this research.The seasonal dynamics(phases and magnitudes)of the GPPEST reasonably agreed with those of GPPEC,indicating the potential of the satellite-driven REG-PEM model for up-scaling the GPP in maize croplands.Furthermore,the maize GPP estimated by this model is more accurate than the MODIS GPP products(MOD17A2).In particular,MOD17A2 significantly underestimated the GPP of maize croplands.The uncertainties in the REG-PEM model are mostly contributed by the maximum light use efficiency and the fraction of photosynthetically active radiation.
文摘High temperature and humidity can be controlled in greenhouses by using mechanical refrigeration cooling system such as air conditioner(AC)in warm and humid regions.This study aims to evaluate the techno-financial aspects of the AC-cooled greenhouse as compared to the evaporative cooled(EV-cooled)greenhouse in winter and summer seasons.Two quonset single-span prototype greenhouses were built in the Agriculture Experiment Station of Sultan Qaboos University,Oman,with dimensions of 6.0 m long and 3.0 m wide.The AC-cooled greenhouse was covered by a rockwool insulated polyethylene plastic sheet and light emitting diodes(LED)lights were used as a source of light,while the EV-cooled greenhouse was covered by a transparent polyethylene sheet and sunlight was used as light source.Three cultivars of high-value lettuce were grown for experimentation.To evaluate the technical efficiency of greenhouse performance,we conducted measures on land use efficiency(LUE),water use efficiency(WUE),gross water use efficiency(GWUE)and energy use efficiency(EUE).Financial analysis was conducted to compare the profitability of both greenhouses.The results showed that the LUE in winter were 10.10 and 14.50 kg/m^(2) for the AC-and EV-cooled greenhouses,respectively.However,the values reduced near to 6.80 kg/m^(2) in both greenhouses in summer.The WUE of the AC-cooled greenhouse was higher than that of the EV-cooled greenhouse by 3.8%in winter and 26.8%in summer.The GWUE was used to measure the total yield to the total greenhouse water consumption including irrigation and cooling water;it was higher in the AC-cooled greenhouse than in the EV-cooled greenhouse in both summer and winter seasons by almost 98.0%–99.4%.The EUE in the EV-cooled greenhouse was higher in both seasons.Financial analysis showed that in winter,gross return,net return and benefit-to-cost ratio were better in the EVcooled greenhouse,while in summer,those were higher in the AC-cooled greenhouse.The values of internal rate of return in the AC-and EV-cooled greenhouses w
基金National Key Research and Development Program of China(2017YFC0503803)National Natural Science Foundation of China(41571192)+1 种基金Natural Science Foundation of Hebei,China(D2016302002)Science and Technology Planning Project of Hebei,China(17390313D)
文摘The accurate measurement of the dynamics of photosynthesis in China’s subtropical evergreen forest ecosystems is an important contribution to carbon(C) sink estimates in global terrestrial ecosystems and their responses to climate change. Eddy covariance has historically been the only direct method to assess C flux of whole ecosystems with high temporal resolution, but it suffers from limited spatial resolution. During the last decade, continuous global monitoring of plant primary productivity from spectroradiometer sensors on flux towers and satellites has extended the temporal and spatial coverage of C flux observations. In this study, we evaluated the performance of two physiological remote sensing indices, fluorescence reflectance index(FRI) and photochemical reflectance index(PRI), to measure the seasonal variations of photosynthesis in a subtropical evergreen forest ecosystem using continuous canopy spectral and flux measurements in the Dinghushan Nature Reserve in southern China.The more commonly used NDVI has been shown to be saturated and mainly affected by illumination(R^2=0.88, p <0.001), but FRI and PRI could better track the seasonal dynamics of plant photosynthetic functioning by comparison and are less affected by illumination(R^2=0.13 and R^2=0.51, respectively) at the seasonal scale. FRI correlated better with daily gross primary production(GPP) in the morning hours than in the afternoon hours, in contrast to PRI which correlated better with light-use efficiency(LUE) in the afternoon hours. Both FRI and PRI could show greater correlations with GPP and LUE respectively in the senescence season than in the recovery-growth season. When incident PAR was taken into account, the relationship between GPP and FRI was improved and the correlation coefficient increased from 0.22 to 0.69(p < 0.001). The strength of the correlation increased significantly in the senescence season(R^2=0.79, p < 0.001). Our results demonstrate the application of FRI and PRI as physiological indices for the accurate measureme
文摘Purpose The purpose was to investigate whether an increased amount of training while carrying the rifle affects skiing in well-trained biathletes at submaximal and maximal workloads during a pre-season period lasting a minimum of 12 weeks.Methods Seventeen well-trained biathletes(9 females,8 males)were assigned to an intervention(IG,n=10)or control(CG,n=7)group.Before(T1)and after(T2)the training intervention all participants performed,using treadmill roller-skiing,a submaximal test without the rifle on one day and two submaximal workloads and a maximal time trial(TT)with the rifle on a subsequent day.Between T1 and T2 all participants performed a minimum of 12 weeks of normal training,the only difference between groups being that IG performed more of their training sessions carrying the rifle.Results IG performed more training compared to CG(15.4±1.1 vs.11.2±2.6 h/week,P<0.05),including a higher amount of training with the rifle(3.1±0.6 vs.1.1±0.3 h/week,P<0.001).Speed at 4 mmol/L of blood lactate increased significantly for CG from T1 to T2(P=0.028),while only tended to increase for IG(P=0.058).Performance during the TT,VO2max and the aerobic metabolic rate increased significantly from T1 to T2,although the differences disappeared when including the speed at baseline as a covariate.Conclusion According to the present results,increasing training while carrying the rifle by 2 h/week does not appear to improve skiing performance in well-trained biathletes.In addition,physiological markers at submaximal and maximal intensities while carrying the rifle were not affected after the training intervention.
基金supported by the National Key Research and Development Program of China[grant number 2016YFA0602501]the National Natural Science Foundation of China[grant numbers 42071327 and 41971032].
文摘Over the recent decades,the increase of atmospheric carbon dioxide(CO_(2))concentration has caused large effects on the earth system.However,few studies have paid attention to the effects of heterogeneity of CO_(2)on the biosphere and the hydrosphere.Using a coupled diagnostic biophysical model(PML-V2)and comparing three heterogeneous CO_(2)datasets(GOSAT,CMIP6 and CarbonTracker)against a baseline homogeneous data(ESRL),this study investigated the effects of heterogeneous CO_(2)on gross primary production(GPP),actual evapotranspiration(ET)and water use efficiency(WUE)across the global.The results show that among the three heterogeneity CO_(2),CarbonTracker produced the highest CO_(2)concentration and showed the largest difference in ET(−6%to 2%),GPP(−2%to 5%)and WUE(4%to 11%)compared to those from the baseline.The most effects of the CO_(2)heterogeneity occurred in summer.Russia was identified as a vulnerable region with prominent decrease in GPP and an increase in ET due to CO_(2)heterogeneity.An obvious increase in GPP and a decrease in ET appeared in the Amazon rainforest,the Congo rainforest,and eastern Asia.On global scale,the effects of the CO_(2)heterogeneity on ET/GPP/WUE were not significant.
