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Large-scale estimates of gross primary production on the Qinghai-Tibet plateau based on remote sensing data

International Journal of Digital Earth 2018年第11期11卷 1166-1183页

作者： Minna Ma Wenping Yuan Jie Dong Fawei Zhang Wenwen Cai Hongqin Li State Key Laboratory of Cryospheric Sciences Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhouPeople’s Republic of China University of Chinese Academy of Sciences BeijingPeople’s Republic of China Faculty of Geographical Science State Key Laboratory of Earth Surface Processes and Resource EcologyBeijing Normal UniversityBeijingPeople’s Republic of China Northwest Institute of Plateau Biology Chinese Academy of SciencesXiningPeople’s Republic of China SuperMap Software Co.Ltd. BeijingPeople’s Republic of China

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(***-LUE)to evaluate the spatial-temporal patterns of GPP and the effect of environmental variables on *** general,EC-LUE model performed well in predicting GPP at different time scale over *** GPP over the entire QTP ranged from 575 to 703 Tg C,and showed a significantly increasing trend from 1982 to ***,there were large spatial heterogeneities in long-term trends of *** the entire QTP,air temperature increase had a greater influence than solar radiation and precipitation(PREC)changes on ***,our results highlight the large uncertainties of previous GPP estimates due to insufficient parameterization and *** 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.

关键词： Qinghai-Tibetan Plateau gross primary production ECLUE model eddy covariance light use efficiency

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Response of Growing Season gross primary production to El Nino in Different Phases of the Pacific Decadal Oscillation over Eastern China Based on Bayesian Model Averaging

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Advances in Atmospheric Sciences 2021年第9期38卷 1580-1595页

作者： Yueyue LI Li DAN Jing PENG Junbang WANG Fuqiang YANG Dongdong GAO Xiujing YANG Qiang YU Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China College of Resources and Environment University of Chinese Academy of ScienceBeijing 100049China Key Laboratory of Regional Climate-Environment for Temperate East Asia Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China National Ecosystem Science Data Center Key Laboratory of Ecosystem Network Observation and ModelingInstitute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau Northwest A&F UniversityShaanxi 712100China School of Life Sciences University of Technology SydneySydney 2007NSWAustralia

gross primary production(GPP) plays a crucial part in the carbon cycle of terrestrial ecosystems.A set of validated monthly GPP data from 1957 to 2010 in 0.5°× 0.5° grids of China was weighted from the Multi-scale Terrestrial Model Intercomparison Project using Bayesian model averaging(BMA).The spatial anomalies of detrended BMA GPP during the growing seasons of typical El Nino years indicated that GPP response to El Nino varies with Pacific Decadal Oscillation(PDO) phases: when the PDO was in the cool phase,it was likely that GPP was greater in northern China(32°–38°N,111°–122°E) and less in the Yangtze River valley(28°–32°N,111°–122°E);in contrast,when PDO was in the warm phase,the GPP anomalies were usually reversed in these two *** consistent spatiotemporal pattern and high partial correlation revealed that rainfall dominated this *** previously published findings on how El Nino during different phases of PDO affecting rainfall in eastern China make the statistical relationship between GPP and El Nino in this study theoretically *** paper not only introduces an effective way to use BMA in grids that have mixed plant function types,but also makes it possible to evaluate the carbon cycle in eastern China based on the prediction of El Nino and PDO.

关键词： East China Bayesian model averaging gross primary production El Nino Pacific Decadal Oscillation Monsoon rainfall

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Spatial and temporal variations of gross primary production simulated by land surface model BCC_AVIM2.0

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Advances in Climate Change Research 2023年第2期14卷 286-299页

作者： Wei-Ping LI Yan-Wu ZHANG Mingquan MU Xue-Li SHI Wen-Yan ZHOU Jin-Jun JI Earth System Modeling and Prediction Centre China Meteorological AdministrationBeijing 100081China State Key Laboratory of Severe Weather(LaSW) China Meteorological AdministrationBeijing 100081China Department of Earth System Science University of CaliforniaIrvine CA 92697-3100USA Institute of Atmospheric Physics Chinese Academy of SciencesBeijing 100029China

gross primary production(GPP)is the largest flux and a crucial player in the terrestrial carbon cycle and has been studied extensively,yet large uncertainties remain in the spatiotemporal patterns of GPP in both observations and *** study evaluates the performance of the second version of the Beijing Climate Center Atmosphere−Vegetation Interaction Model(BCC_AVIM2.0)in simulating GPP on multiple spatial and temporal scales in the Coupled Model Intercomparison Project Phase 6(CMIP6)*** simulations driven by two meteorological datasets were compared with two observation-based GPP products covering 1982–*** patterns of annual GPP show a significant latitudinal gradient in each dataset,increasing from cold(tundra)and dry(desert)biomes to warm(temperate)and humid(tropical rainforest)***_AVIM2.0 overestimates GPP in most parts of the globe,especially in boreal forest regions and Southeast China,while underestimating GPP in subhumid regions in eastern South America and tropical *** four datasets broadly agree on the GPP seasonal cycle,but BCC_AVIM2.0 predicts an earlier beginning of spring growth and a larger amplitude of seasonal variations than those in the *** observation-based datasets exhibit slight interannual variability(IAV)and weak GPP linear trends,while the BCC_AVIM2.0 simulations demonstrate relatively large year-to-year variability and significant trends in the low-latitudes and temperate monsoon regions in North America and East *** the possible relationships between annual means of GPP and climate factors,BCC_AVIM2.0 predicts more extensive regions of the globe where the IAV of annual GPP is dominated by precipitation,especially in mid-to-high latitudes of the Northern Hemisphere and tropical Africa,while the observed GPP in the above regions is temperature-or *** positive GPP biases due to earlier spring growth in boreal forest regions and negative GPP biases in off

关键词： gross primary production Seasonal cycle Interannual variability Trend Land surface model CMIP6

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How the enhanced East Asian summer monsoon regulates total gross primary production in eastern China

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Advances in Climate Change Research 2024年第2期15卷 244-252页

作者： Ming-Yu HAN Yong ZHANG Jing PENG China State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesBeijing 100081China China Meteorological Administration Institute for Development and Programme Design Beijing 100081China CAS Key Laboratory of Regional Climate-Environment for Temperate East Asia Institute of Atmospheric PhysicsChinese Academy of Sciences(CAS)Beijing 100029China

Recognizing the relationship between gross primary production(GPP)and precipitation in eastern China,the East Asian Summer Monsoon(EASM)plays a crucial role in shaping *** confirmation of the strong link between EASM and GPP,there remains a notable research gap in understanding the specific impact of the EASM on GPP in different regions of eastern *** we used simulations from Trends in Net Land-Atmosphere Carbon Exchanges(TRENDY)models from 1951 to 2010 and divided eastern China into five subregions for the *** also used the New East Asian Summer Monsoon Index(NEWI)as a quantitative metric to distinguish between periods of strong and weak *** on this,this study aims to investigate the response of GPP in different subregions of eastern ***,under strengthened EASM years(1954,1957,1965,1969,1977,1980,1983,1987,1993 and 1998),East China experienced the most pronounced increase in GPP at 12±21(mean±1 sigma)gC m^(-2) mon^(-1) compared to the weak EASM years(1958,1961,1972,1973,1978,1981,1985,1994,1997 and 2004).In contrast,Southwest China showed a decline in GPP at-4±10 gC m^(-2) mon^(-1).Moreover,GPP also increased in Northeast and North China when EASM strengthened,while South China showed a decline in *** indicated that GPP changed with monsoon *** to the mechanism analysis,during strong EASM,there was intense moisture convergence through alterations in the atmospheric circulation field over East China and abundant precipitation,which further contributed to the increase in *** solar radiation in Southwest China decreased with EASM enhancement,which suppressed GPP and hindered vegetation ***,the results highlight the importance of accurately predicting the impact of different EASM intensities of regional carbon fluxes.

关键词： gross primary production Surface air temperature Precipitation Solar radiation Eastern China Carbon cycle

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Modeling gross primary production by Integrating Satellite Data and Coordinated Flux Measurements in Arid and Semi-Arid China

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Atmospheric and Oceanic Science Letters 2010年第1期3卷 7-13页

作者： WANG He-Song JIA Gen-Suo FENG Jin-Ming ZHAO Tian-Bao MA Zhu-Guo Key Laboratory of Regional Climate-Environment Research for Temperate East Asia Institute of Atmospheric Physics Chinese Academy of Sciences Beo＇ing 100029 China Graduate University of Chinese Academy of Sciences Beijing 100049 China

Assessing large-scale patterns of gross primary production (GPP) in arid and semi-arid (ASA) areas is important for both scientific and practical *** sensing-based models,which integrate satellite data with input from ground-based meteorological measurements and vegetation characteristics,improve spatially extended estimates of vegetation productivity with high *** this study,the authors simulated GPP in ASA areas by integrating moderate resolution imaging spectral radiometer (MODIS) data with eddy covariance and meteorological measurements at the flux tower sites using the Vegetation Photosynthesis Model (VPM),which is a remote sensing-based model for analyzing the spatial pattern of GPP in different land cover *** field data were collected by coordinating observations at nine stations in *** results indicate that in the region during the growing season GPP was highest in cropland sites,second highest in woodland sites,and lowest in grassland *** captured the temporal and spatial characteristics of GPP for different land covers in ASA ***,Enhanced Vegetation Index (EVI) had a strong liner relationship with GPP in densely vegetated areas,while the Normalized Difference Vegetation Index (NDVI) had a strong liner relationship with GPP over less dense *** study demonstrates the potential of satellite-driven models for scaling-up GPP,which is a key component for studying the carbon cycle at regional and global scales.

关键词： gross primary production vegetation photo- synthesis model eddy covariance remote sensing coordinated observation arid and semiarid areas

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Improving GPP estimates by partitioning green APAR from total APAR in two deciduous forest sites

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Journal of Forestry Research 2023年第4期34卷 915-927页

作者： Siyuan Chen Liangyun Liu Lichun Sui Xinjie Liu College of Geological Engineering and Geomatics Chang’an UniversityXi’an 710054People’s Republic of China Aerospace Information Research Institute Chinese Academy of SciencesBeijing 100094People’s Republic of China

Non-photosynthetic components within a forest ecosystem account for a large proportion of the canopy but are not involved in ***,the accuracy of gross primary production(GPP)estimates is expected to improve by removing these ***,their infl uence in GPP estimations has not been quantitatively evaluated for deciduous *** vegetation indices have been used recently to estimate the fraction of photosynthetically active radiation absorbed by photosynthetic components(FAPAR_(green))for partitioning APAR green(photosynthetically active radiation absorbed by photosynthetic components).In this study,the enhanced vegetation index(EVI)estimated FAPAR_(green)and to separate the photosynthetically active radiation absorbed by photosynthetic components(APAR green)from total APAR observations(APAR_(total))at two deciduous forest *** eddy covariance-light use effi ciency(EC-LUE)algorithm was employed to evaluate the infl uence of non-photosynthetic components and to test the performance of APAR green in GPP *** results show that the infl uence of non-photosynthetic components have a seasonal pattern at deciduous forest sites,large diff erences are observed with normalized root mean square error(RMSE*)values of APAR green-based GPP and APAR_(total)-based GPP between tower-based GPP during the early and end stages,while slight diff erences occurred during peak growth *** addition,daily GPP estimation was significantly improved using the APAR green-based method,giving a higher coeffi cient of determination and lower normalized root mean square error against the GPP estimated by the APAR_(total)-based *** results demonstrate the signifi cance of partitioning APAR green from APAR_(total)for accurate GPP estimation in deciduous forests.

关键词： gross primary production Absorbed photosynthetically active radiation Photosynthetic component Vegetation index AmeriFlux European fl uxes database

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Impacts of heterogeneous CO_(2)on water and carbon fluxes across the global land surface

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International Journal of Digital Earth 2021年第9期14卷 1175-1193页

作者： Jing Tian Yongqiang Zhang Xuanze Zhang Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographical Sciences and Natural Resources Research(IGSNRR)Chinese Academy of Sciences(CAS)BeijingPeople’s Republic of China

Over the recent decades,the increase of atmospheric carbon dioxide(CO_(2))concentration has caused large effects on the earth ***,few studies have paid attention to the effects of heterogeneity of CO_(2)on the biosphere and the *** 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 *** 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 *** most effects of the CO_(2)heterogeneity occurred in *** was identified as a vulnerable region with prominent decrease in GPP and an increase in ET due to CO_(2)*** obvious increase in GPP and a decrease in ET appeared in the Amazon rainforest,the Congo rainforest,and eastern *** global scale,the effects of the CO_(2)heterogeneity on ET/GPP/WUE were not significant.

关键词： Global CO_(2)heterogeneity evapotranspiration gross primary production water use efficiency

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Impacts of hydraulic redistribution on eco-hydrological cycles： A case study over the Amazon basin

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Science China Earth Sciences 2018年第9期61卷 1330-1340页

作者： Yuanyuan WANG Binghao JIA Zhenghui XIE Beijing Meteorological Observatory Beijing 100089 China State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Beijing 100029 China

Hydraulic redistribution(HR)refers to the process of soil water transport through the low-resistance pathway provided by plant *** has been observed in field studies and proposed to be one of the processes that enable plants to resist water ***,most land-surface models(LSMs)currently do not include this underground root *** this study,a HR scheme was incorporated into the Community Land Model version 4.5(CLM4.5)to investigate the effect of HR on the eco-hydrological *** paired numerical simulations(with and without the new HR scheme)were conducted for the Tapajos National Forest km83(BRSa3)site and the *** for the BRSa3 site in the Amazon showed that HR during the wet season was small,gross primary production(GPP)and evapotranspiration(ET)by 10%and 15%,respectively,at the BRSa3 site,partly overcoming the *** the Amazon,regional analysis also revealed that vegetation responses(including GPP and ET)to seasonal drought and the severe drought of 2005 were better captured with the HR scheme incorporated.

关键词： Land-surface model CLM4.5 Hydraulic redistribution gross primary production Evapotranspiration

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Development of the DayCent-Photo model and integration of variable photosynthetic capacity

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Frontiers of Earth Science 2018年第4期12卷 765-778页

作者： Jonathan R.STRAUBE Maosi CHEN William J.PARTON Shinichi ASSO Yan-An LIU Dennis S.OJIMA Wei GAO USDA UV-B Monitoring and Research Program Natural Resource Ecology LaboratoryColorado State UniversityFort CollinsCO 80521USA Natural Resource Ecology Laboratory.Colorado State University Fort CollinsCO 80523USA Key Laboratory of Geographic Information Science (Ministry of Education) East China Normal UniversityShanghai 200241China School of Geographic Sciences East China Normal UniversityShanghai 200241China ECNU-CSU Joint Research Institute for New Energy and the Environment Shanghai 200062China Department of Ecosystem Science and Sustainability Colorado State UniversityFort CollinsCO 80523USA

We integrated a photosynthetic sub-model into the daily Century model (DayCent) to improve the estimations of seasonal changes in carbon fluxes at the Niwot Ridge LTER site and the Harvard forest LTER site (DayCent-Photo). The photosynthetic sub-model, adapted from the SIPNET/PnET family of models, includes solar radiation and vapor pressure deficit controls on production, as well as temperature and water stress terms. A key feature we added to the base photosynthetic equations is the addition of a variable maximum net photosynthetic rate (Amax). We optimized the parameters controlling photosynthesis using a variation of the Metropolis-Hastings algorithm along with data-assimilation techniques. The model was optimized and validated against observed net ecosystem exchange (NEE) and estimated gross primary production (GPP) and ecosystem respiration (RESP) values for AmeriFlux sites at Niwot Ridge and Harvard forest. The inclusion of a variable Amax rate greatly improved model performance (NEE RMSE = 0.63 gC center dot m(-2), AIC = 2099) versus a version with a single Amax parameter (NEE RMSE = 0.74 gC center dot m(-2), AIC = 3724). DayCent-Photo was able to capture the inter-annual and seasonal flux patterns for NEE, GPP, ecosystem respiration (RESP), and daily actual evapotranspiration (AET), but tended to overestimate yearly NEE uptake. The DayCent-Photo model has been successfully set up to simulate daily NEE, GPP, RESP, and AET for deciduous forest, conifer forests, and grassland systems in the US using AmeriFlux data sets and has recently been improved to include the impact of UV radiation surface litter decay (DayCent-UV). The simulated influence of a variable Amax rate suggests a need for further studies on the process controls affecting the seasonal photosynthetic rates. The results for all of the forest and grassland sites show that maximum Amax values occurs early during the growing period and taper off toward the end of the growing season.

关键词： DayCent-Photo model seasonal maximum net photosynthetic rate net ecosystem exchange gross primary production UV radiation

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Clipping Alters the Response of Biomass production to Experimental Warming: A Case Study in an Alpine Meadow on the Tibetan Plateau, China

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Journal of Mountain Science 2015年第4期12卷 935-942页

作者： FU Gang SUN Wei YU Cheng-Qun ZHANG Xian-Zhou SHEN Zhen-Xi LI Yun-Long YANG Peng-Wan ZHOU Nan Lhasa Plateau Ecosystem Research Station Key Laboratory of Ecosystem Network Observation and ModelingInstitute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences University of Chinese Academy of Sciences

Predicting how human activity will influence the response of alpine grasslands to future warming has many *** this study, a field experiment with controlled warming and clipping was conducted in an alpine meadow at three elevations（4313 m, 4513 m and 4693 m） in Northern Tibet to test the hypothesis that clipping would alter warming effect on biomass *** top chambers（OTCs） were used to increase temperature since July,2008 and the OTCs increased air temperature by approximately 0.9o C ~ 1.8o C during the growing *** was conducted three times one year during growing season and the aboveground parts of all live plants were clipped to approximately 0.01 m in height using scissors since *** primary production（GPP） was calculated from the Moderate-Resolution Imaging Spectroradiometer GPP algorithm and aboveground plant production was estimated using the surface-measured normalized difference vegetation index in *** decreased the GPP, aboveground biomass（AGB） and aboveground net primary production（ANPP） at all three elevations when clipping was not *** contrast, warming increased AGB at all three elevations, GPP at the two lower elevations and ANPP at the two higher elevations when clipping was *** findings show that clipping reduced the negative effect of warming on GPP, AGB and ANPP, suggesting that clipping may reduce the effect of climate warming on GPP, AGB and ANPP in alpine meadows on the Tibetan Plateau, and therefore, may be a viable strategy for mitigating the effects of climate change on grazing and animal husbandry on the Tibetan Plateau.

关键词： Clipping gross primary production Open top chamber Warming Alpine Meadow Tibetan Plateau

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