Seasonal variation and meteorological control of CO2 flux in a hilly plantation in the mountain areas of North China

Huang, Hui; Zhang, Jinsong; Meng, Ping; Fu, Yuzhen; Zheng, Ning; Gao, Jun

doi:10.1007/s13351-011-0030-y

Cited by 6 publications

(3 citation statements)

References 43 publications

(46 reference statements)

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“…The accuracy of these gridded products has been evaluated by comparing with various field observations. The eddy covariance‐based GPP observations in the East Asian monsoon region were listed in Table S4 (Chen et al, ; Du et al, ; Fang, ; Geng, ; Guo, ; Han, ; Hirata et al, ; Huang et al, ; Kato et al, ; Kosugi et al, ; Kwon et al, ; Lei & Yang, ; Lei & Yang, ; Ono et al, ; Saigusa et al, ; Saito et al, ; Saitoh et al, ; Shimoda et al, ; Sun, ; Takanashi et al, ; Tan et al, ; Wang et al, ; Wu et al, ; Yan, ; Yu et al, ; Zha, ; Zhang, ; Zhang et al, ; Zhao, ; Zhu, ). The SLA observations were collected from 12 typical subtropical evergreen forests (Guo et al, ; Iida et al, ; Kröber et al, ; Le et al, ; Luo et al, ; Wang et al, ; Xu et al, ; Yin et al, ).…”

Section: Methodsmentioning

confidence: 99%

Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region

Cui

Huang

Arain

et al. 2019

Global Biogeochemical Cycles

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Global and regional projections of climate change by Earth system models are limited by their uncertain estimates of terrestrial ecosystem productivity. At the middle to low latitudes, the East Asian monsoon region has higher productivity than forests in Europe‐Africa and North America, but its estimate by current generation of terrestrial biosphere models (TBMs) has seldom been systematically evaluated. Here, we developed a traceability framework to evaluate the simulated gross primary productivity (GPP) by 15 TBMs in the East Asian monsoon region. The framework links GPP to net primary productivity, biomass, leaf area and back to GPP via incorporating multiple vegetation functional properties of carbon‐use efficiency (CUE), vegetation C turnover time (τveg), leaf C fraction (Fleaf), specific leaf area (SLA), and leaf area index (LAI)‐level photosynthesis (PLAI), respectively. We then applied a relative importance algorithm to attribute intermodel variation at each node. The results showed that large intermodel variation in GPP over 1901–2010 were mainly propagated from their different representation of vegetation functional properties. For example, SLA explained 77% of the intermodel difference in leaf area, which contributed 90% to the simulated GPP differences. In addition, the models simulated higher CUE (18.1 ± 21.3%), τveg (18.2 ± 26.9%), and SLA (27.4±36.5%) than observations, leading to the overestimation of simulated GPP across the East Asian monsoon region. These results suggest the large uncertainty of current TBMs in simulating GPP is largely propagated from their poor representation of the vegetation functional properties and call for a better understanding of the covariations between plant functional properties in terrestrial ecosystems.

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Section: Methodsmentioning

confidence: 99%

Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region

Cui

Huang

Arain

et al. 2019

Global Biogeochemical Cycles

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“…In addition, Golovatskaya and Dyukarev [41] found reliable relationships between the air temperature and peat soil CO 2 fluxes at all time scales. Huang et al [42] showed that carbon dioxide fluxes in plantation ecosystems in the hilly areas of north China increased as the monthly mean air temperature increased. Similar to previous studies, we found significant positive correlations between the air temperature and CO 2 -C fluxes in wheat fields.…”

Section: Responses Of Ecosystem Carbon Dioxide Fluxes To Meteorologic...mentioning

confidence: 99%

Effects of Meteorological Factors and Water-Nitrogen Management Techniques on Carbon Dioxide Fluxes in Wheat Fields in a Dry Semi-Humid Area

Cai

et al. 2023

Agronomy

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Studying carbon dioxide fluxes in wheat fields is becoming increasingly important. The dry, semi-humid area in China is an important wheat production area, but the variations in carbon dioxide fluxes in wheat fields and the mechanisms associated with the carbon dioxide flux response to meteorological factors and water–nitrogen management have rarely been studied systematically in this area. Thus, we conducted a monitoring experiment in order to clarify the responses of CO2-C fluxes to meteorological factors and water-and-nitrogen management in wheat fields in this dry, semi-humid area, and modeled the relationships between CO2-C fluxes and meteorological factors under different water-and-nitrogen managements. Four water-and-nitrogen treatments were tested in wheat fields: rain-fed (no water and nitrogen added), irrigation (150 mm water added), rain-fed plus nitrogen application (225 kg ha−1 nitrogen added), and irrigation plus nitrogen application (150 mm water and 225 kg ha−1 nitrogen added). The CO2-C fluxes and meteorological indicators were monitored and analyzed, before fitting the relationships between them. The direct and total effects of precipitation, air temperature, and water vapor pressure on CO2-C fluxes in wheat fields were all positive, and their total effect coefficients were more than 0.7 and significant. Irrigation and nitrogen application increased the CO2-C fluxes in wheat fields by 6.82–14.52% and 51.59–55.94%, respectively. The fitting results showed that partial least squares regression models of the relationships between meteorological factors and CO2-C fluxes in wheat fields under different treatments were all effective, with R2Y (cum) and Q2 (cum) values around 0.7. Overall, these results suggest that precipitation, air temperature, water vapor pressure, and water and nitrogen addition have positive effects on CO2-C fluxes from wheat fields in dry, semi-humid areas. The partial least squares regression method is also suitable for modeling the relationships between meteorological factors and CO2-C fluxes. These results may provide a scientific basis for predicting and regulating CO2-C fluxes in wheat fields in dry, semi-humid areas, and provide a methodological reference for ecosystem carbon dioxide flux simulation studies.

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“…Although shrublands, savannas and grasslands account for 37% of the world's terrestrial area, many studies have been conducted to estimate how forests contribute to the global carbon cycle [1][2][3][4][5][6][7][8], but not many monitor the implications of grasslands/shrublands on the carbon cycle at a large scale [9,10]. Monitoring these non-forested ecosystems in dry areas is important since they are very sensitive to changes in water availability [11] and because they have been suggested as potential candidate areas for major carbon storage efforts [12].…”

Section: Introductionmentioning

confidence: 99%

Assessing MODIS GPP in Non-Forested Biomes in Water Limited Areas Using EC Tower Data

et al. 2015

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Although shrublands, savannas and grasslands account for 37% of the world's terrestrial area, not many studies have analysed the role of these ecosystems in the global carbon cycle at a regional scale. The MODIS Gross Primary Production (GPP) product is used here to help bridge this gap. In this study, the agreement between the MODIS GPP product (GPPm) and the GPP Eddy Covariance tower data (GPPec) was tested for six different sites in temperate and dry climatic regions (three grasslands, two shrublands and one evergreen forest). Results of this study show that for the non-forest sites in water-limited areas, GPPm is well correlated with GPPec at annual scales (r ), although it tends to overestimate GPP and it is less accurate in the sites with permanent water restrictions. The use of biome-specific models based on precipitation measurements at a finer spatial resolution than the Data Assimilation Office (DAO) values can increase the accuracy of these estimations. The seasonal dynamics and the beginning and end of the growing season were well captured by GPPm for the sites where (i) the productivity was low throughout the year or (ii) the changes in the flux trend were abrupt, usually due to the restrictions in water availability. The agreement between GPPec and GPPm in non-forested OPEN ACCESSRemote Sens. 2015, 7 3275 sites was lower on a weekly basis than at an annual scale (0.44 ≤ r 2 ≤ 0.49), but these results were improved by including meteorological data at a finer spatial scale, and soil water content and temperature measurements in the model developed to predict GPPec (0.52 ≤ r 2 ≤ 0.65).

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Seasonal variation and meteorological control of CO2 flux in a hilly plantation in the mountain areas of North China

Cited by 6 publications

References 43 publications

Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region

Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region

Effects of Meteorological Factors and Water-Nitrogen Management Techniques on Carbon Dioxide Fluxes in Wheat Fields in a Dry Semi-Humid Area

Assessing MODIS GPP in Non-Forested Biomes in Water Limited Areas Using EC Tower Data

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