Performance of four state-of-the-art GPP products (VPM, MOD17, BESS and PML) for grasslands in drought years

Pei, Yanyan; Dong, Jinwei; Zhang, Yao; Yang, Junfeng; Zhang, Yongqiang; Xiao, Xiangming

doi:10.1016/j.ecoinf.2020.101052

Cited by 50 publications

(21 citation statements)

References 73 publications

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“…GPP was obtained by subtracting the ecosystem respiration from the directly measured NEE (Pei et al., 2020). The quality of GPP, temperature (Ta), and vapor pressure deficit (VPD) can refer to NEE_VUT_REF_QC, TA_F_QC, and VPD_F_QC, respectively.…”

Section: Methodsmentioning

confidence: 99%

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The Divergent Estimates of Diffuse Radiation Effects on Gross Primary Production of Forest Ecosystems Using Light‐Use Efficiency Models

Liu

Zhang

Fan

et al. 2021

Geophysical Research Letters

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Diffuse radiation can promote the vegetation photosynthesis. Radiation use efficiency (RUE = GPP/PAR) simulated by Terrestrial Ecosystem Carbon Flux GPP Model (TEC), Vegetation Photosynthesis Model (VPM), Eddy Covariance Light Use Efficiency Model (EC‐LUE), and Diffuse Fraction‐Based Two‐Leaf Terrestrial Ecosystem Carbon Flux Model (DTEC) models were against the measured radiation‐use efficiency (RUE) from FLUXNET under different bins of diffuse photosynthetically active radiation fraction (FDIFFPAR) in this study. Our results showed that the observed RUE increased linearly with FDIFFPAR. The differences of RUE between the first bin and other bin (RUEbin) from two big‐leaf models were underestimated when the FDIFFPAR is higher than 0.5 except in evergreen broadleaf forests and RUEbin from the DTEC model was overestimated when the FDIFFPAR is higher than 0.7. The role of temperature and vapor pressure deficit in the diffuse radiation effects on vegetation photosynthesis was underestimated in EC‐LUE, TEC, VPM. Although many studies applied LUE models to assess the effects of diffuse radiation on vegetation photosynthesis, our results suggested that these models were needed to be improved.

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Section: Methodsmentioning

confidence: 99%

“…Simulations from satellite‐based models provide an opportunity in quantifying the long‐term effects of diffuse light on regional terrestrial carbon uptake (Pei et al., 2020; Z. Zhang et al., 2019). One of the most widely used GPP models is the light use efficiency (LUE) model.…”

Section: Introductionmentioning

confidence: 99%

The Divergent Estimates of Diffuse Radiation Effects on Gross Primary Production of Forest Ecosystems Using Light‐Use Efficiency Models

Liu

Zhang

Fan

et al. 2021

Geophysical Research Letters

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“…We obtained the monthly TWS anomaly (TWSA) data from Jet Propulsion Laboratory (JPL) and Center for Space Research (CSR) that are based on the mascons solution (release 6) at a resolution of 0.5 • . These JPL and CSR RL06 products incorporate corrections to minimize errors, including the C20 coefficients corrections from satellite laser ranging (Loomis et al, 2019), the degree 1 coefficients (GeoCenter) corrections, the glacial isostatic adjustment (GIA) corrections (Peltier et al, 2018), etc. (Swenson and Wahr, 2006).…”

Section: Data Sources and Pre-processingmentioning

confidence: 99%

Assessing the large-scale plant–water relations in the humid, subtropical Pearl River basin of China

Wang

Duan

Liu

et al. 2021

Hydrol. Earth Syst. Sci.

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Abstract. Vegetation interacts closely with water resources. Conventional field studies of plant–water relations are fundamental for understanding the mechanisms of how plants alter and adapt to environmental changes, while large-scale studies can be more practical for regional land use and water management towards mitigating climate change impacts. In this study, we investigated the changes in the total water storage (TWS), aridity index (AI) and vegetation greenness, productivity, and their interactions in the Pearl River basin since April 2002. Results show an overall increasing trend of vegetation greenness and productivity, especially in the middle reaches where TWS also increased. This region dominated by croplands was identified as the hot spot for changes and interactions between water and vegetation in the basin. Vegetation was more strongly affected by TWS than precipitation (P) at both the annual and monthly scales. Further examination showed that the influence of TWS on vegetation in dry years was stronger than wet years, while the impact of P was stronger in wet years than dry years; moreover, vegetation productivity responded slower but stronger to atmospheric dryness in dry years than wet years. The lag effects resulted in nonlinearity between water and vegetation dynamics. This study implies that vegetation in the basin uses rainwater prior to water storage until the soil becomes dry, and their dynamics indicate that vegetation development is subject to water availability, and that vegetation is not dominant in reducing water availability.

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“…However, the flux sites are sparsely distributed, and the coverage period is different and limited ( Jung et al., 2020 ). Hence, various approaches have been developed to estimate the global GPP values ( Chen, 2019 ; Pei et al., 2020 ; Yao et al., 2018 ).…”

Section: Introductionmentioning

confidence: 99%

“…The existing GPP data products can be divided into four main groupings: (1) According to the principle of the light use efficiency (LUE) ( Potter et al., 1993 ; Running et al., 2004 ); (2) Estimating GPP by machine learning algorithms (ML) ( Jung et al., 2019 ; Tramontana et al., 2015 ); (3) Using Eddy Covariance (EC) technique to obtain flux tower observations and scaling-up ( Gu et al., 2013 ), Categories 1–3 can be categorized as data-driven models; (4) Utilizing Land surface models (LSM) or ecosystem models ( Dunne et al., 2012 ; Gent et al., 2011 ; Sun et al., 2019 ). These products diverge in GPP estimates at different ecosystems and external environments and have advantages and disadvantages in various studies ( Chen, 2019 ; Pei et al., 2020 ; Zheng et al., 2019 ). LUE products are good at detecting the spatial distribution pattern of GPP but usually perform poorly on seasonal GPP estimates and overestimate GPP under dry and cold conditions ( Chen et al., 2012 ; Ryu et al., 2011 ; Wei et al., 2017 ; Yuan et al., 2012 , 2014 ).…”

Section: Introductionmentioning

confidence: 99%

Improving global gross primary productivity estimation by fusing multi-source data products

Zhang

2022

Heliyon

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Performance of four state-of-the-art GPP products (VPM, MOD17, BESS and PML) for grasslands in drought years

Cited by 50 publications

References 73 publications

The Divergent Estimates of Diffuse Radiation Effects on Gross Primary Production of Forest Ecosystems Using Light‐Use Efficiency Models

The Divergent Estimates of Diffuse Radiation Effects on Gross Primary Production of Forest Ecosystems Using Light‐Use Efficiency Models

Assessing the large-scale plant–water relations in the humid, subtropical Pearl River basin of China

Improving global gross primary productivity estimation by fusing multi-source data products

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