Estimation of Net Primary Productivity of Chinese Terrestrial Vegetation Based on Remote Sensing

Zhang, Jinshui; Yaozhong, Pan; Zhu, Wenquan

doi:10.17521/cjpe.2007.0050

Cited by 282 publications

(59 citation statements)

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“…Secondly, combined with observed NPP, the maximum LUE for typical vegetation types in China are simulated based on minimum error, and thus the model is highly suited to China. Finally, this model is combined with existing regional evapotranspiration models, and computation of the water restriction factor is driven by ground meteorological data (Zhu et al, 2007). In this model, NPP can be calculated using the absorbed photosynthetically available radiation (APAR) and real LUE(ε) (Eqn.…”

Section: Methods For Npp Estimationmentioning

confidence: 99%

Analysis of spatio-temporal features of a carbon source/sink and its relationship to climatic factors in the Inner Mongolia grassland ecosystem

Dai

Huang

et al. 2016

J. Geogr. Sci.

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Abstract:Global climate change has become a major concern worldwide. The spatio-temporal characteristics of net ecosystem productivity (NEP), which represents carbon sequestration capacity and directly describes the qualitative and quantitative characteristics of carbon sources/sinks (C sources/sinks), are crucial for increasing C sinks and reducing C sources. In this study, field sampling data, remote sensing data, and ground meteorological observation data were used to estimate the net primary productivity (NPP) in the Inner Mongolia grassland ecosystem (IMGE) from 2001 to 2012 using a light use efficiency model. The spatio-temporal distribution of the NEP in the IMGE was then determined by estimating the NPP and soil respiration from 2001 to 2012. This research also investigated the response of the NPP and NEP to the main climatic variables at the spatial and temporal scales from 2001 to 2012. The results showed that most of the grassland area in Inner Mongolia has functioned as a C sink since 2001 and that the annual carbon sequestration rate amounts to 0.046 Pg C/a. The total net C sink of the IMGE over the 12-year research period reached 0.557 Pg C. The carbon sink area accounted for 60.28% of the total grassland area and the sequestered 0.692 Pg C, whereas the C source area accounted for 39.72% of the total grassland area and released 0.135 Pg C. The NPP and NEP of the IMGE were more significantly correlated with precipitation than with temperature, showing great potential for C sequestration.

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Section: Methods For Npp Estimationmentioning

confidence: 99%

Analysis of spatio-temporal features of a carbon source/sink and its relationship to climatic factors in the Inner Mongolia grassland ecosystem

Dai

Huang

et al. 2016

J. Geogr. Sci.

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“…The model is based on a simplification of general radiation transfer equations [26]. The NDVI and the NDVI-derived Simple Ratio (SR) were used to estimate fPAR, which integrated fPAR NDVI model and fPAR SR would provide an improved estimate [27]. The vegetation classification accuracy is taken into account in the simulation of fPAR, which highlights the difference in photosynthetically active radiation absorption of different vegetation types.…”

Section: Developing Glopem Model and Cevsa Model : Glopem-cevsa Modelmentioning

confidence: 99%

Estimation and Analysis of Spatiotemporal Dynamics of the Net Primary Productivity Integrating Efficiency Model with Process Model in Karst Area

et al. 2017

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Abstract:Estimates of regional net primary productivity (NPP) are useful in modeling regional and global carbon cycles, especially in karst areas. This work developed a new method to study NPP characteristics and changes in Chongqing, a typical karst area. To estimate NPP accurately, the model which integrated an ecosystem process model (CEVSA) with a light use efficiency model (GLOPEM) called GLOPEM-CEVSA was applied. The fraction of photosynthetically active radiation (fPAR) was derived from remote sensing data inversion based on moderate resolution imaging spectroradiometer atmospheric and land products. Validation analyses showed that the PAR and NPP values, which were simulated by the model, matched the observed data well. The values of other relevant NPP models, as well as the MOD17A3 NPP products (NPP MOD17), were compared. In terms of spatial distribution, NPP decreased from northeast to southwest in the Chongqing region. The annual average NPP in the study area was approximately 534 gC/m 2 a (Std. = 175.53) from 2001 to 2011, with obvious seasonal variation characteristics. The NPP from April to October accounted for 80.1% of the annual NPP, while that from June to August accounted for 43.2%. NPP changed with the fraction of absorbed PAR, and NPP was also significantly correlated to precipitation and temperature at monthly temporal scales, and showed stronger sensitivity to interannual variation in temperature.

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“…A modified version was developed by Zhu et al (2007) (Zhu et al, 2007), and was used in this study. The main equations for estimating NPP are as follows:…”

Section: Npp Estimation Modelmentioning

confidence: 99%

“…The 5 method of calculation has been described in detail elsewhere (Field et al, 1995;Potter et al, 1993;Zhu et al, 2007).…”

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confidence: 99%

Empirical and model-based estimates of spatial and temporal variations in net primary productivity in semi-arid grasslands of Northern China

Zhang

Liu

et al. 2017

Preprint

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were mostly negatively correlated with NPP, but temperature was positively correlated with spring and autumn NPP.Spatial correlation and partial correlation analyses at the pixel scale confirmed precipitation as a major driver of NPP.Temperature was negatively correlated with NPP in 99% of the regions at the annual scale, but after removing the effect of precipitation, temperature was positively correlated with the NPP in 77% of the regions.

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Estimation of Net Primary Productivity of Chinese Terrestrial Vegetation Based on Remote Sensing

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Cited by 282 publications

References 0 publications

Analysis of spatio-temporal features of a carbon source/sink and its relationship to climatic factors in the Inner Mongolia grassland ecosystem

Analysis of spatio-temporal features of a carbon source/sink and its relationship to climatic factors in the Inner Mongolia grassland ecosystem

Estimation and Analysis of Spatiotemporal Dynamics of the Net Primary Productivity Integrating Efficiency Model with Process Model in Karst Area

Empirical and model-based estimates of spatial and temporal variations in net primary productivity in semi-arid grasslands of Northern China

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