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An improved estimation of net primary productivity of grassland in the Qinghai-Tibet region using light use efficiency with vegetation photosynthesis model

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  • Yu, Rui

Abstract

Accurate estimation of grassland Net Primary Productivity (NPP) is one of the most important steps in monitoring and further analysing the status of the grassland ecosystem. However, the quality of regional or even global grassland NPP estimations are commonly limited by the two most important input datasets: Photosynthetic Active Radiation (PAR) and climatic data, which make the NPP estimate unrepresentative or even inaccurate. This paper uses a Light Use Efficiency with Vegetation Photosynthesis Model (LUE-VPM) to estimate the high-quality grassland NPP in Zeku. By using the PAR data derived from high resolution DEM products and the improved land surface temperature data, the NPP produced by LUE-VPM shows that it is statistically the same as in situ converted NPP with a p-value of t-test equalling 0.90 (the RMSE between the two is 97.77 gC/m2), while MODIS NPP in Zeku is statically different from the all the in-situ sampling results with a p-value of t-text smaller than 0.03. The results of this paper provided a better estimate than MODIS NPP, and LUE-VPM can be used for the high-quality regional grassland NPP estimation when the quality of PAR data and climatic data improved.

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  • Yu, Rui, 2020. "An improved estimation of net primary productivity of grassland in the Qinghai-Tibet region using light use efficiency with vegetation photosynthesis model," Ecological Modelling, Elsevier, vol. 431(C).
    • Handle: RePEc:eee:ecomod:v:431:y:2020:i:c:s0304380020301939
    DOI: 10.1016/j.ecolmodel.2020.109121
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    References listed on IDEAS

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    1. Song, Wei & Deng, Xiangzheng & Yuan, Yongwei & Wang, Zhan & Li, Zhaohua, 2015. "Impacts of land-use change on valued ecosystem service in rapidly urbanized North China Plain," Ecological Modelling, Elsevier, vol. 318(C), pages 245-253.
    2. Pan, Tao & Wu, Shaohong & Dai, Erfu & Liu, Yujie, 2013. "Estimating the daily global solar radiation spatial distribution from diurnal temperature ranges over the Tibetan Plateau in China," Applied Energy, Elsevier, vol. 107(C), pages 384-393.
    3. Jian-Sheng Ye & James Reynolds & Guo-Jun Sun & Feng-Min Li, 2013. "Impacts of increased variability in precipitation and air temperature on net primary productivity of the Tibetan Plateau: a modeling analysis," Climatic Change, Springer, vol. 119(2), pages 321-332, July.
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    Cited by:

    1. Manoj Hari & Bhishma Tyagi, 2022. "India’s Greening Trend Seems to Slow Down. What Does Aerosol Have to Do with It?," Land, MDPI, vol. 11(4), pages 1-18, April.
    2. Dandan Zhao & Wenyue Jia & Jiping Liu, 2023. "Dynamic Changes and Driving Mechanisms of Net Primary Production (NPP) in a Semi-Arid Region of China," Sustainability, MDPI, vol. 15(15), pages 1-12, August.
    3. Argenti, G. & Chiesi, M. & Fibbi, L. & Maselli, F., 2022. "Use of remote sensing and bio-geochemical models to estimate the net carbon fluxes of managed mountain grasslands," Ecological Modelling, Elsevier, vol. 474(C).

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