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All issues Volume 131 (2019) E3S Web Conf., 131 (2019) 01044 References
Open Access
Issue
E3S Web Conf.
Volume 131, 2019
2nd International Conference on Biofilms (ChinaBiofilms 2019)
Article Number 01044
Number of page(s) 6
DOI https://doi.org/10.1051/e3sconf/201913101044
Published online 19 November 2019
  1. Yuan Wen-ping, Cai Wen-wen, Liu Dan, et al. Satellite-based Vegetation Production Models of Terrestrial Ecosystem: An Overview[J]. Advances in Earth Science, 2014, 29(05): 541-550. [Google Scholar]
  2. Zhao Lu-qing. Spatio-temporal Patterns of the Vegetation Greenness Period and Net Primary Productivity and their Responses to Climate Change in the Middle and Lower Reaches of Yarlung Zangbo River [D]. East China Normal University (ECNU), 2011. [Google Scholar]
  3. Lieth H, Whittaker RH. Primary productivity of the biosphere [M]. Springer-Verlag, 1975. [CrossRef] [Google Scholar]
  4. Suri Gu-ga. Impact of Land Use Change on Net Primary Productivity in Hulunbeier Area [D]. Inner Mongolia Teaching University, 2017. [Google Scholar]
  5. Singh RP, Rovshan S, Goroshi SK, et al. Spatial and Temporal Variability of Net Primary Productivity (NPP) over Terrestrial Biosphere of India Using NOAA-AVHRR Based GloPEM Model[J]. Journal of the Indian Society of Remote Sensing, 2011, 39(3): 345-353. [CrossRef] [Google Scholar]
  6. Potter C, Klooster S, Hiatt C, et al. Changes in the carbon cycle of Amazon ecosystems during the 2010 drought[J]. Environmental Research Letters, 2011, 6 (3):034024. [CrossRef] [Google Scholar]
  7. Zhou Xia-fei, Yu Fang, Cao Guo-zhi, et al. Spatiotemporal Features of Carbon Source-Sink and Its Relationship with Climate Factors in Qinghai-Tibet Plateau Grassland Ecosystem During 2001-2015[J]. Research of Soil and Water Conservation, 2019, 26(01): 76-81. [Google Scholar]
  8. Tian Zhi-hui, Zhang Dan-dan, He Xiao-hui, et al. Spatiotemporal Variations in Vegetation Net Primary Productivity and Their Driving Factors in Yellow River Basin from 2000 to 2015[J]. Research of Soil and Water Conservation, 2019, 26(02): 255-262. [Google Scholar]
  9. Yan Jun-jie, Liu Hai-jun, Zhao Yu, et al. Spatiotemporal Dynamics of Grassland Net Primary Productivity in Ili River Valley from 2000 to 2015[J]. Research of Soil and Water Conservation, 2018, 25(05): 390-396. [Google Scholar]
  10. Zhao Ting, Zhao Wei, Zhang Yi, et al. Dynamics of grassland net primary productivity and its relationship with climatic factors from 2001 to 2015 in northern China[J]. Jiangsu Agricultural Sciences, 2018, 46(10): 243-248. [Google Scholar]
  11. Gang Cheng-cheng, Wang Zhao-qi, Yang Yue, et al. The NPP spatiotemporal variation of global grassland ecosystems in response to climate change over the past 100 years[J]. Acta Prataculturae Sinica, 2016, 25(11): 1-14. [Google Scholar]
  12. Li Gang, Zhou Lei, Wang Dao-long, et al. Variation of net primary productivity of Grassland and its response to climate in Inner Mongolia[J]. Ecology and Environmental Sciences, 2008, 17(05): 1948-1955. [Google Scholar]
  13. Liu Jie, Meng Bao-ping, Ge Jing, et al. Spatio-temporal dynamic changes of grassland NPP in Gannan prefecture, as determined by the CASA model[J]. Acta Prataculturae Sinica, 2019, 28(06): 19-32. [Google Scholar]
  14. Huang Lu, Zhou Wei, Li Jia-hui, et al. Analysis on spatial-temporal dynamics of different types grassland NPP and its climate influencing factors in Inner Mongolia[J]. Grassland and Turf, 2019, 39(02): 1-9. [Google Scholar]
  15. Yang Han, Zhou Wei, Shi Pei-qi, et al. Analysis of Temporal-Spatial Variations of NPP and Coupling Relationship with Hydrothermal Factors in Grasslands of Inner Mongolia[J]. Research of Soil and Water Conservation, 2019, 26(02): 234-240. [Google Scholar]
  16. Zhou Ping, Wu Wei, Wang Rui, et al. Analysis of grassland simulation using different estimation models of grassland net primary productivity in China[J]. Pratacultural Science, 2018, 35(10): 2381-2388. [Google Scholar]
  17. Zhang Mei-ling, Chen Quan-gong, Yan Pei-jie. Spatio-temporal Distribution of Natural Grassland Net Primary Productivity in China[J]. Acta Agrestia Sinica, 2018, 26(05): 1124-1131. [Google Scholar]
  18. Jiang Rui-zhu, Li Xiu-qi, Zhu Yong-an, et al. Spatial-temporal variation of NPP and NDVI correlation in wetland of Yellow River Delta based on MODIS data[J]. Acta Ecologica Sinica, 2011, 31(22): 6708-6716. [Google Scholar]
  19. Steven W. Running Maosheng Zhao. User’s Guide Daily GPP and Annual NPP (MOD17A2/A3) Products NASA Earth Observing System MODIS Land Algorithm http://www.ntsg.umt.edu/files/modis/MOD17UsersGuide2015_v3.pdf [Google Scholar]
  20. Su Hui-min, Guo Hao, Xia Zhao-hua, et al. Dynamic Monitoring on Vegetation Coverage of Beijing Based on MODIS Data[J]. Soil and Water Conservation in China, 2019 (02): 41-43, 55. [Google Scholar]
  21. Han Wang-ya, Zhang Chao, Zeng Yuan, et al. Spatio-temporal changes and driving factors in the net primary productivity of Lhasa River Basin from 2000 to 2015[J]. Acta Ecologica Sinica, 2018, 38(24): 8787-8798. [Google Scholar]
  22. Lin Zhi-dong, Wu Guo-sheng. Spatial-temporal Changing Characteristics of NPP and NDVI Correlation in Junxi Valley, Datian County: A Study Based on MODIS [J]. Journal of Subtropical Resources and Environment, 2015, 10(01): 27-33. [Google Scholar]
  23. Li Su-ying, Chang Ying, Wang Xiu-mei, et al. Ecological Effect of Topography on Net Primary Productivity of the Typical Steppe[J]. Chinese Journal of Grassland, 2013, 35(02): 59-63. [Google Scholar]
  24. Zhang Yu-shun, Jia Wen-xiong, Liu Ya-rong, et al. [J]. Response of net primary productivity to climatic factors in Qilian Mountains in resent eleven years [J]. Arid Land Geography, 2016, 39(01): 77-85. [Google Scholar]
  25. Shi Xiao-liang, Yang Zhi-yong, Wang Xin-shuang, et al. Spatial and Temporal Variation of Net Primary Productivity and Its Relationship with Climate Factors in the Chinese Loess Plateau[J]. Chinese Journal of Agrometeorology, 2016, 37(04): 445-453. [Google Scholar]

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