Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jingchun Fang"'
Autor:
Jingchun Fang, Baozhang Chen, Fei Wang, Weibin Li, Huifang Zhang, Junjun Fang, Shuan Liu, Zichen Zheng, Man Guo, Shuli Niu
Publikováno v:
Plants, People, Planet, Vol 6, Iss 6, Pp 1329-1340 (2024)
Societal Impact Statement Nitrogen, phosphorus, and potassium are essential elements for plant growth and are the primary nutrients in commercial fertilizers. However, the extent to which these nutrients individually limit plant growth is still uncle
Externí odkaz:
https://doaj.org/article/c753d7a21f0748278f5cb1a875026a1e
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-16 (2024)
Abstract Large datasets of carbon dioxide, energy, and water fluxes were measured with the eddy-covariance (EC) technique, such as FLUXNET2015. These datasets are widely used to validate remote-sensing products and benchmark models. One of the major
Externí odkaz:
https://doaj.org/article/d8fe8902ebea44d4bc716a4d1783a550
Publikováno v:
Ecological Informatics, Vol 82, Iss , Pp 102785- (2024)
Detailed sowing and harvesting (S&H) information is crucial for climate-coupled crop models to accurately simulate dynamic crop growth. The timing of intra-annual crop growth not only reflects adaptation to climate change but also significantly influ
Externí odkaz:
https://doaj.org/article/7f1ede4073fd4f2fa33cf01345c28c3a
Autor:
Yaqin Peng, Yue Liu, Xuegao Yu, Jingchun Fang, Zhaowang Guo, Kang Liao, Peisong Chen, Penghao Guo
Publikováno v:
Emerging Microbes and Infections, Vol 13, Iss 1 (2024)
ABSTRACTCandida auris is an emerging multidrug-resistant fungal pathogen worldwide. To date, it has not been reported in Guangdong, China. For the first time, we reported 7 cases of C. auris candidemia from two hospitals in Guangdong. The clinical an
Externí odkaz:
https://doaj.org/article/f9947f5851894873a4030e19d80cfd65
Publikováno v:
Heliyon, Vol 10, Iss 6, Pp e27549- (2024)
Land surface models (LSMs) have prominent advantages for exploring the best agricultural practices in terms of both economic and environmental benefits with regard to different climate scenarios. However, their applications to optimizing fertilizatio
Externí odkaz:
https://doaj.org/article/cbc6152ce5fc4cbcb2b11f161d814a63
Publikováno v:
Atmosphere, Vol 12, Iss 7, p 860 (2021)
Fine particulate matter (PM2.5) has a serious impact on human health. Forecasting PM2.5 levels and analyzing the pollution sources of PM2.5 are of great significance. In this study, the Lagrangian particle dispersion (LPD) model was developed by comb
Externí odkaz:
https://doaj.org/article/c8503b8b12cc4eaf93dbef583505ebd6
Publikováno v:
Atmosphere, Vol 12, Iss 860, p 860 (2021)
Atmosphere
Volume 12
Issue 7
Atmosphere
Volume 12
Issue 7
Fine particulate matter (PM2.5) has a serious impact on human health. Forecasting PM2.5 levels and analyzing the pollution sources of PM2.5 are of great significance. In this study, the Lagrangian particle dispersion (LPD) model was developed by comb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e68408e9028ec02656dae44051f6fe38
https://www.mdpi.com/2073-4433/12/7/860
https://www.mdpi.com/2073-4433/12/7/860