Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Pengqin Tang"'
Autor:
Li Zhang, Wenbin Wu, Zhengguo Li, Pengqin Tang, Han Liu, Hao Chen, Zhenhuan Liu, Huajun Tang, Peng Yang, Jieyang Tan
Publikováno v:
Journal of Geographical Sciences. 26:3-14
Based on county-level crop statistics and other ancillary information, spatial distribution of maize in the major maize-growing areas (latitudes 39°–48°N) was modelled for the period 1980–2010 by using a cross-entropy-based spatial allocation m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3176c4be89804b1bdb4b41afb27ef922
https://doi.org/10.1007/s11442-016-1250-y
https://doi.org/10.1007/s11442-016-1250-y
Publikováno v:
Chinese Journal of Eco-Agriculture. 22:277-283
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::980dd785b94f00db2a229bb251e096d4
https://doi.org/10.3724/sp.j.1011.2014.30983
https://doi.org/10.3724/sp.j.1011.2014.30983
Autor:
Peng Yang, Zhengguo Li, Wenbin Wu, Huajun Tang, Zhipeng Li, Pengqin Tang, Zhenhuan Liu, Liangzhi You
Publikováno v:
Journal of Geographical Sciences. 23:1005-1018
Rice’s spatial-temporal distributions, which are critical for agricultural, environmental and food security research, are affected by natural conditions as well as socio-economic developments. Based on multi-source data, an effective model named th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72d747fbf70338e7b30e41f3edb84b6f
https://doi.org/10.1007/s11442-013-1059-x
https://doi.org/10.1007/s11442-013-1059-x
Autor:
Masahide Kimoto, Qiangyi Yu, Masaru Inatsu, Zhengguo Li, Peng Yang, Huajun Tang, Pengqin Tang, Zhenhuan Liu, Yan Zha, Wenbin Wu
Publikováno v:
Regional Environmental Change. 14:61-74
We studied the separate and interacting effects of changes on CO2, temperature, and precipitation on the growth and yield of winter wheat in five representative sites on the North China Plain using a crop yield simulation model, known as the Environm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e57f6f6135ec22a82efe2125e401f08b
https://doi.org/10.1007/s10113-013-0484-9
https://doi.org/10.1007/s10113-013-0484-9
Autor:
Haiqing Si, Liming Ye, Deying Wang, Yanmin Yao, Pengqin Tang, Eric Van Ranst, Wenjun Hu, Huajun Tang
Publikováno v:
Open Geosciences, Vol 7, Iss 1 (2015)
OPEN GEOSCIENCES
OPEN GEOSCIENCES
Soil organic matter (SOM) content is one of themost important indicators of soil quality and hence theproductive capacity of soils. Northeast China (NEC) is themost important region in grain production in China. Inthis study,we assessed the spatiotem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fafb5e63d05660f27cb1a5dce975d646
https://doi.org/10.1515/geo-2015-0034
https://doi.org/10.1515/geo-2015-0034
Autor:
Wenbin Wu, Li Zhang, Zhengguo Li, Peng Yang, Liangzhi You, Jieyang Tan, Pengqin Tang, Qiangyi Yu, Zhenhuan Liu
Publikováno v:
2014 The Third International Conference on Agro-Geoinformatics.
The spatial production allocation model (SPAM) is one of the broadest spatial models of crop distribution and applies a cross-entropy method to downscale the global area and yield for multiple crops in the years 2000 and 2005 with a resolution of 5 a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed0617f089c4b5c09cd602a8b5ff66e8
https://doi.org/10.1109/agro-geoinformatics.2014.6910588
https://doi.org/10.1109/agro-geoinformatics.2014.6910588
Autor:
Youqi Chen, Yingbin He, Deying Wang, Huajun Tang, Shikai Yu, Yanmin Yao, Pengqin Tang, Haiqing Si
Publikováno v:
2013 Second International Conference on Agro-Geoinformatics (Agro-Geoinformatics).
Soil organic matter (SOM) content is one of main factors influencing the CO2 exchange between cropland and atmosphere. Therefore, SOM spatial distribution change on cultivated land can have a profound effect on food production and climate change. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::461aa0056fb3a72b3780aa61176cf1cb
https://doi.org/10.1109/argo-geoinformatics.2013.6621958
https://doi.org/10.1109/argo-geoinformatics.2013.6621958
Publikováno v:
2012 First International Conference on Agro- Geoinformatics (Agro-Geoinformatics).
Rice is one of the staple grains in China and has a strong relationship with annual accumulation temperature which has a potential effect on rice planting area. This study utilizes a model called SPAM (Spatial Allocation Model) to detect the rice spa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2d23f84eaafcf3a3d040c3d1efefe00
https://doi.org/10.1109/agro-geoinformatics.2012.6311699
https://doi.org/10.1109/agro-geoinformatics.2012.6311699
Publikováno v:
2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring.
This study made an analysis of agricultural land use efficiency in APEC (Asia-Pacific Economic Cooperation) with an objective to find which member economy can produce at least the same amount of food production with less resources input. To do so, da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16ebca323854701a099ba287a3b0fbd7
https://doi.org/10.1109/cdciem.2011.565
https://doi.org/10.1109/cdciem.2011.565
Autor:
Liangzhi You, Wenbin Wu, Jieyang Tan, Zhenhuan Liu, Peng Yang, Li Zhang, Pengqin Tang, Zhengguo Li, Qiangyi Yu
Publikováno v:
Journal of Applied Remote Sensing. 8:085197
The spatial production allocation model (SPAM) is one of the broadest spatial models of crop distribution and applies a cross-entropy method to downscale the global area and yield for multiple crops in the years 2000 and 2005 with a resolution of 5 a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::053dcdba2ef93711e33219a92633bfe7
https://doi.org/10.1117/1.jrs.8.085197
https://doi.org/10.1117/1.jrs.8.085197