Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Wenli Long"'
Publikováno v:
PLoS ONE, Vol 11, Iss 3, p e0151131 (2016)
Soil cadmium (Cd) contamination has attracted a great deal of attention because of its detrimental effects on animals and humans. This study aimed to develop and compare the performances of stepwise linear regression (SLR), classification and regress
Externí odkaz:
https://doaj.org/article/d56703d1b41c4d87a8a0e83b8191fca8
Publikováno v:
The Scientific World Journal, Vol 2013 (2013)
Terrain plays a critical role in the selection of cropland. As a physical and geographical element of the landscape, terrain is an important limiting factor in land use change and has a strong influence on human activities. The objectives of this stu
Externí odkaz:
https://doaj.org/article/8df5d65037c84679add6d945a7e35ac5
Autor:
Yu Zhan, Xiaonan Lv, Xiaojia Chen, Minghua Zhang, Xunfei Deng, Wanzhu Ma, Michael L. Grieneisen, Wenli Long, Zhouqiao Ren, Zhihua Ni
Publikováno v:
Agriculture, Ecosystems & Environment. 254:213-223
Soil organic carbon (SOC) is important to soil fertility and the global carbon cycle. Accurate estimates of SOC stock and its dynamics are critical for managing agricultural ecosystems and carbon accounting under climate change, especially for highly
Autor:
Zhouqiao Ren, Yu Zhan, Xiaonan Lv, Fangjin Qin, Wanzhu Ma, Fei Wang, Wenli Long, Zhenling Zhu, Xunfei Deng, Xiaojia Chen
Publikováno v:
Science of The Total Environment. 565:539-546
Land reclamation has been highly intensive in China, resulting in a large amount of soil organic carbon (SOC) loss to the atmosphere. Evaluating the factors which drive SOC dynamics and carbon sequestration potential in reclaimed land is critical for
Publikováno v:
PLoS ONE
PLoS ONE, Vol 11, Iss 3, p e0151131 (2016)
PLoS ONE, Vol 11, Iss 3, p e0151131 (2016)
Soil cadmium (Cd) contamination has attracted a great deal of attention because of its detrimental effects on animals and humans. This study aimed to develop and compare the performances of stepwise linear regression (SLR), classification and regress