scholarly journals Soil microbial remediation to soybean field of Northeast China: Dynamic changes of fomesafen residues and phospholipid fatty acids in the black soil after application of Shigella flexneri FB5

Author(s):  
Fengshan Yang ◽  
Cong Sun ◽  
Yang Lai ◽  
Yukun Ma ◽  
Haiyan Fu ◽  
...  
2016 ◽  
Vol 155 ◽  
pp. 421-428 ◽  
Author(s):  
Bingjie Sun ◽  
Shuxia Jia ◽  
Shixiu Zhang ◽  
Neil B. McLaughlin ◽  
Xiaoping Zhang ◽  
...  

2017 ◽  
Vol 37 (23) ◽  
Author(s):  
蓝丽英 LAN Liying ◽  
寥蓉 LIAO Rong ◽  
杨万勤 YANG Wanqin ◽  
吴福忠 WU Fuzhong ◽  
杨帆 YANG Fan ◽  
...  

2017 ◽  
Vol 121 ◽  
pp. 214-222 ◽  
Author(s):  
Wei Yang ◽  
Yuting Guo ◽  
Xiaochun Wang ◽  
Cheng Chen ◽  
Yu Hu ◽  
...  

2011 ◽  
Vol 31 (4) ◽  
pp. 719-731 ◽  
Author(s):  
Marion Mehring ◽  
Bruno Glaser ◽  
Plinio Barbosa de Camargo ◽  
Wolfgang Zech

2021 ◽  
Vol 10 (5) ◽  
pp. 348
Author(s):  
Zhenbo Du ◽  
Bingbo Gao ◽  
Cong Ou ◽  
Zhenrong Du ◽  
Jianyu Yang ◽  
...  

Black soil is fertile, abundant with organic matter (OM) and is exceptional for farming. The black soil zone in northeast China is the third-largest black soil zone globally and produces a quarter of China’s commodity grain. However, the soil organic matter (SOM) in this zone is declining, and the quality of cultivated land is falling off rapidly due to overexploitation and unsustainable management practices. To help develop an integrated protection strategy for black soil, this study aimed to identify the primary factors contributing to SOM degradation. The geographic detector, which can detect both linear and nonlinear relationships and the interactions based on spatial heterogeneous patterns, was used to quantitatively analyze the natural and anthropogenic factors affecting SOM concentration in northeast China. In descending order, the nine factors affecting SOM are temperature, gross domestic product (GDP), elevation, population, soil type, precipitation, soil erosion, land use, and geomorphology. The influence of all factors is significant, and the interaction of any two factors enhances their impact. The SOM concentration decreases with increased temperature, population, soil erosion, elevation and terrain undulation. SOM rises with increased precipitation, initially decreases with increasing GDP but then increases, and varies by soil type and land use. Conclusions about detailed impacts are presented in this paper. For example, wind erosion has a more significant effect than water erosion, and irrigated land has a lower SOM content than dry land. Based on the study results, protection measures, including conservation tillage, farmland shelterbelts, cross-slope ridges, terraces, and rainfed farming are recommended. The conversion of high-quality farmland to non-farm uses should be prohibited.


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