Wenjie Wang

Dr. Wenjie Wang

Northeast Forestry University, Harbin, Heilongjiang, China
+2
orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 April 2011 in Global Change Biology
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Wenjie WangWenjie Wang
Wenjie Wang
QLQiu Ling
Qiu Ling
ZYZU Yuan-Gang
ZU Yuan-Gang
SDSu Dong-Xue
Su Dong-Xue
AJAn Jing
An Jing
CXChen Xi-Quan
Chen Xi-Quan

11 October 2017 in Scientific Reports
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Wenjie WangWenjie Wang
Wenjie Wang
ZZZhaoliang Zhong
Zhaoliang Zhong
QWQiong Wang
Qiong Wang
HWHumei Wang
Humei Wang
YFYujie Fu
Yujie Fu
XHXingyuan He
Xingyuan He
Despite vital importance in soil conditioning and a proxy for arbuscular mycorrhizal (AMF), glomalin-related soil protein (GRSP) contribution to soil carbon and nutrients at vertical soil profiles and underlying mechanism were not well-defined yet. Thus, 360 soil samples were collected from 72 farmland 1-m soil profiles in northeastern China, and soil physiochemical properties, nutrients, glomalin characteristics, local climates were determined. Linear decreases of glomalin amounts were observed from the top to deep soils, and glomalin/SOC (glomalin ratio to total SOC) in the 80–100 cm soil (EEG, easily-extracted GRSP, 2.2%; TG, total GRSP, 19%) was 1.34–1.5-fold higher than did in the 0–20 cm soil. Different statistical analyses crosschecked that the lower pH and higher SOC usually accompanied with the higher EEG and TG, while EEG was more sensitive to climates; Moreover, glomalin was more physiochemical-regulated in the deep soils, but more nutrient-regulation was found in the surface soils. Structure Equation Model showed that soil depths and climates indirectly affected TG and EEG features through soil properties, except significant direct effects on EEG. In future, glomalin assessment should fully consider these for identifying the AMF importance in the whole 1-m profile, and our findings also favor degrade soil improvement from glomalin rehabilitation.

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GZGe Zu
Ge Zu
RZRongrui Zhang
Rongrui Zhang
YLYang Lei
Yang Lei
CMChunhui Ma
Chunhui Ma
ZYZu Yuan-Gang
Zu Yuan-Gang
Chunjian ZhaoChunjian Zhao
Chunjian Zhao
Ionic liquid based, ultrasound-assisted extraction was successfully applied to the extraction of phenolcarboxylic acids, carnosic acid and rosmarinic acid, from Rosmarinus officinalis. Eight ionic liquids, with different cations and anions, were investigated in this work and [C8mim]Br was selected as the optimal solvent. Ultrasound extraction parameters, including soaking time, solid–liquid ratio, ultrasound power and time, and the number of extraction cycles, were discussed by single factor experiments and the main influence factors were optimized by response surface methodology. The proposed approach was demonstrated as having higher efficiency, shorter extraction time and as a new alternative for the extraction of carnosic acid and rosmarinic acid from R. officinalis compared with traditional reference extraction methods. Ionic liquids are considered to be green solvents, in the ultrasound-assisted extraction of key chemicals from medicinal plants, and show great potential.

16 December 2022 in International Journal of Biological Macromolecules
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CYCholil Yun
Cholil Yun
XJXiaochao Ji
Xiaochao Ji
YCYuwen Chen
Yuwen Chen
ZZZhuowen Zhao
Zhuowen Zhao
YGYuan Gao
Yuan Gao
Huimei WangHuimei Wang
Huimei Wang

23 September 2010 in Plant and Soil
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Wenjie WangWenjie Wang
Wenjie Wang
HHHai-Sheng He
Hai-Sheng He
YZYuan-Gang Zu
Yuan-Gang Zu
YGYu Guan
Yu Guan
ZLZhi-Guo Liu
Zhi-Guo Liu
XYXing-Yang Yu
Xing-Yang Yu

5 March 2014 in Ecology and Evolution
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HWHui‐Mei Wang
Hui‐Mei Wang
Wenjie WangWenjie Wang
Wenjie Wang
HCHuanfeng Chen
Huanfeng Chen
ZZZhonghua Zhang
Zhonghua Zhang
ZMZijun Mao
Zijun Mao
YZYuan‐Gang Zu
Yuan‐Gang Zu
Soil physic‐chemical properties differ at different depths; however, differences in afforestation‐induced temporal changes at different soil depths are seldom reported. By examining 19 parameters, the temporal changes and their interactions with soil depth in a large chronosequence dataset (159 plots; 636 profiles; 2544 samples) of larch plantations were checked by multivariate analysis of covariance (MANCOVA). No linear temporal changes were found in 9 parameters (N, K, N:P, available forms of N, P, K and ratios of N: available N, P: available P and K: available K), while marked linear changes were found in the rest 10 parameters. Four of them showed divergent temporal changes between surface and deep soils. At surface soils, changing rates were 262.1 g·kg−1·year−1 for SOM, 438.9 mg·g−1·year−1 for C:P, 5.3 mg·g−1·year−1 for C:K, and −3.23 mg·cm−3·year−1 for bulk density, while contrary tendencies were found in deeper soils. These divergences resulted in much moderated or no changes in the overall 80‐cm soil profile. The other six parameters showed significant temporal changes for overall 0–80‐cm soil profile (P: −4.10 mg·kg−1·year−1; pH: −0.0061 unit·year−1; C:N: 167.1 mg·g−1·year−1; K:P: 371.5 mg·g−1 year−1; N:K: −0.242 mg·g−1·year−1; EC: 0.169 μS·cm−1·year−1), but without significant differences at different soil depths (P > 0.05). Our findings highlight the importance of deep soils in studying physic‐chemical changes of soil properties, and the temporal changes occurred in both surface and deep soils should be fully considered for forest management and soil nutrient balance.