23 results on '"Zhu, Penghui"'
Search Results
2. Lightweight, mechanically robust and scalable cellulose-based foam enabled by organic-inorganic network and air drying
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Sun, Hao, Zhu, Hui, Zhu, Penghui, Yang, Pu, Yu, Zhengyang, Zheng, Dingyuan, Sun, Xia, Vo, Andrea, Bi, Xiaotao, Xu, Min, and Jiang, Feng
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- 2024
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3. Trophic level plays an enhanced role in shaping microbiota structure and assembly in lakes with decreased salinity on the Qinghai-Tibet and Inner Mongolia Plateaus
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Liu, Xing, Pan, Baozhu, Liu, Xinyuan, Han, Xu, Zhu, Penghui, Li, Gang, and Li, Dianbao
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- 2024
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4. Biocarbon with large specific surface area and tunable pore structure from binary molten salt templating for supercapacitor applications
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Yang, Pu, Zheng, Dingyuan, Zhu, Penghui, Jiang, Feng, and Bi, Xiaotao
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- 2023
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5. Hyper-concentration and low-sediment-concentration rivers: Ecosystem stability and driving forces
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Liu, Xinyuan, Pan, Baozhu, Zhao, Gengnan, Zhu, Penghui, and Wang, Hao
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- 2023
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6. Responses of biodiversity to microhabitat heterogeneity in debris flow gullies: Assessing the impact of hydrological disturbance
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Zhu, Penghui, Pan, Baozhu, Li, Zhiwei, He, Haoran, Hou, Yiming, and Zhao, Gengnan
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- 2023
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7. Air drying scalable production of hydrophobic, mechanically stable, and thermally insulating lignocellulosic foam
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Zhu, Yeling, Zhu, Jiaying, Yu, Zhengyang, Ye, Yuhang, Sun, Xia, Zhang, Yifan, Zhu, Penghui, and Jiang, Feng
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- 2022
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8. Electrostatic self-assembly enabled flexible paper-based humidity sensor with high sensitivity and superior durability
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Zhu, Penghui, Kuang, Yudi, Wei, Yuan, Li, Fang, Ou, Huajie, Jiang, Feng, and Chen, Gang
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- 2021
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9. Data assimilation of soil water flow via ensemble Kalman filter: Infusing soil moisture data at different scales
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Zhu, Penghui, Shi, Liangsheng, Zhu, Yan, Zhang, Qiuru, Huang, Kai, and Williams, Mathew
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- 2017
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10. Durable superhydrophobic paper enabled by surface sizing of starch-based composite films
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Chen, Gang, Zhu, Penghui, Kuang, Yudi, Liu, Yu, Lin, Donghan, Peng, Congxing, Wen, Zhicheng, and Fang, Zhiqiang
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- 2017
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11. Surface charge manipulation for improved humidity sensing of TEMPO-oxidized cellulose nanofibrils.
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Zhu, Jiaying, Zhu, Penghui, Zhu, Yeling, Ye, Yuhang, Sun, Xia, Zhang, Yifan, Rojas, Orlando J., Servati, Peyman, and Jiang, Feng
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CARRIER density , *SURFACE charges , *HUMIDITY , *CELLULOSE , *WATER leakage - Abstract
Cellulose-based humidity sensors have attracted great research interest due to their hydrophilicity, biodegradability, and low cost. However, they still suffer from relatively low humidity sensitivity. Due to the presence of negatively charged carboxylate groups, 2,2,6,6-tetramethylpiperidine-1-oxyl (TEMPO)-oxidized cellulose nanofibril (CNF) exhibits enhanced hydrophilicity and ion conductivity, which is considered a promising candidate for humidity sensing. In this work, we developed a facile strategy to improve the humidity sensitivity of CNF films by regulating their surface charge density. With the increase in surface charge density, both water uptake and charge carrier densities of the CNF films can be improved, enabling a humidity sensitivity of up to 44.5 % (%RH)−1, higher than that of most polymer-based humidity sensors reported in the literature. Meanwhile, the sensor also showed good linearity (R2 = 0.998) over the 15–75 % RH at 1 kHz. With these features, the CNF film was further demonstrated for applications in noncontact sensing, such as human respiration, moisture on fingertips, and water leakage, indicating the great potential of CNF film in humidity monitoring. A simple strategy for enhancing the humidity sensing performance of TEMPO-oxidized CNF film is proposed through the surface charge density modulation. The high surface charge density (1.45 mmol g−1) of CNF endows the sensor with increased water uptake and charge carrier densities, thus leading to improved humidity sensing performance. [Display omitted] [ABSTRACT FROM AUTHOR]
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- 2024
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12. A novel solid PEO/LLTO-nanowires polymer composite electrolyte for solid-state lithium-ion battery.
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Zhu, Lin, Zhu, Penghui, Fang, Qunxiang, Jing, Maoxiang, Shen, Xiangqian, and Yang, Lezhi
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SUPERIONIC conductors , *POLYELECTROLYTES , *ETHYLENE oxide , *LITHIUM-ion batteries - Abstract
Abstract In this study, fast ionic conductor Li 0.33 La 0.557 TiO 3 (LLTO) nanowires with high ionic conductivity were prepared through electrospinning and subsequent high temperature calcination. It was filled in the poly(ethylene oxide) (PEO) matrix as a filler and the novel solid PEO/LiTFSI/LLTO-nanowires polymer composite electrolytes were prepared via solution casting method with low cost. The results showed that the addition of LLTO nanowires could effectively improve the ionic conductivity, electrochemical stability window, transference number, and compatibility with lithium metal of polymer composite electrolytes. The maximum ionic conductivities of composite electrolytes filled with 5 wt% LLTO nanowires at room temperature and 60 °C were 5.53 × 10−5 S cm−1 and 3.63 × 10−4 S cm−1, respectively. Its electrochemical stability window was up to 4.75 V. The LiFePO 4 /Li solid-state lithium-ion battery assembled with the novel polymer composite electrolytes had good cycling stability. At current rate of 0.5 C, the discharge specific capacity remained about 123 mAh g−1 after 100 cycles at 60 °C. Highlights • LLTO nanowires with high ionic conductivity were prepared by electrospinning and subsequent high temperature calcination. • LLTO nanowires were filled into PEO based polymer electrolyte to improve the ionic conductivity of solid electrolytes. • The solid state lithium ion battery delivered good electrochemical performance. [ABSTRACT FROM AUTHOR]
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- 2018
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13. Debris flow weakens the ecological role of river microhabitat heterogeneity in mountainous regions.
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Zhu, Penghui, Pan, Baozhu, Li, Zhiwei, Zhao, Gengnan, and Liu, Xinyuan
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DEBRIS avalanches , *ECOLOGICAL niche , *RESTORATION ecology , *ECOSYSTEM health , *RIVER conservation , *STREAM restoration , *MASS-wasting (Geology) , *WATERSHEDS - Abstract
• The new quantification method of river microhabitat heterogeneity index was proposed. • River microhabitat heterogeneity can support macroinvertebrate species diversity well. • Debris flow weakens the ecological role of river microhabitat heterogeneity. • The best interval of river microhabitat heterogeneity index is ≥ 8.0 for protecting water ecology. Mountain rivers provide habitat or refuges and create migration corridors for diverse aquatic and riparian organisms. River microhabitat heterogeneity (RMH), which plays a key role in ecological restoration, is sensitive to external disturbances in mountain rivers. However, the effects of RMH, induced by hydro-geomorphological processes, on local macroinvertebrates have not been quantitatively studied. To explore the ecological significance of RMH, we proposed a new RMH index (RMHI) for quantitative evaluation of RMH and selected five debris flow-dominated mountain rivers (DMR) and five equilibrium sediment transport mountain rivers (EMR) as contrasting examples based on the richness of sediment supply. We found that RMH supported macroinvertebrate α-diversity and functional richness in both DMR and EMR, but debris flow weakened the ecological role of RMH in DMR. The proposed RMHI should be ≥ 8.0 to maintain the ecological health of mountain rivers. Besides, the macroinvertebrate communities were mainly driven by species turnover in EMR, while species turnover and nestedness were balanced in DMR. And macroinvertebrate community shift from an R-strategy to a K-strategy due to deposition and erosion. According to the research results, we put forward the following suggestions. At the watershed scale, ecological conservation of mountain rivers requires a regional approach focusing on multiple sites in EMR. Priority should be given to protect the river with high macroinvertebrate species richness and close attention needs to be paid to multiple sites of DMR. At the river scale, we can protect the biodiversity of mountain rivers by maintain RMHI above its threshold. [ABSTRACT FROM AUTHOR]
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- 2023
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14. Porous and conductive cellulose nanofiber/carbon nanotube foam as a humidity sensor with high sensitivity.
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Zhu, Penghui, Wei, Yuan, Kuang, Yudi, Qian, Yangyang, Liu, Yijun, Jiang, Feng, and Chen, Gang
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CARBON foams , *FOAM , *CARBON nanotubes , *HUMIDITY , *CELLULOSE , *DETECTORS - Abstract
In this study, we developed a humidity sensor with high sensitivity based on cellulose nanofiber/carbon nanotube (CNF/CNT) hybrid foam. The porous structure of the foam not only provides more contact interface for water molecules adsorption, but also tunes the conductivity of the CCF closed to the point where the sensor is most sensitive to the change in humidity. With this porous structural design, the obtained foam sensor shows a high humidity sensitivity of 87.3% (ΔI/I 0 , and the response limit is 100%), excellent linearity (R2 = 0.996) within the humidity range from 29 to 95% relative humidity (RH), and good long-time stability (more than two months). Furthermore, the water vapor adsorption behavior of the CNF/CNT foam sensor can be well described by the pseudo-first-order kinetic model. Finally, a simple humidity measuring device based on the CNF/CNT foam is presented, which can find good applications for human breath and fingertip humidity monitoring. [Display omitted] [ABSTRACT FROM AUTHOR]
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- 2022
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15. Responses of macroinvertebrate functional traits to riverbed structure of typical debris flow gullies in the upper reaches of the Yangtze River, China.
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Zhu, Penghui, Pan, Baozhu, Li, Zhiwei, Yuan, Jianping, Jiang, Xiaoming, Jiang, Wanxiang, and Lu, Yan
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Debris flow is a typical natural disaster in mountainous areas. Its occurrence has serious impacts on the ecological environment and the life, property safety of local people. The structure of mountain riverbed plays an important role in maintaining the ecological stability of debris flow gullies (DFGs) and improving the ecological condition. However, the effects of hydro-geomorphological processes induced by riverbed structure on local macroinvertebrates have not been well examined. A functional approach was applied to macroinvertebrate data collected in a field survey at sites with different riverbed structure to investigate the response of macroinvertebrate functional traits and environment factors to riverbed structure-induced processes. Riverbed structure was quantitatively calculated by concavity-convexity degree. The results showed that (a) Macroinvertebrates were mainly composed of individuals with the ability of avoiding risks and recovering quickly in DFGs. (b) The environmental factors affecting macroinvertebrates (i.e., average particle size, velocity, flow rate, water depth, and gradient) had a great relationship with riverbed structure. (c) Only 3 (trophic habit, attachment and drift) of the 10 benthic functional traits in the study area had a good correlation with riverbed structure. This study thus found that riverbed structure, as a complex of various environmental factors directly or indirectly affected the community structure and functional traits of macroinvertebrates in DFGs. Besides, it was more suitable for macroinvertebrates of different species to live, and more conducive to the maintenance of ecological stability when the concavity-convexity degree value was about 0.075. Because 5 environmental factors affecting macroinvertebrates were moderate when the degree of concavity was about 0.075. These results can provide scientific basis for ecological conservation and management in DFGs where eco-environment is very fragile. Unlabelled Image • Riverbed structure was calculated by concavity-convexity degree in five different debris flow gullies. • Five environment factorshave a great relationship with riverbed structure in debris flow gullies. • Only 3 (trophic habit, attachment and drift) function traits of macroinvertebrate had a good correlation with concavity-convexity degree in debris flow gullies. • It's more suitable for different species of macroinvertebrates to live, and more conducive to the maintenance of ecological stability when the concavity-convexity degree value is about 0.075. [ABSTRACT FROM AUTHOR]
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- 2020
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16. Interfacial electronic interaction regulation of Rh2P by combining N, P co-doped graphene for boosting hydrogen evolution reaction.
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Feng, Qi, He, Huimin, Sun, Yanbing, Sun, Lu, Zhu, Penghui, Huang, Gang, Meng, Fanyuan, Mo, Daize, Williams, Mark C., and Zhao, Jing
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OXYGEN evolution reactions , *HYDROGEN as fuel , *DOPING agents (Chemistry) , *GRAPHENE , *HYDROGEN production , *ENERGY development - Abstract
Hydrogen evolution reaction (HER) is a fundamental half reaction for electrolytic water splitting, which has an important effect on the efficiency of hydrogen production. Pt is considered as the best HER electrocatalyst but hindered by its high cost and scarcity. Developing highly active electrocatalyst for HER is quite significant for advancing the development of hydrogen energy technologies. Here, well-dispersed and ultrafine Rh 2 P nanoparticles are successfully embedded in N, P co-doped graphene (NPG) by a facile and environmental-friendly pyrolysis method, endowing the electrocatalyst to achieve superior HER electrochemical performance in both acid and alkaline electrolyte. Rh 2 P@NPG-150 shows a splendid HER activity with small overpotentials of 28.6 and 13.6 mV for arriving 10 mA cm−2 in acid and alkaline electrolyte, respectively, which surpass the catalytic activity of the commercial Pt/C. The Rh 2 P@NPG-150 also demonstrates a robust HER stability and its V-t curve holds quite stable under electrolysis at 20 and 50 mA cm−2 for 25 h in both acid and alkaline electrolyte. As revealed by density functional theory calculations and XPS characterizations, owing to the incorporation of P into Rh, the d band center of Rh 2 P moves up, resulting in decrease of the number of electrons filled in the antibonding orbital, thus facilitating the adsorption of hydrogen atoms. Moreover, the charge density difference of Rh 2 P@NPG further reveals that there is strong interfacial electron interaction between Rh 2 P and NPG, which optimizes the hydrogen binding energy (close to zero) and promotes its charge transfer during HER process. [ABSTRACT FROM AUTHOR]
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- 2024
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17. Effect of hornification on the isolation of anionic cellulose nanofibrils from Kraft pulp via maleic anhydride esterification.
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Zheng, Dingyuan, Sun, Xia, Sun, Hao, Zhu, Yeling, Zhu, Jiaying, Zhu, Penghui, Yu, Zhengyang, Ye, Yuhang, Zhang, Yanhua, and Jiang, Feng
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MALEIC anhydride , *SULFATE pulping process , *ESTERIFICATION , *CHEMICAL reagents , *CELLULOSE , *POLYESTERS - Abstract
Cellulose nanofibrils (CNF) isolation based on a catalyst-free maleic anhydride esterification has proven to be effective, however, the effects of pulp hornification on CNF isolation by this strategy have yet to be explored, which could present significant impacts for CNF isolation. Herein, dried northern bleached softwood Kraft pulp (D-NBSK) and never-dried northern bleached softwood Kraft pulp (ND-NBSK) were selected as the substrates. After esterification with maleic anhydride (MA), the esterified ND-NBSK pulp (E-ND) shows a significantly smaller size and more fragmented structure than the esterified D-NBSK pulp (E-D). Meanwhile, higher degree of esterification can be realized for the never dried pulp as compared to the dried pulp, which is corroborated by the significantly stronger characteristic peaks of C O (1720 cm−1) and -COO− (1575 cm−1) from the FTIR spectra and the higher surface charge content (0.86 ± 0.04 mmol/g vs. 0.55 ± 0.05 mmol/g). A comparison of the characteristics of the resulting CNF similarly demonstrated the negative impact of hornification. Overall, this work indicates that hornification tends to reduce the accessibility of chemical reagents to the pulp, leading to insufficient deconstruction. Such negative impact of hornification should be considered when performing nanocellulose isolation, especially when using pulp as feedstock. [Display omitted] [ABSTRACT FROM AUTHOR]
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- 2024
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18. Deep convolutional neural networks for rice grain yield estimation at the ripening stage using UAV-based remotely sensed images.
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Yang, Qi, Shi, Liangsheng, Han, Jinye, Zha, Yuanyuan, and Zhu, Penghui
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CONVOLUTIONAL neural networks , *GRAIN yields , *RICE yields , *CROP management , *ARTIFICIAL neural networks , *CROP yields , *AGRICULTURAL marketing - Abstract
Highlights • The ability of CNN to estimate rice grain yield using UAV images is investigated. • The correlation between VI and rice grain yield is low at the ripening stage. • The proposed CNN provides robust yield forecast throughout the ripening stage. • RGB images dominate the network training at the ripening stage of paddy rice. • A more robust network can be trained by RGB data from late stage. Abstract Forecasting rice grain yield prior to harvest is essential for crop management, food security evaluation, food trade, and policy-making. Many successful applications have been made in crop yield estimation using remotely sensed products, such as vegetation index (VI) from multispectral imagery. However, VI-based approaches are only suitable for estimating rice grain yield at the middle stage of growth but have limited capability at the ripening stage. In this study, an efficient convolutional neural network (CNN) architecture was proposed to learn the important features related to rice grain yield from low-altitude remotely sensed imagery. In one major region for rice cultivation of Southern China, a 160-hectare site with over 800 management units was chosen to investigate the ability of CNN in rice grain yield estimation. The datasets of RGB and multispectral images were obtained by a fixed-wing, unmanned aerial vehicle (UAV), which was mounted with a digital camera and multispectral sensors. The network was trained with different datasets and compared against the traditional vegetation index-based method. In addition, the temporal and spatial generality of the trained network was investigated. The results showed that the CNNs trained by RGB and multispectral datasets perform much better than VIs-based regression model for rice grain yield estimation at the ripening stage. The RGB imagery of very high spatial resolution contains important spatial features with respect to grain yield distribution, which can be learned by deep CNN. The results highlight the promising potential of deep convolutional neural networks for rice grain yield estimation with excellent spatial and temporal generality, and a wider time window of yield forecasting. [ABSTRACT FROM AUTHOR]
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- 2019
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19. Enhancing moisture resistance of starch-coated paper by improving the film forming capability of starch film.
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Lin, Donghan, Kuang, Yudi, Chen, Gang, Kuang, Qitong, Wang, Chengcheng, Zhu, Penghui, Peng, Congxin, and Fang, Zhiqiang
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PAPERMAKING , *STARCH synthase , *TENSILE tests , *POLYVINYL alcohol , *MOISTURE content of paper , *CORNSTARCH - Abstract
Starch-coated paper is widely used in packaging, printing, writing, and so on. However, achieving starch-coated paper with excellent moisture resistance remains a challenge for its end uses. To overcome this challenge, we hypothesize that the film-forming ability of starch plays a pivotal role in the moisture resistance of starch-coated paper. Polyvinyl alcohol (PVA) is used to enhance the film-forming capability of starch film and the moisture resistance of PVA/CS coated paper is evaluated in terms of moisture absorption, tensile index, and stiffness. A PVA/CS film with only a coating weight of 4.0 g/m 2 can fully cover the porous structure of paper that leads to a higher moisture resistance than CS-coated paper with a similar loading weight. However, as the coating weight continues to increase, the decline of the mechanical properties of PVA/CS coated paper is almost unchanged. Furthermore, the moisture resistance of PVA/CS coated paper (coating weight is larger than 4.0 g/m 2 ) is further improved by using glyoxal as moisture proof agent (MPA). Only 4.8% and 6.3% losses in the tensile index and stiffness at a coating weight of 4.0 g/m 2 are achieved before and after moisture treatment, respectively. These results may shed light on exploring new method to enhance moisture resistance of starch-coated paper. [ABSTRACT FROM AUTHOR]
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- 2017
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20. A comparative study on the indicative function of species and traits structure of stream macroinvertebrates to human disturbances.
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Jiang, Wanxiang, Pan, Baozhu, Jiang, Xiaoming, Shi, Peng, Zhu, Penghui, Zhang, Lei, Chen, Jing, and Wu, Naicheng
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ECOLOGICAL disturbances , *INVERTEBRATES , *WATERSHEDS , *SPECIES , *COMPARATIVE studies - Abstract
• Macroinvertebrate communities were investigated in ten mountainous streams. • Indicators were proved to be efficient in discriminating environmental gradients. • Trait-based metrics responded more readily to human disturbances. The selection of suitable indicators is the key to the development of multi-metric bioassessment. Here, we examined how taxonomic and functional structures of macroinvertebrate communities responded to the environmental gradients in ten mountainous streams in the Weihe River and Hanjiang River basins, two subtropical biodiversity hotspots in central China. Our main objectives were: 1) to examine whether trait-based metrics performed better than taxonomic compositions in differentiating environmental gradients; 2) to test whether indicators (species and traits) were more efficient than entire communities in discriminating three site groups subjected to different levels of human disturbances. Our results showed that both taxonomic and functional trait compositions, including species- and trait-based indicators, were all sensitive to environmental disturbance. Particularly, the trait-based variables responded more sensitive to human disturbances. Indicator assemblages can be effective surrogates of entire communities in response to environmental changes. Traits- and indicators-based metrics should be considered as useful supplements in the existent bio-monitoring schemes in China. We argued that the combination of taxonomic and functional indicators should be implemented in bioassessment, as they reflect different aspects of environmental changes and anthropogenic disturbances. [ABSTRACT FROM AUTHOR]
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- 2021
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21. Assembly processes and co-occurrence relationships in the bacterioplankton communities of a large river system.
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Sun, He, Pan, Baozhu, He, Haoran, Zhao, Gengnan, Hou, Yiming, and Zhu, Penghui
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WATERSHEDS , *BACTERIOPLANKTON , *WATER diversion , *STOCHASTIC processes , *SPECIES diversity - Abstract
[Display omitted] • Seasonal variations in bacterial community were more obvious than spatial variations. • Planktonic bacterial communities had stronger distance-decay patterns in spring. • Network of the mainstem had the lowest modularity. • Bacterial community was strongly affected by deterministic processes between seasons. • Stochastic processes dominated the bacterial community structure within seasons. The incoming water area of the Central Line Project of the South-to-North Water Diversion comprises the upper reaches of the Han River in China. Bacterioplankton are important members of river ecosystems. However, the mechanisms (deterministic or stochastic processes) regulating planktonic bacterial community structure in the upper Han River are not well understood. Herein, we documented the spatiotemporal patterns, assembly processes, and co-occurrence relationships of the planktonic bacterial communities in the Han River and its tributaries. Seasonal variations in bacterioplankton communities were clearly observed and were more obvious than spatial differences. The planktonic bacterial community showed a significant distance (dendritic distance) decay pattern during the two sampling periods, and the distance decay pattern was stronger in spring than in the other season. Network analysis showed that bacterial community networks displayed non-random co-occurrence patterns, and significant differences in the topological properties of empirical and random networks (average clustering coefficient, average path length, and average degree) were found. Compared to those of the tributaries, the network of the mainstem had the lowest modularity; this may be caused by the significant difference in biodiversity between the mainstem and the tributaries. Redundancy analysis revealed that pH exhibited significant effects on the planktonic bacterial community in both seasons. However, variation partitioning analysis showed that spatial factors (stochastic processes) contributed more to explaining community assembly than environmental factors during the two seasons. In addition, the neutral community model can also explain a large part of the community variation observed during the autumn and spring (R2 = 0.817 and 0.808, respectively). This study shows that seasonal variation in the bacterial community is greatly influenced by seasonal environmental variation. However, stochastic processes dominantly affect the structure of the bacterioplankton community within seasons. In order to effectively manage and protect microbial diversity, managers consider not only local species diversity, but also the effect of regional species dispersal. [ABSTRACT FROM AUTHOR]
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- 2021
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22. The role of environmental conditions, climatic factors and spatial processes in driving multiple facets of stream macroinvertebrate beta diversity in a climatically heterogeneous mountain region.
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Jiang, Xiaoming, Pan, Baozhu, Jiang, Wanxiang, Hou, Yiming, Yang, Haiqiang, Zhu, Penghui, and Heino, Jani
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ECOSYSTEM management , *AQUATIC biodiversity , *BIOTIC communities , *BIODIVERSITY conservation , *BIODIVERSITY , *GEODIVERSITY - Abstract
• We tested patterns of multi-faceted beta diversity across mountain streams. • All three facets of beta diversities increase from the north slope to south slope. • Spatial variables were most important in structuring three facets of beta diversity. • Functional and phylogenetic beta diversity complement to taxonomic beta diversity. • Combining multi-faceted biodiversity is essential for management and conservation. There is a growing recognition that examining patterns of ecological communities and their underlying determinants is not only feasible based on taxonomic data, but also functional and phylogenetic approaches. This is because these additional facets can enhance the understanding of the relative contribution of multiple processes in shaping biodiversity. However, few studies have focused on multifaceted beta diversities in lotic macroinvertebrates, especially when considering driving factors operating at multiple spatial scales. Here, we examined the spatial patterns of multi-faceted (i.e., taxonomic, functional and phylogenetic) beta diversity and their components (i.e., turnover and nestedness) of macroinvertebrates in 50 sites in 10 streams situated in the north and south slope of the Qinling Mountains, the geographical dividing line of Northern and Southern China. We found that the streams draining the north slope showed significantly lower values of beta diversity based on all three facets than the streams draining the south slope. Such north-to-south increases of beta diversity were caused by the distinct climatic and local environmental conditions between the sides of the mountain range. Moreover, spatial variables generally played the most important role in structuring all facets and components of beta diversity, followed by local environmental and climatic variables, whereas catchment variables were less important. Despite the similar results of relative contribution of explanatory variables on each beta diversity facet, the details of community-environment relationships (e.g., important explanatory variables and explanatory power) were distinct among different diversity facets and their components. In conclusion, measuring functional and phylogenetic beta diversity provides complementary information to traditional taxonomic approach. Therefore, an integrative approach embracing multiple facets of diversity can better reveal the mechanisms shaping biodiversity, which is essential in assessing and valuing aquatic ecosystems for biodiversity management and conservation. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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23. Determinants of bacterioplankton structures in the typically turbid Weihe River and its clear tributaries from the northern foot of the Qinling Mountains.
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He, Haoran, Pan, Baozhu, Yu, Ke, Zheng, Xing, Wu, Yang, Xiao, Lie, Zhao, Gengnan, and Zhu, Penghui
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BACTERIOPLANKTON , *MICROBIAL ecology , *BODIES of water , *WATERSHEDS , *ENVIRONMENTAL indicators , *RIVERS , *ENVIRONMENTAL monitoring - Abstract
• Bacterioplankton structures differed between the Weihe River and its tributaries. • Geographical and environmental factors had different influences in two habitats. • Chlorophyll a emerged as the major determinant in the turbid Weihe River. The Weihe River is the largest tributary of the typically sediment-laden Yellow River in China. Assuming that high sediment concentrations may increase the turbidity of water bodies, and therefore affect riverine ecosystem, in which the bacterioplankton are crucial components and serve as important indicators of environmental and ecological status through their structure and response to the environment change, it is essential to deep understanding the bacterioplankton structure and influencing factors in turbid and clear river ecosystems. Here, high-throughput sequencing was used to analyze the differences in bacterioplankton structure and major determinants in the typically turbid Weihe River and its clear tributaries from the northern foot of the Qinling Mountains from October to November 2017 and April to May 2018. The results demonstrated that bacterioplankton communities shared similar dominant subcommunities in the Weihe River mainstem and its tributaries, mainly consisting of Proteobacteria and Bacteroidetes phyla and Flavobacterium and Acinetobacter genera. The Faith phylogenetic diversity (PD) index was significantly higher in the turbid mainstem than in the tributaries and was related to turbidity (Turb). Variation partitioning analysis (VPA) showed that geographical distance exhibited notable influences on the community composition in the mainstem; however, the communities in the tributaries had a much stronger response to local environmental factors. Bacteria exhibited a significant distance-decay relationship in the mainstem, whereas geographical distance was not correlated with community dissimilarities in the tributaries. Chlorophyll a emerged as the major determinant of the bacterioplankton structure in the turbid Weihe River, indicating the importance of phytoplankton-bacterioplankton relationships in the turbid river system. These results provide important insights into future research on microbial ecology, environmental monitoring and classified management in diverse river systems. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
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