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| 1 | Observation analysis on characteristics of formation,evolution and transition of a long-lasting severe fog and haze episode in North China显示文摘An unusual fog and haze event lasted for one week took place during 1–7 December,2011 over North China.To investigate the characteristics and mechanism of formation,evolution,and transition of the fog and haze event,we studied the microphysical properties such as aerosol,cloud condensation nuclei(CCN),fog droplet spectrum and liquid water content(LWC),as well as horizontal visibility and boundary layer properties,using the data collected in the Project of Low-Visibility Weather Monitoring and Forecasting in the Beijing-Tianjin region.The results indicate that the long-lasting fog and haze event occurred in a high pressure weather system and calm wind condition.The stable boundary-layer structure resulted from temperature inversions that were built by warm advection and radiation cooling provided a favorable condition for the accumulation of polluted aerosols and the formation and development of the fog and haze event.In particular,the continuous southerly wet flow advection made the process a persistent and long-lasting event.The horizontal visibility was almost below 2 km in the whole process,and the lowest visibility was only 56 m.The average LWC was about 10-3 g m-3,and the maximum LWC reached 0.16 g m-3.The aerosol number concentration was more than 10000 cm-3,and its mass concentration ranged from 50 to 160 -g m-3.The further study shows that the fog and haze event experienced three main processes in different intensities during the whole period,each process could be divided into three main stages:aerosol accumulation,transition and mixture of aerosol and fog,and dissipation.Each stage had different physical features:the aerosol accumulation stage was characterized by the increase of aerosol number concentration in Aitken nuclei and accumulation mode sequentially.In the transition and mixing stage of fog and haze,the latent heating produced by fog droplet condensation process and high aerosol number concentration condition intensified the Brownian coagulation process,which induced the small size of aerosols to become larger ones and enhanced the CCN activation process,thereby promoting the explosive development of the fog event.The ratio of aerosol activated to CCN reached 17%,and the ratio of CCN converted to fog droplet exceeded 100%,showing an explosively broadening of fog droplet spectrum.The decrease and dissipation of the fog was caused by an increased solar radiation heating or the passage of cold frontal system. | GUO LiJun GUO XueLiang FANG ChunGang ZHU ShiChao | 2015 | Science China Earth Sciences2015，58，3： | 22 |
| 2 | Application of deep learning in ecological resource research:Theories, methods, and challenges显示文摘Ecological resources are an important material foundation for the survival,development,and self-realization of human beings.In-depth and comprehensive research and understanding of ecological resources are beneficial for the sustainable development of human society.Advances in observation technology have improved the ability to acquire long-term,cross-scale,massive,heterogeneous,and multi-source data.Ecological resource research is entering a new era driven by big data.Traditional statistical learning and machine learning algorithms have problems with saturation in dealing with big data.Deep learning is a method for automatically extracting complex high-dimensional nonlinear features,which is increasingly used for scientific and industrial data processing because of its ability to avoid saturation with big data.To promote the application of deep learning in the field of ecological resource research,here,we first introduce the relationship between deep learning theory and research on ecological resources,common tools,and datasets.Second,applications of deep learning in classification and recognition,detection and localization,semantic segmentation,instance segmentation,and graph neural network in typical spatial discrete data are presented through three cases:species classification,crop breeding,and vegetation mapping.Finally,challenges and opportunities for the application of deep learning in ecological resource research in the era of big data are summarized by considering the characteristics of ecological resource data and the development status of deep learning.It is anticipated that the cooperation and training of cross-disciplinary talents may promote the standardization and sharing of ecological resource data,improve the universality and interpretability of algorithms,and enrich applications with the development of hardware. | Qinghua GUO Shichao JIN Min LI Qiuli YANG Kexin XU Yuanzhen JU Jing ZHANG Jing XUAN Jin LIU Yanjun SU Qiang XU Yu LIU | 2020 | Science China Earth Sciences2020，63，10： | 7 |
| 3 | Field test of HTS receivers on CDMA demonstration cluster in China显示文摘This paper presents the field test of our first demonstration cluster with five base stations (BTS) on code division multiple access (CDMA) wireless communication in China, while each BTS was installed with a high temperature superconductor (HTS) receiver. The HTS receivers have the same centre frequency of 830 MHz, a bandwidth of 13 MHz, and a noise figure (NF) of 0.9 dB. After the conventional receivers in the BTSs were replaced by the HTS receivers, a consequent drive test was carried out. A 2.35 dB decrease of the mean mobile transmit power was observed in the demonstration cluster. | WEI Bin GUO XuBo PIAO YunLong JIN ShiChao ZHANG XiaoPing GAO LongMa PENG HuiLi YIN ZheSheng CAO BiSong | 2009 | Chinese Science Bulletin2009，54，4： | 7 |
| 4 | Exploring Seasonal and Circadian Rhythms in Structural Traits of Field Maize from LiDAR Time Series显示文摘Plant growth rhythm in structural traits is important for better understanding plant response to the ever-changing environment.Terrestrial laser scanning(TLS)is a well-suited tool to study structural rhythm under field conditions.Recent studies have used TLS to describe the structural rhythm of trees,but no consistent patterns have been drawn.Meanwhile,whether TLS can capture structural rhythm in crops is unclear.Here,we aim to explore the seasonal and circadian rhythms in maize structural traits at both the plant and leaf levels from time-series TLS.The seasonal rhythm was studied using TLS data collected at four key growth periods,including jointing,bell-mouthed,heading,and maturity periods.Circadian rhythms were explored by using TLS data acquired around every 2 hours in a whole day under standard and cold stress conditions.Results showed that TLS can quantify the seasonal and circadian rhythm in structural traits at both plant and leaf levels.(1)Leaf inclination angle decreased significantly between the jointing stage and bell-mouthed stage.Leaf azimuth was stable after the jointing stage.(2)Some individual-level structural rhythms(e.g.,azimuth and projected leaf area/PLA)were consistent with leaf-level structural rhythms.(3)The circadian rhythms of some traits(e.g.,PLA)were not consistent under standard and cold stress conditions.(4)Environmental factors showed better correlations with leaf traits under cold stress than standard conditions.Temperature was the most important factor that significantly correlated with all leaf traits except leaf azimuth.This study highlights the potential of time-series TLS in studying outdoor agricultural chronobiology. | Shichao Jin Yanjun Su Yongguang Zhang Shilin Song Qing Li Zhonghua Liu Qin Ma Yan Ge LingLi Liu Yanfeng Ding Frédéric Baret Qinghua Guo | 2021 | Plant Phenomics2021，3，1： | 5 |
| 5 | Tailoring active color rendering and multiband photodetection in a vanadium-dioxide-based metamaterial absorber显示文摘Metamaterials have demonstrated exotic electromagnetic properties, which offer a good platform for realizing light absorption, photodetection, filtering, and so on. However, broadband multifunctional metamaterial absorbers are restricted in cascaded structures. Here, broadband multifunctional properties were realized by introducing vanadium dioxide into a metamaterial absorber. Through the modified design and highly efficient utilization of multiple resonant modes, both plasmonic tunable color filters and near-infrared photodetectors can be simultaneously achieved by this construction. Meanwhile, active color and a photodetection band in the near-infrared range can become tunable with the insulating–metallic transition of vanadium dioxide. Thus, the variations of rendering colors could correspondingly indicate shifts of the near-infrared photodetection bands. This method theoretically confirms the feasibility of designing multifunctional devices via a vanadium-dioxide-based metamaterial absorber, which holds great promise for future versatile utilization of multiple physical mechanisms to achieve numerous functionalities in a simple nanostructure or device. | SHICHAO SONG XIAOLIANG MA MINGBO PU XIONG LI YINGHUI GUO PING GAO XIANGANG LUO | 2018 | Photonics Research2018，6，6： | 4 |
| 6 | Solid-state lithium batteries: Safety and prospects显示文摘Solid-state lithium batteries are flourishing due to their excellent potential energy density.Substantial efforts have been made to improve their electrochemical performance by increasing the conductivity of solid-state electrolytes(SEs)and designing a compatible battery configuration.The safety of a solid lithium battery has generally been taken for granted due to the nonflammability and strength of SEs.However,recent results have shown the release of dangerous gases and intense heat due to the formation of lithium dendrites,indicating the safety of solid-state lithium batteries may have been overestimated.In this review,we introduce a safety evaluation methodology,then focus on the garnet Li_(7)La_(3)Zr_(2)O_(12)(LLZO)and sulfide-based SEs,summarizing their structure,conductivity,compatibility with a lithium metal anode,electrochemical/chemical stability,and mechanical/thermal stability,which correlate closely with battery safety.We also evaluate the safety of all-solid-state lithium batteries,then conclude by discussing future avenues for improving the safety of SE-based batteries. | Yong Guo Shichao Wu Yan-Bing He Feiyu Kang Liquan Chen Hong Li Quan-Hong Yang | 2022 | eScience2022，2，2： | 4 |
| 7 | Measurement and correlation of solubility of meropenem trihydrate in binary(water+acetone/tetrahydrofuran) solvent mixtures显示文摘The solubility of meropenem trihydrate in water+acetone mixtures and water+tetrahydrofuran mixtures were determined from T=(278.15 to 303.15) K by static method under atmospheric pressure.Effects of solvent composition and temperature on solubility of meropenem trihydrate were discussed.To extend the applicability of the solubility data,experimental solubility data in two kinds of binary solvent mixtures were correlated by the Apelblat equation and NIBS/Redlich–Kister model.It was found that the two models could satisfactorily correlate the experimental data and the Apelblat equation could give better correlation results. | Lina Zhou Shichao Du Ting Wang Songgu Wu Zhiqiang Guo Zhao Wang Ling Zhou | 2017 | Chinese Journal of Chemical Engineering2017，25，10： | 2 |
| 8 | Evidence for a Dirac nodal-line semimetal in SrAs_3显示文摘Dirac nodal-line semimetals with the linear bands crossing along a line or loop, represent a new topological state of matter. Here, by carrying out magnetotransport measurements and performing first-principle calculations, we demonstrate that such a state has been realized in high-quality single crystals of SrAs_3.We obtain the nontrivial ∏ Berry phase by analysing the Shubnikov-de Haas quantum oscillations. We also observe a robust negative longitudinal magnetoresistance induced by the chiral anomaly.Accompanying first-principles calculations identifies that a single hole pocket enclosing the loop nodes is responsible for these observations. | Shichao Li Zhaopeng Guo Dongzhi Fu Xing-Chen Pan Jinghui Wang Kejing Ran Song Bao Zhen Ma Zhengwei Cai Rui Wang Rui Yu Jian Sun Fengqi Song Jinsheng Wen | 2018 | Science Bulletin2018，63，9： | 2 |
| 9 | Pressureless crystallization of glass toward scintillating composite with high crystallinity for radiation detection显示文摘The construction of scintillating ceramics is of great technological importance for various fundamental applications, including medical diagnostic, security inspection, resource exploration and particle physics. The chief challenge is the facile and scalable synthesis of scintillating ceramics with the desirable combination of pore-free, reliable mechanical properties and excellent scintillating performance. Here we present a pressureless glass crystallization strategy for the construction of scintillating composite with high crystallinity. The fabricated scintillating composites are featured by small optical turbidity, excellent mechanical properties, and efficient scintillating luminescence with the scintillating light yield of 15,000 pH/MeV and about 2.46 times higher than that of the commercial BGO single crystal. Moreover, the scintillating composite derived radiation detector device is successfully elaborated. The practical application for monitoring gamma ray is demonstrated and the precision of the device is less than that of the tolerable deviation of 30%. Our results suggest an innovative approach for expanding the category of scintillating material candidates, pointing to practical application in the field of radiation detection. | Junzhou Tang Shichao Lv Ziyu Lin Guanxin Du Manyun Tang Xu Feng Junpeng Guo Xiang Li Junfeng Chen Lei Wei Jianrong Qiu Shifeng Zhou | 2022 | Journal of Materials Science & Technology2022，，34： | 2 |
| 10 | Deciphering the contributions of spectral and structural data to wheat yield estimation from proximal sensing显示文摘Accurate, efficient, and timely yield estimation is critical for crop variety breeding and management optimization. However, the contributions of proximal sensing data characteristics(spectral, temporal, and spatial) to yield estimation have not been systematically evaluated. We collected long-term, hypertemporal, and large-volume light detection and ranging(Li DAR) and multispectral data to(i) identify the best machine learning method and prediction stage for wheat yield estimation,(ii) characterize the contribution of multisource data fusion and the dynamic importance of structural and spectral traits to yield estimation, and(iii) elucidate the contribution of time-series data fusion and 3 D spatial information to yield estimation. Wheat yield could be accurately(R^(2)= 0.891) and timely(approximately-two months before harvest) estimated from fused Li DAR and multispectral data. The artificial neural network model and the flowering stage were always the best method and prediction stage, respectively. Spectral traits(such as CIgreen) dominated yield estimation, especially in the early stage, whereas the contribution of structural traits(such as height) was more stable in the late stage. Fusing spectral and structural traits increased estimation accuracy at all growth stages. Better yield estimation was realized from traits derived from complete 3 D points than from canopy surface points and from integrated multi-stage(especially from jointing to heading and flowering stages) data than from single-stage data. We suggest that this study offers a novel perspective on deciphering the contributions of spectral, structural, and timeseries information to wheat yield estimation and can guide accurate, efficient, and timely estimation of wheat yield. | Qing Li Shichao Jin Jingrong Zang Xiao Wang Zhuangzhuang Sun Ziyu Li Shan Xu Qin Ma Yanjun Su Qinghua Guo Dong Jiang | 2022 | The Crop Journal2022，10，5： | 2 |
| 11 | Deregulated expression and subcellular localization of CPSF6,a circRNA-binding protein,promote malignant development of esophageal squamous cell carcinoma显示文摘Objective:Cleavage and polyadenylation specific factor 6(CPSF6)has been documented as an oncoprotein in different types of cancer.However,functions of CPSF6 have not been investigated yet in esophageal squamous cell carcinoma(ESCC).Here,we aimed to investigate the potential clinical values and biological functions of CPSF6 in ESCC.Methods:For determining the expression level of CPSF6 in ESCC patients,we analyzed published data,performed quantitative real-time polymerase chain reaction(RT-qPCR)and immunohistochemistry assays.Kaplan-Meier curves and log-rank tests were used for survival analyses.GO and KEGG analyses were done for CPSF6-related genes.Cell proliferation,colony formation and xenograft assays were conducted to verify the effects of CPSF6 on ESCC.In addition,cell cycle and apoptosis assays were also performed to manifest the functions of CPSF6 and circCPSF6.RNA pulldown and radioimmunoprecipitation(RIP)assays were used for confirming the interaction between circCPSF6(hsa_circ_0000417)and CPSF6 protein.The regulatory relationship between CPSF6 protein and circCPSF6 was determined by RT-qPCR.Results:We found that CPSF6 was upregulated in ESCC tissues and overexpression of cytoplasmic CPSF6 was associated with poor prognosis.GO and KEGG analyses suggested that CPSF6 could mainly affect cell division in ESCC.Further experiments manifested that CPSF6 promoted cell proliferation and colony formation in vitro.Xenograft assay showed that knockdown of CPSF6 significantly decreased tumor growth rate in vivo.Subsequently,we verified that depletion of CPSF6 led to cell cycle arrest and apoptosis.Finally,we validated that CPSF6,as a circRNA-binding protein,interacted with and regulated its circular isoform circCPSF6(hsa_circ_0000417),of which depletion also resulted in cell cycle arrest and cell apoptosis in ESCC.Conclusions:These findings gave us insight that overexpression of cytoplasmic CPSF6 protein is associated with poor prognosis in ESCC and CPSF6 may function as an oncoprotein,at least in part,through regulating circCPSF6 expression. | Shichao Guo Guangchao Wang Zitong Zhao Dan Li Yongmei Song Qimin Zhan | 2022 | Chinese Journal of Cancer Research2022，34，1： | 1 |
| 12 | Sox2 is the faithful marker for pluripotency in pig: Evidence from embryonic studies显示文摘 | Shichao Liu Gerelchimeg Bou Ruizhen Sun Shimeng Guo Binghua Xue Renyue Wei Austin J. Cooney Zhonghua Liu | 2015 | Dev. Dyn2015，，4： | 1 |
| 13 | Expansins and coleoptile elongation in wheat显示文摘 | Qiang Gao Meirong Zhao Feng Li Qifang Guo Shichao Xing Wei Wang | 2008 | Protoplasma (-)2008，，1： | 1 |
| 14 | Expert consensus on the prevention and treatment of substance use and addictive behaviour-related disorders during the COVID-19 pandemic显示文摘In early 2020,the COVID-19 outbreak complicated the diagnosis,treatm ent and rehabilitation of patients with substance use disorders and increased the risks of substance abuse and addictive behaviours,such as online gaming disorders,in the general public.Substance use disorder is a chronic recurrent brain disease characterised by strong cravings,high recurrence rates,and a high proportion of comorbidity of mental and physical disorders.1 Therefore,regular long-term therapeutic interventions are critical to preventing dm g relapses while maintaining withdrawal. | Jiang Du Ni Fan Min Zhao Wei Hao Tieqiao Liu Lin Lu Jie Shi Haifeng Jiang Na Zhong Xiaochang Lan Shichao Xu Hongxian Chen Xiaojun Xiang Xuyi Wang Hongqiang Sun Bing Li Yu-Ping Ning Jing Li Wanjun Guo Yajuan Niu Lixia Sheng Yi Li Xuebin Liu Xuhui Zhou Mincai Qian Wenhua Zhou Ruiling Zhang Hongxing Hu Yan Xia Zhonghua Su Ruimin Zhang Mei Yang Fen Liu Wei Yuan | 2020 | General Psychiatry2020，33，4： | 1 |
| 15 | Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives显示文摘Plant phenomics(PP)has been recognized as a bottleneck in studying the interactions of genomics and environment on plants,limiting the progress of smart breeding and precise cultivation.High-throughput plant phenotyping is challenging owing to the spatio-temporal dynamics of traits.Proximal and remote sensing(PRS)techniques are increasingly used for plant phenotyping because of their advantages in multi-dimensional data acquisition and analysis.Substantial progress of PRS applications in PP has been observed over the last two decades and is analyzed here from an interdisciplinary perspective based on 2972 publications.This progress covers most aspects of PRS application in PP,including patterns of global spatial distribution and temporal dynamics,specific PRS technologies,phenotypic research fields,working environments,species,and traits.Subsequently,we demonstrate how to link PRS to multi-omics studies,including how to achieve multi-dimensional PRS data acquisition and processing,how to systematically integrate all kinds of phenotypic information and derive phenotypic knowledge with biological significance,and how to link PP to multi-omics association analysis.Finally,we identify three future perspectives for PRS-based PP:(1)strengthening the spatial and temporal consistency of PRS data,(2)exploring novel phenotypic traits,and(3)facilitating multi-omics communication. | Haiyu Tao Shan Xu Yongchao Tian Zhaofeng Li Yan Ge Jiaoping Zhang Yu Wang Guodong Zhou Xiong Deng Ze Zhang Yanfeng Ding Dong Jiang Qinghua Guo Shichao Jin | 2022 | Plant Communications2022，3，6： | 1 |
| 16 | A new method of searching for concealed Au deposits by using the spectrum of arid desert plant species显示文摘With the increase of exploration depth,it is more and more difficult to find Au deposits.Due to the limitation of time and cost,traditional geological exploration methods are becoming increasingly difficult to be effectively applied.Thus,new methods and ideas are urgently needed.This study assessed the feasibility and effectiveness of using hyperspectral technology to prospect for hidden Au deposits.For this purpose,48 plant(Seriphidium terrae-albae)and soil(aeolian gravel desert soil)samples were first collected along a sampling line that traverses an Au mineralization alteration zone(Aketasi mining region in an arid region of China)and were used to obtain soil Au contents by a chemical analysis method and the reflectance spectra of plants obtained with an Analytical Spectral Device(ASD)FieldSpec3 spectrometer.Then,the corresponding relationship between the soil Au content anomaly and concealed Au deposits was investigated.Additionally,the characteristic bands were selected from plant spectra using four different methods,namely,genetic algorithm(GA),stepwise regression analysis(STE),competitive adaptive reweighted sampling(CARS),and correlation coefficient method(CC),and were then input into the partial least squares(PLS)method to construct a model for estimating the soil Au content.Finally,the quantitative relationship between the soil Au content and the 15 different plant transformation spectra was established using the PLS method.The results were compared with those of a model based on the full spectrum.The results obtained in this study indicate that the location of concealed Au deposits can be predicted based on soil geochemical anomaly information,and it is feasible and effective to use the full plant spectrum and PLS method to estimate the Au content in the soil.The cross-validated coefficient of determination(R2)and the ratio of the performance to deviation(RPD)between the predicted value and the measured value reached the maximum of 0.8218 and 2.37,respectively,with a minimum value of 6.56μg/kg for the root-mean-squared error(RMSE)in the full spectrum model.However,in the process of modeling,it is crucial to select the appropriate transformation spectrum as the input parameter for the PLS method.Compared with the GA,STE,and CC methods,CARS was the superior characteristic band screening method based on the accuracy and complexity of the model.When modeling with characteristic bands,the highest accuracy,R2 of 0.8016,RMSE of 7.07μg/kg,and RPD of 2.20 were obtained when 56 characteristic bands were selected from the transformed spectra(1/lnR)'(where it represents the first derivative of the reciprocal of the logarithmic spectrum)of sampled plants using the CARS method and were input into the PLS method to construct an inversion model of the Au content in the soil.Thus,characteristic bands can replace the full spectrum when constructing a model for estimating the soil Au content.Finally,this study proposes a method of using plant spectra to find concealed Au deposits,which may have promising application prospects because of its simplicity and rapidity. | CUI Shichao ZHOU Kefa ZHANG Guanbin DING Rufu WANG Jinlin CHENG Yinyi JIANG Guo | 2021 | Journal of Arid Land2021，13，11： | 0 |
| 17 | Duality of Li_(2)CO_(3) in Solid-State Batteries显示文摘Solid-state batteries(SSBs)have been considered the most promising technology because of their superior energy density and safety.Among all the solid-state electrolytes(SEs),Li_(7) La_(3) Zr_(2) O_(12)(LLZO)with high ionic conductivity(3×10^(−4) S/cm)has been widely investigated.However,its large-scale production in ambient air faces a challenge.After air exposure,the generated Li_(2)CO_(3) layer deteriorates the ionic conductivity and interfacial wettability,thus greatly compromising the electrochemical performance of SSBs.Many works aim to eliminate this layer to recover the pristine LLZO surface.Unfor-tunately,few articles have emphasized the merits of Li_(2)CO_(3).In this review,we focus on the two-sidedness of Li_(2)CO_(3).We discuss the various characteristics of Li_(2)CO_(3) that can be used and recapitulate the strategies that utilize Li_(2)CO_(3).Insulating Li_(2)CO_(3) is no longer an obstacle but an opportunity for realizing intimate interfacial contact,high air stability,and outstand-ing electrochemical performance.This review aims to off er insightful guidelines for treating air-induced Li_(2)CO_(3) and lead to developing the enhanced air stability and electrochemical performance of LLZO. | Xuerui Yi Yong Guo Siyuan Pan Yiqiao Wang Sijia Chi Shichao Wu Quan-Hong Yang | 2023 | Transactions of Tianjin University2023，29，1： | 0 |
| 18 | Allometry-based estimation of forest aboveground biomass combining LiDAR canopy height attributes and optical spectral indexes显示文摘Accurate estimates of forest aboveground biomass(AGB)are essential for global carbon cycle studies and have widely relied on approaches using spectral and structural information of forest canopies extracted from various remote sensing datasets.However,combining the advantages of active and passive data sources to improve estimation accuracy remains challenging.Here,we proposed a new approach for forest AGB modeling based on allometric relationships and using the form of power-law to integrate structural and spectral information.Over 60 km^(2) of drone light detection and ranging(LiDAR)data and 1,370 field plot measurements,covering the four major forest types of China(coniferous forest,sub-tropical broadleaf forest,coniferous and broadleaf-leaved mixed forest,and tropical broadleaf forest),were collected together with Sentinel-2 images to evaluate the proposed approach.The results show that the most universally useful structural and spectral metrics are the average values of canopy height and spectral index rather than their maximum values.Compared with structural attributes used alone,combining structural and spectral information can improve the estimation accuracy of AGB,increasing R^(2) by about 10%and reducing the root mean square error by about 22%;the accuracy of the proposed approach can yield a R^(2) of 0.7 in different forests types.The proposed approach performs the best in coniferous forest,followed by sub-tropical broadleaf forest,coniferous and broadleaf-leaved mixed forest,and then tropical broadleaf forest.Furthermore,the simple linear regression used in the proposed method is less sensitive to sample size and outperforms statistically multivariate machine learning-based regression models such as stepwise multiple regression,artificial neural networks,and Random Forest.The proposed approach may provide an alternative solution to map large-scale forest biomass using space-borne LiDAR and optical images with high accuracy. | Qiuli Yang Yanjun Su Tianyu Hu Shichao Jin Xiaoqiang Liu Chunyue Niu Zhonghua Liu Maggi Kelly Jianxin Wei Qinghua Guo | 2022 | Forest Ecosystems2022，9，5： | 0 |
| 19 | PLANT DENSITY,IRRIGATION AND NITROGEN MANAGEMENT:THREE MAJOR PRACTICES IN CLOSING YIELD GAPS FOR AGRICULTURAL SUSTAINABILITY IN NORTH-WEST CHINA显示文摘Agriculture faces the dual challenges of food security and environmental sustainability.Here,we investigate current maize production at the field scale,analyze the yield gaps and impacting factors,and recommend measures for sustainably closing yield gaps.An experiment was conducted on a 3.9-ha maize seed production field in arid north-west China,managed with border and drip irrigation,respectively,in 2015 and 2016.The relative yield reached 70%in both years.However,drip irrigation saved 227 mm irrigation water during a drier growing season compared with traditional border irrigation,accounting for 44%of the maize evapotranspiration(ET).Yield variability under drip irrigation was12.1%,lower than the 18.8%under border irrigation.Boundary line analysis indicates that a relative yield increase of 8%to 10%might be obtained by optimizing the yield-limiting factors.Plant density and soil available water content and available nitrogen were the three major factors involved.In conclusion,closing yield gaps with agricultural sustainability may be realized by optimizing agronomic,irrigation and fertilizer management,using water-saving irrigation methods and using site-specific management. | Xiuwei GUO Manoj Kumar SHUKLA Di WU Shichao CHEN Donghao LI Taisheng DU | 2021 | Frontiers of Agricultural Science and Engineering2021，8，4： | 0 |
| 20 | LINKING CROP WATER PRODUCTIVITY TO SOIL PHYSICAL,CHEMICAL AND MICROBIAL PROPERTIES显示文摘Agriculture uses a large proportion of global and regional water resources.Due to the rapid increase of population in the world,the increasing competition for water resources has led to an urgent need in increasing crop water productivity for agricultural sustainability.As the medium for crop growth,soils and their properties are important in affecting crop water productivity.This review examines the effects of soil physical,chemical,and microbial properties on crop water productivity and the quantitative relationships between them.A comprehensive view of these relationships may provide important insights for soil and water management in arable land for agriculture in the future. | Di WU Allan AANDALES Hui YANG Qing SUN Shichao CHEN Xiuwei GUO Donghao LI Taisheng DU | 2021 | Frontiers of Agricultural Science and Engineering2021，8，4： | 0 |
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