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| 1 | The climatic suitability for maize cultivation in China显示文摘To provide scientific support for planning maize production and designing countermeasures against the effects of climate change on the national maize crop, we analyzed the climatic suitability for cultivating maize across China. These analyses were based on annual climate indices at the Chinese national level; these indices influence the geographical distribution of maize cultivation. The annual climate indices, together with geographical information on the current cultivation sites of maize, the maximum entropy (MaxEnt) model, and the ArcGIS spatial analysis technique were used to analyze and predict maize distribution. The results show that the MaxEnt model can be used to study the climatic suitability for maize cultivation. The eight key climatic factors affecting maize cultivation areas were the frost-free period, annual average temperature, ≥0°C accumulated temperature, ≥10°C accumulated temperature continuous days, ≥10°C accumulated temperature, annual precipitation, warmest month average temperature, and humidity index. We classified climatic zones in terms of their suitability for maize cultivation, based on the existence probability determined using the MaxEnt model. Furthermore, climatic thresholds for a potential maize cultivation zone were determined based on the relationship between the dominant climatic factors and the potential maize cultivation area. The results indicated that the importance and thresholds of main climate controls differ for different maize species and maturities, and their specific climatic suitability should be studied further to identify the best cultivation zones. The MaxEnt model is a useful tool to study climatic suitability for maize cultivation. | HE QiJin ZHOU GuangSheng | 2012 | Chinese Science Bulletin2012，57，4： | 24 |
| 2 | Transmutation of ancient settlements and environmental changes between 6000-2000 aBP in the Chaohu Lake Basin, East China显示文摘Based on the temporal-spatial distribution features of ancient settlement sites from the middle and late Neolithic Age to the Han dynasty in the Chaohu Lake Basin of Anhui Province,East China,using the methods of GIS combined with the reconstructed paleoenvironment by the records of lake sediment since Holocene,the transmutation of ancient settlements with response to environmental changes in this area has been discussed.Studies show that the main feature of transmutation of ancient settlements from the middle and late Neolithic Age to the Han Dynasty was that the distribution of settlements in this area changed from high altitudes to low ones and kept approaching the Chaohu Lake with the passage of time.These could be the response to the climate change from warm-moist to a relatively warm-dry condition during the middle Holocene,leading to the lake level fluctuations.The large area of exposed land provided enough space for human activities.These indicate that the above changes in geomorphologic evolution and hydrology influenced by climate conditions affected the transmutation of ancient settlements greatly.The distribution pattern of settlement sites was that the number of sites in the west was more than in the east.This pattern may be related to the geomorphologic conditions such as frequent channel shifting of the Yangtze River as well as flood disasters during the Holocene optimum.Therefore,climate change was the inducement of the transmutation of ancient settlements in the Chaohu Lake Basin,which exerted great influence on the distribution,expansion and development of the ancient settlements. | WU Li WANG Xinyuan ZHOU Kunshu MO Duowen ZHU Cheng GAO Chao ZHANG Guangsheng LI Lan LIU Li HAN Weiguang | 2010 | Journal of Geographical Sciences2010，20，5： | 16 |
| 3 | Global change and climate-vegetation classification显示文摘Three phrases of the quantitative study of climate-vegetation classification and their characteristics are presented based on the review of advance in climate-vegetation interaction, a key issue of 'global change and terrestrial ecosystems (GCTE)' which is the core project of International Geosphere-Biosphere Programme (IGBP): (i) characterized by the correlation between natural vegetation types and climate; (? characterized by climatic indices which have obviously been restricted to plant ecophysiology; (iii) characterized by coupling both structure and function of vegetation. Thus, the prospective of climate-vegetation classification for global change study in China was proposed, especially the study coupling climate-vegetation classification models with atmospheric general circulation models (GCMs) was emphasized. | Guangsheng Zhou Yuhui Wang | 2000 | Chinese Science Bulletin2000，45，7： | 12 |
| 4 | Toward a general evaluation model for soil respiration (GEMSR)显示文摘Soil respiration is an important component of terrestrial carbon budget. Its accurate evaluation is es- sential to the study of terrestrial carbon source/sink. Studies on soil respiration at present mostly focus on the temporal variations and the controlling factors of soil respiration, but its spatial variations and controlling factors draw less attention. Moreover, the evaluation models for soil respiration at present include only the effects of water and heat factors, while the biological and soil factors controlling soil respiration and their interactions with water and heat factors have not been considered yet. These models are not able to accurately evaluate soil respiration in different vegetation/terrestrial ecosystems at different temporal and spatial scales. Thus, a general evaluation model for soil respiration (GEMSR) including the interacting meteorological (water and heat factors), soil nutrient and biological factors is suggested in this paper, and the basic procedure developing GEMSR and the research tasks of soil respiration in the future are also discussed. | ZHOU GuangSheng, JIA BingRui, HAN GuangXuan & ZHOU Li Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China | 2008 | Science China(Life Sciences)2008，51，3： | 12 |
| 5 | Dynamics of decadal changes in the distribution of double-cropping rice cultivation in China显示文摘Quantitative description of changes in the distribution of paddy rice cultivation in response to recent climate change provides a reference for rice cultivation patterns and formulation of countermeasures to cope with future climate change in China. This study analyzes the dynamics of decadal changes in distribution of double-cropping rice in China during 1961-2010 in relation to climate change based on the maximum entropy method. Decadal changes in the double-cropping rice cultivation area and climatic suitability in China were apparent. The total area of climatically suitable regions was highest in the 1960s, and subsequently showed an increasing trend at first and then a decreasing trend from the 1970s to 2000s. However, the low climatic suitability area decreased, which implied that the moderate and high climatic suitability areas increased. Among the latter, the high climatic suitability area showed the highest increase in extent to 4.4 times that of the 1990s and four times that of the 1960s. The areas of double-cropping rice cultivation most sensitive to climate change are mainly located in central Jiangsu, central Anhui, the eastern Sichuan Basin, southern Henan and central Guizhou. Transformation of areas between low and moderate climatic suitability was observed in northern Zhejiang, southern Anhui and Hubei, and northern Guangxi. Transformation of areas between moderate and high climatic suitability was observed in central Jiangxi and Leizhou Peninsula. The northern boundary of double-cropping rice cultivation in China shifted southwards and contracted eastwards in the 1970s, and extended northwards in the 1980s. However, the northern boundary did not shift northwards in response to climate warming in the 2000s. | DUAN JuQi ZHOU GuangSheng | 2013 | Chinese Science Bulletin2013，58，16： | 10 |
| 6 | Spatiotemporal dynamic simulation of grassland carbon storage in China显示文摘Based on the Terrestrial Ecosystem Model(TEM 5.0), together with the data of climate(temperature, precipitation and solar radiation) and environment(grassland vegetation types, soil texture, altitude, longitude and latitude, and atmospheric CO2 concentration data), the spatiotemporal variations of carbon storage and density, and their controlling factors were discussed in this paper. The results indicated that:(1) the total carbon storage of China's grasslands with a total area of 394.93×104 km2 was 59.47 Pg C. Among them, there were 3.15 Pg C in vegetation and 56.32 Pg C in soil carbon. China's grasslands covering 7.0–11.3% of the total world's grassland area had 1.3–11.3% of the vegetation carbon and 9.7–22.5% of the soil carbon in the world grasslands. The total carbon storage increased from 59.13 to 60.16 Pg C during 1961–2013 with an increasing rate of 19.4 Tg C yr^(-1).(2) The grasslands in the Qinghai-Tibetan Plateau contributed most to the total carbon storage during 1961–2013, accounting for 63.2% of the total grassland carbon storage, followed by Xinjiang grasslands(15.8%) and Inner Mongolia grasslands(11.1%).(3) The vegetation carbon storage showed an increasing trend, with the average annual growth rate of 9.62 Tg C yr^(-1) during 1961–2013, and temperature was the main determinant factor, explaining approximately 85% of its variation. The vegetation carbon storage showed an increasing trend in most grassland regions, however, a decreasing trend in the central grassland in the southern China, the western and central parts of the Inner Mongolian grasslands as well as some parts on the Qinghai-Tibetan Plateau. The soil carbon storage showed a significantly increasing trend with a rate of 7.96 Tg C yr^(-1), which resulted from the interaction of more precipitation and low temperature in the 1980 s and 1990 s. Among them, precipitation was the main determinant factor of increasing soil carbon increases of China's grasslands. | ZHANG Li ZHOU GuangSheng JI YuHe BAI YongFei | 2016 | Science China Earth Sciences2016，59，10： | 8 |
| 7 | Variation of net primary productivity and its drivers in China’s forests during 2000-2018显示文摘Background:Net primary productivity(NPP)in forests plays an important role in the global carbon cycle.However,it is not well known about the increase rate of China’s forest NPP,and there are different opinions about the key factors controlling the variability of forest NPP.Methods:This paper established a statistics-based multiple regression model to estimate forest NPP,using the observed NPP,meteorological and remote sensing data in five major forest ecosystems.The fluctuation values of NPP and environment variables were extracted to identify the key variables influencing the variation of forest NPP by correlation analysis.Results:The long-term trends and annual fluctuations of forest NPP between 2000 and 2018 were examined.The results showed a significant increase in forest NPP for all five forest ecosystems,with an average rise of 5.2 gC·m-2·year-1 over China.Over 90%of the forest area had an increasing NPP range of 0-161 gC·m-2·year-1.Forest NPP had an interannual fluctuation of 50-269 gC.m-2·year-1 for the five major forest ecosystems.The evergreen broadleaf forest had the largest fluctuation.The variability in forest NPP was caused mainly by variations in precipitation,then by temperature fluctuations.Conclusions:All five forest ecosystems in China exhibited a significant increasing NPP along with annual fluctuations evidently during 2000-2018.The variations in China’s forest NPP were controlled mainly by changes in precipitation. | Yuhe Ji Guangsheng Zhou Tianxiang Luo Yakir Dan Li Zhou Xiaomin Lv | 2020 | Forest Ecosystems2020，7，2： | 8 |
| 8 | A detailed investigation of low latitude tweek atmospherics observed by the WHU ELF/VLF receiver:Ⅰ. Automatic detection and analysis method显示文摘As a dispersive wave mode produced by lightning strokes, tweek atmospherics provide important hints of lower ionospheric(i.e., D-region) electron density. Based on data accumulation from the WHU ELF/VLF receiver system, we develop an automatic detection module in terms of the maximum-entropy-spectral-estimation(MESE) method to identify unambiguous instances of low latitude tweeks.We justify the feasibility of our procedure through a detailed analysis of the data observed at the Suizhou Station(31.57°N, 113.32°E) on17 February 2016. A total of 3961 tweeks were registered by visual inspection;the automatic detection method captured 4342 tweeks, of which 3361 were correct ones, producing a correctness percentage of 77.4%(= 3361/4342) and a false alarm rate of 22.6%(= 981/4342).A Short-Time Fourier Transformation(STFT) was also applied to trace the power spectral profiles of identified tweeks and to evaluate the tweek propagation distance. It is found that the fitting accuracy of the frequency–time curve and the relative difference of propagation distance between the two methods through the slope and through the intercept can be used to further improve the accuracy of automatic tweek identification. We suggest that our automatic tweek detection and analysis method therefore supplies a valuable means to investigate features of low latitude tweek atmospherics and associated ionospheric parameters comprehensively. | RuoXian Zhou XuDong Gu KeXin Yang GuangSheng Li BinBin Ni Juan Yi Long Chen FuTai Zhao ZhengYu Zhao Qi Wang LiQing Zhou | 2020 | Earth and Planetary Physics2020，4，2： | 7 |
| 9 | Evaluating cellulose absorption index(CAI) for non-photosynthetic biomass estimation in the desert steppe of Inner Mongolia显示文摘Accurate estimation of non-photosynthetic biomass is critical for modeling carbon dynamics within grassland ecosystems.We evaluated the cellulose absorption index(CAI),widely used for monitoring non-photosynthetic vegetation coverage,for non-photosynthetic biomass estimation.Our analysis was based on in situ hyperspectral measurements,during the growing seasons of 2009 and 2010,in the desert steppe of Inner Mongolia.ASD(Analytical Spectral Device)-derived and Hyperion-derived CAI were found to be effective for non-photosynthetic biomass estimation,yielding relative error(RE) values of 26.4% and 26.6%,respectively.The combination of MODIS(Moderate Resolution Imaging Spectroradiometer)-derived(MODIS2 MODIS5)/(MODIS2 +MODIS5) and(MODIS6 MODIS7)/(MODIS6 +MODIS7) showed a high multiple correlation(multiple correlation coefficient,r=0.884) with ASD-derived CAI.A predictive model involving the two MODIS indices gave greater accuracy(RE=28.9%) than the TM(Landsat Thematic Mapper)-derived indices.The latter were the normalized difference index(NDI),the soil adjusted corn residue index(SACRI),and the modified soil adjusted crop residue index(MSACRI).These indices yielded RE values of more than 42%.Our conclusions have great significance for the estimation of regional non-photosynthetic biomass in grasslands,based on remotely sensed data. | REN HongRui ZHOU GuangSheng ZHANG Feng ZHANG XinShi | 2012 | Chinese Science Bulletin2012，57，14： | 6 |
| 10 | INFLUENCE OF Al-5Ti-1B MASTER ALLOY ON MICROSTRUCTURE AND DAMPING CAPACITY OF ZA27 ALLOY显示文摘1INTRODUCTIONThedampingcapacityofamaterialisameasureoftheenergythatisdissipatedinthematerialduringmechanicalvibrationundercyc... | Zhang, Zhongming Wang, Jincheng Lu, Yili Song, Guangsheng Yang, Gencang Zhou, Yaohe | 1998 | 中国有色金属学会会刊:英文版1998，8，3： | 5 |
| 11 | Climatic suitability and spatial distribution for summer maize cultivation in China at 1.5 and 2.0 °C global warming显示文摘Evaluating climatic suitability of crop cultivation lays a foundation for agriculture coping with climate change scientifically. Herein, we analyse changes in the climatically suitable distribution of summer maize cultivation in China at 1.5℃(GW1.5) and 2.0℃(GW2.0) global warming in the future according to the temperature control targets set by the Paris Agreement. Compared with the reference period (1971- 2000), the summer maize cultivation climatically suitable region (CSR) in China mainly shifts eastwards, and its acreage significantly decreases at both GW1.5 and GW2.0. Despite no dramatic changes in the CSR spatial pattern, there are considerable decreases in the acreages of optimum and suitable regions (the core of the main producing region), indicating that half-a-degree more global warming is unfavourable for summer maize production in China's main producing region. When the global warming threshold increases from GW1.5 to GW2.0, the centres-of-gravity of optimum areas shift northeastward under RCP4.5 and RCP8.5, the centres-of-gravity of both suitable and less suitable areas shift northwestward, though the northward trend is more prominent for the less suitable areas, and the centre-of-gravity of unsuitable areas shifts southeastward. Generally, half-a-degree more global warming drives the cultivable areas of summer maize to shift northward in China, while the west region shows a certain potential for expansion of summer maize cultivation. | Qijin He Guangsheng Zhou Xiaomin Lü Mengzi Zhou | 2019 | Science Bulletin2019，64，10： | 4 |
| 12 | Analysis of the Variability of Canopy Resistance over a Desert Steppe Site in Inner Mongolia, China显示文摘Canopy resistance substantially affects the partitioning of available energy over vegetated surfaces. This study analyzed the variability of canopy resistance and associated driving environmental factors over a desert steppe site in Inner Mongolia,China, through the use of eddy-flux and meteorological data collected from 2008 to 2010. Distinct seasonal and interannual variabilities in canopy resistance were identified within those three years, and these variabilities were controlled primarily by precipitation. Strong interannual variability was found in vapor pressure deficit(VPD), similar to that of air temperature.Based on the principal component regression method, the analysis of the relative contribution of five major environmental factors [soil-water content(SWC), leaf-area index(LAI), photosynthetically active radiation(Kp), VPD, and air temperature]to canopy resistance showed that the canopy-resistance variation was most responsive to SWC(with > 35% contribution),followed by LAI, especially for water-stressed soil conditions(> 20% influence), and VPD(consistently with an influence of approximately 20%). Canopy-resistance variations did not respond to Kpdue to the small interannual variability in Kpduring the three years. These analyses were used to develop a new exponential function of water stress for the widely used Jarvis scheme, which substantially improved the calculation of canopy resistance and latent heat fluxes, especially for moist and wet soils, and effectively reduced the high bias in evaporation estimated by the original Jarvis scheme. This study highlighted the important control of canopy resistance on plant evaporation and growth for the investigated desert steppe site with a relatively low LAI. | ZHANG Guo ZHOU Guangsheng CHEN Fei WANG Yu | 2014 | Advances in Atmospheric Sciences2014，31，3： | 3 |
| 13 | Analysis of Parameter Sensitivity on Surface Heat Exchange in the Noah Land Surface Model at a Temperate Desert Steppe Site in China显示文摘The dominant parameters in the Noah land surface model(LSM) are identified, and the effects of parameter optimization on the surface heat exchange are investigated at a temperate desert steppe site during growing season in Inner Mongolia, China. The relative impacts of parameters on surface heat flux are examined by the distributed evaluation of local sensitivity analysis(DELSA), and the Noah LSM is calibrated by the global shuffled complex evolution(SCE) against the corresponding observations during May–September of 2008 and 2009. The differences in flux simulations are assessed between the Noah LSM calibrated by the SCE with 27 parameters and 12 dominant parameters.The systematic error, unsystematic error, root mean squared error, and mean squared error decompositions are used to evaluate the model performance. Compared to the control experiment, parameter optimization by the SCE using net radiation, sensible heat flux, latent heat flux, and ground heat flux as the objective criterion, respectively, can obviously reduce the errors of the Noah LSM. The calibrated Noah LSM is further validated against flux observations of growing season in 2010, and it is found that the calibrated Noah LSM can be applied in the longer term at this site.The Noah LSM with 12 dominant parameters calibrated performs similar to that with 27 parameters calibrated. | Guo ZHANG Guangsheng ZHOU Fei CHEN | 2017 | Journal of Meteorological Research2017，31，6： | 3 |
| 14 | Synthesis and characterization of a novel binuclear iron phthalocyanine/reduced graphene oxide nanocomposite for non-precious electrocatalyst for oxygen reduction显示文摘Binuclear iron phthalocyanine/reduced graphene oxide(bi-Fe Pc/RGO) nanocomposite with good electrocatalytic activity for ORR in alkaline medium was prepared in one step. High angle annular dark field image scanning transmission electron microscopy(HAADF-STEM) and energy dispersive X-ray spectroscopy element mapping results show bi-Fe Pc was uniformly distributed on RGO. An obvious cathodic peak located at about-0.23 V(vs. SCE) in CV and an onset potential of-0.004 V(vs. SCE) in LSV indicate the as-prepared bi-Fe Pc/RGO nanocomposite possesses high activity which is closed to Pt/C for ORR. The ORR on bi-Fe Pc/RGO nanocomposite follows four-electron transfer pathway in alkaline medium. Compared with Pt/C, there is only a slight decrease(about 0.02 V vs. SCE) for bi-Fe Pc/RGO nanocomposite when the methanol exists. The excellent activity and methanol tolerance in alkaline solutions proves that bi-Fe Pc/RGO nanocomposite could be considered as a promising cathode catalyst for alkaline fuel cells. | Ruonan Li Dongtang Zhang Yingyan Zhou Xiayan Wang Guangsheng Guo | 2016 | Science China Chemistry2016，59，6： | 3 |
| 15 | Altitudinal patterns of maximum plant height on the Tibetan Plateau显示文摘Aims Several studies have shown that plant height changes along environmen-tal gradients.However,altitudinal patterns of plant height across species are still unclear,especially in regions sensitive to climate change.As canopy height decreases dramatically near the tree line in alpine areas,we hypothesize that plant height across all species also decreases with increasing altitude,and distinct thresholds exist along this gradient.Methods Using a large dataset of maximum plant height and elevation range(400 to 6000 m a.s.l.)of 4295 angiosperms from the regional flora of the Tibetan Plateau,we regressed plant height for every 100 m belt against elevation to explore the relationships.To identify the approximate boundaries where dramatic changes in plant height occurs for herbaceous plants,shrubs,trees,woody plants and all angiosperms,we used piecewise linear regression.Phylogenetically independent contrast was used to test the potential evolutionary influences on altitudinal patterns at the family level.Important Findings Results showed that for herbaceous plants,shrubs,trees,woody plants and all angiosperms,plant height decreases significantly as altitude increases.In addition,we found that altitude,a proxy for many environmental factors,had obvious thresholds(breakpoints)dictating patterns of plant height.The results of phylogenetically independent contrast also emphasized the importance of evolution-ary history in determining the altitudinal patterns of plant height for some growth forms.Our results highlight the relative intense filter-ing effect of environmental factors in shaping patterns of functional traits and how this could vary for different ranges of environmental variables. | Lingfeng Mao Shengbin Chen Jinlong Zhang Guangsheng Zhou | 2018 | Journal of Plant Ecology2018，11，1： | 3 |
| 16 | Partitioning root and microbial contributions to soil respiration in Leymus chinensis populations显示文摘 | Bingrui Jia Guangsheng Zhou Fengyu Wang Yuhui Wang Wenping Yuan Li Zhou | 2005 | Soil Biology and Biochemistry2005，，4： | 3 |
| 17 | Response of leaf carbon metabolism and dry matter accumulation to density and row spacing in two rapeseed(Brassica napus L.)genotypes with differing plant architectures显示文摘Biological yield indicates the potential for increasing yield.Leaf carbon metabolism plays an important role in the biomass accumulation of rapeseed(Brassica napus L.).Field experiments with the hybrid HZ62(with a conventional plant architecture)grown in 2016–2017,and HZ62 and accession 1301(with a compact plant architecture)grown in 2017–2018 were conducted to characterize the physiological and proteomic responses of leaf photosynthetic carbon metabolism to density and row spacing configurations.The densities were set at 15×10;ha^(-1)(D1),30×10^(4)ha^(-1)(D2),and 45×10^(4)ha^(-1)(D3)(main plot),with row spacings of 15 cm(R15),25 cm(R25),and 35 cm(R35)(subplot).Individual and plant population biomass accumulation was greatest at R25,R15,and R15 for D1,D2,and D3,respectively,for both genotypes.In comparison with D1 R25,the individual aboveground biomass of HZ62 decreased by60.2%,whereas the population biomass increased by 31.9%,and the individual biomass of genotype1301 decreased by 54.0%and the population biomass increased by 53.9%at D3 R15.Leaf carbon metabolic enzymes varied between genotypes at flowering stage.In contrast to D1 R25,at D3 R15 the activities of ribulose-1,5-bisphosphate carboxylase/oxygenase(Rubisco)and sucrose phosphate synthase(SPS)and the contents of starch,sucrose and soluble sugars in leaves were significantly decreased in HZ62 and increased in genotype 1301.The activities of fructose-1,6-bisphosphatase(FBPase)decreased,in consistency with the abundance of fructose-bisphosphate aldolase in HZ62.In contrast,sucrose synthase(Su Sy)activity appeared to decrease in both genotypes,but a significant increase in abundance of a protein with sucrose synthase was found in the 1301 genotype by proteomic analysis.With increased density and reduced row spacing,the expression of most key proteins involved in carbon metabolism was elevated,and enzyme activity and carbon assimilate content were increased in 1301,whereas HZ62 showed the opposite trend,indicating that the compact plant type can accumulate more population biomass with denser planting. | Jie Kuai Xiaoyong Li Jianli Ji Zhen Li Yan Xie Bo Wang Guangsheng Zhou | 2022 | The Crop Journal2022，10，3： | 2 |
| 18 | 2021 Chinese consensus on the diagnosis and management of primary immune thrombocytopenia in pregnancy显示文摘Immune thrombocytopenia(ITP)is an acquired disease characterized by isolated thrombocytopenia,which is one of the most common causes of thrombocytopenia during pregnancy.Women with ITP who have severe thrombocytopenia are at an increased risk for life-threatening obstetric complications.Therefore,we established this consensus statement on the diagnosis and management of ITP during pregnancy(detailed information is available in the Supplementary File,http://links.lww.com7CM9/A978). | Zhang Xiaohui Chen Fangping Chen Xiequn Cheng Yunfeng Fang Meiyun Feng Jianming Fu Haixia Gao Hong Han Yue He Aili Hou Ming Hu Yu Huang Ruibin Huang Wenrong Jing Zhicheng Kong Peiyan Liang Aibin Liang Meiying Liu Daihong Liu Junling Liu Lin Liu Xiaowei Ma Liangming Mei Heng Ni Heyu Niu Ting Peng Jun Qiao Jianlin Ren Jinhai Song Yongping Tang Liang V Tong Tong Wang Shaoyuan Wang Xin Wang Zhao Wei Hui Wu Depei Wu Guangsheng Xu Caigang Xu Xue Xu Yajing Yang Linhua Yang Renchi Yang Tonghua Yin Chenghong Yu Li Zhang Guangsen Zhang Lei Zhang Liansheng Zhang Xi Zhao Weili Zhao Yongqiang Zhou Daobin Zhou Hu Zhou Zeping Zhu Tienan Wang Jianliu Huang Xiaojun | 2022 | Chinese Medical Journal2022，，8： | 2 |
| 19 | Remote estimation of the fraction of absorbed photosynthetically active radiation for a maize canopy in Northeast China显示文摘Aims accurate remote estimation of the fraction of absorbed photosynthetically active radiation(fAPAR)is essential for the light use efficiency(LUE)models.Currently,one challenge for the LUE models is lack of knowledge about the relationship between fAPAR and the normalized difference vegetation index(NDVI).Few studies have tested this relationship against field measurements and evaluated the accuracy of the remote estimation method.this study aimed to reveal the empirical relationship between NDVI and fAPAR and to improve algorithms for remote estimation of fAPAR.Methods to investigate the method of remote estimation of fAPAR seasonal dynamics,the CASA(Carnegie-ames-stanford approach)model and spectral vegetation indices(VIs)were used for in situ measure-ments of spectral reflectance and fAPAR during the growing season of a maize canopy in Northeast China.Important Findingsthe results showed that the fAPAR increased rapidly with the day of year during the vegetative stage,it remained relatively stable at the stage of reproduction,and finally decreased slowly during the senescence stage.In addition,fAPAR green[fAPAR_(green)=fAPAR_(green) -fAPAR_(green) LAI_(max))]showed clearer seasonal trends than fAPAR.the NDVI,red-edge NDVI,wide dynamic range vegetation index,red-edge position(REP)and REP with sentinel-2 bands derived from hyperspectral remote sensing data were all significantly positively related to fAPAR green during the entire growing season.In a comparison of the predictive performance of VIs for the whole growing season,REP was the most appropriate spectral index,and can be recommended for monitoring seasonal dynamics of fAPAR in a maize canopy. | Feng Zhang Guangsheng Zhou Christer Nilsson | 2015 | Journal of Plant Ecology2015，8，4： | 2 |
| 20 | A study on the digital integrated platform of china participatory rural community informationization 显示文摘 | Hong Zhou Guangsheng Zhang Xin Ning and Jin Luo | 2010 | IFIP Advances in Informa- tion and Communication Technology2010，317，： | 1 |
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