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| 1 | Ecosystem carbon storage under different scenarios of land use change in Qihe catchment,China显示文摘Regional land use change is the main cause of the ecosystem carbon storage changes by affecting emission and sink process.However,there has been little research on the influence of land use changes for ecosystem carbon storage at both temporal and spatial scales.For this study,the Qihe catchment in the southern part of the Taihang Mountains was taken as an example;its land use change from 2005 to 2015 was analyzed,the Markov-CLUE-S composite model was used to predict land use patterns in 2025 under natural growth,cultivated land protection and ecological conservation scenario,and the land use data were used to evaluate ecosystem carbon storage under different scenarios for the recent 10-year interval and the future based on the carbon storage module of the In VEST model.The results show the following:(1) the ecosystem carbon storage and average carbon density of Qihe catchment were 3.16×107 t and 141.9 t/ha,respectively,and decreased by 0.07×107 t and 2.89 t/ha in the decade evaluated.(2) During 2005–2015,carbon density mainly decreased in low altitude areas.For high altitude area,regions with increased carbon density comprised a similar percentage to regions with decreased carbon density.The significant increase of the construction areas in the middle and lower reaches of Qihe and the degradation of upper reach woodland were core reasons for carbon density decrease.(3) For 2015–2025,under natural growth scenario,carbon storage and carbon density also significantly decrease,mainly due to the decrease of carbon sequestration capacity in low altitude areas;under cultivated land protection scenario,the decrease of carbon storage and carbon density will slow down,mainly due to the increase of carbon sequestration capacity in low altitude areas;under ecological conservation scenario,carbon storage and carbon density significantly increase and reach 3.19×107 t and 143.26 t/ha,respectively,mainly in regions above 1100 m in altitude.Ecological conservation scenario can enhance carbon sequestration capacity but cannot effectively control the reduction of cultivated land areas.Thus,land use planning of research areas should consider both ecological conservation and cultivated land protection scenarios to increase carbon sink and ensure the cultivated land quality and food safety. | ZHU Wenbo ZHANG Jingjing CUI Yaoping ZHU Lianqi | 2020 | Journal of Geographical Sciences2020，30，9： | 12 |
| 2 | Modeling the radiation balance of different urban underlying surfaces显示文摘An urban net all-wave radiation parameterization scheme is evaluated using annual datasets for 2010 recorded at a Beijing urban observation site.The statistical relationship between observed data and simulation data of net radiation has a correlation coefficient of 0.98 and model efficiency of 0.93.Therefore,it can be used to simulate the radiation balance of Beijing.This study analyzes the variation in the radiation balance for different underlying surfaces.To simulate radiation balance differences,we set four pure land-cover types(forest,grass,roads,and buildings).Keeping all other conditions inputted unchanged,we model the radiation balance by changing the land-cover type.The results show that the effects of different underlying surfaces on radiation differ,and that there is much upward long-wave radiation,accounting for 84.3% of the total radiation energy falling incident on the land surface.The annual averages of net radiation for the four land-cover types are in the range of 38.2-53.4 W/m2.The net radiation of the grass surface is minimal while that of the roads surface is maximal.Additionally,with urbanization the net radiation values of common types of land-cover change,such as conversion from forest to roads,grass to roads,and grass to buildings,all have increasing trends,indicating that net radiation usually increases with urban sprawl. | CUI YaoPing LIU JiYuan HU YunFeng WANG JunBang KUANG WenHui | 2012 | Chinese Science Bulletin2012，57，9： | 9 |
| 3 | Topographical relief characteristics and its impact on population and economy:A case study of the mountainous area in western Henan,China显示文摘Topographical relief is a key factor that limits population distribution and economic development in mountainous areas.The limitation is especially apparent in the mountain?plain t「ansition zone.Taking the transition zone between the Qinling Mountains and the North China Plain(i.e.the mountainous area in western Henan Province)as an example and based on the 200-m resolution DEM data,we used the mean change-point analysis to determine the optimal statistical unit for topographical relief,and thereafter extracted the relief degree.Taking the 1:100,000 land use data,township population and county-level industrial data,population and economic spatial models were constructed,and 200?m resolution grid population and economic density maps were gen erated.Afterwards,statistical analysis was carried out to quantitatively reveal the impact of topographical relief on population and economy.In addition,the impacts of other topographical factors were discussed.The results showed the following.(1)The relief degree in western Henan is generally low,where 58.6%of the regional topography does not exceed half the height of a reference mountain(relative elevation W250 m).Spatially,the relief degree is high in the west while low in the east,and high in the middle while low in the north and south.There is a positive correlation between relief degree and elevation,and a much stronger correlation between relief degree and slope.(2)The linear fitting degree between the population and economic validation data and the corresponding simulation data are 0.943 and 0.909,respectively,indicating that the spatialized results can reflect the actual population and economic distribution.(3)The impact of topographical relief on population and economy was stronger than that of other topographical factors.The relief degree showed a good logarithmic fit relati on ship with population density(0.911)and economic density(0.874).Specifically,88.65%of the population lives in areas where the topographical relief is W0.5 and 88.03%of the gross regional product was from areas where the relief is W0.3.Compared with the population distribution,the economic development showed an obvious agglomeration trend towards low relief areas. | ZHANG Jingjing ZHU Wenbo ZHU Lianqi CUI Yaoping HE Shasha REN Han | 2019 | Journal of Geographical Sciences2019，29，4： | 8 |
| 4 | The relationships between urban-rural temperature difference and vegetation in eight cities of the Great Plains显示文摘Interpreting the relationship between urban heat island (UHI) and urban vegetation is a basis for understanding the impacts of underlying surfaces on UHL The calculation of UHI intensity (UHII) requires observations from paired stations in both urban and rural areas.Due to the limited number of paired meteorological stations,many studies have used remotely sensed land surface temperature,but these time-series land surface temperature data are often heavily affected by cloud cover and other factors.These factors,together with the algorithm for inversion of land surface temperature,lead to accuracy problems in detecting the UHII,especially in cities with weak UHII.Based on meteorological observations from the Oklahoma Mesonet,a world-class network,we quantified the UHII and trends in eight cities of the Great Plains,USA,where data from at least one pair of urban and rural meteorological stations were available.We examined the changes and variability in urban temperature,UHII,vegetation condition (as measured by enhanced vegetation index,EVI),and evapotranspiration (ET).We found that both UHI and urban cold islands (UCI) occurred among the eight cities during 2000-2014 (as measured by impervious surface area).Unlike what is generally considered,UHII in only three cities significantly decreased as EVI and ET increased (p < 0.1),indicating that the UHI or UCI cannot be completely explained simply from the perspective of the underlying surface.Increased vegetative cover (signaled by EVI) can increase ET,and thereby effectively mitigate the UHI.Each study station clearly showed that the underlying surface or vegetation affects urban-rural temperature,and that these factors should be considered during analysis of the UHI effect over time. | Yaoping CUI Xiangming XIAO Russell B DOUGHTY Yaochen QIN Sujie LIU Nan LI Guosong ZHAO Jinwei DONG | 2019 | Frontiers of Earth Science2019，13，2： | 2 |
| 5 | Continued Increases of Gross Primary Production in Urban Areas during 2000-2016显示文摘Urbanization affects vegetation within city administrative boundary and nearby rural areas.Gross primary production(GPP)of vegetation in global urban areas is one of important metrics for assessing the impacts of urbanization on terrestrial ecosystems.To date,very limited data and information on the spatial-temporal dynamics of GPP in the global urban areas are available.In this study,we reported the spatial distribution and temporal dynamics of annual GPP during 2000–2016 from 8,182 gridcells(0.5°by 0.5°latitude and longitude)that have various proportion of urban areas.Approximately 79.3%of these urban gridcells had increasing trends of annual GPP during 2000-2016.As urban area proportion(%)within individual urban gridcells increased,the means of annual GPP trends also increased.Our results suggested that for those urban gridcells,the negative effect of urban expansion(often measured by impervious surfaces)on GPP was to large degree compensated by increased vegetation within the gridcells,mostly driven by urban management and local climate and environment.Our findings on the continued increases of annual GPP in most of urban gridcells shed new insight on the importance of urban areas on terrestrial carbon cycle and the potential of urban management and local climate and environment on improving vegetation in urban areas. | Yaoping Cui Xiangming Xiao Jinwei Dong Yao Zhang Yuanwei Qin Russell BDoughty Xiaocui Wu Xiaoyan Liu Joanna Joiner Berrien Moore III | 2022 | Journal of Remote Sensing2022，，1： | 0 |
| 6 | Radiofrequency ablation of hepatocellular carcinoma: Current status,challenges, and prospects显示文摘Local ablation technologies, such as radiofrequency ablation (RFA), microwave ablation (MWA) andcryoablation, have become a standard treatment option for hepatocellular carcinoma (HCC) less than5 cm in size, particularly in individuals who are not candidates for hepatectomy. Except for equivalentprognosis and efficiency, RFA has various advantages over surgical excision, including a lower rate ofcomplications, a cheaper cost, more normal tissue preservation, and a shorter hospital stay. However, therate of tumor recurrence and/or distant metastasis after RFA therapy is still high. RFA has been widelyemployed in multiple cancers, large cancer, and lesion identified at “high-risk” sites in recent years, withthe advancement of ablation types and operating techniques, particularly the combined use of manytechnologies. The real value of RFA technology has been more fully reflected.We will examine the status,progress, and problems of RFA in the treatment of HCC in this review. | Hongye Wang Zhaorong Wu Dan Cui Yaoping Shi Bo Zhai | 2023 | Liver Research2023，7，2： | 0 |
| 7 | Combined local therapy and CAR-GPC3 T-cell therapy in advanced hepatocellular carcinoma:a proof-of-concept treatment strategy显示文摘Dear Editor,Available evidence regarding the most suitable treatment strategies for hepatocellular carcinoma(HCC)with inferior vena cava tumor thrombus(IVCTT)is extremely limited,and the median overall survival time for these patients after liver resection is only 17.76 months[1].Other local or systemic treatments for HCC with IVCTT result in a median overall survival time ranging from 5.88 to 15.36 months[1–3].Thus,new therapeutic strategies are urgently needed to improve the survival of HCC patients with IVCTT.Chimeric antigen receptor(CAR)T-cell therapy has seen success in treating B-cell neoplasms with impressive outcomes[4].However,this therapy alone has shown limited efficacy on solid tumors,such as HCC[5]. | Yaoping Shi Donghua Shi Jiachang Chi Dan Cui Xiaoyin Tang Yan Lin Siying Wang Zonghai Li Haojie Jin Bo Zhai | 2023 | Cancer Communications2023，43，9： | 0 |
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