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Spatial Variability of Soil Carbon to Nitrogen Ratio and Its Driving Factors in Ili River Valley,Xinjiang,Northwest China 被引量:5
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作者 SUN Guojun LI Weihong +1 位作者 ZHU Chenggang CHEN Yaning 《Chinese Geographical Science》 SCIE CSCD 2017年第4期529-538,共10页
Soil carbon to nitrogen(C/N) ratio is one of the most important variables reflecting soil quality and ecological function,and an indicator for assessing carbon and nitrogen nutrition balance of soils.Its variation ref... Soil carbon to nitrogen(C/N) ratio is one of the most important variables reflecting soil quality and ecological function,and an indicator for assessing carbon and nitrogen nutrition balance of soils.Its variation reflects the carbon and nitrogen cycling of soils.In order to explore the spatial variability of soil C/N ratio and its controlling factors of the Ili River valley in Xinjiang Uygur Autonomous Region,Northwest China,the traditional statistical methods,including correlation analysis,geostatistic alanalys and multiple regression analysis were used.The statistical results showed that the soil C/N ratio varied from 7.00 to 23.11,with a mean value of 10.92,and the coefficient of variation was 31.3%.Correlation analysis showed that longitude,altitude,precipitation,soil water,organic carbon,and total nitrogen were positively correlated with the soil C/N ratio(P < 0.01),whereas negative correlations were found between the soil C/N ratio and latitude,temperature,soil bulk density and soil p H.Ordinary Cokriging interpolation showed that r and ME were 0.73 and 0.57,respectively,indicating that the prediction accuracy was high.The spatial autocorrelation of the soil C/N ratio was 6.4 km,and the nugget effect of the soil C/N ratio was 10% with a patchy distribution,in which the area with high value(12.00–20.41) accounted for 22.6% of the total area.Land uses changed the soil C/N ratio with the order of cultivated land > grass land > forest land > garden.Multiple regression analysis showed that geographical and climatic factors,and soil physical and chemical properties could independently explain 26.8%and 55.4% of the spatial features of soil C/N ratio,while human activities could independently explain 5.4% of the spatial features only.The spatial distribution of soil C/N ratio in the study has important reference value for managing soil carbon and nitrogen,and for improving ecological function to similar regions. 展开更多
关键词 soil C/N ratio spatial variability geostatistical analysis Cokriging interpolation multiple regression analysis Ili River valley
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Subjective Well-Being among Empty-Nest Elderly and Its Related Factors:Taking Guangdong Province as an Example 被引量:1
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作者 Yongmei Hou Zixu Guo Que Zheng 《Journal of Geriatric Medicine》 2019年第3期17-24,共8页
Objective:To explore the the status of happiness and social support of empty nesters in Guangdong Province and analyze the relationship between the above two variables.Method:Totally 1148 empty nesters(776 males,734 f... Objective:To explore the the status of happiness and social support of empty nesters in Guangdong Province and analyze the relationship between the above two variables.Method:Totally 1148 empty nesters(776 males,734 females)from 5 cities in Guangdong province are selected by stratified random sampling and conducted with Memorial University of Newfoundland Scale of Happiness(MUNSH),Social Support Rating Scale(SSRS),Mini-Mental State Examination(MMSE)and a self-edited questionnaire on the general information.Results:The total score of MUNSH is(10.20±6.37).The total score and the scores of the 3 dimensions of objective support,subject support,the use of support in SSRS are(30.79±5.51),(9.24±2.37),(19.38±4.95)and(9.22±2.15)respectively.Multiple variable linear regression show that are positively associated with the total scores of MUNSH(B=.227,.115,.098,.158,.082,respectively,P<.05).was negatively associated with total score of MUNSH(B=-.097,P<.05).Conclusion:It suggests that the sort of leisure,gender,progress rank,family characteristics,such as family economic condition and father’s career may be related factors of undergraduates life satisfaction. 展开更多
关键词 Empty nest elderly HAPPINESS Related factors multiple variable linear regression
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