The quality dimension of the urban living space was addressed much earlier abroad; nevertheless, it has not been studied in the Chinese academia up to date, as evidenced by the limited research literature. Through rec...The quality dimension of the urban living space was addressed much earlier abroad; nevertheless, it has not been studied in the Chinese academia up to date, as evidenced by the limited research literature. Through recourse to Rich BOYER′s nine-factor theory, this study attempted to evaluate and rank 31 target cities, by using the data from the China Statistical Yearbook 2002. Our research results show that the quality of a city′s living space is in positive correlation with its size, and that there will be changing demands for the quality of the urban living space as a result of future social, economic, sci-tech, cultural and educational developments, combined with the improvement of the overall quality of urban residents. Previous research was focused on the quality of food, housing, education, transportation and entertainment. However, with the development of the knowledge-economy, such factors as information accessibility, green environment, and air quality, will be major considerations in the quality evaluation of the urban living space.展开更多
Exploring the impact of climate factors on vegetation phenology is crucial to understanding climate–vegetation interactions as well as carbon and water cycles in ecosystems in the context of climate change.In this ar...Exploring the impact of climate factors on vegetation phenology is crucial to understanding climate–vegetation interactions as well as carbon and water cycles in ecosystems in the context of climate change.In this article,we extracted the vegetation phenology data from 2002 to 2021 based on the dynamic threshold method in the source region of the Yangtze and Yellow Rivers.Trend and correlation analyses were used to investigate the relationship between vegetation phenology and temperature,precipitation and their spatial evolution characteristics.The results showed that:(i)From 2002 to 2021,the multi-year average start of growing season(SOS),end of growing season(EOS)and length of growing season(LOS)for plants were concentrated in May,October and 4–6 months,with a trend of 4.9 days(earlier),1.5 days(later),6.3 days/10 a(longer),respectively.(ii)For every 100 m increase in elevation,SOS,EOS and LOS were correspondingly delayed by 1.8 days,advanced by 0.8 days and shortened by 2.6 days,respectively.(iii)The impacts of temperature and precipitation on vegetation phenology varied at different stages of vegetation growth.Influencing factors of spring phenology experienced a shift from temperature to precipitation,while autumn phenology experienced precipitation followed by temperature.(iv)The climate factors in the previous period significantly affected the vegetation phenology in the study area and the spatial variability was obvious.Specifically,the temperature in April significantly affected the spring phenology and precipitation in August widely affected the autumn phenology.展开更多
基金Under theauspices oftheNational Natural Science Foundation of China (No.40071032)
文摘The quality dimension of the urban living space was addressed much earlier abroad; nevertheless, it has not been studied in the Chinese academia up to date, as evidenced by the limited research literature. Through recourse to Rich BOYER′s nine-factor theory, this study attempted to evaluate and rank 31 target cities, by using the data from the China Statistical Yearbook 2002. Our research results show that the quality of a city′s living space is in positive correlation with its size, and that there will be changing demands for the quality of the urban living space as a result of future social, economic, sci-tech, cultural and educational developments, combined with the improvement of the overall quality of urban residents. Previous research was focused on the quality of food, housing, education, transportation and entertainment. However, with the development of the knowledge-economy, such factors as information accessibility, green environment, and air quality, will be major considerations in the quality evaluation of the urban living space.
基金supported by the National Key Research and Development Project(2022YFC3201704)the National Natural Science Foundation of China(52079008,52009006,52109038)+2 种基金the Research Fund of Key Laboratory of Water Management and Water Security for Yellow River Basin,Ministry of Water Resources(2023-SYSJJ-10)the Natural Science Foundation of Hubei Province(2022CFB554,2022CFD037)National Public Research Institutes for Basic R&D Operating Expenses Special Project(CKSF2023311/SZ).
文摘Exploring the impact of climate factors on vegetation phenology is crucial to understanding climate–vegetation interactions as well as carbon and water cycles in ecosystems in the context of climate change.In this article,we extracted the vegetation phenology data from 2002 to 2021 based on the dynamic threshold method in the source region of the Yangtze and Yellow Rivers.Trend and correlation analyses were used to investigate the relationship between vegetation phenology and temperature,precipitation and their spatial evolution characteristics.The results showed that:(i)From 2002 to 2021,the multi-year average start of growing season(SOS),end of growing season(EOS)and length of growing season(LOS)for plants were concentrated in May,October and 4–6 months,with a trend of 4.9 days(earlier),1.5 days(later),6.3 days/10 a(longer),respectively.(ii)For every 100 m increase in elevation,SOS,EOS and LOS were correspondingly delayed by 1.8 days,advanced by 0.8 days and shortened by 2.6 days,respectively.(iii)The impacts of temperature and precipitation on vegetation phenology varied at different stages of vegetation growth.Influencing factors of spring phenology experienced a shift from temperature to precipitation,while autumn phenology experienced precipitation followed by temperature.(iv)The climate factors in the previous period significantly affected the vegetation phenology in the study area and the spatial variability was obvious.Specifically,the temperature in April significantly affected the spring phenology and precipitation in August widely affected the autumn phenology.
