机构地区:[1]State Key Laboratory of Urban and Regional Ecology,Research Center for Eco-Environmental Sciences,Chinese Academy of Sciences,Beijing 100085,China [2]Institute of Forestry and Pomology,Beijing Academy of Agriculture and Forestry Sciences,Beijing 100093,China [3]South China Institute of Botany,Chinese Academy of Sciences,Guangzhou 510650,China [4]Beijing Teaching Botanical Garden,Beijing 100061,China
出 处:《Journal of Environmental Sciences》2012年第7期1278-1287,共10页环境科学学报(英文版)
基 金:supported by the National Natural Science Foundation of China (No. 41030744, 31170424);the Special Foundation of State Key Laboratory of Urban and Regional Ecology (No. SKLURE2008-1)
摘 要:Transpiration patterns of Aesculus chinensis in relation to explanatory variables in the microclimatic, air quality, and biological phenomena categories were measured in Beijing, China using the thermal dissipation method. The highest transpiration rate measured as the sap flux density of the trees took place from 10:00 am to 13:00 pm in the summer and the lowest was found during nighttime in the winter. To sort out co-linearity, principal component analysis and variation and hierarchical partitioning methods were employed in data analyses. The evaporative demand index (EDI) consisting of air temperature, soil temperature, total radiation, vapor pressure deficit, and atmospheric ozone (O3), explained 68% and 80% of the hourly and daily variations of the tree transpiration, respectively. The independent and joint effects of EDI variables together with a three-variable joint effect exerted the greatest influences on the variance of transpiration rates. The independent effects of leaf area index and atmospheric 03 and their combined effect exhibited minor yet significant influences on tree transpiration rates.Transpiration patterns of Aesculus chinensis in relation to explanatory variables in the microclimatic, air quality, and biological phenomena categories were measured in Beijing, China using the thermal dissipation method. The highest transpiration rate measured as the sap flux density of the trees took place from 10:00 am to 13:00 pm in the summer and the lowest was found during nighttime in the winter. To sort out co-linearity, principal component analysis and variation and hierarchical partitioning methods were employed in data analyses. The evaporative demand index (EDI) consisting of air temperature, soil temperature, total radiation, vapor pressure deficit, and atmospheric ozone (O3), explained 68% and 80% of the hourly and daily variations of the tree transpiration, respectively. The independent and joint effects of EDI variables together with a three-variable joint effect exerted the greatest influences on the variance of transpiration rates. The independent effects of leaf area index and atmospheric 03 and their combined effect exhibited minor yet significant influences on tree transpiration rates.
关 键 词:horse chestnut sap flux density MICROCLIMATE air pollutants leaf area index
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