基于集合经验模态分解去趋势的水分利用效率对气候变化响应的高程分异——以“21世纪海上丝绸之路”沿线省份为例  

Elevation differences in the response of ecosystem water use efficiency to climate change based on EEMD detrending:A case study of the provinces along the“21st Century Maritime Silk Road”

作　　者：焦阜生 许小娟 龚海波 刘会玉[1,3,4,5] 林振山 JIAO Fusheng;XU Xiaojuan;GONG Haibo;LIU Huiyu;LIN Zhenshan(School of Geography,Nanjing Normal University,Nanjing 210023,China;Nanjing Institute of Environmental Sciences,Ministry of Ecology and Environment,Nanjing 210042,China;Key Laboratory of Virtual Geographic Environment,Nanjing Normal University,Ministry of Education,Nanjing 210023,China;State Key Laboratory Cultivation Base of Geographical Environment Evolution(Jiangsu Province),Nanjing 210023,China;Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023,China)

机构地区：[1]南京师范大学地理科学学院,南京210023 [2]生态环境部南京环境科学研究所,南京210042 [3]南京师范大学虚拟地理环境教育部重点实验室,南京210023 [4]江苏省地理环境演化国家重点实验室培育建设点,南京210023 [5]江苏省地理信息资源开发与利用协同创新中心,南京210023

出　　处：《生态学报》2022年第17期6985-6996,共12页Acta Ecologica Sinica

基　　金：国家自然科学基金面上项目(41971382);江苏省科技厅研究生科研创新项目(1812000024462)。

摘　　要：水分利用效率(WUE)是表征陆地碳-水循环耦合关系的重要指标,但其对气候变化响应的高程分异仍不清楚。通过集合经验模态分解(EEMD)去趋势和偏相关方法,以“21世纪海上丝绸之路”沿线省份为研究区,揭示WUE对气候变化的响应及其随高程的分异。研究结果表明:(1)研究区内WUE多年均值由中心向南北递减。不同植被类型的WUE多年均值由高到低依次为:常绿针叶林、混交林、常绿阔叶林、稀树灌木草地、耕地和城市建设用地。(2)51.11%的区域表现出均温与WUE的正相关;而81.46%地区表明温差的扩大会使得WUE增加;有近一半的研究区表明最高温的升高有利于提高WUE,而最低温的作用则相反;有67.99%的区域表明降水增多反而会导致WUE的减少。(3)在大多数土地覆盖类型,日温差和最低温主要与WUE呈正相关,而最高温和降水主要与WUE呈负相关。在常绿针叶林、耕地和城市建设用地,日均温与WUE呈负相关。在其他三种植被类型下则呈正相关。(4)在低海拔地区,均温与WUE呈负相关而在中高海拔地区则转变为正相关关系。而最高温则正好相反。降水与WUE的负相关关系系数随高度的增加而不断加强,而温差和最低温与WUE的正相关关系也随高度的增加而剧烈波动增强。Water use efficiency(WUE)is an important index representing the coupling relationship between terrestrial carbon and water cycle,but the elevation differences in the response of WUE to climate change remains unclear.By Ensemble empirical mode decomposition(EEMD)de-trending and partial correlation methods,this paper takes provinces along the"21 st Century Maritime Silk Road"as examples to reveal the response of WUE to climate change and its differentiation with elevation.The results showed that:(1)the multiyear average WUE decreased from the center to the south and the north.The multiyear average WUE of different vegetation types from high to low was as follows:evergreen needle-leaf forest,mixed forest,evergreen broadleaf forest,deciduous broadleaf forest,savannas,croplands and urban/built-up.(2)About 51.11%of the area showed a positive correlation between average temperature and WUE,and 81.46%of the area showed that diurnal temperature and WUE were positively correlated.Nearly half of the study area indicated that the highest temperature had positive coefficient with WUE,while the lowest temperature was the opposite.In 67.99%of the area,increasing precipitation led to less WUE.(3)In most land cover types,the daily diurnal temperature range and the minimum temperature were mainly positively correlated with WUE,while the maximum temperature and precipitation were negatively correlated with WUE.In evergreen coniferous forests,croplands and urban/built-up,the daily average temperature was negatively correlated with WUE,while it was positive correlation in the other three vegetation types.(4)Average temperature had a negative coefficient with WUE in the low-altitude area,while the coefficient was positive in the mid-and high-altitude area.But it was the opposite in the relationship between the maximum temperature and WUE.The negative correlation between average precipitation and WUE became stronger with altitude rising.Meanwhile,the positive correlation between diurnal temperature and WUE,the minimum temperature and W

关 键 词：水分利用率 气候变量 集合经验模态分解(EEMD) 去趋势 偏相关 

分 类 号：Q945[生物学—植物学]