Determining landscape-level drivers of variability for over fifty soil chemical elements

CORC > 生态环境研究中心 > 中国科学院生态环境研究中心 > 城市与区域生态国家重点实验室

	Determining landscape-level drivers of variability for over fifty soil chemical elements
	Ren, Haiyan ; Zhou, Quanping ; He, Jianbo ; Hou, Ying ; Jiang, Yuehua ; Rodrigues, Jorge L. M.; Cobb, Adam B.; Wilson, Gail W. T.; Hu, Jian ; Zhang, Yingjun
刊名	SCIENCE OF THE TOTAL ENVIRONMENT
	2019-03-20
卷号	657 页码:279-286
关键词	Topsoil Biogeochemistty Biogeography of soil chemistry Climate Temperature Precipitation Soil elements Soil pH
ISSN号	0048-9697
英文摘要	Syntheses of large datasets have allowed increased clarity of distribution patterns and variation in soil major and trace elements. However, the drivers of variation in topsoil elements across biogeographical scales are not well understood. Our aim was to ( I) identify how landscape-scale climate, geographical features, and edaphic factors influence soil elements, and (2) determine key environmental thresholds for shifts in soil element concentration. We analyzed patterns of variation in topsoil elements using 9830 samples collected across 39,000 km(2) in subtropical land in southeast China. Canonical correlations and multiple linear regressions were used to model variations of each element across mean annual temperature (MAT), mean annual precipitation (MAP), land use, spatial topography, and soil pH. Element concentrations show significant latitudinal and longitudinal trends, and are significantly influenced by climate, land use, spatial topography, and soil pH. Longitude, pH, MAT, and MAP were the environmental factors most tightly correlated with element concentrations. Climate and soil pH drove positive or negative alterations in soil elements, with threshold indicators of MAP = 1000 mm/1500 mm, MAT = 173 degrees C/18.0 degrees C, and pH = 5.8/5.0, respectively. Our results indicate topsoil elements have structural and functional thresholds of climate and soil pH in relatively wet and acidic environments. Our findings can facilitate holistic soil element concentration predictions and help elucidate the specific influences of climate and soil pH, enabling development of more complete biogeochemical models. (C) 2018 Elsevier B.V. All rights reserved.
内容类型	期刊论文
源URL	[http://ir.rcees.ac.cn/handle/311016/42711]
专题	生态环境研究中心_城市与区域生态国家重点实验室
作者单位	1.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China 2.Nanjing Inst Geol & Mineral Resources, Nanjing 210016, Jiangsu, Peoples R China 3.Nanjing Agr Univ, Soybean Res Inst, Nanjing 210095, Jiangsu, Peoples R China 4.Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA 95616 USA 5.Nanjing Agr Univ, Coll Agrograssland Sci, Nanjing 210095, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Ren, Haiyan,Zhou, Quanping,He, Jianbo,et al. Determining landscape-level drivers of variability for over fifty soil chemical elements[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2019,657:279-286.
APA	Ren, Haiyan.,Zhou, Quanping.,He, Jianbo.,Hou, Ying.,Jiang, Yuehua.,...&Zhang, Yingjun.(2019).Determining landscape-level drivers of variability for over fifty soil chemical elements.SCIENCE OF THE TOTAL ENVIRONMENT,657,279-286.
MLA	Ren, Haiyan,et al."Determining landscape-level drivers of variability for over fifty soil chemical elements".SCIENCE OF THE TOTAL ENVIRONMENT 657(2019):279-286.