|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | 基于地理加权回归模型评估土地利用对地表水质的影响显示文摘针对传统线性回归模型大多忽视空间数据局部变化特征这一缺陷,引入地理加权回归模型(GWR)用于评估土地利用对地表水质的影响,分析了不同子流域内两者关系出现空间变化的规律并阐释了原因.同时,对比了GWR模型与普通最小二乘模型(OLS)的校正R2、Akaike信息准则(AICc)及残差的空间自相关指数(Moran's I),验证了GWR模型在预测精度和处理空间自相关过程中是否优于OLS模型.结果表明,同一土地利用类型对水质的影响随空间位置的改变而发生方向或大小的变化.以温瑞塘河流域总氮(TN)与农用地的关系为例,从GWR模型局部回归系数的方向分析,两者关系表现为农村正、城区负的现象,从大小分析,旧城区TN与农用地回归系数的绝对值高于其它区域;在溶解氧(DO)与人口密度所构建的GWR模型中,两者关系在整个研究区域内均表现为负值,与OLS结果吻合,从回归系数的大小分析,人口密度对DO的作用在郊区及农村更为显著.针对此类关系出现空间变化的原因分析表明,相邻子流域土地利用百分比的改变及水体主要污染源的不同,是导致土地利用对水质作用发生变化的根本因素.最后,对比所构建的80个GWR与OLS模型校正R2、AICc指标,验证了GWR作为一种局部统计模型,其预测精度优于OLS等传统全局模型且更能反映实际空间特征. | 陈强 朱慧敏 何溶 Randy A.Dahlgren 张明华 梅琨 | 2015 | 环境科学学报2015，35，5： | 27 |
| 2 | 土地利用方式对流域氮输入输出关系的影响--以加州San Joaquin流域为例显示文摘土地利用方式影响流域氮输入的空间分布和氮素的迁移输出过程,与非点源污染的防治密切相关。本文利用加州San Joaquin流域数据,考虑不同土地利用方式的影响,在GIS平台上分析了流域氮输入与输出的关系及其空间分布。本文提出了一个新的指标(F=CN/(L/Q))来衡量河流氮输出的变化趋势,该指标综合考虑了田间产流和河道输移两个过程的影响因子,能够描述土地利用类型对流域氮素迁移转化的影响。在实例研究中,通过该指标能够指示出研究区氮素流失的高风险区,为流域土地利用规划和非点源污染防治提供了重要的科学依据。 | 韩震 罗燏辀 王中根 Randy A.Dahlgren | 2010 | 地理科学进展2010，29，9： | 7 |
| 3 | Diurnal variability in riverine dissolved organic matter composition determined by in situ optical measurement in the San Joaquin River (California, USA)显示文摘 | Robert G. M.Spencer Brian A.Pellerin Brian A.Bergamaschi Bryan D.Downing Tamara E. C.Kraus David R.Smart Randy A.Dahlgren Peter J.Hernes | 2007 | Hydrol Process2007，，23： | 1 |
| 4 | Molecular signatures of soil-derived dissolved organic matter constrained by mineral weathering显示文摘Dissolved organic matter(DOM)in soils drives biogeochemical cycling and soil functions in different directions depending on its molecular signature.Notably,there is a distinct paucity of information concerning how the molecular signatures of soil DOM vary with different degrees of weathering across wide geographic scales.Herein,we resolved the DOM molecular signatures from 22 diverse Chinese reference soils and linked them with soil organic matter and weathering-related mineralogical properties.The mixed-effects models revealed that the yields of DOM were determined by soil organic carbon content,whereas the molecular signature of DOM was primarily constrained by the weathering-related dimension.The soil weathering index showed a positive effect on the lability and a negative effect on the aromaticity of DOM.Specifically,DOM in highly weathered acidic soils featured more amino sugars,carbohydrates,and aliphatics,as well as less O-rich polyphenols and condensed aromatics,thereby conferring a higher DOM biolability and lower DOM aromaticity.This study highlights the dominance of the weathering-related dimension in constraining the molecular signatures and potential functions of DOM in soils across a wide geographic scale. | Ying-Hui Wang Peng Zhang Chen He Jian-Chun Yu Quan Shi Randy A.Dahlgren Robert G.M.Spencer Zhi-Bing Yang Jun-Jian Wang | 2023 | Fundamental Research2023，3，3： | 0 |
| 5 | Soil Biogeochemical Cycle Couplings Inferred from a Function-Taxon Network显示文摘Soil biogeochemical cycles and their interconnections play a critical role in regulating functions and services of environmental systems.However,the coupling of soil biogeochemical processes with their mediating microbes remains poorly understood.Here,we identified key microbial taxa regulating soil biogeochemical processes by exploring biomarker genes and taxa of contigs assembled from metagenomes of forest soils collected along a latitudinal transect(18°N to 48°N)in eastern China.Among environmental and soil factors,soil pH was a sensitive indicator for functional gene composition and diversity.A function-taxon bipartite network inferred from metagenomic contigs identified the microbial taxa regulating coupled biogeochemical cycles between carbon and phosphorus,nitrogen and sulfur,and nitrogen and iron.Our results provide novel evidence for the coupling of soil biogeochemical cycles,identify key regulating microbes,and demonstrate the efficacy of a new approach to investigate the processes and microbial taxa regulating soil ecosystem functions. | Bin Ma Erinne Stirling Yuanhui Liu Kankan Zhao Jizhong Zhou Brajesh K.Singh Caixian Tang Randy A.Dahlgren Jianming Xu | 2021 | Research2021，，1： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员