Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.geoderma.2017.12.023 |
Detecting nonlinearity in the spatial series of nitrous oxide emission by delay vector variance | |
Zou, Wenxiu1; Ji, Wenjun2; Si, Bing Cheng3; Biswas, Asim4 | |
通讯作者 | Biswas, Asim |
来源期刊 | GEODERMA
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ISSN | 0016-7061 |
EISSN | 1872-6259 |
出版年 | 2018 |
卷号 | 317页码:23-31 |
英文摘要 | Soil spatial variability may exhibit nonlinearity and this has been assumed in studies without proper quantification. Owing to the complexity of underlying biogeochemical processes, greenhouse gas emission, in particular, nitrous oxide (N2O) flux from soil, is highly variable over space and time. The goal of this work was to examine the nonlinearity associated with the spatial series of N2O flux from soil using the delay vector variance (DVV) method. DVV uses the predictability of a spatial series in a phase-space to identify linearity/nonlinearity within a data series using a surrogate data methodology to derive a test statistic. A two-piece closed vented chamber was used to measure N2O fluxes along a transect of 128 points located within the hummocky landscape of central Saskatchewan, Canada. There was nonlinearity associated with the spatial series of early spring and spring measurements. The uneven distribution of snowmelt water facilitated the favourable situations for denitrifying bacterial activity creating hotspots for denitrification processes. The flux measured during the fall season exhibited a nonlinear pattern, whereas the flux measured during the time of plant growth exhibited a linear pattern over space. Strong evapotranspiration demand during the growing season in the semi-arid climate of the study area controlled the hydrological processes and thus, the spatial N2O flux measurements giving rise to a linear spatial pattern. The DVV detected nonlinearity in a spatial series will improve the understanding of the complexity of underlying soil processes. |
英文关键词 | Nonlinearity Data analysis Spatial and temporal variability Greenhouse gas Climate change |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China ; Canada |
收录类别 | SCI-E |
WOS记录号 | WOS:000424729100004 |
WOS关键词 | SOIL-WATER STORAGE ; HUMMOCKY LANDSCAPE ; WAVELET ANALYSIS ; N2O EMISSIONS ; NITRIC-OXIDE ; DENITRIFICATION ; SCALE ; FLUX ; PATTERNS |
WOS类目 | Soil Science |
WOS研究方向 | Agriculture |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/209581 |
作者单位 | 1.Chinese Acad Sci, Northeast Inst Geog & Agroecol, 138 Hoping Rd, Harbin 150081, Heilongjiang, Peoples R China; 2.McGill Univ, Dept Bioresource Engn, 21111 Lakeshore Rd, Ste Anne De Bellevue, PQ H9X 2V9, Canada; 3.Univ Saskatchewan, Dept Soil Sci, 51 Campus Dr, Saskatoon, SK S7N 5A8, Canada; 4.Univ Guelph, Sch Environm Sci, 50 Stone Rd East, Guelph, ON N1G 2W1, Canada |
推荐引用方式 GB/T 7714 | Zou, Wenxiu,Ji, Wenjun,Si, Bing Cheng,et al. Detecting nonlinearity in the spatial series of nitrous oxide emission by delay vector variance[J],2018,317:23-31. |
APA | Zou, Wenxiu,Ji, Wenjun,Si, Bing Cheng,&Biswas, Asim.(2018).Detecting nonlinearity in the spatial series of nitrous oxide emission by delay vector variance.GEODERMA,317,23-31. |
MLA | Zou, Wenxiu,et al."Detecting nonlinearity in the spatial series of nitrous oxide emission by delay vector variance".GEODERMA 317(2018):23-31. |
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