DOI: 10.1007/s10533-013-9913-6
Scopus记录号: 2-s2.0-84896342630
论文题名: Biodiversity effects on nitrate concentrations in soil solution: A Bayesian model
作者: Leimer S. ; Wirth C. ; Oelmann Y. ; Wilcke W.
刊名: Biogeochemistry
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 118, 期: 2018-01-03 起始页码: 141
结束页码: 157
语种: 英语
英文关键词: Bayesian model
; Biodiversity
; Nitrate in soil solution
; The Jena Experiment
Scopus关键词: arable land
; Bayesian analysis
; biodiversity
; concentration (composition)
; crop plant
; ecological modeling
; experimental design
; functional group
; grassland
; heterogeneity
; mineral
; nitrogen compound
; nitrogen cycle
; plant community
; soil depth
; soil moisture
; soil nitrogen
; soil temperature
; soil texture
; species diversity
; species richness
英文摘要: Ecosystems are faced with high rates of species loss which has consequences for their functions and services. To assess the effects of plant species diversity on the nitrogen (N) cycle, we developed a model for monthly mean nitrate (NO3-N) concentrations in soil solution in 0-30 cm mineral soil depth using plant species and functional group richness and functional composition as drivers and assessing the effects of conversion of arable land to grassland, spatially heterogeneous soil properties, and climate. We used monthly mean NO3-N concentrations from 62 plots of a grassland plant diversity experiment from 2003 to 2006. Plant species richness (1-60) and functional group composition (1-4 functional groups: legumes, grasses, non-leguminous tall herbs, non-leguminous small herbs) were manipulated in a factorial design. Plant community composition, time since conversion from arable land to grassland, soil texture, and climate data (precipitation, soil moisture, air and soil temperature) were used to develop one general Bayesian multiple regression model for the 62 plots to allow an in-depth evaluation using the experimental design. The model simulated NO3-N concentrations with an overall Bayesian coefficient of determination of 0.48. The temporal course of NO3-N concentrations was simulated differently well for the individual plots with a maximum plot-specific Nash-Sutcliffe Efficiency of 0.57. The model shows that NO3-N concentrations decrease with species richness, but this relation reverses if more than approx. 25 % of legume species are included in the mixture. Presence of legumes increases and presence of grasses decreases NO3-N concentrations compared to mixtures containing only small and tall herbs. Altogether, our model shows that there is a strong influence of plant community composition on NO3-N concentrations. © 2013 Springer Science+Business Media Dordrecht. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/83651
Appears in Collections: 气候减缓与适应 气候变化事实与影响
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作者单位: Geographic Institute, University of Bern, Hallerstrasse 12, 3012 Bern, Switzerland; Institute of Biology, Special Botany and Functional Biodiversity Research, University of Leipzig, Johannisallee 21-23, 04103 Leipzig, Germany; Geoecology, University of Tübingen, Rümelinstr. 19-23, 72070 Tübingen, Germany
Recommended Citation:
Leimer S.,Wirth C.,Oelmann Y.,et al. Biodiversity effects on nitrate concentrations in soil solution: A Bayesian model[J]. Biogeochemistry,2014-01-01,118(2018-01-03)