Determinants of the distribution of nitrogen-cycling microbial communities at the landscape scale

被引:328
作者
Bru, D. [1 ,2 ]
Ramette, A. [3 ]
Saby, N. P. A. [4 ]
Dequiedt, S. [1 ,2 ,5 ]
Ranjard, L. [1 ,2 ,5 ]
Jolivet, C. [4 ]
Arrouays, D. [4 ]
Philippot, L. [1 ,2 ]
机构
[1] INRA, Dept Soil & Environm Microbiol, UMR 1229, F-21065 Dijon, France
[2] Univ Burgundy, Dept Soil & Environm Microbiol, Dijon, France
[3] Max Planck Inst Marine Microbiol, Microbial Habitat Grp, Bremen, Germany
[4] INRA, US InfoSol 1106, CS 40001, Orleans, France
[5] Platform GenoSol, Dijon, France
关键词
nitrogen cycle; landscape; denitrifiers; ammonia oxidizers; nitrate reducers; biogeography; AMMONIA-OXIDIZING BACTERIA; DENITRIFYING BACTERIA; SPATIAL STRUCTURE; ECOLOGICAL DATA; RIBOSOMAL-RNA; LAND-USE; SOIL; DIVERSITY; ARCHAEA; ABUNDANCE;
D O I
10.1038/ismej.2010.130
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Little information is available regarding the landscape-scale distribution of microbial communities and its environmental determinants. However, a landscape perspective is needed to understand the relative importance of local and regional factors and land management for the microbial communities and the ecosystem services they provide. In the most comprehensive analysis of spatial patterns of microbial communities to date, we investigated the distribution of functional microbial communities involved in N-cycling and of the total bacterial and crenarchaeal communities over 107 sites in Burgundy, a 31 500km(2) region of France, using a 16 x 16 km(2) sampling grid. At each sampling site, the abundance of total bacteria, crenarchaea, nitrate reducers, denitrifiers- and ammonia oxidizers were estimated by quantitative PCR and 42 soil physico-chemical properties were measured. The relative contributions of land use, spatial distance, climatic conditions, time, and soil physico-chemical properties to the spatial distribution of the different communities were analyzed by canonical variation partitioning. Our results indicate that 43-85% of the spatial variation in community abundances could be explained by the measured environmental parameters, with soil chemical properties (mostly pH) being the main driver. We found spatial autocorrelation up to 739km and used geostatistical modelling to generate predictive maps of the distribution of microbial communities at the landscape scale. The present study highlights the potential of a spatially explicit approach for microbial ecology to identify the overarching factors driving the spatial heterogeneity of microbial communities even at the landscape scale. The ISME Journal (2011) 5, 532-542; doi: 10.1038/ismej.2010.130; published online 12 August 2010
引用
收藏
页码:532 / 542
页数:11
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