Environmental control and spatial structures in peatland vegetation

被引:49
作者
Andersen, R. [1 ,2 ,5 ]
Poulin, M. [1 ,2 ,3 ]
Borcard, D. [4 ]
Laiho, R. [3 ]
Laine, J. [3 ,6 ]
Vasander, H. [3 ]
Tuittila, E. -T. [3 ]
机构
[1] Univ Laval, Grp Rech Ecol Tourbieres PERG, Ste Foy, PQ G1K 7P4, Canada
[2] Univ Laval, CEN, Ste Foy, PQ G1K 7P4, Canada
[3] Univ Helsinki, Dept Forest Sci, Peatland Ecol Grp, FIN-00014 Helsinki, Finland
[4] Univ Montreal, Dept Sci Biol, Montreal, PQ H3C 3J7, Canada
[5] James Hutton Inst, Aberdeen AB15 8QH, Scotland
[6] Finnish Forest Res Inst, FI-39700 Parkano, Finland
基金
加拿大自然科学与工程研究理事会; 芬兰科学院;
关键词
Peatland ecology; Principal coordinates of neighbour matrices (PCNM); Spatial autocorrelation; Spatial dependence processes; Variation partitioning; Vegetation structures; WATER-LEVEL DRAWDOWN; DRAINED PINE MIRES; ECOLOGICAL GRADIENTS; SPECIES RESPONSES; BETA-DIVERSITY; SPHAGNUM; COMMUNITY; SCALE; PATTERNS; FENS;
D O I
10.1111/j.1654-1103.2011.01295.x
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Question: What are the relative influences of environment and space in structuring the plant composition in a peatland complex? Location: Lakkasuo, southern boreal zone, Finland. Method: We used principal coordinates of neighbour matrices (PCNM) to model spatial structures in the plant composition of a peatland complex comprising ombrotrophic and minerotrophic, open and forested areas. We used redundancy analyses (RDA) and variation partitioning to assess the relative influences of chemical variables (peat and water characteristics), physical variables (hydrology, soil properties, shade), as well as broad-scale (4350 m) and medium-scale (100-350 m) spatial structures on vegetation assemblages. Results: We identified five different significant spatial patterns circumscribing (1) the minerotrophic-ombrotrophic gradient; (2) dry ombrotrophic and wet minerotrophic areas; (3) open and shaded areas; (4) dry open/shaded and wet patches within the ombrotrophic areas; and (5) dry open patches and dry forested patches. With spatial structures and environmental variables, we were able to model 30% of the variability in plant composition in the peatland complex, 13% of which was attributable to spatial structures alone. Conclusions: We demonstrated that in the peatland complex, the spatial dependence processes were more important at the broadest scale, and found that patterns at a medium scale might reflect finer-scale patterns that were not investigated here. Spatial autocorrelation in vegetation composition in the peatland complex appeared to be driven by Sphagnum species. Our results emphasize that spatial modelling should be routinely implemented in studies looking at species composition, since they significantly increase the explained proportion of variance.
引用
收藏
页码:878 / 890
页数:13
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