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Scale specific determinants of tree diversity in an old growth temperate forest in China
Authors:Zuoqiang Yuan  Antonio Gazol  Xugao Wang  Fei Lin  Ji Ye  Xuejiao Bai  Buhang Li  Zhanqing Hao
Institution:aState Key Laboratory of Forest and Soil Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, PR China;bGraduate University of Chinese Academy of Science, Beijing 100049, PR China;cInstitute of Ecology and Earth Sciences, University of Tartu, Lai 40, Tartu 51005, Estonia
Abstract:The major processes generating pattern in plant community composition depend upon the spatial scale and resolution of observation, therefore understanding the role played by spatial scale on species patterns is of major concern. In this study, we investigate how well environmental (topography and soil variables) and spatial variables explain variation in species composition in a 25-ha temperate forest in northeastern China. We used new variation partitioning approaches to discover the spatial scale (using multi-scale spatial PCNM variables) at which environmental heterogeneity and other spatially structured processes influence tree community composition. We also test the effect of changing grain of the study (i.e. quadrat size) on the variation partitioning results. Our results indicate that (1) species composition in the Changbai mixed broadleaf-conifer forest was controlled mainly by spatially structured soil variation at broad scales, while at finer scales most of the explained variation was of a spatial nature, pointing to the importance of biotic processes. (2) These results held at all sampling grains. However, reducing quadrat size progressively reduced both spatially and environmentally explained variance. This probably partly reflects increasing stochasticity in species abundances, and the smaller proportion of quadrats occupied by each species, when quadrat size is reduced. The results suggest that environmental heterogeneity (i.e. niche processes) and other biotic processes such as dispersal work together, but at different spatial scales, to build up diversity patterns.
Keywords:Changbai  PCNM variables  Sampling grain  Soil factors  Spatial scale  Variation partitioning
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