COS 65-9 - Species associations in an old-growth temperate forest, northeastern China

Wednesday, August 5, 2009: 10:50 AM
Grand Pavillion V, Hyatt
Xugao Wang1, Thorsten Wiegand2, Buhang Li3, Ji Ye3, Jian Zhang4 and Zhanqing Hao1, (1)Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China, (2)Ecological Modelling, Helmholtz Center for Environmental Research - UFZ, Leipzig, Germany, (3)Shenyang institute of Applied Ecology, Chinese Academy of Sciences, China, (4)Department of Renewable Resources, University of Alberta, Edmonton, AB, Canada
Background/Question/Methods Studying the spatial pattern of plants can provide significant insights into processes and mechanisms that maintain species richness. We used data from a fully mapped 25ha temperate forest plot at Changbaishan (CBS), Northeastern China, to conduct a community wide assessment of the type and frequency of intra- and interspecific spatial association patterns. More specifically, we tested for non-random spatial patterning among 15 common species and classified the types of association patterns at different spatial scales. This test may depict the joined effects of dispersal limitation, environmental association and species interactions. Next, we used heterogeneous Poisson null models to test selectively for non-random small-scale (0-20m) and large-scale (50-250m) association patterns which may be primarily caused by species interactions and environmental association, respectively.

Results/Conclusions We found ample evidence for non-random spatial pattering, and the type and frequency of spatial association patterns changed with scale. Trees of most species pairs co-occurred at all spatial scales investigated less than expected by chance and positive associations were rare at small neighborhoods. When selectively testing for small-scale effects we found that one third of all species pairs maintained significant and mostly negative small-scale associations. Negative associations occurred generally between species which shared one or more attributes such as light guild, fruit type, or dispersal agent. Selectively testing for positive larger-scale association revealed that only 8% of all species pairs co-occurred at large scales.

       The finding that aligned species showed frequently significant and negative small scale associations provides strong evidence for the occurrence of competitive interactions. This is not in accordance with neutral theory. Analogous analyses of data from tropical forests, however, have shown that only roughly 5% of all species pairs maintained significant small-scale associations. This suggests that the degree of neutrality in a forest may increase with species richness. The techniques presented here allow for a detailed analysis of spatial association that can be widely applied to gain a better understanding of species coexistence.

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