Spatial patterns and interspecific associations of dominant tree species in two old‐growth karst forests, SW China
0106 biological sciences
15. Life on land
01 natural sciences
DOI:
10.1007/s11284-010-0740-0
Publication Date:
2010-07-06T08:53:22Z
AUTHORS (5)
ABSTRACT
AbstractSpatial patterns and interspecific associations of plant species in forests are important for revealing how species interact with each other and with the environment, and hence have important implications for optimal forest management and restoration in degraded forest ecosystems. In this paper, the O‐ring statistics were used to characterize the spatial patterns and interspecific associations of eight dominant tree species in two 1‐ha old‐growth karst forest plots in Maolan National Natural Reserve, southwestern China. We found that most of the eight dominant tree species in two forests were continuously regenerating populations. Six species (Platycarya longipes, Acer wangchii, Clausena dunniana, Castanopsis carlesii var. spinulosa, Distylium myricoides, and Rhododendron latoucheae) exhibited significant aggregations at the majority of scales while others (Celtis biondii and Cyclobalanopsis myrsinaefolia) showed a random distribution pattern at most scales. Negative association was a dominant pattern for most species pairs in the two plots, while positive associations were found at most scales for only two species pairs (Platycarya–Clausena and Castanopsis–Rhododendron). Results also indicated that the two main factors of habitat complexity and heterogeneity—the elevation and rock‐bareness rate—play important roles in determining spatial distribution patterns and interspecific associations of tree species in karst forests of Maolan. Thus, the observed spatial patterns among the eight tree species are influenced by habitat heterogeneity in the context of karst topographical variations. The partitioning of habitat niches contributes to the promoting species coexistence in species‐rich karst forests. The differences of species features in spatial patterns and associations should be paid more attention when planning forest management and developing restoration strategies.
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