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Spatial structure of the abiotic environment and its association with sapling community structure and dynamics in a cloud forest

机译:云林中非生物环境的空间结构及其与幼树群落结构和动态的关系

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Analyzing the relationship between the spatial structures of environmental variables and of the associated seedling and sapling communities is crucial to understanding the regeneration processes in forest communities. The degree of spatial structuring (i.e., spatial autocorrelation) of environmental and sapling community variables in the cloud forest of Teipan, S Mexico, were analyzed at a 1-ha scale using geostatistical analysis; after fitting semivariogram models for each set of variables, the association between the two sets was examined through cross-variograms. Kriging maps of the sapling community variables (density, cover, species richness, and mortality and recruitment rates) were obtained through conditional simulation method. Canopy openness, total solar radiation, litter depth, soil temperature and soil moisture were spatially structured, as were sapling density, species richness and sapling mortality rate. Mean range in semivariograms for environmental and sapling community variables were 13.14 +/- 3.67 and 12.68 +/- 5.71 m (+/- SE), respectively. The spatial structure of litter depth was negatively associated with the spatial structures of sapling density, species richness, and sapling community cover; in turn, the spatial structure of soil moisture was positively associated with the spatial structure of recruitment rate. These associations of the spatial structures of abiotic and sapling community variables suggest that the regeneration processes in this cloud forest is driven by the existence of different microsites, largely characterized by litter depth variations, across which saplings of tree species encounter a range of opportunities for successful establishment and survival.
机译:分析环境变量以及相关的幼苗和树苗群落的空间结构之间的关系对于理解森林群落的再生过程至关重要。使用地统计学方法以1公顷规模分析了墨西哥南部蒂班岛云雾森林中环境和幼树群落变量的空间结构化程度(即空间自相关);在为每组变量拟合半变异函数模型后,通过交叉变异函数检查两组之间的关联。通过条件模拟方法获得了幼树群落变量(密度,覆盖率,物种丰富度以及死亡率和募集率)的克里格图。树冠的开放度,总的太阳辐射量,凋落物的深度,土壤温度和土壤湿度在空间上都是结构化的,树苗密度,物种丰富度和树苗死亡率也是如此。半变异函数的环境变量和树苗群落变量的平均范围分别为13.14 +/- 3.67 m和12.68 +/- 5.71 m(+/- SE)。凋落物深度的空间结构与树苗密度,物种丰富度和树苗群落覆盖率的空间结构呈负相关。反过来,土壤水分的空间结构与吸水率的空间结构呈正相关。非生物和幼树群落变量的空间结构的这些关联表明,这种云林中的再生过程是由不同的微场所的存在驱动的,这些微场所的主要特征是凋落物深度的变化,在这些微场所中,树种的幼树遇到了一系列成功的机会。建立和生存。

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