Departamento de Ecología y Recursos Naturales, Facultad de Ciencias, Universidad Nacional Autónoma de México, México, 04510 DF, Mexico.
Int J Biometeorol. 2012 Mar;56(2):305-18. doi: 10.1007/s00484-011-0434-5. Epub 2011 May 8.
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.
分析环境变量和相关幼苗与幼树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。在墨西哥南部的 Teipan 云雾林中,采用地统计学分析方法在 1 公顷的尺度上分析了环境变量和幼树群落变量的空间结构程度(即空间自相关);为每一组变量拟合半变异模型后,通过交叉变程图检查两组变量之间的关系。通过条件模拟方法获得了幼树群落变量(密度、盖度、物种丰富度以及死亡率和补充率)的克立格图。林冠开阔度、总太阳辐射、凋落物深度、土壤温度和土壤湿度具有空间结构,幼树密度、物种丰富度和幼树死亡率也是如此。环境和幼树群落变量半变异图的平均范围分别为 13.14±3.67 m 和 12.68±5.71 m(±SE)。凋落物深度的空间结构与幼树密度、物种丰富度和幼树群落盖度的空间结构呈负相关;反过来,土壤水分的空间结构与补充率的空间结构呈正相关。这些生物物理变量和幼树群落变量的空间结构之间的关联表明,该云雾林的再生过程是由不同小生境的存在驱动的,这些小生境主要由凋落物深度的变化来刻画,在这些小生境中,树种的幼苗遇到了一系列成功建立和生存的机会。