Suzuki Satoshi N, Kachi Naoki, Suzuki Jun-Ichirou
Department of Biological Sciences, Graduate School of Science and Engineering, Tokyo Metropolitan University, 1-1 Minami-Ohsawa, Hachiohji, Tokyo 192-0397, Japan.
Ann Bot. 2008 Sep;102(3):435-41. doi: 10.1093/aob/mcn113. Epub 2008 Jul 3.
During the development of an even-aged plant population, the spatial distribution of individuals often changes from a clumped pattern to a random or regular one. The development of local size hierarchies in an Abies forest was analysed for a period of 47 years following a large disturbance in 1959.
In 1980 all trees in an 8 x 8 m plot were mapped and their height growth after the disturbance was estimated. Their mortality and growth were then recorded at 1- to 4-year intervals between 1980 and 2006. Spatial distribution patterns of trees were analysed by the pair correlation function. Spatial correlations between tree heights were analysed with a spatial autocorrelation function and the mark correlation function. The mark correlation function was able to detect a local size hierarchy that could not be detected by the spatial autocorrelation function alone.
The small-scale spatial distribution pattern of trees changed from clumped to slightly regular during the 47 years. Mortality occurred in a density-dependent manner, which resulted in regular spacing between trees after 1980. The spatial autocorrelation and mark correlation functions revealed the existence of tree patches consisting of large trees at the initial stage. Development of a local size hierarchy was detected within the first decade after the disturbance, although the spatial autocorrelation was not negative. Local size hierarchies that developed persisted until 2006, and the spatial autocorrelation became negative at later stages (after about 40 years).
This is the first study to detect local size hierarchies as a prelude to regular spacing using the mark correlation function. The results confirm that use of the mark correlation function together with the spatial autocorrelation function is an effective tool to analyse the development of a local size hierarchy of trees in a forest.
在同龄植物种群的发展过程中,个体的空间分布通常会从聚集模式转变为随机或规则模式。对1959年遭受重大干扰后47年间冷杉林局部大小等级的发展进行了分析。
1980年,对一个8×8米样地内的所有树木进行了测绘,并估算了干扰后它们的高度生长情况。然后在1980年至2006年期间,每隔1至4年记录它们的死亡率和生长情况。通过配对相关函数分析树木的空间分布模式。利用空间自相关函数和标记相关函数分析树木高度之间的空间相关性。标记相关函数能够检测到仅靠空间自相关函数无法检测到的局部大小等级。
在这47年中,树木的小尺度空间分布模式从聚集转变为略规则。死亡率以密度依赖的方式发生,这导致1980年后树木之间有规则的间距。空间自相关和标记相关函数揭示了在初始阶段存在由大树组成的树木斑块。在干扰后的头十年内检测到了局部大小等级的发展,尽管空间自相关并非为负。发展起来的局部大小等级一直持续到2006年,且在后期(约40年后)空间自相关变为负。
这是第一项利用标记相关函数检测局部大小等级作为规则间距前奏的研究。结果证实,将标记相关函数与空间自相关函数结合使用是分析森林中树木局部大小等级发展的有效工具。