Anand Madhur, Langille Aaron
School of Environmental Sciences, University of Guelph, Guelph, Ontario N1G2W1, Canada.
Theor Popul Biol. 2010 Jun;77(4):219-26. doi: 10.1016/j.tpb.2010.02.004. Epub 2010 Feb 23.
Dispersal is a key mechanism to help populations propagate across space and thus is important in helping to understand spatial patterns. However, it is often difficult to quantify empirically as it requires intensive and detailed field study. Here we describe a method for estimating the effective dispersal distance of tropical plant populations. The method integrates a simple spatially explicit, individual-based dynamic model and spatial statistical analysis. The model is partly parameterized from spatial point pattern data as well as time series data from a 50 ha tropical forest plot in Barro Colorado Island (BCI) in Panama. Correlation between our estimated dispersal distances and those from inverse modeling based on field studies to date on BCI raises some questions about the match between our methods and those previously used. The method we propose can be generalized to any population for which spatial point pattern data are available. Additional field studies would be useful to further validate our method.
扩散是帮助种群在空间中传播的关键机制,因此对于理解空间格局很重要。然而,由于需要深入细致的实地研究,扩散通常很难通过实证进行量化。在此,我们描述一种估算热带植物种群有效扩散距离的方法。该方法整合了一个简单的基于个体的空间明确动态模型和空间统计分析。该模型部分参数化来自空间点模式数据以及来自巴拿马巴罗科罗拉多岛(BCI)一个50公顷热带森林样地的时间序列数据。我们估算的扩散距离与基于BCI迄今实地研究的反演模型所得的扩散距离之间的相关性,引发了一些关于我们的方法与先前使用的方法之间匹配度的问题。我们提出的方法可以推广到任何有空间点模式数据的种群。进一步的实地研究将有助于进一步验证我们的方法。