2 0 0 0 OA 点過程による樹木分布地図の解析とモデリング
- 著者
- 島谷 健一郎
- 出版者
- 日本生態学会
- 雑誌
- 日本生態学会誌 (ISSN:00215007)
- 巻号頁・発行日
- vol.51, no.2, pp.87-106, 2001-08-30
- 被引用文献数
- 8
This paper reviews the point process theory focusing on applications to spatial ecology when data are given by a tree distribution map, often together with additional information such as tree size, species, and genotype.Beginning with a rather intuitive definition of point processes, this paper explains several functions that are useful for illustrating the basic characteristics of tree spatial patterns, followed by remarks about the basic assumption of stationality and isotropy.A variety of convenient statistics that express spatial patterns for additional information are introduced with reference to tree sizes, species, and genotypes.When such exploratory analysis reveals some characteristic spatial patterns, the nest step is to construct mathematical models that can explain a given tree distribution, then checking the model fitting by simulation.Currently, the point process theory itself is at the developmental stage and its practical power in ecology is uncertain.However, it can, at least, be applied to exploratory analysis for finding basic characteristics in spatial patterns.Point processing can be expected to have various other applications for analyzing mapped data.
1 0 0 0 OA 空間的遺伝構造と分化の図示 : その変化でgene flowを観る試み
- 著者
- 島谷 健一郎 齋藤 大輔 川口 英之 舘野 隆之輔 井鷺 裕司
- 出版者
- 一般社団法人 日本生態学会
- 雑誌
- 日本生態学会誌 (ISSN:00215007)
- 巻号頁・発行日
- vol.54, no.3, pp.165-178, 2004-12-25 (Released:2017-05-26)
- 参考文献数
- 32
- 被引用文献数
- 1
Genes move between plants through reproduction, in a process known as gene flow. There are various statistical methods for quantifying current spatial genetic structures of populations, and the recent development of highly polymorphic markers has made it possible to identify gene flow between individuals with high accuracy. Nonetheless, none of the previous methods provides satisfactory visual imaging of the continuously changing spatial genetic structure resulting from gene flow and reproduction. In this study, we developed visualization techniques for illustrating spatial genetic structures on commonly used spreadsheet files, for one specific case study. When combined with basic gene flow models over two generations, we can quantitatively assess the effects of ecological factors in reproduction on spatial genetic structures of offspring, together with visual illustrations. Consequently, for the specific population, we can easily recognize how spatial genetic structure is affected by the density of parents and distance distributions of pollen and seed dispersal, and that if the ratio of maternal adults succeeding in reproduction is small, then extensive pollen flow will be necessary in order to preserve the current genetic diversity.