Predicting Populations

Deterministic models are valuable for gaining insight into themechanisms of population dynamics. However, they are not generallyuseful for the practical problem of estimating real populations.Herein we present a method for estimating the birth and deathrates as well as the age structure for a population using only"aggregated" measurements such as total adult deaths and birthrates.The method applies to nonstationary populations with nonlinearbirth and deathrates.     

Two Robin Populations

Capsule This study is the first ever documented evidence of an interglacial refugium during the Last Interglacial for birds in Anatolia and suggests the need of a re-examination of the effects of the Last Interglacial on the geographic distribution and genetic structure of species.

Aims We tested whether, in accordance with the ‘refugia within refugia’ model, multiple refugia existed for Kruper's Nuthatch Sitta krueperi during the Last Glacial Maximum or the species survived along the coastal belt of Anatolia through the Late Quaternary glacial–interglacial cycles.

Methods An ecological niche model was developed to predict the geographic distribution of Kruper's Nuthatch under reconstructed past (the Last Interglacial and the Last Glacial Maximum), present, and projected future bioclimatic conditions. Also, robust coalescent-based analyses were used to assess demographic events over the history of Kruper's Nuthatch.

Results Kruper's Nuthatch survived the Last Glacial Maximum almost along the coastal belt of Anatolia, but not in multiple refugia, and surprisingly, contrary to expectations, it survived the Last Interglacial in southern Anatolia, but not along the coastal belt of Anatolia.

Conclusion A kind of the ‘refugia within refugia’ model (i.e. the ‘refugium within refugium’ model) was supported because range shifts took place within Anatolia (itself also a refugium) for Kruper's Nuthatch.     

Morphological Comparison of Seven Hypotriploid Populations of Meloidogyne arenaria with the Typical Triploid Populations

A morphological comparison of seven hypotriploid populations of Meloidogyne arenaria was made to clarify their taxonomic status, using light and scanning electron microscopy. All populations differed from each other and from the typical triploid M. arenaria by certain features. Differences were not regarded as sufficient to justify recognition of the variants as distinct species. Morphological divergence of populations from the typical M. arenaria was gradual. The most useful characters were stylet and head morphology of males and stylet morphology of females. Perineal patterns and cephalic, stylet, and tail morphologies of second-stage juveniles were of little taxonomic value. Host races 1 and 2 could not be distinguished morphologically. Populations E445 and E551 with the atypical esterase phenotypes M3-F1 and S1-M1, respectively, were morphologically more similar to the typical M. arenaria than populations E255 and E467, which have the most common A2 esterase phenotype of M. arenaria.     

Non-Selective Evolution of Growing Populations

Non-selective effects, like genetic drift, are an important factor in modern conceptions of evolution, and have been extensively studied for constant population sizes (Kimura, 1955; Otto and Whitlock, 1997). Here, we consider non-selective evolution in the case of growing populations that are of small size and have varying trait compositions (e.g. after a population bottleneck). We find that, in these conditions, populations never fixate to a trait, but tend to a random limit composition, and that the distribution of compositions “freezes” to a steady state. This final state is crucially influenced by the initial conditions. We obtain these findings from a combined theoretical and experimental approach, using multiple mixed subpopulations of two Pseudomonas putida strains in non-selective growth conditions (Matthijs et al, 2009) as model system. The experimental results for the population dynamics match the theoretical predictions based on the Pólya urn model (Eggenberger and Pólya, 1923) for all analyzed parameter regimes. In summary, we show that exponential growth stops genetic drift. This result contrasts with previous theoretical analyses of non-selective evolution (e.g. genetic drift), which investigated how traits spread and eventually take over populations (fixate) (Kimura, 1955; Otto and Whitlock, 1997). Moreover, our work highlights how deeply growth influences non-selective evolution, and how it plays a key role in maintaining genetic variability. Consequently, it is of particular importance in life-cycles models (Melbinger et al, 2010; Cremer et al, 2011; Cremer et al, 2012) of periodically shrinking and expanding populations.     

The Distribution of Plant Populations

In studying the distribution of plant species in sample quadratsit may be assumed that the individuals are aggregated into groupsshowing a Poisson distribution, while the number of individualsin each group follows a logarithmic distribution. The resultingcompound distribution of individuals per quadrat is the negativebinomial. Evidence is produced to show that the distributionscalculated on this basis agree with those actually obtainedin the cases examined.     

The Analysis of Biological Populations

Leaf Protein: its Agronomy, Preparation, Quality and Use . IPB Handbook no. 20. Edited by N. W. P irie .
VIIIé Symposium europien sur les maladies à virus des arbres fruitiers . Annales de Phytopathologie.     

昆虫种群的遗传调控

昆虫种群的遗传调控是利用昆虫自身生长发育的关键基因,采用性别控制开关,通过遗传转化使雄虫成为携带导致后代雌虫发育异常或雌性不育的遗传控制复合体（性别开关元件和靶标基因的复合体）．昆虫种群遗传调控是一种基于不育技术的昆虫种群控制系统,具有种类特异、环境友好和便捷高效等特点．目前为止,已经由早期的通过辐射不育方法发展到释放携带显性致死基因昆虫的方法,并在多种昆虫中获得成功．本文综述了昆虫种群遗传调控的发展历程,介绍了昆虫种群遗传调控相关的理论与方法,包括特异的调控元件、致死或缺陷基因和遗传转化体系的应用,并列举了几种昆虫种群遗传调控的实例,最后对于昆虫种群遗传调控系统中存在的问题以及可能的发展方向进行了展望．