沙地景观中矢量数据栅格化方法及尺度效应

针对景观生态学研究中的数据转换(矢量数据转换为栅格数据)问题,从斑块面积、周长、数量对转换方法及尺度的响应角度进行了详尽的分析.以库布齐沙漠地区的2003年1:10万的矢量数据为例,转换尺度以10m为起点,200m为终点,10m为间隔,利用最大面积值方法(RMA)和中心属性值方法(RCC)两种转换方法分别进行栅格化,讨论了面积、周长、斑块数量对不同尺度及不同转换方法的响应,同时还讨论了运算时间对转换方法及尺度的响应.得出了"30m大小的转换尺度为最佳尺度,最大面积值方法(RMA)优于中心属性值方法(RCC)"的结论.     

Exogenous polyamines improve rooting of hazel microshoots

A strong positive effect of polyamines on rooting of microshoots of adult hazel (Corylus avellana L., cv. Gironell) is described. The effect of polyamines, both in the root induction solution and in the actual rooting medium, was assessed in order to study the effect on the successive rooting phases. Polyamines improved rooting of indole-3-butyric acid-treated microshoots in a synergistic fashion, perhaps by favouring a better induction of roots, with an acceleration of the response (only half the time required for rooting compared to the control). When applied without indole-3-butyric acid, polyamines had only a limited positive effect on rooting, although longer exposure times and/or higher concentrations could increase their effect. Possible rapid uptake and translocation of polyamines in the xylem in our system is discussed. The results offer a new approach to enhance rooting ability of species that are normally difficult to root.Abbreviations BM basal medium - IAA indole-3-acetic acid - IBA indole-3-butyric acid - NAA 1-naphthaleneacetic acid - Put putrescine - Spd spermidine - Spm spermine     

印楝素乳油对黄曲条跳甲种群控制作用评价

在生命表方法分析的基础上。建立了害虫累积为害量指标,用以描述和比较某一时间段内害虫动态持续为害力大小．应用该指标分析印楝素乳油对黄曲条跳甲(Phyllotreta striolata(F.))种群控制作用,结果表明,对成虫显著的忌避作用是其对种群控制的主要机理．印楝素0．50ml·L^-1对成虫的忌避率为83．75％,种群趋势指数I值降为0．3354,干扰作用控制指数为0．0863．采用田间试验获得的结果,避免了室内测定的空间限制,因而是评价异源植物次生化合物对害虫忌避作用的主要依据．该指标在以害虫控制为目标的动态研究中具有较好的应用前景．     

Partial protection from cyclical selection generates a high level of polymorphism at multiple non‐neutral sites

Temporally varying selection is known to maintain genetic polymorphism under certain restricted conditions. However, if part of a population can escape from selective pressure, a condition called the “storage effect” is produced, which greatly promotes balanced polymorphism. We investigate whether seasonally fluctuating selection can maintain polymorphism at multiple loci, if cyclically fluctuating selection is not acting on a subpopulation called a “refuge.” A phenotype with a seasonally oscillating optimum is determined by alleles at multiple sites, across which the effects of mutations on phenotype are distributed randomly. This model resulted in long‐term polymorphism at multiple sites, during which allele frequencies oscillate heavily, greatly increasing the level of nonneutral polymorphism. The level of polymorphism at linked neutral sites was either higher or lower than expected for unlinked neutral loci. Overall, these results suggest that for a protein‐coding sequence, the nonsynonymous‐to‐synonymous ratio of polymorphism may exceed one. In addition, under randomly perturbed environmental oscillation, different sets of sites may take turns harboring long‐term polymorphism, thus making trans‐species polymorphism (which has been predicted as a classical signature of balancing selection) less likely.     

An application of the theoretical group methods to modeling of complex systems

The applicability of theoretical group methods to studying complex physical and biological systems with the potential of self-organization was demonstrated. The problem of calculating climate sensitivity parameters taking into account the cyclone-anticyclone structure of the atmosphere optically dense in the infrared region is considered as an example.     

植物转基因位置依赖性沉默与位置效应

植物基因组能够识别外源基因的出现及所整合的特异位置并产生相应反应,通过分析嘧啶甲基化的信号及模式,比较不同表达水平转基因的整合位点及基因组环境差异,植物转基因位置依赖性沉默和位置效应的机理得到进一步揭示;讨论了位置效应的研究方法和克服策略。     

Subjecting the theory of the small‐island effect to Ockham’s razor

Species–area curves from islands and other isolates often differ in shape from sample‐area curves generated from mainlands or sections of isolates (or islands), especially at finer scales. We examine two explanations for this difference: (1) the small‐island effect (SIE), which assumes the species–area curve is composed of two distinctly different curve patterns; and (2) a sigmoid or depressed isolate species–area curve with no break‐points (in arithmetic space). We argue that the application of Ockham’s razor – the principle that the simplest, most economical explanation for a hypothesis should be accepted over less parsimonious alternatives – leads to the conclusion that the latter explanation is preferable. We hold that there is no reason to assume the ecological factors or patterns that affect the shapes of isolate (or island) curves cause two distinctly different patterns. This assumption is not required for the alternative, namely that these factors cause a single (though depressed) isolate species–area curve with no break‐points. We conclude that the theory of the small‐island effect, despite its present standing as an accepted general pattern in nature, should be abandoned.