黄帚橐吾花序结构的资源配置与环境的关系

 为了系统地了解黄帚橐吾(Ligularia virgaurea) 自然种群的繁殖对策,在其繁殖分配研究的基础上,通过统计不同部位头状花序的生物量投入,进一步分析了存在于总状花序内资源分配上的结构效应及其对不同生境条件的反应。结果表明：1）总状花序、不同部位头状花序在资源投入上受其栖息生境各种生态因子的影响而在不同生境和平均种群密度间存在着差异,并表现出一定的趋势;2）可代表个体水平的总状花序大小、头状花序大小、头状花序数量和头状花序平均重量等特征,都与种群密度呈现出程度不同的负相关关系,而总状花序内不同部位的头状花序大小则与种群密度变化无关;3）总状花序内的资源分配存在着位置依赖性,这种显著差异表现为顶部头状花序比基部和中部头状花序有较大的资源分配;4）总状花序顶部、中部和基部头状花序的资源分配与总状花序大小表现出极显著或显著的负相关关系。     

川西风毛菊果期资源分配对海拔的响应

以分布于青藏高原东缘的川西风毛菊为试验材料,研究了其不同海拔高度16个居群的果期资源分配。结果显示:1)随着海拔的升高,个体大小、繁殖器官生物量、营养器官生物量、根系质量、茎叶质量以及每株植物种子总数量均不断减小,但种子百粒重不断增加;2)繁殖分配和根系分配与海拔呈正相关关系,营养分配和茎叶分配与海拔呈负相关关系;3)果期繁殖分配和营养分配、根系分配和茎叶分配以及种子数量与百粒重之间均存在资源分配上的权衡。研究结论:1)海拔作为外界因子对川西风毛菊果期各生物量及资源分配有显著的影响;2)随着海拔的升高,川西风毛菊通过增加繁殖分配,根系分配以及种子百粒重来适应胁迫环境,提高自身的适合度。     

腾格里沙漠人工固沙植被中油蒿的生长及生物量分配动态

植物的资源分配模式反映了对环境的生态适应对策。2007年整个生长季, 采用生物量法对腾格里沙漠东南缘固沙植被区半灌木油蒿(Artemisia ordosica)地上部分各器官的生长及资源分配格局动态进行了研究。结果表明: 不同时期各器官的生长速率不同, 光合产物在各器官中的分配也不是等量的, 而是按一定的顺序在不同时期有不同的分配中心; 2007年油蒿的营养生长、繁殖输出、生殖枝大小都显著大于年降水量不足其一半的年份, 而繁殖分配和头状花序大小没有差异; 营养器官生物量大的油蒿总的繁殖输出也大, 但生殖期内营养生长和生殖生长既不同时也不等速, 表明资源分配的权衡(Trade-off)是存在的; 固沙植被建立以后, 随着时间延长, 油蒿的当年总生物量、繁殖输出、繁殖器官生物量分配有减小的趋势, 但不显著。     

勤云测试

【】充分考虑高校教学和社会服务职能以及内部资源分配对科研活动的影响,本文提出一个研究我国高校知识生产创造活动的理论框架,并基于教育部直属高校2000-2008年的统计数据进行了实证分析。研究发现,高校参与科研活动的高级职称研究人员的比例对发明专利申请增加有显著影响;重视基础研究有助于增加SCI论文;在校本专科生规模对科研产出有负面影响,而研究生数量的增加则对科研活动有积极贡献;加强与企业联系有助于增加高校的发明专利申请和EI期刊论文。     

狮牙草状风毛菊果期资源分配对海拔的响应

植物资源分配是目前植物生态学研究的热点问题, 主要集中在性分配和繁殖分配两个方面。该研究以分布在青藏高原的狮牙草状风毛菊(Saussurea leontodontoides)作为研究材料, 研究了6个海拔高度上果期植株的繁殖特征及资源分配的差异, 并用异速模型分析了繁殖性状及资源分配与个体大小的关系。结果显示: 1)狮牙草状风毛菊的个体大小、繁殖器官生物量、营养器官生物量、种子数和营养分配均与海拔存在极显著负相关关系, 百粒质量和繁殖分配与海拔存在极显著正相关关系。2)在不同海拔高度下, 百粒质量、种子数、繁殖器官生物量及营养分配与植株个体大小呈正相关关系; 繁殖分配与植株个体大小呈负相关关系; 而营养器官生物量与植株个体大小呈极显著正相关关系。这表明海拔和个体大小对狮牙草状风毛菊的繁殖对策有不同程度的影响, 狮牙草状风毛菊通过增加繁殖部分的生物量和百粒质量来适应高海拔的胁迫环境。     

川西风毛菊花期资源分配随海拔的变化

以分布于青藏高原东缘的川西风毛菊(Saussurea dzeure)为试验材料, 研究了其位于不同海拔高度的16个种群的花期资源分配。结果显示: 1)花期植物个体大小、头状花序数量、繁殖器官及营养器官生物量、花瓣质量、雌蕊及雄蕊群质量均与海拔呈负相关关系, 每个头状花序质量与海拔呈正相关关系; 2)繁殖分配和雄性分配与海拔呈正相关关系, 营养分配和雌性分配与海拔呈负相关关系; 3)花期头状花序的数量和大小、繁殖分配和营养分配以及雄性分配和雌性分配之间均存在资源分配上的权衡。由此推论: 1)海拔作为外界因子对川西风毛菊花期各生物量及资源分配有显著的影响; 2)在资源有限的情况下, 川西风毛菊权衡对各结构的资源投入, 通过增加繁殖分配和雄性分配来适应胁迫环境, 提高繁殖的成功率。     

Response of resource allocation of Saussurea leontodontoides during its fruiting stage to the elevation

植物资源分配是目前植物生态学研究的热点问题, 主要集中在性分配和繁殖分配两个方面。该研究以分布在青藏高原的狮牙草状风毛菊(Saussurea leontodontoides)作为研究材料, 研究了6个海拔高度上果期植株的繁殖特征及资源分配的差异, 并用异速模型分析了繁殖性状及资源分配与个体大小的关系。结果显示: 1)狮牙草状风毛菊的个体大小、繁殖器官生物量、营养器官生物量、种子数和营养分配均与海拔存在极显著负相关关系, 百粒质量和繁殖分配与海拔存在极显著正相关关系。2)在不同海拔高度下, 百粒质量、种子数、繁殖器官生物量及营养分配与植株个体大小呈正相关关系; 繁殖分配与植株个体大小呈负相关关系; 而营养器官生物量与植株个体大小呈极显著正相关关系。这表明海拔和个体大小对狮牙草状风毛菊的繁殖对策有不同程度的影响, 狮牙草状风毛菊通过增加繁殖部分的生物量和百粒质量来适应高海拔的胁迫环境。     

生境和降温对高寒草甸6种优势禾本科植物幼苗生长和生物量分配的影响

以青藏高原东部高寒草甸6种优势禾本科植物为研究对象,分析了不同生境和降温对幼苗形态特征、生物量分配和存活率的影响,为研究高寒草甸优势植物在不同生境下生长策略提供一定的基础。结果表明:在模拟覆盖地环境条件下,6个物种的幼苗将更多的资源分配给地上部分来增加对光资源的竞争,而在模拟裸露地环境条件下,幼苗有较大的生物量和生长速率,长势较好;幼苗生长初期的两次降温对其后的幼苗生长起着显著的作用,降温处理过的幼苗将更多的资源分配给根部;模拟覆盖地条件下的幼苗存活率显著高于模拟裸露地条件的幼苗存活率,但降温对幼苗存活率无显著影响。因此,本研究中所用的6种禾本科植物对环境条件的变化均表现出明显的形态可塑性特征,其存活率对异常降温的不显著变化可能是对青藏高原长期以来多变环境的适应性选择。     

放牧退化群落中冷蒿种群生物量资源分配的变化

对放牧退化群落中冷蒿种群生物量及生物量资源分配的变化进行了研究.结果表明,在放牧干扰下,随着放牧退化程度的增加,冷蒿种群叶、茎、根的生物量及总生物量增加.其中根的重量增加幅度较大,但生殖构件(花序、果实)的生物量在轻度退化群落中增加,中度退化群落中迅速减少,重度退化群落中未发现生殖构件.随着放牧退化程度增加,冷蒿种群生物量的资源分配发生变化,对根的分配增加,对茎、叶的分配减少,根冠比增加;对无性繁殖的分配增加,对有性生殖的分配减少.在重度退化群落,冷蒿有性生殖严重受阻,繁殖格局发生变化.从资源分配的动态来看,随着放牧退化程度的增加,生长初期至盛期,冷蒿种群资源优先分配给地上部分,尤其是光合器官叶;而生长盛期至末期,资源优先分配给有性生殖或贮藏器官.繁殖格局的转变是冷蒿种群耐牧,在重度退化下成为建群种的关键.资源分配格局的时空变化,使生长、维持和繁殖等方面的分配达到和谐,是冷蒿种群在重度退化下成为建群种的物质基础.     

甘南高寒草甸群落的物种-多度关系沿坡向的变化

物种-多度格局研究是揭示群落组织结构和物种区域分布规律的重要手段。该研究以青藏高原东北部的甘南高寒草甸为研究对象, 基于野外调查和室内分析, 研究了不同坡向的环境因子、植物群落分布, 并利用RAD软件程序包对其进行了拟合分析。结果显示: 在南坡-北坡上, 土壤含水量从南坡(0.18 g·g ^-1)到北坡(0.31 g·g ^-1)呈现递增的趋势, 土壤温度从南坡(22.33 ℃)到北坡(18.13 ℃)以及光照强度从南坡(744.15 lx)到北坡(681.93 lx)均呈逐渐减小的趋势。物种-多度分布曲线的斜率从南坡向北坡依次减小。随着坡向由南向北转变, 物种-多度和物种多样性都呈递增的趋势。通过6个模型对坡向梯度的物种-多度分布进行拟合发现, 甘南高寒草甸区的物种-多度分布主要是以生态位模型为主, 其次是随机分布模型。青藏高原高寒草甸微生境梯度上的物种在总体上的资源分配模式是以固定分配模式为主, 稀有种的资源分配模式是以随机性模型为主, 常见种的资源分配模式则是以确定性模型为主。     

Quantifying multivariate plasticity: genetic variation in resource acquisition drives plasticity in resource allocation to components of life history

Acquisition and allocation of resources are central to life‐history theory. However, empirical work typically focuses only on allocation despite the fact that relationships between fitness components may be governed by differences in the ability of individuals to acquire resources across environments. Here, we outline a statistical framework to partition the genetic basis of multivariate plasticity into independent axes of genetic variation, and quantify for the first time, the extent to which specific traits drive multitrait genotype–environment interactions. Our framework generalises to analyses of plasticity, growth and ageing. We apply this approach to a unique, large‐scale, multivariate study of acquisition, allocation and plasticity in the life history of the cricket, Gryllus firmus. We demonstrate that resource acquisition and allocation are genetically correlated, and that plasticity in trade‐offs between allocation to components of fitness is 90% dependent on genetic variance for total resource acquisition. These results suggest that genotype–environment effects for resource acquisition can maintain variation in life‐history components that are typically observed in the wild.     

Partitioning of resources: the evolutionary genetics of sexual conflict over resource acquisition and allocation

Fitness depends on both the resources that individuals acquire and the allocation of those resources to traits that influence survival and reproduction. Optimal resource allocation differs between females and males as a consequence of their fundamentally different reproductive strategies. However, because most traits have a common genetic basis between the sexes, conflicting selection between the sexes over resource allocation can constrain the evolution of optimal allocation within each sex, and generate trade‐offs for fitness between them (i.e. ‘sexual antagonism’ or ‘intralocus sexual conflict’). The theory of resource acquisition and allocation provides an influential framework for linking genetic variation in acquisition and allocation to empirical evidence of trade‐offs between distinct life‐history traits. However, these models have not considered the emergence of trade‐offs within the context of sexual dimorphism, where they are expected to be particularly common. Here, we extend acquisition–allocation theory and develop a quantitative genetic framework for predicting genetically based trade‐offs between life‐history traits within sexes and between female and male fitness. Our models demonstrate that empirically measurable evidence of sexually antagonistic fitness variation should depend upon three interacting factors that may vary between populations: (1) the genetic variances and between‐sex covariances for resource acquisition and allocation traits, (2) condition‐dependent expression of resource allocation traits and (3) sex differences in selection on the allocation of resource to different fitness components.     

Energetic costs, underlying resource allocation patterns, and adaptive value of predator-induced life-history shifts

We studied costs and benefits of life history shifts of water fleas (genus Daphnia ) in response to infochemicals from planktivorous fish. We applied a dynamic energy budget model to investigate the resource allocation patterns underlying the observed life history shifts and their adaptive value under size selective predation in one coherent analysis. Using a published data set of life history shifts in response to fish infochemicals we show that Daphnia invests less energy in somatic growth in the fish treatment. This observation complies with theoretical predictions on optimal resource allocation. However, the observed patterns of phenotypic plasticity cannot be explained by changes in resource allocation patterns alone because our model-based analysis of the empirical data clearly identified additional bioenergetic costs in the fish treatments. Consequently, the response to fish kairomone only becomes adaptive if the intensity of size selective predation surpasses a certain critical level. We believe that this is the first study that puts resource allocation, energetic costs, and adaptive value of predator induced life-history shifts – using empirical data – into one theoretical framework.     

How is life history variation generated from the genetic resource allocation?

A simple quantitative genetic model is proposed to explain the observed genetic correlation structure of a bruchid beetleCallosobruchus chinensis in terms of two underlying variables: the resource acquisition and the resource allocation. Heritabilities and genetic correlations among age-specific, fecundities are regarded as consequences of genetic variations of the two variables. Genetic correlations are predominantly positive in both predictions and observations. Nonetheless, comparison between observed and predicted values in heritabilities, genetic correlations, and genetic principal components suggested significant genetic variances both of the resource allocation and the resource acquisition. The prediction of the model is discussed in relation, to experimental tests of trade-off in life history evolution.     

Allocation tradeoffs and life histories: a conceptual and graphical framework

Tradeoffs – negative reciprocal causal relationships in net benefits between trait magnitudes – have not always been studied in depth appropriate to their central role in life‐history analysis. Here we focus on allocation tradeoffs, in which acquisition of a limiting resource requires allocation of resource to alternative traits. We identify the components of this allocation process and emphasize the importance of quantifying them. We then propose categorizing allocation tradeoffs into linear, concave and convex relationships based on the way that resource allocation yields trait magnitudes under the tradeoff. Linear relationships are over‐represented in the literature because of typically small data sets over restricted ranges of trait magnitudes, an emphasis on simple correlation analysis, and a failure to remove variation associated with acquisition of the limiting resource in characterizing the tradeoff. (We provide methods for controlling these acquisition effects.) Non‐linear relationships have been documented and are expected under plausible conditions that we summarize. We note ways that shifting environments and biological features yield plasticity of tradeoff graphs. Finally, we illustrate these points using case studies and close with priorities for future work.     

Complex Genetic Effects on Early Vegetative Development Shape Resource Allocation Differences Between Arabidopsis lyrata Populations

Costs of reproduction due to resource allocation trade-offs have long been recognized as key forces in life history evolution, but little is known about their functional or genetic basis. Arabidopsis lyrata, a perennial relative of the annual model plant A. thaliana with a wide climatic distribution, has populations that are strongly diverged in resource allocation. In this study, we evaluated the genetic and functional basis for variation in resource allocation in a reciprocal transplant experiment, using four A. lyrata populations and F₂ progeny from a cross between North Carolina (NC) and Norway parents, which had the most divergent resource allocation patterns. Local alleles at quantitative trait loci (QTL) at a North Carolina field site increased reproductive output while reducing vegetative growth. These QTL had little overlap with flowering date QTL. Structural equation models incorporating QTL genotypes and traits indicated that resource allocation differences result primarily from QTL effects on early vegetative growth patterns, with cascading effects on later vegetative and reproductive development. At a Norway field site, North Carolina alleles at some of the same QTL regions reduced survival and reproductive output components, but these effects were not associated with resource allocation trade-offs in the Norway environment. Our results indicate that resource allocation in perennial plants may involve important adaptive mechanisms largely independent of flowering time. Moreover, the contributions of resource allocation QTL to local adaptation appear to result from their effects on developmental timing and its interaction with environmental constraints, and not from simple models of reproductive costs.     

Effects of parental care on resource allocation into immune defense and buccal microbiota in mouthbrooding cichlid fishes*

Sexual dimorphism is founded upon a resource allocation trade‐off between investments in reproduction versus other life‐history traits including the immune system. In species with conventional parental care roles, theory predicts that males maximize their lifetime reproductive success by allocating resources toward sexual selection, while females achieve this through prolonging their lifespan. Here, we examine the interrelation between sexual dimorphism and parental care strategies in closely related maternal and biparental mouthbrooding cichlid fishes from East African Lake Tanganyika. We measured cellular immune parameters, examined the relative expression of 28 immune system and life history‐related candidate genes and analyzed the microbiota composition in the buccal cavity. According to our predictions, maternal mouthbrooders are more sexually dimorphic in immune parameters than biparental mouthbrooders, which has possibly arisen through a differential resource allocation into parental care versus secondary sexual traits. Biparental mouthbrooders, on the other hand, which share the costs of parental care, feature an upregulated adaptive immune response and stronger antiviral properties, while their inflammation response is reduced. Overall, our results suggest a differential resource allocation trade‐off between the two modes of parental investment.     

Resource Allocation and the Evolution of Self-Fertilization in Plants

This article develops a simple evolutionarily stable strategy (ESS) model of resource allocation in partially selfing plants, which incorporates reproductive and sex allocation into a single framework. The analysis shows that, if female fitness gain increases linearly with resource investment, total reproductive allocation is not affected by sex allocation, defined as the fraction of reproductive resources allocated to male function. All else being equal, the ESS total reproductive allocation increases with increasing selfing rate if the fitness of selfed progeny is more than half that of outcrossed progeny, while the ESS sex allocation is always a decreasing function of the selfing rate. Self-fertilization is much more common in annual than in perennial plants, and this association has been commonly interpreted in terms of an effect of life history on mating system. The model in this article shows that self-fertilization can itself cause the evolution of the annual habit. Incorporating the effects of pollen discounting may not have any influence on total reproductive allocation if female fitness gain is a linear function of resource investment, although the evolutionarily stable sex allocation is altered. Evolution of the selfing rate is found to be independent of reproductive and sex allocation under the mass-action assumption that self- and outcross pollen are deposited simultaneously on receptive stigmas and compete for access to ovules.     

Disentangling sex allocation in a viviparous reptile with temperature‐dependent sex determination: a multifactorial approach

Females are predicted to alter sex allocation when ecological, physiological and behavioural variables have different consequences on the fitness of male and female offspring. Traditionally, tests of sex allocation have examined single causative factors, often ignoring possible interactions between multiple factors. Here, we used a multifactorial approach to examine sex allocation in the viviparous skink, Niveoscincus ocellatus. We integrated a 16‐year observational field study with a manipulative laboratory experiment to explore whether the effects of the maternal thermal environment interact with the resources available to females for reproduction to affect sex allocation decisions. We found strong effects of temperature on sex allocation in the field, with females born in warm conditions and males in cold conditions; however, this was not replicated in the laboratory. In contrast, we found no effect of female resource availability on sex allocation, either independently, or in interaction with temperature. These results corresponded with an overall lack of an effect of resource availability on any of the life history traits that we predicted would mediate the benefits of differential sex allocation in this system, suggesting that selection for sex allocation in response to resource availability may be relatively weak. Combined, these results suggest that temperature may be the predominant factor driving sex allocation in this system.     

When relative allocation depends on total resource acquisition: implication for the analysis of trade‐offs

A central tenet of evolutionary biology states that life‐history traits are linked via trade‐offs, as classically exemplified by the van Noordwijk and de Jong model. This model, however, assumes that the relative resource allocation to a biological function varies independently of the total resource acquisition. Based on current empirical evidence, we first explored the dependency between the total resource acquisition and the relative resource allocation to reproduction and showed that such dependency is the rule rather than the exception. We then derived the expression of the covariance between traits when the assumption of independence is relaxed and used simulations to quantify the importance of such dependency on the detection of trade‐offs between current reproduction and future survival. We found that the dependency between the total energy acquisition and the relative allocation to reproduction can influence the probability to detect trade‐offs between survival and reproduction. As a general rule, a negative dependency between the total energy acquisition and the relative allocation to reproduction should lead to a higher probability of detecting a trade‐off in species with a fast pace of life, whereas a positive dependency should lead to a higher probability of detecting a trade‐off in species with a slow pace of life. In addition to confirming the importance of resource variation to reveal trade‐offs, our finding demonstrates that the covariance between resource allocation and resource acquisition is generally not null and also plays a fundamental role in the detection of trade‐offs.