浙江省灾害预防与经济协调发展的系统动态学模型

本文运用系统工程原理和系统动态学方法,构造了浙江省灾害预防与社会经济协调发展的系统动态学模型,并运用该模型对浙江省进行了初步的仿真研究,以寻求适宜的防灾政策。     

广州白云山次生常绿阔叶林的群落结构动态

根据对广州白云山次生常绿阔叶林群落相隔６ａ的两次植被调查，分析了广州白云山次生常绿阔叶林在保护条件下，自然演变过程中的群落结构动态．群落的垂直结构变化主要以大量幼树进入第一层成树为特点；水平结构则以密度和盖度的增长为特点．在种类组成方面，６ａ前群落中居多的阳性树种现已逐渐为耐阴性较强的种类所代替．在组织结构水平上，乔木层的物种多样性指数、群落均匀度指标趋于增加，而生态优势度指标趋于降低，反映了群落向着组成结构复杂、物种多样性增高的方面演变，且前期变化速度较快，后期较慢并趋于稳定．     

大别山五针松种群结构及动态研究

大别山五针松(Pinus dabeshanensis)是大别山区特有种,最大种群分布于安徽省岳西县大王沟。采用空间序列代替时间的方法分析种群结构,编制种群特定时间生命表,绘制死亡率曲线和消失率曲线,并用4个生存函数进行种群的生存分析;同时结合谱分析方法,分析了大别山五针松种群数量的动态变化。结果表明:大别山五针松种群数量少,结构存在波动性。幼苗阶段个体较丰富,幼树阶段个体较少,种群趋于衰退。种群死亡率和消失率曲线变化趋势基本一致,在第5龄级出现峰值。4个生存函数曲线表明,大别山五针松具有前期快速减少、中期稳定和后期衰退的特点。谱分析显示,大别山五针松种群动态除受基波影响外,还具有明显的小周期波动,谐波A3和A4处的周期波动与个体生长有关。     

Sustained dynamic transience in a Lotka-Volterra competition model system for grassland species

Theoretical approaches, such as the Lotka-Volterra framework, enable predictions about long term species coexistence based on stability criteria, but generally assume temporal constancy of system equations and parameters. In real world systems, temporal variability may interfere with the attainment of stable states. Managed grassland ecosystems in Northwestern Europe experience structural periodic fluctuations in environmental conditions: the seasons. In addition, periodic disturbances such as cutting are very common. Here we show, using a Lotka-Volterra system applied to grassland species with empirically derived parameters, that seasonal variability can result in a time dependent equilibrium and redirection of displacement processes.Parameter estimates differed between species and - in most cases - between the seasons. As a result, five of the fifteen tested species combinations had different outcomes of species interactions between seasons. This indicates that systems remain in dynamic transience over the year as the equilibrium changes and the species composition of the system follows the equilibrium without ever attaining it. The non-attainment of the steady state enables coexistence of species even if there is competitive exclusion in one of the seasons. For three of the fifteen species combinations, cutting frequency affected the long-term coexistence patterns. Cutting resets the biomass of competing species and favours during regrowth those species that have a high growth rate, which can alter species coexistence in comparison to a Lotka-Volterra model without cutting. The Lotka-Volterra framework with seasonally changing empirical parameters predicts coexistence as a possible outcome of systems that in component seasons are characterised by exclusion, and vice versa.     

水动力过程后湖泊水体磷素变化及其对富营养化的贡献

对水动力过程后水体磷素的变化作了研究，并就其对富营养化的贡献作了分析探讨。研究表明，水动力过程后，TP的质量浓度因重力对含磷颗粒的作用而随沉降时间的延长而渐渐变小，且初期幅度大，后期则趋于平稳；而TDP的质量浓度则在初期因悬浮物的脱附作用而增大，继而随着悬浮物的粘带作用沉降而减少，但经足够长的静置沉降，其又由于水底沉积物的释放作用而增加，有初期“汇”，后期“源”的特点。而分析则表明：水动力过程后。水体磷素会因沉降而变小，但在相当长(50min)的时间里，其质量浓度仍处于高值，从而为湖泊的富营养化提供了最为必要的营养成分，加上不停地受到包括风动力在内的影响，这应是浅水湖泊富营养化，并难以治理的根源。     

Bridging gaps in demographic analysis with phylogenetic imputation

Phylogenetically informed imputation methods have rarely been applied to estimate missing values in demographic data but may be a powerful tool for reconstructing vital rates of survival, maturation, and fecundity for species of conservation concern. Imputed vital rates could be used to parameterize demographic models to explore how populations respond when vital rates are perturbed. We used standardized vital rate estimates for 50 bird species to assess the use of phylogenetic imputation to fill gaps in demographic data. We calculated imputation accuracy for vital rates of focal species excluded from the data set either singly or in combination and with and without phylogeny, body mass, and life-history trait data. We used imputed vital rates to calculate demographic metrics, including generation time, to validate the use of imputation in demographic analyses. Covariance among vital rates and other trait data provided a strong basis to guide imputation of missing vital rates in birds, even in the absence of phylogenetic information. Mean NRMSE for null and phylogenetic models differed by <0.01 except when no vital rates were available or for vital rates with high phylogenetic signal (Pagel's λ > 0.8). In these cases, including body mass and life-history trait data compensated for lack of phylogenetic information: mean normalized root mean square error (NRMSE) for null and phylogenetic models differed by <0.01 for adult survival and <0.04 for maturation rate. Estimates of demographic metrics were sensitive to the accuracy of imputed vital rates. For example, mean error in generation time doubled in response to inaccurate estimates of maturation time. Accurate demographic data and metrics, such as generation time, are needed to inform conservation planning processes, for example through International Union for Conservation of Nature Red List assessments and population viability analysis. Imputed vital rates could be useful in this context but, as for any estimated model parameters, awareness of the sensitivities of demographic model outputs to the imputed vital rates is essential.     

Long-term drivers of persistence and colonization dynamics in spatially structured amphibian populations

Many organisms live in networks of local populations connected by dispersing individuals, called spatially structured populations (SSPs), where the long-term persistence of the entire network is determined by the balance between 2 processes acting at the scale of local populations: extinction and colonization. When multiple threats act on an SSP, a comparison of the different factors determining local extinctions and colonizations is essential to plan sound conservation actions. We assessed the drivers of long-term population dynamics of multiple amphibian species at the regional scale. We used dynamic occupancy models within a Bayesian framework to identify the factors determining persistence and colonization of local populations. Because connectivity among patches is fundamental to SSPs dynamics, we considered 2 measures of connectivity acting on each focal patch: incidence of the focal species and incidence of invasive crayfish. We used meta-analysis to summarize the effect of different drivers at the community level. Persistence and colonization of local populations were jointly determined by factors acting at different scales. Persistence probability was positively related to the area and the permanence of wetlands, whereas it was negatively related to occurrence of fish. Colonization probability was highest in semipermanent wetlands and in sites with a high incidence of the focal species in nearby sites, whereas it showed a negative relationship with the incidence of invasive crayfish in the landscape. By analyzing long-term data on amphibian population dynamics, we found a strong effect of some classic features commonly used in SSP studies, such as patch area and focal species incidence. The presence of an invasive non-native species at the landscape scale emerged as one of the strongest drivers of colonization dynamics, suggesting that studies on SSPs should consider different connectivity measures more frequently, such as the incidence of predators, especially when dealing with biological invasions.     

Evaluating impacts of forage fish abundance on marine predators

Forage fish—small, low trophic level, pelagic fish such as herrings, sardines, and anchovies—are important prey species in marine ecosystems and also support large commercial fisheries. In many parts of the world, forage fish fisheries are managed using precautionary principles that target catch limits below the maximum sustainable yield. However, there are increasing calls to further limit forage fish catch to safeguard their fish, seabird, and marine mammal predators. The effectiveness of these extra-precautionary regulations, which assume that increasing prey abundance increases predator productivity, are under debate. In this study, we used prey-linked population models to measure the influence of forage fish abundance on the population growth rates of 45 marine predator populations representing 32 fish, seabird, and mammal species from 5 regions around the world. We used simulated data to confirm the ability of the statistical model to accurately detect prey influences under varying levels of influence strength and process variability. Our results indicate that predator productivity was rarely influenced by the abundance of their forage fish prey. Only 6 predator populations (13% of the total) were positively influenced by increasing prey abundance and the model exhibited high power to detect prey influences when they existed. These results suggest that additional limitation of forage fish harvest to levels well below sustainable yields would rarely result in detectable increases in marine predator populations.     

Evolutionary diversity and spatiotemporal dynamics of a spatial game

In this paper, the evolution of cooperation is studied by a spatially structured evolutionary game model in which the players are located on a two-dimensional square lattice. Each player can choose one of the following strategies: “always defect” (ALLD), “tit-for-tat” (TFT), and “always cooperate” (ALLC). Players merely interact with four immediate neighbors at first and adjust strategies according to their rewards. First, the evolutionary dynamics of the three strategies in non-spatial population is investigated, and the results indicate that cooperation is not favored in most settings without spatial structure. Next, an analytical method, which is based on comparing the local payoff structures, is introduced for the spatial game model. Using the conditions derived from the method as criteria, the parameter plane for two major parameters of the spatial game model is divided and nine representative regions are identified. In each parameter region, a distinct spatiotemporal dynamics is characterized. The spatiotemporal dynamics not only verify that the spatial structure promote the evolution of cooperation but also reveal how cooperation is favored. Our results show that spatial structure is the keystone of the evolution of intraspecific diversity.     

总量控制约束下区域用水结构调控策略及动态模拟

在既定水资源供给下,通过调控区域用水结构,提高用水效率与效益,使经济社会发展与用水总量限制的水资源约束相适应,是目前区域经济社会发展面临与亟待解答的关键科学问题。选择若干指标定量描述用水系统与社会经济系统耦合关系的基础上,以国民经济部门划分和用水主体划分相结合的方式,细化第一、二、三产业、生活和生态用水指标,建立了江苏省用水结构与产业结构、用水需求与经济社会发展指标互动反馈的模拟调控的系统动力学模型。在对当前发展模式下的江苏省用水总量发展趋势模拟预测分析基础上,选择对系统影响显著的参数作为调控变量,设计了5种对比情景,动态模拟水资源供求变化和用水结构变化情况,提出了江苏省用水总量控制下用水结构调控方案和对策,为区域落实最严格水资源管理制度提供决策依据。