昆虫种群空间格局研究方法的最近进展

<正> 昆虫种群空间格局是由物种的行为内禀特征与栖境相互作用而形成的种群个体在空间的分布状况。它的研究无论在生态学理论,还是生产实践上都具有重要意义。空间格局的研究方法可归纳为3类:(1)频次分布拟合x~2检验法;(2)扩散型指数法;(3)回归模型分析法。随着对大量昆虫种群空间格局的实际研究,     

负二项分布与昆虫种群空间格局分析的研究现状

对农业有害生物及其天敌种群密度的正确估计是实施IPM(有害生物综合治理)方案的先决条件,因此,抽样方法一直被列为昆虫学,生态学和植物保护科学中最重要的基本     

昆虫种群动态的空间分析方法探讨

近年来,随着地理信息系统、卫星遥感、航空数字化摄像。全球定位系统以及虚拟可视化等空间技术的迅速发展,昆虫种群的空间动态也已经引起了国内外学者和生产应用部门的高度重视［１］。然而,在考虑生态系统的空间问题时,区别于传统的研究时间尺度的经验和方法,某些涉及空间分析的概念、方法和技术也必须受到足够的关注。本文将就分析昆虫空间动态问题时,必须考虑的一些因素、方法和可能存在的问题作一探讨,以供同行商榷。１空间异质性研究昆虫种群的空间动态,首先需要考虑的就是空间异质性问题。昆虫的发生与其所生存的外部环境密切…     

一类大尺度系统中昆虫种群时空动态模拟方法

本文介绍了一类描述大尺度作物系统害虫种群时空动态的模型,该模型包含了寄主作物,昆虫密度以及天敌间的相互作用,并简要介绍了该模型的一些模拟结果在IPM中的应用。     

空间分子生态学——分子生态学与空间生态学相结合的新领域

分子标记、基因流、种群空间动态是当前生命科学研究中的热点领域。RFLPs、RAPDs、微卫星等新的分子标记的不断涌现,促进了这些领域的飞速发展。对种群空间动态研究中的等级岛屿模型、距离隔离模型、脚踏石模型、集合种群模型等方面许多令人瞩目的进展做了介绍。同时还介绍了遗传距离、基因流及其测度、基因突变模型、3S技术、空间精确性种群模型和基因频率的空间自相关等热点领域。最后,就空间分子生态学存在的问题与前景进行了讨论,指出了空间分子生态学可能的发展方向。     

最近邻体法及其在昆虫分布格局研究中的应用

空间分布格局是种群在空间相对静止的散布状况,它揭示了种群个体某一时刻的行为习性和诸环境因子的迭加影响,以及种选择栖境的内禀特性和空间结构异质性程度。在估计种群密度的抽样调查、确定试验数据的统计分析方法及考察受害形成过程和决定必需防治密度时,空间分布格局的确定是必不可少的。目前,     

蚜虫种群时空分布动态模型

种群空间格局是昆虫种群的重要属性,是为害虫防治提供动态信息的重要前提。关于种群空间格局的时空动态,前人曾建立了富立叶模型和有阻尼自由震荡模型,但忽略了生境资源和空间资源的限制,不能很好地描述昆虫种群在自然界摆布状况的动态行为。因此,在前人研究的基础上,根据蚜虫在自然界的聚集扩散行为逐步建立了描述蚜虫种群聚集扩散规律的变幅、变周期时空分布动态模型,即:y=Ae-nt[sin(w0emtt+φ)+b]+c,并应用该模型对麦长管蚜(Sitobion avenae Fabricius)、麦二叉蚜(Schizaphis graminum Rondani)、禾缢管蚜(Rhopalosiphum padi Linnaeus)和玉米蚜(Rhopalosiphum maidis Fitch)的实验数据进行了拟合。结果表明,麦蚜种群和玉米蚜种群呈现出不同的规律,3种麦蚜均为减幅减周期的变化趋势,玉米蚜则表现为减幅增周期的变化趋势。此外,该模型的拟合效果较好(R20.942,SSE2.6)、生物意义明确,不仅可用于描述蚜虫以及蚜虫以外的其他昆虫和螨类种群的时空动态,还可准确描述不同年龄阶段和不同空间位置上种群的动态,具有普遍适用性。应用该模型考察不同种蚜虫在同一作物上的竞争情况和蚜虫与其天敌的空间分布动态,可为害虫的综合防治奠定基础;对不同小麦抗性品种上同一种蚜虫的聚集扩散行为进行刻画、分析,还可为小麦的抗性育种提供参考依据。     

昆虫种群的一类时空动态模型研究

昆虫种群的时空动态包括种群的数量变化和空间分布变化.根据密度制约性原理, F推导出描述昆虫种群时空动态的非线性偏微分方程模型.该模型由扩散、迁移、出生及死亡等成分组成.建立了模型的差分解法,也给出模型参数的拟合方法.模型的初始分布确定为二项分布,Poisson分布,以及负二项分布.给出产生3种空间分布的计算方法.给定初始分布类型及参数,由各算法组装的计算机模型可得到初始分布,田间各点各时刻的昆虫数量 ,以及该时刻的空间分布类型和聚集性.     

濒危植物南方红豆杉种群克隆生长空间格局与动态

在南方红豆杉集中的广西元宝山林区设置样地 ,采用相邻格子样方法和T形距离取样法调查取样。应用方差 均值比的t检验法判定种群分布格局类型 ,用负二项参数、格林指数、Morisita指数、丛生指标、平均拥挤度和聚块性指数、T形距离指数等方法测度集聚强度 ,对南方红豆杉种群克隆生长的空间格局及动态进行研究。结果表明 :整个种群在 1 0m×1 0m、1 0m× 5m、5m× 5m、 3m×2m等不同空间尺度下均表现为集聚分布格局 ,但集群强度不高。在种群生活史中 ,从幼苗到大树 ,集群程度减小 ,大树呈随机分布。南方红豆杉有强烈的萌生能力 ,大量产生萌生分株 ,幼苗期剧烈的种内和种间竞争作用 ,导致个体密度下降、集群程度降低 ,种群表现扩散趋势 ,而小树、中龄树因占据了所需的生态位空间 ,种内竞争相对减缓 ,集聚强度有所增强 ,随个体生态位空间的扩张 ,种内和种间竞争重新加剧 ,种群密度下降 ,种群空间格局转为随机分布。南方红豆杉种群不同大小级分布格局这种动态变化反映了种群在生长发育过程中的生态策略和适应机制。     

兴安落叶松原始林林木空间格局的研究

本文采用格局分析,相关分析的方法,结合样地立木定位图研究了不同年龄结构类型的兴安落叶松种群的空间格局。结果表明,该种群具有明显的聚集分布特点,在格局分析图上,中年世代有２－３个均方峰,峰值多位于区组大小为８ｍ＾２和３２ｍ＾２处,成年世代仅具具一个均方峰,峰值多位于区组大小为１６ｍ＾２和３２ｍ＾２处;老年世代均方峰不明显或仅在区组大小为１２８ｍ＾２处有一个均方峰。不同世代在空间上也呈现明显的镶嵌特点     

景观破碎化对东北虎主要猎物种群动态影响的模拟

以完达山东部地区的现实景观为背景,采用空间直观种群模型LAPS和情景模拟相结合的"虚拟实验"途径,模拟了在10个不同破碎化程度的景观情景中东北虎的主要猎物于1992-2011年间的种群动态,评价了完达山东部地区当前的景观破碎化程度对东北虎主要猎物种群动态的影响。结果表明:LAPS模型准确刻画了研究区东北虎主要猎物种群数量急剧下降的趋势,2002年模拟的东北虎主要猎物的种群数量和实测值之间没有显著差异,马鹿、野猪和狍子的P值分别为0.8651、0.9534和0.2836;不同生境类型的种群密度数据与实测值之间均没有显著差异,其中阔叶林生境中的马鹿、野猪和狍子的P值分别为0.8521、0.9447和0.3152;在灌丛生境中的马鹿、野猪和狍子的P值分别为0.8846、0.9576和0.2415。斑块类型和景观水平上的格局指标变化趋势表明由于农田扩张导致10个景观情景的破碎化程度逐渐增加,景观水平的破碎化程度低于斑块类型水平。方差分析显示10个景观情景中的种群数量没有显著差异,马鹿、野猪和狍子的P值分别为0.8516、0.2624和0.7636,说明研究区当前的景观破碎化程度对种群动态影响并不显著。完达山东部地区存在盗猎等人为干扰,导致了东北虎主要猎物的数量远低于环境容纳量,景观破碎化虽然在局部地区较为严重,但完达山东部地区整体上景观破碎化并不强烈,该地区景观破碎化的效应尚未显现。认为控制盗猎等人为干扰是增加该地区东北虎主要猎物的数量、实现东北虎种群恢复所应优先采取的措施。     

昆虫种群动态模拟模型

昆虫是动物界中最大的类群,与人类有着密切的利害关系。对昆虫的数量预测与符合经济和生态规律的管理,一直都被国内外列入重点研究课题。种群动态模拟是害虫管理中重要的基础工作。近十年来,关于昆虫种群动态模型的理论和实验研究进展迅速。现分别从单种种群和多种种群两个方面对国内外近些年来昆虫种群动态模拟模型的研究进展进行了概括和总结。单种种群从两个方面阐述:一是最基本的种群动态模拟模型Log istic方程的研究成果,包括方程的修正、参数的拟合与最优捕获策略等;另一个方面是对种群动态模拟常用的矩阵模型的概述,主要介绍不等期年龄组、矩阵维数的变化、矩阵维数与历期的关系、个体之间的发育差异以及发育速率差异等等对昆虫种群动态模型的影响。多种群主要从建模和模型应用两个部分对国内外研究成果进行综述。最后,对种群动态模拟模型研究的发展方向做了深入地讨论,即在原有的数据采集工作的基础上,使用面向对象程序设计语言,把各种要素包括各种物种及各种环境条件抽象成类,用消息传递来表示昆虫种群内个体与个体、昆虫种群与环境之间的相互作用,再结合先进的数学算法,建立一个直观的、操作简单的昆虫种群动态模型库,使模型结构与现实世界有最大的相似性。这样就可以实现昆虫种群动态的可视化、立体化、实时化和精确化的监测及预测。     

A spatial open-population capture-recapture model

A spatial open-population capture-recapture model is described that extends both the non-spatial open-population model of Schwarz and Arnason and the spatially explicit closed-population model of Borchers and Efford. The superpopulation of animals available for detection at some time during a study is conceived as a two-dimensional Poisson point process. Individual probabilities of birth and death follow the conventional open-population model. Movement between sampling times may be modeled with a dispersal kernel using a recursive Markovian algorithm. Observations arise from distance-dependent sampling at an array of detectors. As in the closed-population spatial model, the observed data likelihood relies on integration over the unknown animal locations; maximization of this likelihood yields estimates of the birth, death, movement, and detection parameters. The models were fitted to data from a live-trapping study of brushtail possums (Trichosurus vulpecula) in New Zealand. Simulations confirmed that spatial modeling can greatly reduce the bias of capture-recapture survival estimates and that there is a degree of robustness to misspecification of the dispersal kernel. An R package is available that includes various extensions.     

Modelling food web complexity: The consequences of individual-based, spatially explicit behavioural ecology on trophic interactions

We present a prototype simulator that enables one to explore the influence of individual behaviour on the dynamics and structural complexity of food webs. In the simulations, individuals act according to simple, biologically plausible rules in a spatially explicit setting. We present the results of a series of simulation experiments on artificial, tri-trophic level food chains used to calibrate the simulator against real-world systems and to demonstrate the simulators promise for ecological modelling. Our primary objective was to discover the biological features leading to stability of artificial food chains over ecological time and under different conditions of trophic efficiency. This involved a qualitative analysis of food chains comprised of a plant, a herbivore and a carnivore species. We explored the consequences of allowing individual heterotrophs to make active choices about resource selection (perception and intentional behaviour) under high and low degrees of trophic efficiency. We found that individuals had to adopt realistic behavioural ecological strategies, such as active resource selection, for systems to persist, especially under conditions in which trophic efficiencies were of the magnitude observed in real systems (e.g. 10%). Our results reaffirm previous convictions that a better understanding of food web interactions in real-world systems will require approaches that blend animal behavioural ecology with population and community ecology. However, the evidence comes from a new mathematical perspective.     

Self-structuring in spatial evolutionary ecology

Spatial self-structuring has been a focus of recent interest among evolutionary ecologists. We review recent developments in the study of the interplay between spatial self-structuring and evolution. We first discuss the relative merits of the various theoretical approaches to spatial modelling in ecology. Second, we synthesize the main theoretical studies of the evolution of cooperation in spatially structured populations. We show that population viscosity is generally beneficial to cooperation, because cooperators can reap additional benefits from being clustered. A similar mechanism can explain the evolution of honest communication and of reduced virulence in host–parasite interactions. We also discuss some recent innovative empirical results that test these theories. Third, we show the relevance of these results to the general field of evolutionary ecology. An important conclusion is that kin selection is the main process that drives evolution of cooperation in viscous populations. Many results of kin selection theory can be recovered as emergent properties of spatial ecological dynamics. We discuss the implications of these results for the study of multilevel selection and evolutionary transitions. We conclude by sketching some perspectives for future research, with a particular emphasis on the topics of evolutionary branching, criticality, spatial fluctuations and experimental tests of theoretical predictions.     

Intuition, functional responses and the formulation of predator-prey models when there is a large disparity in the spatial domains of the interacting species

1. The disparity of the spatial domains used by predators and prey is a common feature of many terrestrial avian and mammalian predatory interactions, as predators are typically more mobile and have larger home ranges than their prey. 2. Incorporating these realistic behavioural features requires formulating spatial predator-prey models having local prey mortality due to predation and its spatial aggregation, in order to generate a numerical response at timescales longer than the local prey consumption. Coupling the population dynamics occurring at different spatial scales is far from intuitive, and involves making important behavioural and demographic assumptions. Previous spatial predator-prey models resorted to intuition to derive local functional responses from non-spatial equivalents, and often involve unrealistic biological assumptions that restrict their validity. 3. We propose a hierarchical framework for deriving generic models of spatial predator-prey interactions that explicitly considers the behavioural and demographic processes occurring at different spatial and temporal scales. 4. The proposed framework highlights the circumstances wherein static spatial patterns emerge and can be a stabilizing mechanism of consumer-resource interactions.     

Habitat saturation and the spatial evolutionary ecology of altruism

Under which ecological conditions should individuals help their neighbours? We investigate the effect of habitat saturation on the evolution of helping behaviours in a spatially structured population. We combine the formalisms of population genetics and spatial moment equations to tease out the effects of various physiological (direct benefits and costs of helping) and ecological parameters (such as the density of empty sites) on the selection gradient on helping. Our analysis highlights the crucial importance of demography for the evolution of helping behaviours. It shows that habitat saturation can have contrasting effects, depending on the form of competition (direct vs. indirect competition) and on the conditionality of helping. In our attempt to bridge the gap between spatial ecology and population genetics, we derive an expression for relatedness that takes into account both habitat saturation and the spatial structure of genetic variation. This analysis helps clarify discrepancies in the results obtained by previous theoretical studies. It also provides a theoretical framework taking into account the interplay between demography and kin selection, in which new biological questions can be explored.     

The effects of archipelago spatial structure on island diversity and endemism: predictions from a spatially‐structured neutral model

Islands are particularly suited to testing hypotheses about the ecological and evolutionary mechanisms underpinning community assembly. Yet the complex spatial arrangements of real island systems have received little attention from both empirical studies and theoretical models. Here, we investigate the extent to which the spatial structure of archipelagos affects species diversity and endemism. We start by proposing a new spatially structured neutral model that explicitly considers archipelago structure, and then investigate its predictions under a diversity of scenarios. Our results suggest that considering the spatial structure of archipelagos is crucial to understanding their diversity and endemism, with structured island systems acting both as “museums” and “cradles” of biodiversity. These dynamics of diversification may change the traditionally expected pattern of decrease in species richness with distance from the mainland, even potentially leading to increasing patterns for taxa with high speciation rates in archipelagos off species‐poor continental areas. Our results also predict that, within spatially structured archipelagos, metapopulation dynamics and evolutionary processes can generate higher diversity on islands more centrally placed than at the periphery. We derive from our results a set of theoretical predictions, potentially testable with empirical data.