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The analysis and understanding of butterfly community structure based on the concept of generalist vs. specialist strategies : a new approach to biological community analysis

机译:基于通才与专家策略概念的蝴蝶群落结构分析与理解:生物群落分析的新方法

摘要

The search for patterns is an important component of ecological research, and has probably been the most important step in the development of community ecology. Up to the present, biological communities have been analyzed mainly from the viewpoint of biotic interactions such as interspecific competition and predation, niche theory, and species diversity. However, few attempt has been made to analyze natural community structure in terms of life-history strategies (e.g., generalist and specialist strategies) of its component species. On the other hand, the verification of the generalist/specialist (r/K) concept has been examined mainly among populations of a species, or of closely related species. However, little attempt has yet been made to verify the concept among many species at the community level. In the present study, I examine temperate butterfly communities subjected to different degrees of human disturbance, and apply the generalist/specialist concept to analyze butterfly community structure. Butterflies are the most suitable organisms for the study of the structure and dynamics of biological populations and communities. The adults can be identified easily in the field and their life-histories are already well known in Japan. The series of my studies are composed of the following four chapters. Chapter 1: Patterns in the structure of butterfly communities along an environmental gradient of human disturbance based on the concept of generalist vs. specialist strategiesI monitored nine butterfly communities with varying degrees of human disturbance by conducting a census twice a month during 1980 by the line transect method in and around Tsukuba City, central Japan. I analyzed the community structures using the generalist/specialist concept. The site (community) order based on decreasing human disturbance was positively correlated with butterfly species diversity (Hu27), species richness (the total number of species), and the number of specialist species in a community, but not with the number of generalist species. The number of generalist species was rather constant, irrespective of the degree of human disturbance. Thus, both the butterfly species diversity and species richness were more dependent on the specialists than the generalists. The analyses also showed that the generalist species were distributed widely over the communities, and they maintained high population densities, resulting in high rank status in abundance in a community, with more spatial variation in density per species. Specialist species showed the opposite trends. These results demonstrate that the generalist/specialist concept is a powerful tool applicable to analyze structure of natural communities. Chapter 2: Reexamination of the butterfly community patterns based on the generalist/specialist concept along a grassland habitat gradient of human disturbance in a different region In the previous chapter, I analyzed the butterfly communities along a gradient of human disturbance by applying the generalist/specialist concept. Butterfly species were classified into generalist or specialist species based on their voltinism (seasonal time dimension) and potential larval resource breadth (food dimension). The community structure and species composition showed the systematic changes along the gradient. To verify the generality of those trends, I chose another butterfly community data (Sei 1986a,b) obtained by monitoring five grassland butterfly communities with varying degrees of human disturbance twice a month during 1985 by the line transect method at the foot of Mt. Fuji, central Japan, and analyzed their structure in a manner similar to that employed in the previous chapter. Most results were consistent with the patterns recognized in the previous chapter. The route (community) order based on increasing human disturbance was strongly and negatively correlated with butterfly species richness but with neither butterfly species diversity (Hu27 ) nor evenness (Ju27). Also, the degree of human disturbance was significantly and negatively correlated with the number of specialist species, but not with that of generalists, in a community. Butterfly species richness was more strongly correlated with the number of specialist species than with that of generalists. The analyses also showed that the generalist species were distributed more widely over the communities than were the specialists. However, in contrast to the trend revealed in the previous chapter, there was no significant difference in the population densities and in the spatial population variability between the two species groups. As a whole, the present analyses confirmed the consistency of most community patterns detected in the previous chapter. The causes of the inconsistencies in some patterns were thought to be mainly due to the present habitat conditions with a relatively short growing season at high altitudes. Chapter 3: Analyses of butterfly community structure and composition through multivariate approaches and the concept of generalist/specialist strategies, and conservation implications In this chapter, I analyzed the community structure of the butterfly data in Chapter 1 using multivariate analyses. The present analyses are in sharp contrast to my previous analyses (Chapter 1) in which each butterfly species was assigned, prior to data analyses, either generalist, intermediate, or specialist based on their larval food plant and voltinism in accordance with the generalist/specialist concept. The present results of principal components analysis (PCA) showed that the butterfly community was composed of two species groups (I and II). This species grouping was also supported by the results of the cluster analysis (unweighted pair-group method using arithmetic average (UPGMA)). Comparing the present results with species classification used in Chapter 1, the butterfly community was found to be composed of five species groups (specialists, intermediates I and II, and generalists I and II), which differed from each other in their ecological characteristics. Through the comparisons of their characteristics among the five species groups, it was suggested that, in the butterfly community, the positions of the specialist group and the generalist group II are the endpoints on the generalist-specialist selection spectrum, and the three other groups are positioned between these two extremes. The results of the multivariate analyses showed that, among the specialist, intermediate, and generalist groups classified a priori in the previous study, only the specialist group could be discriminated well in one group, and the generalist and intermediate groups were both divided further into two subgroups (I and II) with different characteristics. The multivariate approaches also succeeded in extracting a typical generalist group (i.e., generalist II) from the butterfly community. I propose and recommend the synergetic application of the generalist/specialist (r/K) concept and multivariate approaches to the detailed analysis and deeper understanding of community structure and composition. The present results also suggest that the approach employed in this study is much effective and helpful to identify and find out priority or target species for local butterfly conservation. Chapter 4: Application of the community analysis based on the generalist/specialist concept to the environmental evaluation of habitat islands: The island biogeographical analysis of butterfly community structure in the newly designed parks of Tsukuba City I analyzed the butterfly communities in the newly designed city parks (area C), "newly opened habitat islands", of Tsukuba City, central Japan. The area constituted a natural ecological experiment on the mainland for clarifying the pattern and process of faunal immigration. I compared butterfly communities in area C with those in two other areas in the light of the theory of island biogeography and the concept of generalist/specialist. The results showed the following: (1) Fewer species were found in area C than in other areas, due largely to the absence of many specialist types, restricted and habitat specialists, and/or low density species in the area. Generalist types, widespread and habitat generalists, and/or high density species predominated in area C. (2) The difference in the species numbers among the three sections within area C could be explained by the habitat structure in and around the respective sections. (3) The densities of many species were low in area C, probably due to its man-modified habitat structure. In particular, several species occurred at extremely low densities in area C, but at high densities in other areas. (4) The internal structure of the habitat island butterfly community in area C was almost perfectly consistent with that of "quasi-equilibrium" communities that appear during the colonization of an island. These results demonstrate that the synergetic application of the generalist/specialist concept and the island biogeography theory is effective for the understanding of the patterns and structures of habitat island communities. Overall, I conclude that (1) the patterns in the structure of butterfly communities along an environmental gradient of human disturbance based on the generalist/specialist concept found in the present studies are both robust and general ones, probably common to various types of habitats, environments, and ecosystems, (2) even relatively stable environments usually have heterogeneous structure with stability and unstability, and therefore, support the mixture of specialists and generalists and the resultant high species richness and diversity, and (3) the analytical approach based on the generalist/specialist concept is a highly operational method with good predictive and explanatory powers much applicable to the analysis of various types of biotic communities, in spite of a variety of criticism of the concept.Key words: Butterfly communities, Community patterns, Community structure, Conservation priority, Environmental disturbance, Generalist-Specialist selection continuum, Generalist and Specialist strategy, Habitat island, Human disturbance, Island biogeography theory, Island patterns, Lepidoptera, Principal components analysis (PCA), Route order, Species characteristics, Species classification, Species composition, Species distribution, Species richness, Temperate butterfly species.
机译:寻找模式是生态学研究的重要组成部分,并且可能是社区生态学发展中最重要的一步。迄今为止,主要从生物相互作用的角度分析生物群落,例如种间竞争和捕食,生态位理论和物种多样性。但是,很少尝试根据其组成物种的生命史策略(例如通才和专家策略)来分析自然群落结构。另一方面,通才/专家(r / K)概念的验证主要是在一个物种或密切相关物种的种群中进行的。但是,在社区一级,尚未做出任何尝试来验证许多物种的概念。在本研究中,我研究了受到不同程度的人为干扰的温带蝴蝶群落,并运用通才/专家概念来分析蝴蝶群落的结构。蝴蝶是最适合研究生物种群和群落结构和动力学的生物。成年人很容易在野外辨认,他们的生活史在日本已广为人知。我的研究系列由以下四章组成。第1章:基于通才与专家策略的概念,沿着人为干扰的环境梯度在蝴蝶群落结构中的模式我通过线样剖面图在1980年期间每月进行两次普查,从而监测了9个具有不同程度人为干扰的蝴蝶群落日本中部筑波市及其周边地区的方法。我使用通才/专家概念分析了社区结构。基于减少的人为干扰的场所(社区)顺序与蝴蝶物种多样性(H u27),物种丰富度(物种总数)和社区中的专业物种数量呈正相关,但与物种数量无关。通才物种。无论人为干扰的程度如何,通才物种的数量都相当恒定。因此,蝴蝶物种的多样性和物种丰富度都比专家更依赖专家。分析还表明,通才物种在社区中广泛分布,并保持着较高的种群密度,从而使社区中的种群数量处于较高的地位,每个物种的密度在空间上具有更大的变化。专业物种呈现相反的趋势。这些结果表明,通才/专家概念是适用于分析自然群落结构的强大工具。第2章:基于通才/专家概念在不同地区的人类干扰的草地栖息地梯度上对蝴蝶群落模式的重新检验在上一章中,我通过应用通才/专家对沿人类干扰梯度的蝴蝶群落进行了分析概念。蝶类根据其流行性(季节时间维度)和潜在的幼虫资源广度(食物维度)被分为普通或专长物种。群落结构和物种组成显示出沿梯度的系统变化。为了验证这些趋势的普遍性,我选择了另一个蝴蝶群落数据(Sei 1986a,b),该数据是通过1985年在山脚下采用线样线法每月两次监测五个具有不同程度人为干扰的草原蝴蝶群落而获得的。日本中部的富士,以类似于上一章中所使用的方式分析了它们的结构。大多数结果与上一章中确认的模式一致。基于不断增加的人为干扰的路径(社区)顺序与蝴蝶物种丰富度呈负相关,而与蝴蝶物种多样性(H u27)和均匀度(J u27)均不相关。同样,在社区中,人为干扰的程度与专业物种的数量呈显着负相关,而与通才物种的数量则没有负相关。蝴蝶物种的丰富度与专业物种的数量相比,与通才物种的数量更紧密相关。分析还表明,通才物种比专家更广泛地分布在社区中。但是,与前一章所揭示的趋势相反,两个物种组之间的种群密度和空间种群变异性没有显着差异。整体上,本分析证实了上一章中检测到的大多数社区模式的一致性。某些模式不一致的原因被认为主要是由于目前的栖息地条件以及在高海拔地区生长季节相对较短的缘故。第3章:通过多元方法和通才/专家策略的概念分析蝴蝶群落的结构和组成,以及保护意义在本章中,我使用多元分析对第1章中蝴蝶数据的群落结构进行了分析。当前的分析与我之前的分析(第1章)形成了鲜明的对比,在第1章中,对每个蝴蝶物种在进行数据分析之前,根据其幼虫的食用植物和专长,根据其幼虫的食物植物和兽医学,对其进行了通用,中级或专业化的分配概念。目前的主成分分析(PCA)结果表明,蝴蝶群落由两个物种组(I和II)组成。聚类分析的结果(使用算术平均值的非加权对群方法(UPGMA))也支持该物种分组。将当前结果与第一章中使用的物种分类进行比较,发现蝴蝶群落由五个物种组(专家,中间体I和II,以及通才I和II)组成,它们的生态特征互不相同。通过比较五个物种组中它们的特征,建议在蝴蝶群落中,专家组和通才组II的位置是通才-专科医生选择谱上的终点,而其他三个组分别是位于这两个极端之间。多元分析的结果表明,在先前研究中按先验分类的专家,中级和通才群体中,只有专家组可以被很好地区分,而通才和中级群体又可以进一步分为两组具有不同特征的亚组(I和II)。多元方法还成功地从蝴蝶社区中提取了一个典型的通才群体(即通才II)。我建议并推荐通才/专家(r / K)概念和多元方法的协同应用,以对社区结构和组成进行详细分析和更深入的了解。目前的结果还表明,本研究中采用的方法非常有效,有助于识别和发现本地蝶类保护的优先物种或目标物种。第四章:基于专家/专家概念的社区分析在生境岛屿环境评价中的应用:筑波市新建公园蝴蝶群落结构的岛屿生物地理分析我分析了新建城市公园中的蝴蝶群落(C区),日本中部筑波市的“新近开放的栖息地岛”。该地区是大陆的自然生态实验,旨在阐明动物迁徙的方式和过程。根据岛屿生物地理学理论和通才/专家的概念,我将C区的蝴蝶群落与其他两个地区的蝴蝶群落进行了比较。结果表明:(1)C区发现的物种比其他地区少,主要是由于该地区缺少许多专家类型,受限制和栖息地的专家和/或低密度物种。在C区中,通才类型,广泛的和栖息地的通才和/或高密度物种占主导地位。(2)C区中三个区域之间的物种数量差异可以通过相应区域内和附近的栖息地结构来解释。 (3)C区许多物种的密度较低,可能是由于其人为改变的栖息地结构。特别是,几种物种在C区的密度极低,但在其他地区的密度高。 (4)C区栖息岛蝶类群落的内部结构与在岛屿定居期间出现的“准平衡”群落的内部结构几乎完全一致。这些结果表明,通才/专家概念和岛屿生物地理学理论的协同应用对于理解生境岛屿社区的格局和结构是有效的。总体而言,我得出以下结论:(1)基于本研究中发现的基于通才/专家概念的人为干扰环境梯度,蝴蝶群落结构的模式既健壮又通用,可能在各种类型的栖息地中都很常见,环境和生态系统,(2)甚至相对稳定的环境也通常具有异构结构,具有稳定性和不稳定性,因此,支持专家和通才的混合以及由此而来的丰富的物种丰富性和多样性,并且(3)基于通才/专家概念的分析方法是一种高度可操作的方法,具有良好的预测和解释能力,非常适用于各种类型的分析关键词:蝴蝶群落,群落模式,群落结构,优先保护,环境干扰,通才-专家选择连续体,通才和专家策略,人居岛,人为干扰,岛屿生物地理学理论,岛屿格局,鳞翅目,主成分分析(PCA),路线顺序,物种特征,物种分类,物种组成,物种分布,物种丰富度,温带蝴蝶物种。

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