植物群落物种共存机制的研究进展

物种共存是由进化、历史及生态尺度上的过程决定的.现存的理论从不同的尺度探讨了植物群落物种共存的可能机制,本文阐述了其中几种重要的理论.种库理论在进化和历史尺度上解释了植物物种共存的形成原因.在生态尺度上,虽然传统的生态位理论受到质疑,但是更新生态位理论和资源比率/异质性假说越来越受到重视;竞争共存理论认为具有相似竞争能力或能够避免竞争排斥的植物物种可以共存.在非平衡条件下,生物和非生物因素对植物物种共存也有显著影响,它们一方面作用于竞争优势种,使竞争优势向稀有种转移,另一方面可以创造生境时空异质性,为生态位分化提供机会.生态漂变学说认为群落中物种的组成不断变化,物种的共存和分布由随机因素决定.这些植物群落物种共存理论各有所长,互相补充.应用现代科学技术进行研究,结果必将促进人们对植物物种共存问题的深刻理解.     

草地群落物种多样性维持机制的研究Ⅱ物种实现的生态位

尽管为解释种类丰富的植物群落物种共存和多样性维持机制,生态学家位做了大量的努力并提出了许多假说和模型。但这一问题仍处在争议之中,需要更多的证据支持他们的观点或提出新的看法,使这一生物多样性难题不断地向前推进。以松赖平原物种丰富度较高的羊草－杂类草群落为对象,在土壤C、N、P、K和H2O等5个资源轴上,探讨了物种多样性与实现生态位的关系。结果表明：尽管物种生态位存在一定程度的分化,但多数物种的生态位是高度重叠的,物种生态位的分化在草地群落物种共存和多样性维持中,不是唯一的途径,认为应更加重视的物种在长期协同进化中所形成的生物学特性。     

外来物种入侵后的多物种竞争共存的集合种群模型

基于多物种竞争共存模型,提出外来物种与本地物种竞争共存途径的两种假想:外来物种通过插队竞争与本地物种实现共存;外来物种通过等位竞争与本地物种实现共存.并提出根据外来物种在两种竞争共存模式下占据生境斑块比例的稳定值大小来判断外来物种和本地物种的竞争共存途径.根据两种假想,分别建立了外来物种插队竞争共存模型和等位竞争共存模型.通过应用数学软件Mathematica 4.0对两个模型进行了模拟,得出以下结论:在外来物种与本地物种竞争共存状态下,如果外来物种通过插队竞争与本地物种实现共存,当本地物种竞争力差异较大时,外来物种极易对本地稀少物种构成危害.虽然外来物种不会直接造成本地稀少物种的灭绝,但是会使本地稀少物种的生境斑块急剧减少,增加本地稀少物种灭绝的可能性,而当本地物种竞争力差异较小时,外来物种对本地所有物种的影响都较小.如果外来物种通过等位竞争与本地物种实现共存,无论本地物种竞争力差异大小与否,外来物种只是影响到与其生态位相同的本地物种,影响程度取决于外来物种侵入时所占据生境斑块的比例大小.     

生态位分化与森林群落物种多样性维持研究展望

一直以来,生态学家和进化生物学家对森林群落物种多样格局及其形成机制持有不同的观点。虽然Robert Ricklefs将进化和生态过程整合的观点已经被群落生态学家广泛接受,但是区域物种进化历史以及局域群落微进化过程是否能够影响群落生态学过程以及这些过程如何影响群落结构和动态还有待商榷。经典的生态位理论同时强调了种间和种内生态位分化对群落多样性维持的影响。但是生态学家普遍认为种间差异足以代表群落内个体间的相互作用关系,并且由于进化过程导致的种内分化往往涉及较长的时间尺度,因此,虽然种内差异是自然选择的重要材料,物种对环境的适应性进化过程所导致的种内分化对群落构建的影响往往被生态学家所忽视。为此,通过回顾种间和个体生态位分化的研究历史,对两类研究分别进行简要阐述,强调在今后的群落生态学研究中需要考虑个体分化对局域群落构建的影响。     

草地群落物种多样性维持机制的研究（Ⅱ）：物种实现生态位

尽管为解释种类丰富的植物群落物种共存和多样性维持机制,生态学家们做了大量的努力并提出了许多假说和模型,但这一问题仍处在争议之中,需要更多的证据支持他们的观点或提出新的看法,使这一生物多样性难题不断地向前推进。以松嫩平原物种丰富度较高的羊草—杂类草群落为对象,在土壤C、N、P、K和H2O等5个资源轴上,探讨了物种多样性与实现生态位的关系。结果表明：尽管物种生态位存在一定程度的分化,但多数物种的生态位是高度重叠的,物种生态位的分化在草地群落物种共存和多样性维持中,不是唯一的途径,认为应更加重视物种在长期协同进化中所形成的生物学特性。     

集合种群模拟模型及其在竞争共存机制与物种多样性研究中的应用

以荒漠区人工植被的恢复与重建为背景,从宏观尺度研究了很集合种群的空间分布新模式,建立了基于Levins集合种群模型的数值模拟方法。对两物种的模拟结果表明：在适当选择参数下,模拟植被区的集合种群可以形成“海藻式”稳定的时空分布结构,在理论上表明相同生态特征的物种在空间生境中可以达成共存。为了达到物种丰富度和生产力最佳,实现持续发展,对多物种集合种群进行了模拟。模拟结果显示当物种的种数为5时,空间上随机播种的模拟种群覆盖率达到最大,因而可发挥最大的治沙作用。另外,模拟还显示在播种时应采取集聚式的空间播种模式,以使种群具有较高的防沙能力。该结果可为生物防沙治沙领域提供理论依据。     

两种果蝇成虫与幼虫期的竞争及其对二者共存的影响

昆虫均为完全或不完全变态发育,其幼虫和成虫阶段往往有着不同的资源需求。研究昆虫在幼虫和成虫阶段的生态位和适合度,有助于提升我们对昆虫物种共存和群落构建的认识。黑腹果蝇(Drosophilamelanogaster)和伊米果蝇(D.immigrans)是全球广布的两种果蝇,它们常常发生在相同的季节,且均在腐烂的水果上产卵,幼虫寄生在其中完成生长发育。本研究通过转瓶实验评估了这两种果蝇在连续竞争过程中的内禀增长率和种内与种间竞争系数,并进一步检验了它们的成虫对产卵场所,以及幼虫对食物的竞争强度,据此计算了两个物种在成虫和幼虫阶段的生态位分化与适合度差异,在当代物种共存理论的框架下分析了影响两种果蝇共存的关键因素。结果表明,连续饲养过程中,黑腹果蝇表现出更高的适合度,大概率会竞争排斥掉伊米果蝇。具体而言,两种果蝇在幼虫和成虫期均有极大的生态位重叠,虽然伊米果蝇成虫对产卵场所有着更高的利用率,黑腹果蝇的幼虫在生长发育阶段对饲料有着更高的利用率,但两种果蝇在成虫、幼虫阶段竞争的结果更多地取决于谁先占据资源。本研究表明昆虫在不同发育阶段对资源利用率的变化会在一定程度上影响它们共存的可能性。     

扩散模式对高阶相互作用物种共存机制的影响

物种共存机制是群落生态学研究的核心问题之一,但以成对物种间直接相互作用为主的传统共存理论,并未在实际群落中得到普遍证实。近年来,有研究表明,高阶相互作用,即一个物种对另一个物种的直接作用强度受到其他物种的间接影响,在群落竞争过程中的重要性不断得到发展。目前,对高阶相互作用的理论研究还主要集中在非空间理论模型。事实上,群落中个体的空间分布和扩散模式等对种群动态的影响均至关重要。故考虑空间因素,以三物种为例构建空间显式的群落动态模拟,通过引入不同的物种扩散模式,研究高阶相互作用对群落物种共存结果的影响。研究表明:(1)高阶相互作用可以促进也可能抑制物种共存,具体共存结果取决于高阶相互作用的方向、强度和分类;(2)当全部高阶相互作用都存在,且取值为正时,物种共存位置会发生偏移,原本生态位分化下共存的区域不再共存,而在生态位重叠度较高的区域,物种可以在更大范围的适合度差异下共存;(3)扩散模式对高阶相互作用的上述调节机制有一定的影响,且无论正高阶还是负高阶,当种群趋于局部扩散时,高阶相互作用的正向及负向调节效果均有所减弱。以上结论强调了在理论模型和实际保护工作中考虑相互作用网络的重要性,有助于进一步理解物种共存机制,能够为保护生物多样性提供理论依据。     

荒漠草原“土岛”生境群落物种共存机制

经过长期破碎化, 荒漠草原原生硬质灰钙土斑块散布在广大沙化土地中, 形成类似“土岛”的土被结构。为揭示土岛生境的群落物种共存机制, 2016年在宁夏盐池县皖记沟村选取大(200-300 m²)、中(约100 m²)、小(约50 m²)土岛各3个开展调查, 采用Jaccard相异系数、物种生态位宽度和生态位重叠度、零模型、Meta分析, 综合计算和分析土岛内部与外部植物群落相似性、物种生态位宽度和生态位重叠、物种共存格局及其影响因子。研究发现, (1)随着破碎化加剧, 土岛内部植物多样性整体呈现下降趋势, 群落优势种从短花针茅(Stipa breviflora)转变为猪毛蒿(Artemisia scoparia)和短花针茅共优种, 土岛内外群落相似性增加。(2)土岛内外绝大多数物种生态位重叠较小, 生态位重叠在土岛内呈集中分布, 而土岛外则呈均匀发散分布。(3)环境过滤为主的生态过程决定了土岛生境群落物种的共存格局, 随着土岛面积减小, 环境因子对群落物种共存的调控强度降低, 关键性环境因子由土壤细砂粒和黏粒转变为粗砂粒, 显著性竞争物种共存格局在小岛出现。综上所述, 土岛生境对于维持草原物种具有重要作用, 环境过滤主导了荒漠草原物种共存格局。随着生境破碎化加剧或土岛面积减小, 物种共存格局及其调控因子发生转变。保护面积在200 m²以上的大土岛对于恢复荒漠草原区草原成分种和其物种多样性机制都十分必要。     

用动态模型研究森林群落中物种间的竞争

研究了以过程为基础的模型在物种竞争试验模型及实践中的应用。应用森林动态林窗模型模拟了群落内物种竞争规律。结果表明：同一群落中具有不同生物、生态学特征的物种竞争过程与环境条件有密切关系。由此确定,竞争是与外部条件密切相关的,不是一个单独稀量物种特征的指标;具有相似生物和生态学特性的物种,在森林植被发育过程中,存在绝对竞争,具有较弱更新与生长能力的物种,始终处于竞争劣热,不宜于在这样的群落中生长,而且有较强更新和生长的树种在群落中处于优势地位。     

Testing mechanisms of coexistence among two species of frugivorous primates

1. We examined mechanisms of coexistence between two congeneric species of frugivorous primates, the blue monkey (Cercopithecus mitis) and the red-tailed monkey (C. ascanius). 2. We used giving-up densities (the amount of food which animals leave in a patch) in fruit trees to measure foraging efficiency and to evaluate possible mechanisms of coexistence. Animals with higher giving-up densities are less likely to persist in the company of those with lower giving-up densities because the former are not able to exploit food patches used previously by the latter. We climbed trees to estimate giving-up densities by counting the fruit which primates left behind. 3. We tested five possible mechanisms of coexistence. Three mechanisms proposed that each frugivorous species has a lower giving-up density than the other in at least one of the following: (1) different tree species, (2) within-tree foraging zones or (3) seasons. The fourth mechanism predicted that the socially dominant species exploits resources first and that the subordinate species has lower giving-up densities. The final mechanism predicted that one species would find resources more quickly than the other, which would in turn have a lower giving-up density. 4. Four of the five mechanisms received no support from our data. Only a trade-off between interspecific dominance and giving-up densities was supported. 5. We discuss the generality of our results and possible interactions with other factors.     

Dispersal network heterogeneity promotes species coexistence in hierarchical competitive communities

Understanding the mechanisms of biodiversity maintenance is a fundamental issue in ecology. The possibility that species disperse within the landscape along differing paths presents a relatively unexplored mechanism by which diversity could emerge. By embedding a classical metapopulation model within a network framework, we explore how access to different dispersal networks can promote species coexistence. While it is clear that species with the same demography cannot coexist stably on shared dispersal networks, we find that coexistence is possible on unshared networks, as species can surprisingly form self‐organised clusters of occupied patches with the most connected patches at the core. Furthermore, a unimodal biodiversity response to an increase in species colonisation rates or average patch connectivity emerges in unshared networks. Increasing network size also increases species richness monotonically, producing characteristic species–area curves. This suggests that, in contrast to previous predictions, many more species can co‐occur than the number of limiting resources.     

Emergent neutrality drives phytoplankton species coexistence

The mechanisms that drive species coexistence and community dynamics have long puzzled ecologists. Here, we explain species coexistence, size structure and diversity patterns in a phytoplankton community using a combination of four fundamental factors: organism traits, size-based constraints, hydrology and species competition. Using a 'microscopic' Lotka-Volterra competition (MLVC) model (i.e. with explicit recipes to compute its parameters), we provide a mechanistic explanation of species coexistence along a niche axis (i.e. organismic volume). We based our model on empirically measured quantities, minimal ecological assumptions and stochastic processes. In nature, we found aggregated patterns of species biovolume (i.e. clumps) along the volume axis and a peak in species richness. Both patterns were reproduced by the MLVC model. Observed clumps corresponded to niche zones (volumes) where species fitness was highest, or where fitness was equal among competing species. The latter implies the action of equalizing processes, which would suggest emergent neutrality as a plausible mechanism to explain community patterns.     

Interacting coexistence mechanisms in annual plant communities: Frequency-dependent predation and the storage effect

We study frequency-dependent seed predation (FDP) in a model of competing annual plant species in a variable environment. The combination of a variable environment and competition leads to the storage-effect coexistence mechanism (SE), which is a leading hypothesis for coexistence of desert annual plants. However, seed predation in such systems demands attention to coexistence mechanisms associated with predation. FDP is one such mechanism, which promotes coexistence by shifting predation to more abundant plant species, facilitating the recovery of species perturbed to low density. When present together, FDP and SE interact, undermining each other’s effects. Predation weakens competition, and therefore weakens mechanisms associated with competition: here SE. However, the direct effect of FDP in promoting coexistence can compensate or more than compensate for this weakening of SE. On the other hand, the environmental variation necessary for SE weakens FDP. With high survival of dormant seeds, SE can be strong enough to compensate, or overcompensate, for the decline in FDP, provided predation is not too strong. Although FDP and SE may simultaneously contribute to coexistence, their combined effect is less than the sum of their separate effects, and is often less than the effect of the stronger mechanism when present alone.     

Experimental evidence that evolutionary relatedness does not affect the ecological mechanisms of coexistence in freshwater green algae

The coexistence of competing species depends on the balance between their fitness differences, which determine their competitive inequalities, and their niche differences, which stabilise their competitive interactions. Darwin proposed that evolution causes species' niches to diverge, but the influence of evolution on relative fitness differences, and the importance of both niche and fitness differences in determining coexistence have not yet been studied together. We tested whether the phylogenetic distances between species of green freshwater algae determined their abilities to coexist in a microcosm experiment. We found that niche differences were more important in explaining coexistence than relative fitness differences, and that phylogenetic distance had no effect on either coexistence or on the sizes of niche and fitness differences. These results were corroborated by an analysis of the frequency of the co‐occurrence of 325 pairwise combinations of algal taxa in > 1100 lakes across North America. Phylogenetic distance may not explain the coexistence of freshwater green algae.     

Identifying mechanisms that structure ecological communities by snapping model parameters to empirically observed tradeoffs

Theory predicts that interspecific tradeoffs are primary determinants of coexistence and community composition. Using information from empirically observed tradeoffs to augment the parametrisation of mechanism‐based models should therefore improve model predictions, provided that tradeoffs and mechanisms are chosen correctly. We developed and tested such a model for 35 grassland plant species using monoculture measurements of three species characteristics related to nitrogen uptake and retention, which previous experiments indicate as important at our site. Matching classical theoretical expectations, these characteristics defined a distinct tradeoff surface, and models parameterised with these characteristics closely matched observations from experimental multi‐species mixtures. Importantly, predictions improved significantly when we incorporated information from tradeoffs by ‘snapping’ characteristics to the nearest location on the tradeoff surface, suggesting that the tradeoffs and mechanisms we identify are important determinants of local community structure. This ‘snapping’ method could therefore constitute a broadly applicable test for identifying influential tradeoffs and mechanisms.     

The ecological causes of functional distinctiveness in communities

Recent work has shown that evaluating functional trait distinctiveness, the average trait distance of a species to other species in a community offers promising insights into biodiversity dynamics and ecosystem functioning. However, the ecological mechanisms underlying the emergence and persistence of functionally distinct species are poorly understood. Here, we address the issue by considering a heterogeneous fitness landscape whereby functional dimensions encompass peaks representing trait combinations yielding positive population growth rates in a community. We identify four ecological cases contributing to the emergence and persistence of functionally distinct species. First, environmental heterogeneity or alternative phenotypic designs can drive positive population growth of functionally distinct species. Second, sink populations with negative population growth can deviate from local fitness peaks and be functionally distinct. Third, species found at the margin of the fitness landscape can persist but be functionally distinct. Fourth, biotic interactions (positive or negative) can dynamically alter the fitness landscape. We offer examples of these four cases and guidelines to distinguish between them. In addition to these deterministic processes, we explore how stochastic dispersal limitation can yield functional distinctiveness. Our framework offers a novel perspective on the relationship between fitness landscape heterogeneity and the functional composition of ecological assemblages.     

How variation between individuals affects species coexistence

Although the effects of variation between individuals within species are traditionally ignored in studies of species coexistence, the magnitude of intraspecific variation in nature is forcing ecologists to reconsider. Compelling intuitive arguments suggest that individual variation may provide a previously unrecognised route to diversity maintenance by blurring species‐level competitive differences or substituting for species‐level niche differences. These arguments, which are motivating a large body of empirical work, have rarely been evaluated with quantitative theory. Here we incorporate intraspecific variation into a common model of competition and identify three pathways by which this variation affects coexistence: (1) changes in competitive dynamics because of nonlinear averaging, (2) changes in species’ mean interaction strengths because of variation in underlying traits (also via nonlinear averaging) and (3) effects on stochastic demography. As a consequence of the first two mechanisms, we find that intraspecific variation in competitive ability increases the dominance of superior competitors, and intraspecific niche variation reduces species‐level niche differentiation, both of which make coexistence more difficult. In addition, individual variation can exacerbate the effects of demographic stochasticity, and this further destabilises coexistence. Our work provides a theoretical foundation for emerging empirical interests in the effects of intraspecific variation on species diversity.