Asymmetric Competition Research Articles

Asymmetric competition for habitats between the temperate Japanese eel Anguilla japonica and the tropical Indo-Pacific eel A. marmorata

Habitat segregation is a common phenomenon among anguillids in rivers where multiple species coexist. However, despite the growing need to conserve their river habitats, the mechanisms underlying such segregation remain unknown. Here, we conducted tank experiments to investigate the competitive superiority for habitats between the temperate Japanese eel Anguilla japonica and the tropical Indo-Pacific eel Anguilla marmorata, which co-occur in East Asian subtropical rivers. Using eight interspecific pairs of these two species of comparable total length, we compared the use of a single pipe shelter, recorded over a 24-h experimental period, between solitary and paired conditions. The changes in shelter use patterns between conditions indicated that in the paired condition, the shelter was occupied by A. marmorata in five pairs (62.5%) by the end of the experiment while A. japonica appeared to occupy the shelter in only one pair (12.5%). Furthermore, agonistic behaviors, which occurred mainly at night, such as biting and head-butting, were observed much more frequently for A. marmorata toward A. japonica (mean ± standard deviation: 23.2 ± 36.6 times per individual) than for A. japonica toward A. marmorata (0.4 ± 0.5 times per individual), indicating an asymmetry in aggressiveness. These results suggest that A. marmorata can negatively affect the diurnal habitat use and nocturnal activities of sympatric A. japonica. These findings, combined with those from previous field studies, suggest that A. marmorata may competitively exclude A. japonica from stream habitats with large substrate sizes. This asymmetric competition can contribute to shaping their riverine distribution and composition within rivers where they co-occur.

Experimental evidence of inbreeding depression for competitive ability and its population-level consequences in a mixed-mating plant.

Inbreeding depression is a key factor regulating the evolution of self-fertilization in plants. Despite predictions that inbreeding depression should evolve with selfing rates as deleterious alleles are increasingly exposed and removed by selection, evidence of purging the genetic load in wild populations is equivocal at best. This discordance could be explained, in part, if the load underlying inbreeding depression is subject to soft selection, i.e., the fitness of selfed individuals depends on the frequency and density of selfed vs. outcrossed individuals in the population. Somewhat counterintuitively, this means that populations with contrasting mutation load can have similar fitness. Soft selection against selfed individuals may be expected when there is inbreeding depression for competitive ability in density-regulated populations. We tested population-level predictions of inbreeding depression in competitive ability by creating a density series of potted plants consisting of either purely outcrossed, purely selfed, or mixed (50% outcrossed, 50% selfed) seed of the mixed-matingbiennial Sabatia angularis (Gentianaceae) representing ecological neighborhoods. Focusing on the growth and survival of juveniles, we show that mean plant size is independent of neighborhood composition when resources are limiting, but greatest in outcrossed neighborhoods at low densities. Across a range of densities, this manifests as stronger density-dependence in outcrossed populations compared to selfed or mixed ones. We also found significantly greater size inequalities among individuals in mixed neighborhoods, even at high densities where mean juvenile size converged, a key signature of asymmetric competition between outcrossed and selfed individuals. Our work illustrates how soft selection could shelter the genetic load underlying inbreeding depression and its demographic consequences.

Asymmetric spatial competition and dynamics in digitalization: Will public R&D support and marketization exacerbate spatial polarization?

This paper investigates the asymmetric spatial spillover effects of digital development across different types of cities. The results of the two-regime spatial Durbin models, using the panel data of 279 cities in China from 2011 to 2021, reveal the spatial polarization phenomenon in digitalization, where stronger cities such as smart cities, provincial capitals, and port cities become more dominant while weaker cities struggle to catch up. Increasing public R&D support leads to positive spatial spillover effects but exacerbates the spatial “Matthew effect” of digitalization. Additionally, marketization plays a moderating role by enhancing resource allocation efficiency and suppressing negative spatial spillover effects. Higher levels of marketization result in smaller digital gaps between cities. The findings provide valuable insights for decision-makers and stakeholders seeking to foster balanced and inclusive urban development in the digital age.

Competing Manufacturers Adopt Blockchain for Tracing Power Batteries: Is There a Win-Win Zone?

Blockchain-based battery tracking offers solutions to issues like information asymmetry, counterfeit battery risk, and technical barriers in assessing battery condition. This paper aims to identify the drivers behind manufacturers adopting blockchain for battery tracking and assess whether a mutually beneficial outcome exists. We develop a game model featuring two competing manufacturers, and extend it to include asymmetric competition and battery quality considerations. Equilibrium solutions reveal two main incentives for manufacturers to adopt blockchain: reverse profit compensation and enhancement of battery quality. Blockchain traceability facilitates retired battery recovery in a large-scale market, even when adoption costs outweigh reuse savings and collection prices are low. If one manufacturer implements blockchain, reducing blockchain costs or expanding the market can lead to a “win-win” outcome for competitors. Our findings offer novel managerial insights into manufacturers’ blockchain adoption decisions.

Is local competition effective in improving quality and efficiency of hospitals? Insights from an asymmetric spatial competition model

A critical aspect of healthcare reforms in various countries revolves around the relationship between efficiency, quality, and competition. Exploring the spatial dimension of competition is essential to understand this connection thoroughly. In this study, we develop a theoretical model that examines hospitals' choices regarding quality and cost-containment efforts across different competitive environments characterized by varying spatial distributions of hospitals. We derive and fully characterize hospitals' reaction functions and Nash equilibria concerning quality and cost-containment efforts. Our findings reveal that while localized competition tends to reduce hospitals' efforts in cost containment, its impact on treatment quality can vary. This variation depends on factors such as the cost of delivering quality care, its benefits to patients, and hospitals' objectives, including their level of altruism. Our findings contribute to the ongoing debate on the role of local competition in healthcare. They offer insights into the conditions that could yield divergent outcomes, often advocated by conflicting perspectives. These conditions serve as a foundation for refining competition policy models in healthcare.

Asymmetric competition among stream fishes: Do food web pathways affect competitive outcomes?

Asymmetric competition among stream fishes: Do food web pathways affect competitive outcomes?

U.S. strategy of damage limitation vis-à-vis China: long-term programs and effects

A number of U.S. military programs, if successfully developed and deployed, could undermine China's nuclear retaliatory capabilities, thereby enhancing U.S. damage limitation capabilities vis-à-vis China. Meanwhile, China seeks to maintain the credibility of its nuclear retaliatory capabilities and increase the survivability and penetration of its nuclear weapons. These interactions are part of the nuclear competition between the United States and China. This article discusses three cases: the U.S. homeland missile defense system, anti-submarine warfare (ASW) preparations, and the space-based Ground Moving Target Indicator. These programs may serve declaratory purposes in one way or another, but their development has had a negative impact on China’s strategic nuclear retaliatory capabilities. Using non-nuclear means that differ technologically from the measures taken by China, these programs have created an asymmetric competition between the two sides. These U.S. programs have endured for several decades, and have continued to introduce new technologies despite occasional interruptions. The main element of development in these programs has been qualitative improvement, while quantitative increases have not always been evident. The development of these U.S. damage limitation capabilities put pressure on China’s nuclear retaliatory capabilities. The arms race theories developed during the Cold War are inadequate for fully understanding nuclear competition between the United States and China. We need new theories and wisdom to explore cooperative solutions.

Effects of resource availability and interspecific interactions on Arctic and red foxes' winter use of ungulate carrion in the Fennoscandian low-Arctic tundra.

In the Arctic tundra, predators face recurrent periods of food scarcity and often turn to ungulate carcasses as an alternative food source. As important and localized resource patches, carrion promotes co-occurrence of different individuals, and its use by predators is likely to be affected by interspecific competition. We studied how interspecific competition and resource availability impact winter use of carrion by Arctic and red foxes in low Arctic Fennoscandia. We predicted that the presence of red foxes limits Arctic foxes' use of carrion, and that competition depends on the availability of other resources. We monitored Arctic and red fox presence at supp lied carrion using camera traps. From 2006 to 2021, between 16 and 20 cameras were active for 2 months in late winter (288 camera-winters). Using a multi-species dynamic occupancy model at a week-to-week scale, we evaluated the use of carrion by foxes while accounting for the presence of competitors, rodent availability, and supplemental feeding provided to Arctic foxes. Competition affected carrion use by increasing both species' probability to leave occupied carcasses between consecutive weeks. This increase was similar for the two species, suggesting symmetrical avoidance. Increased rodent abundance was associated with a higher probability of colonizing carrion sites for both species. For Arctic foxes, however, this increase was only observed at carcasses unoccupied by red foxes, showing greater avoidance when alternative preys are available. Supplementary feeding increased Arctic foxes' carrion use, regardless of red fox presence. Contrary to expectations, we did not find strong signs of asymmetric competition for carrion in winter, which suggests that interactions for resources at a short time scale are not necessarily aligned with interactions at the scale of the population. In addition, we found that competition for carcasses depends on the availability of other resources, suggesting that interactions between predators depend on the ecological context.

Competition under demand uncertainty: The roles of technology and capacity strategy

To uncover the secrets of creating competitive advantage for firms under demand uncertainty, we study the roles of technology level and capacity investment strategies. Specifically, we analyze the Nash equilibrium of two competing firms at different technology levels under two capacity investment strategies, namely flexible or inflexible. We examine both symmetrical competition where the two firms adopt a same capacity type (flexible or inflexible), and asymmetrical competition where the two firms invest different capacity types. We find that an advanced technology level incentivises capacity expansion regardless of the capacity strategy adopted. In addition, the technology-capacity relationship significantly depends on demand distribution when both firms adopt inflexible capacity investment, but is independent of demand distribution when both firms invest in flexible capacity. No overwhelming superiority is observed from either side when both firms adopt the same capacity investment, and firms always co-exist in a profitable market, despite significant differences in technology. However, overwhelming superiority emerges from one side when both firms have different capacity investments. A firm can squeeze out its competitor and capture the entire market by upgrading its technology. When the two firms adopt the same capacity strategy, each firm may increase or decrease its technology level and capacity volume proportionally in equilibrium, regardless of the competition scenarios. We further explore the endogenous capacity investment type and technology flexibility in competition. We show that the competition effect plays an important role when the flexible capacity cost is moderate.

Interspecific competition impacts the occupancy and range limits of two ptarmigan species along the elevation gradient in Norway

Many mountain species are expected to respond to climate change through upslope shifts of their range limits, but competition may restrict or alter this response. Under traditional range‐limit theory, it is expected that lower‐elevation species are better competitors than closely related higher‐elevation species. However, recent work finds that this prediction is often unmet. We investigated evidence for the impact of competition during breeding season on the elevational range limits of a pair of closely related bird species, willow ptarmigan Lagopus lagopus and rock ptarmigan L. muta, in mainland Norway. The species share overlapping ranges that loosely divide slightly upslope from the treeline ecotone, with willow ptarmigan generally occupying lower sites and rock ptarmigan occupying higher sites. We used multi‐species occupancy models to test four competing hypotheses for how competition may affect the range limit between willow ptarmigan and rock ptarmigan: 1) asymmetric competition that restricts the lower range limit of rock ptarmigan; 2) asymmetric competition that restricts the upper range limit of willow ptarmigan; 3) condition‐specific competition that restricts both species' range limits; and 4) range limits unaffected by competition. We found evidence for a negative pairwise interaction between the two species. Changes in interaction strength along the elevation gradient suggested evidence for condition‐specific competition. However, a strong positive correlation between rock ptarmigan and higher‐elevation habitat resulted in a highly asymmetric outcome, where the upper range limit of willow ptarmigan was restricted but rock ptarmigan occupancy was fairly independent of willow ptarmigan. This outcome is opposite to the prediction of traditional range‐limit theory and may suggest a greater climate threat to willow ptarmigan than has been previously projected. Thus, our results demonstrate the importance of considering biotic interactions at both the higher and lower ends of species' range limits along elevation gradients.

Lethal effect of Goniozus legneri on Cactoblastis cactorum: A potential biocontrol agent for inundative releases.

Cactoblastis cactorum (Berg) (Lepidoptera: Pyralidae), the cactus moth, is native to South America with a widespread distribution in Argentina. The larvae consume the interior of Opuntia spp. (Cactaceae) plants. The moth was used as a biocontrol agent against invasive non-native Opuntia spp. in many countries around the world. The cactus moth arrived unintentionally in Florida, USA, expanded its range and threatened Opuntia-based agriculture and natural ecosystems in southern North America. The insect is also a pest of cultivated O. ficus-indica L. in Argentina. An endemic South American parasitoid, Goniozus legneri Gordth (Hymenoptera: Bethylidae), is used in inundative biological control programmes against lepidopteran pests. The goal of this work was to evaluate G. legneri as a biocontrol agent to be used in inundative releases against C. cactorum. Mortality of C. cactorum by G. legneri was assessed at different spatial scales, as well as the interactions with Apanteles opuntiarum Martínez & Berta (Hymenoptera: Braconidae), a common Argentine natural enemy of C. cactorum. The ability of G. legneri to paralyse, parasitise and kill C. cactorum was confirmed. The paralysis inflicted on C. cactorum larvae reduced larval damage to the plants by 85%. Using two parasitoid species increased the mortality of C. cactorum larvae, but it was highly dependent on the order of their arrival. The combined mortality caused by both parasitoids was higher than a single one, in particular when G. legneri arrived first (56 ± 1%), suggesting asymmetric competition due to the preference of G. legneri attacking previously parasitised larvae. Goniozus legneri has potential as an inundative biocontrol agent of C. cactorum, but its interaction with the classical biocontrol agent A. opuntiarum needs to be considered.

Service design under asymmetric service provider competition: Applications of AI services

Recently, with the advancement of artificial intelligence (AI) technology (e.g. ChatGPT), more enterprises are incorporating AI into their customer service to reduce costs. However, the excessive use of AI technology will also reduce consumers’ satisfaction with services, and finding a balance between high-quality human service and cost-effective AI service is crucial for enterprises. To answer this question, this paper establishes a service competition model in which a service integrator (SI) procures services from an AI service provider (ASP) and a human service provider (HSP), and then combines them to offer integrated services to consumers. The findings reveal that, under certain conditions, the introduction of low-cost AI service by SI may result in increased product price. This occurs because ASP tends to set higher price for AI service to ensure its profitability per unit. When the consumer service sensitivity is moderate, SI can generate greater profits by skillfully designing blended service instead of relying on a single service. HSP encourages SI to adopt some of its competitors’ AI service when the consumer service sensitivity is low, while ASP does the opposite. Interestingly, a win–win scenario emerges, where all competing service providers earn higher profits compared to offering exclusive services, and SI profits and consumer welfare are also higher. In addition, service integration is essential to increase revenue for all parties involved, but the revenue increase is the same regardless of which party performs the service integration.

Priority effects of forbs arriving early: the role of root interaction and asymmetric competition

BackgroundThe priority effect of plant arrival is a key driver of community assembly and ecosystem succession during the restoration of degraded plant communities. However, the significance of the arrival order of different plant functional groups and their interactions with community assemblies remains unclear. Using a phytotron experiment with three fully crossed factors, we investigated the underlying mechanisms of priority effects and their relationships with the biomass and biodiversity effects in mixed plant communities by manipulating the order of arrival of species, isolation of roots, and removal of specific plants.ResultsThe results showed that the strength and direction of priority effects were influenced by arrival order, root interactions, asymmetric competition among species, and their interactions. The identities of early and late-sown species also determined the magnitude of priority effects. The priority effects were stronger in grass-first (24.76%) and legume-first communities (24.48%) than in forb-first communities. The pot biomass of the different priority treatments was highest in grass-first (5.85 g), followed by legume-first (3.94 g) and forb-first (2.48 g). The order of arrival in the mixture significantly affected the net biodiversity effects (P < 0.001), which were driven by dominance effects. The community had lower overall biomass when forbs were sown first, whereas the species grown later had fewer costs with an increased overall net benefit for the resulting community.ConclusionsOur results emphasize that root interactions and asymmetric competition are vital determinants of order-specific priority effects in community assemblies. In addition, the importance of the priority effect of forbs sown first is related to community assembly, which may be a key determinant in successfully establishing a highly diverse community in the early stages of restoration. Species with weak competition should be considered in the early stage of community assembly. The rational use of the priority effect is conducive to improving the quality and efficiency of ecological restoration efforts.

Post-fire growth of Pinus halepensis: Shifts in the mode of competition along a precipitation gradient

Competition can intensify the struggle for resources among plants, affecting forest growth and dynamics. The intensity and mode of competition – asymmetric vs. symmetric – can change along environmental gradients and with time, impacting the response of plants to their environment, but this is seldom explicitly considered in management plans. In this study, we aim to (i) disentangle the main environmental and tree-related factors that affect post-fire Pinus halepensis sapling growth; (ii) determine which mode of competition characterizes the species post-fire regeneration; and (iii) elucidate if the mode of competition changes with time, and along climatic gradients. We sampled 148 P. halepensis saplings located in 15 sites affected by wildfires between 1987 and 2013 in Catalonia (NE Spain). We measured their radial growth at the base, and we identified their competitive environment by locating and measuring all the trees in a 3-meter-radius from our target saplings. We modelled the effect of tree size, age, climate, and competitive environment on the post-fire regeneration growth following the neighborhood theory of forest dynamics and using model comparison and information criteria to address our research questions. We used a modification from the Hegyi index to determine the prevalence of symmetric vs. asymmetric competition, and we assessed the support for models in which competition was allowed to vary with age and precipitation. The best model showed that competition, precipitation, age, and target size influenced the radial growth of P. halepensis post-fire regeneration (Akaike weight 0.66, R2 = 0.52). We found evidence that P. halepensis mode of competition is generally asymmetric but can change along a precipitation gradient: it shifts from asymmetric in drier sites to almost fully symmetrical as precipitation increases. Our findings have implications for the management of post-fire P. halepensis stands, enabling the adaptation of silvicultural prescriptions to the climatic environment. In a context of increasing water scarcity, adaptive silviculture is fundamental to foster the resilience of pinewoods to future climatic and disturbance regimes.

Асимметричная конкуренция: классические университеты и борьба за научное лидерство в позднесоветский период

The article characterizes the process of universities' struggle for scientific leadership during the late Soviet period, in light of government approaches to the allocation of resources for the development of the research sphere. In the 1930s, the Soviet government gave universities their own unique identity, but priority in organiz-ing and financing advanced scientific research was given to the Academy of Sciences and industrial research institutes. This imbalance continued throughout the Soviet period. Under these circumstances, universities faced asymmetric competition. They needed to find additional funding by following the dominant ideas of the Soviet establishment about the criteria for useful scientific research – one that gives quick results with a noticeable im-pact on the national economy. In this struggle, a few leaders emerged (no more than 10% of all universities), among which a number of old Russian universities, such as those in Moscow, Leningrad, Kazan, Tomsk, etc., occupied a prominent place. As a result, there was a bias towards applied developments, and little support was given to fundamental and especially humanities research. This was due to universities seeking their place in changing political and public context. This feature is characteristic of post-Soviet universities, which, after find-ing their niche in the Soviet apparatus empire, moved away from the canonical image of a classical university. This shift seems paradoxical, because often this image has pushed universities towards the path of struggle for scientific leadership.

The interplay of China and Gulf countries in third-party market dynamics: an asymmetric competition perspective on the Belt and Road Initiative

China’s recent shift in the Belt and Road Initiatives (BRI) focusses on engaging middle powers in the Global South for joint development of commercially viable projects in third countries. Among these are the oil-rich Gulf heavyweights seen as critical partners and supporters of the BRI. Yet, instances of competition or conflict of interests with Beijing are not uncommon. Applying the asymmetric competition theory, this study compares Sino-Emirati interactions in maritime infrastructure in the Horn of Africa with Sino-Saudi cooperation in China-Pakistan Economic Corridor. We find that Gulf heavyweights can leverage their asymmetric advantages to affect the interaction patterns with greater powers. By distributing resources disproportionally, the medium Southern powers can strive to partially establish structural power, enabling them to get dis-embedded from the single cooperation framework dominated by a great power. In the case of seemingly harmonious third-party collaboration, a dynamic analytical perspective reveals that early embedding these actors might lay the groundwork for the creation of asymmetric advantages which can be leveraged later.

Quantification of intraspecific and interspecific competition in fish species of the Aegean Sea

Abstract Competition shapes species coexistence and community assembly, playing a central role in maintaining biodiversity and ecosystem resilience. Here, we used an asymmetric competition index that quantifies the possible competitive effect of a species on any other, using southern Aegean Sea nekton biomass from the Mediterranean International Trawl Survey dataset, combined with data on six traits relevant to trophic ecology and spawning. We modeled the effect of selected haul-level covariates on the competition index, and we indicated competition variation across depth and habitats. Most species experienced stronger inter- than intra-specific competition. Both the higher-than-expected significance of interspecific competition (in comparison to intraspecific that is generally anticipated to be higher) and the existence of an extensive network of multiple competitive interactions indicated, are associated with high biodiversity, combined to the absence of dominance by one or a few species in the community (no species is disproportionally highly abundant in comparison to others); the latter may be relevant to community stability and resilience. The quantification of competition across marine ecosystems can help predict how fish communities will respond to future resource availability and environmental conditions.

Vairimorpha apis Versus Vairimorpha ceranae, Replacement or Dynamic Prevalence?

Abstract Nosematosis is currently a frequently discussed disease of bees caused by two species of microsporidia: Vairimorpha apis, and Vairimorpha ceranae. Vairimorpha apis represents the original species of Apis mellifera parasite, and Vairimorpha ceranae, is a species introduced from Asia. In the last two decades, epidemiological data on the growth of the prevalence of V. ceranae infection have increased, which has led to its dominant position at the expense of its congener V. apis, practically all over the world. This process is assumed to be the result of asymmetric competition within the host, where V. ceranae, showed a better ability to adapt to higher temperatures, which was first manifested by its spread in warmer climate zones. However, several results of studies from recent years somewhat unexpectedly showed that it is premature to talk about the complete replacement of V. apis by V. ceranae. They pointed to a greater influence of seasonality and average temperatures in winter and summer in a given year on the result of the current prevalence of infection and co-infection of Vairimorpha spp., regardless of the climatic zone in which the colonies were located. Considering the different clinical and subclinical manifestations of infection caused by V. apis, and V. ceranae, and its impact on the defense, survival and productivity of bee colonies, the aim of our work was to analyze the factors affecting the distribution and prevalence of Vairimorpha spp.

Sequential versus concurrent final phase product development: Approval uncertainty, time‐sensitive consumers, asymmetric competition, and government subsidy

Should a firm begin its production even before its new product is approved? In a competitive market with time‐sensitive consumers, a firm may choose to adopt the “concurrent process” by conducting the approval process and the production process in parallel so that the product will become available for sale once approved. However, to avoid incurring upfront (production related) investments that are nonrecoverable should the product fail to receive approval, a firm may opt for the “sequential process” so that the production process will only begin after approval. But such a sequential process can delay product launch, making the firm less competitive. These trade‐offs between the concurrent and sequential development processes and the recent Covid‐19 vaccine development motivate us to examine the process choice in the presence of three salient factors: (a) uncertain product approval, (b) time‐sensitive consumers, and (c) asymmetric firm competition—firms have different ex ante approval probabilities. Our equilibrium analysis reveals that it is possible for the laggard firm (the firm with lower ex ante approval probability) to aggressively adopt the concurrent process whereas the leading firm (the firm with higher ex ante approval probability) adopts the sequential process. First, as the approval requirement tightens, both firms have a lower chance of receiving approval, and the laggard firm is more likely to adopt the sequential process than the leading firm. Second, as consumers become more time sensitive, the leading firm is more eager to adopt the concurrent process than the laggard firm. Finally, when the firm asymmetry is large, competition does not always soften and both firms may compete directly by adopting the sequential process. We also examine the case when consumers are “forward‐looking” instead of “myopic.” We find that forward‐looking behavior increases competition and motivates both firms to adopt the concurrent process. Finally, we consider the case when the government offers subsidies to defray the nonrecoverable investments to increase the chance of having an approved product available sooner. Interestingly, we find such a subsidy can backfire resulting in lower consumer welfare and lower profit for the firms especially when consumers are time insensitive.

Multidimensional beta-diversity across local and regional scales in a Chinese subtropical forest: The role of forest structure.

Beta-diversity, or the spatio-temporal variation in community composition, can be partitioned into turnover and nestedness components in a multidimensional framework. Forest structure, including comprehensive characteristics of vertical and horizontal complexity, strongly affects species composition and its spatial variation. However, the effects of forest structure on beta-diversity patterns in multidimensional and multiple-scale contexts are poorly understood. Here, we assessed beta-diversity at local (a 20-ha forest dynamics plot) and regional (a plot network composed of 19 1-ha plots) scales in a Chinese subtropical evergreen broad-leaved forest. We then evaluated the relative importance of forest structure, topography, and spatial structure on beta-diversity and its turnover and nestedness components in taxonomic, functional, and phylogenetic dimensions at local and regional scales. We derived forest structural parameters from both unmanned aerial vehicle light detection and ranging (UAV LiDAR) data and plot inventory data. Turnover component dominated total beta-diversity for all dimensions at the two scales. With the exception of some components (taxonomic and functional turnover at the local scale; functional nestedness at the regional scale), environmental factors (i.e., topography and forest structure) contributed more than pure spatial variation. Explanations of forest structure for beta-diversity and its component patterns at the local scale were higher than those at the regional scale. The joint effects of spatial structure and forest structure influenced component patterns in all dimensions (except for functional turnover) to some extent at the local scale, while pure forest structure influenced taxonomic and phylogenetic nestedness patterns to some extent at the regional scale. Our results highlight the importance and scale dependence of forest structure in shaping multidimensional beta-diversity and its component patterns. Clearly, further studies need to link forest structure directly to ecological processes (e.g., asymmetric light competition and disturbance dynamics) and explore its roles in biodiversity maintenance.