Hump-shaped Relationship Research Articles

Tipping events in a fear-affected symbiotic ecological system with adaptive hunting strategy.

Experimental observations and field data demonstrated that predators adapt their hunting strategies in response to prey abundance. While previous studies explored the impact of predation risk on predator-prey interactions, the impact of symbiotic relationships between fear-affected prey and non-prey species on system dynamics remains unexplored. This study uses a mathematical approach to investigate how different symbiotic relationships govern system dynamics when predators adapt to prey availability. Our study illustrates that the mutualistic relationship between prey and partners extends predator survivability. However, the fear-affected symbiotic system may undergo regime shifts, which can be catastrophic or non-catastrophic, depending on symbiotic interaction patterns. The study demonstrates a hump-shaped relationship between the predator's optimal search rate and biomass and identifies an intermediate range of search rates where the system exhibits a "bubbling"phenomenon. Overall, our findings provide new insights into symbiotic relationships in community ecology, highlighting the complex interplay among predators, prey, and non-prey species.

Niche partitioning in a periphyton metacommunity peaks at intermediate species richness in midsized rivers.

The trait-based partitioning of species plays a critical role in biodiversity-ecosystem function relationships. This niche partitioning drives and depends on community structure, yet this link remains elusive in the context of a metacommunity, where local community assembly is dictated by regional dispersal alongside local environmental conditions. Hence, elucidating the coupling of niche partitioning and community structure needs spatially explicit studies. Such studies are particularly necessary in river networks, where local habitats are highly connected by unidirectional water flow in a spatially complex network structure and frequent disturbance makes community structure strongly dependent on recolonization. Here, we show that taxonomic turnover among periphyton communities colonizing deployed bricks (microhabitats) at multiple sampling sites (local habitats) in a river network came along with a turnover in traits. This niche partitioning showed a hump-shaped relationship with richness of periphyton communities, which increased along river size. Our observations suggest downstream dispersal along the river network to increase the regional metacommunity pool, which then ensures local colonization by taxa possessing diverse traits allowing them to efficiently partition into environmentally different microhabitats. However, at the most downstream sites, the excessive dispersal of widespread generalists drove mass effects which inflated richness with taxa that co-occupied several microhabitats and swamped niche partitioning. Further, efficient niche partitioning depended on communities rich in rare taxa, an indication for the importance of specialists. Alarmingly, richness and rare taxa declined with high phosphorus concentrations and conductivity, respectively, two environmental variables which potentially reflected anthropogenic activity.

Dynamic tax evasion and growth with heterogeneous agents

AbstractWe develop a tractable model economy in which public capital improves aggregate productivity, and the taxpayers have heterogeneous evasion opportunities. By issuing bonds, compliant taxpayers supply the evaders with an instrument to hedge against auditing risks, thereby expanding their evasion capacity. The wealth share of tax evaders relates negatively to the economy’s productivity but has a hump-shaped relationship with the growth rate of aggregate capital. The fiscal policy that maximizes welfare differs from the one that maximizes tax revenues because the latter does not account for the redistribution of wealth (and risk) between compliant and evasive taxpayers.

Landscape-scale drivers of spatial dynamics and genetic diversity in an emerging wildlife pathogen

Aquatic pathogens often cannot tolerate drying, and thus their spread, and diversity across a landscape may depend on interactions between hydrological conditions and the movement of infected hosts. The aquatic fungus Batrachochytrium dendrobatidis (Bd) is a nearly ubiquitous pathogen of amphibians and particular lineages have been associated with host declines. By coupling amphibian surveys with molecular pathogen detection and genotyping techniques, we characterized the spatial dynamics and genetic diversity of Bd on a landscape containing both permanent and ephemeral ponds. In doing so, we aimed to clarify how pathogen loads and prevalences vary across seasons and among habitat types, and which host species move the pathogen from place to place. At the start of spring breeding, Bd prevalence was lower on amphibians sampled from ephemeral ponds. For the remainder of the amphibian active season, prevalence was similar across both ephemeral and permanent ponds, with variation in prevalence being well-explained by a hump-shaped relationship with host body temperature. The first amphibians to arrive at these ephemeral ponds infected were species that breed in ephemeral ponds and likely emerged infected from terrestrial hibernacula. However, species from permanent ponds, most of which hibernate aquatically, later visited the ephemeral ponds and these animals had a greater prevalence and load of Bd, suggesting that migrants among ponds and pond types also move Bd across the landscape. The Bd we sampled was genetically diverse within ponds but showed little genetic structure among ponds, host species, or seasons. Taken together, our findings suggest that Bd can be diverse even at small scales and moves readily across a landscape with help from a wide variety of hosts.

Health, an ageing labour force, and the economy: Does health moderate the relationship between population age-structure and economic growth?

Abstract Research often suggests that population ageing will be detrimental for the economy due to increased labour market exits and lost productivity, however the role of population health and disability at older ages is not well established. Identifying whether the health of older people affects economic outcomes is challenging due to methodological issues. Using country-level panel data, we estimate the relationship between the size of the older working age population (aged 55-69) and economic growth across 180 countries from 1990 to 2017. We run models using annual data and 5-year moving averages of real per capita GDP growth as dependent variables. This enables us to quantify the gains in real per capita GDP growth associated with a healthy older working-age population on a country-by-country basis. The initial models confirm an inverse-U or hump-shaped relationship between population age groups and economic growth. In the 5 year average GDP growth model, the coefficient for the inverse of YLDs among 55-69 year olds is positive and significant at p < 0.01. The interaction term is significant at p < 0.001 in the same model. Across all countries, a 5% improvement in YLDs is associated with at minimum 0.3% predicted additional annual real per capita GDP growth. While a larger share of the older working-age population at ages 55-69 has historically been associated with slower real per capita GDP growth, low levels of disability in this age group can reduce or even eliminate these adverse economic effects. We consistently find a significant positive interaction between disability and the share of the population at ages 55-69, suggesting that adverse economic effects are amenable to policy intervention.

Carcass size, not source or taxon, dictates breeding performance and carcass use in a burying beetle.

Small vertebrate carcasses represent critical resources for many terrestrial organisms, including burying beetles, which rely on carcasses for survival and breeding. Carcass attributes can influence the reproduction of burying beetles, yet most studies on their breeding ecology have used laboratory-reared carcasses of limited sizes. We conducted breeding and feeding experiments using a wide size range of lab (laboratory mice) and wild carcasses (wild mammals, birds and reptiles) to investigate how carcass size, source and taxon affect various breeding outcomes (e.g. clutch size, brood size and brood mass) of the burying beetle Nicrophorus nepalensis. Our results reveal a hump-shaped relationship between carcass size and breeding performance, with optimal breeding outcomes occurring on medium-sized carcasses. Furthermore, despite the variation in carcass tissue nutritional composition, breeding outcomes and larval growth did not differ between the two carcass sources or among the three wild carcass taxa. Finally, we found a larval quality-quantity trade-off across the range of carcasses examined, with carcass size shaping the larval life-history traits. Overall, these results elucidate how carcass resources may influence the breeding performance of burying beetles. Importantly, our study provides solid evidence validating decades of research using lab carcasses to study the reproductive ecology of burying beetles.

Composition, divergence and variability: A comprehensive analysis of fish trait responses to connectivity

Connectivity, a fundamental concept in ecology, refers to the extent to which different habitats or ecosystems are interconnected through the movement of organisms, nutrients, and energy. Lateral hydrological connectivity (LHC) plays an especially critical role in shaping aquatic community organization in river-floodplain systems. However, a comprehensive understanding of various trait responses to LHC remains elusive. We characterized how attributes of fish community traits, specifically composition, divergence, and temporal variability respond to LHC in the Austrian-Hungarian floodplains of the Danube River using environmental DNA (eDNA) metabarcoding. Trait composition was quantified by community-level weighted means (CWM) as the degree of changes in trait responses along the LHC gradient from isolated oxbows to the main river. Divergence was measured using Rao’s quadratic functional diversity index and a null model approach to calculate standardized effect sizes (SES), with larger SES values indicating greater divergence and smaller values indicating convergence. Temporal variability, representing the degree of instability in community traits over time, was calculated using a functional beta diversity measure for multiple communities. Our findings revealed apparent compositional changes for many trait variables, highlighting the significance of LHC in shaping community functional diversity. Divergence patterns indicated that isolated habitats foster trait convergence presumably due to habitat filtering, whereas more connected areas promote trait divergence due to higher species richness and habitat availability. Temporal variability of traits associated with flow preference exhibited a hump-shaped relationship with LHC, suggesting intermediate connectivity zones are hotspots of ecological dynamism. The study suggests that examining composition, divergence, and temporal variability together provides a more complete understanding of trait responses to connectivity, stressing the importance of maintaining diverse connectivity levels in river-floodplain systems for effective conservation and ecosystem management.

Variation patterns in foliar δ13C and δ15N among plant life types along an altitudinal gradient on the Tibetan Plateau

Understanding how foliar δ13C and δ15N vary with the environment is crucial for elucidating the carbon and nitrogen cycle dynamics within ecosystems. Yet, there is limited knowledge about these variations among different plant life types along altitudinal gradients, particularly in subtropical forest ecosystems found in the southeastern Tibetan Plateau. Therefore, we collected leaves from 67 species, including 20 trees, 24 shrubs, and 23 herbs along an altitudinal gradient of 834 m to 3105 m in the subtropical forest of Medog, and investigated their patterns of variation along the altitudinal gradient. Our findings revealed a positive relationship between foliar δ13C and altitude, as well as a negative relationship between foliar δ13C and soil temperature. There was no significant correlation between foliar δ15N and altitude, but a hump-shaped relationship was observed between foliar δ15N and soil moisture. Among the different plant functional groups, the δ13C of shrubs is more sensitive and representative of environmental changes. In addition, we discovered no difference in the δ13C (δ15N) values of leaves among trees, shrubs, and herbs in this study. Still, there were significant differences when compared to the δ13C (δ15N) values of leaves in other typical climatic zones, indicating that climatic zones influenced the δ13C and δ15N values of leaves more than plant functional groups. In conclusion, our results provide new insights into the climatic drivers of the changes in δ13C and δ15N of the different plant life types along the altitudinal gradient in the southeastern Tibetan Plateau.

“Darling, time horizon matters”: applying the CNN-LSTM method for predicting US equity ETFs

ABSTRACT The paper uses a hybrid model of convolutional neural network and long short-term memory (CNN-LSTM) to examine the impact of the prediction (or input) window length on the prediction accuracy of trading decisions for US equity ETFs. Results demonstrate that the prediction window length plays a vital role in the prediction accuracy of the trading decision. A hump-shaped relationship is observed between prediction accuracy and prediction window length over monthly trading days.

Anti-seasonal flooding drives substantial alterations in riparian plant diversity and niche characteristics in a unique hydro-fluctuation zone.

Human-induced disturbances such as dam construction and regulation have led to widespread alterations in hydrological processes and thus substantially influence plant characteristics in the hydro-fluctuation zones (HFZs). To reveal utilization of limited resources and mechanisms of inter-specific competition and species co-existence of plant communities based on niche breadth and overlap under the different HFZs of the Three Gorges Reservoir (TGR) in China, we conducted a field investigation with 368 quadrats on the effects of hydrological alterations on plant diversity and niche characteristics. The results showed anti-seasonal flooding precipitated the gradual disappearance of the original diverse niches, resulting in the reduction of plant species richness and functional diversity and more obvious competition among plant species with similar resource requirements. Annuals, perennials and shrubs accounted for 71.23%, 27.39% and 1.37%, respectively, suggesting that annuals and flood-tolerant riparian herbs were favored under such novel flooding conditions. A consistent increase in species number, Shannon-Wiener diversity index and Simpson dominance index with altitude was inconsistent with hump-shaped diversity-disturbance relationship of the intermediate disturbance hypothesis, while the opposite trend was observed for the Pielou evenness index. This species distribution pattern might be caused by several synergetic attributes (e.g., the submergence depth, plant tolerant capacity to flooding, life form, dispersal mode and inter-specific competition). Vegetation types shifted from xerophytes to mesophytes and eventually to hygrophytes with the increasing flooding time in the HFZs. Hydrological alterations proved to be the paramount driver of vegetation distribution in the different HFZs. The niche analysis provided the first insights on the mechanisms of resource utilization and inter-specific competition, of which annuals could germinate quickly after soil drainage to achieve the greatest competitive advantages and occupy a larger niche space than other plants. Vegetation was still in the early stage of primary succession in the novel riparian forests. Therefore, vegetation restoration strategies should be biased towards herbaceous plants, due to annuals with better environmental adaptability, supplemented by shrubs and small trees. To establish a complete reference system for vegetation restoration, natural vegetation monitory plots in the different succession stages should be established in the different HFZs of the TGR, and their environmental conditions, community structures and inter-specific relationships further analyzed.

Functional Traits Affect the Contribution of Individual Species to Beta Diversity in the Tropical Karst Seasonal Rainforest of South China

In a community, due to the different characteristics of each species, their contributions to community beta diversity may vary. Quantifying the contribution of each species to overall beta diversity (SCBD) is essential for explaining the patterns of beta diversity. However, there is currently limited research linking SCBD with species functional traits, and how species functional traits influence SCBD remains unclear. This study is based on tree census data, species functional traits, and environmental variables from a 15 ha permanent monitoring plot in a tropical karst rainforest in south China. By calculating species-specific SCBD based on abundance and presence–absence data, as well as functional distinctiveness and species ecological niche characteristics (niche position and niche width), we applied structural equation modeling (SEM) to analyze how functional traits, distinctiveness, and niche characteristics jointly influence SCBD. The results revealed that SCBD based on abundance is positively correlated with occupancy and abundance, whereas SCBD based on presence–absence data exhibits a hump-shaped relationship with occupancy and abundance. Species ecological niche characteristics directly influence SCBD, with species occupying central ecological niches having a negative effect on SCBD and niche width having a positive effect. Functional traits and functional distinctiveness indirectly impact SCBD through their influence on species ecological niche characteristics. SEM models based on the presence–absence data provide higher explanatory power. In summary, in the seasonal rainforest communities of northern tropical karst regions in China, the combined effects of species’ functional traits, functional distinctiveness, and ecological niche characteristics determine SCBD. This not only contributes to a deeper understanding of how species traits influence β-diversity, making SCBD a more applicable tool for biodiversity conservation, but also allows for the development of more effective biodiversity protection strategies by elucidating the link between SCBD and ecosystem multifunctionality.

The productivity effects of labor market deregulation: evidence from German firms during 2010–2019

Abstract In the early 2000s, the German government introduced the Hartz reforms, which deregulated German labor markets. These reforms were praised internationally as striking a balance between job growth and productivity growth. While macroeconomic research has shown that the reforms have indeed lowered German unemployment, their effects on labor productivity need to be better understood. This paper addresses the impact of temporary agency work (TAW) on German labor productivity during 2010–2019, based on data from a firm-level panel of the German Institute for Employment Research (IAB). It contributes to the rising number of firm-level studies by extending their results in a broader temporal perspective, during which TAW intensities have increased substantially, especially in TAW-using firms. The system generalized method of moment (GMM) estimations based on a firm-level data set with 13,197 observations for the period 2010–2019 show that a robust hump-shaped relationship exists between the extent of TAW and the firms’ labor productivity. We find that the increase in the use of TAWs following the Hartz reforms has, on average, positively contributed to labor productivity growth in German firms. However, the findings also show that if numerical flexibility is increased too much, productivity growth in Germany will suffer. This is particularly the case for several industrial sectors that are important in the German economy. These results are important given recent calls for more labor market flexibility to help firms grow in an increasingly turbulent global economy.

Sperm competition favours intermediate sperm size in a hermaphrodite1.

Sperm competition is a potent mechanism of postcopulatory sexual selection that has been found to shape reproductive morphologies and behaviours in promiscuous animals. Especially sperm size has been argued to evolve in response to sperm competition through its effect on sperm longevity, sperm motility, the ability to displace competing sperm, and ultimately fertilization success. Additionally, sperm size has been observed to co-evolve with female reproductive morphology. Theoretical work predicts that sperm competition may select for longer sperm but may also favour shorter sperm if sperm size trades-off with number. In this study, we studied the relationship between sperm size and postmating success in the free-living flatworm, Macrostomum lignano. Specifically, we used inbred isolines of M. lignano that varied in sperm size to investigate how sperm size translated into the ability of worms to transfer and deposit sperm in a mating partner. Our results revealed a hump-shaped relationship with individuals producing sperm of intermediate size having the highest sperm competitiveness. This finding broadens our understanding of the evolution of sperm morphology by providing empirical support for stabilizing selection on sperm size under sperm competition.

The role of institutions in shaping the growth-aid relationship

Empirical evidence on the relationship between aid and economic growth is mixed and inconclusive. This paper proposes a theory to explain these contradictory findings. We build an endogenous growth model with a productive public good and homogeneous agents who allocate their time to both work and the appropriation of public resources. Aid increases public resources, raising the provision of the productive public good, but promotes rent-seeking. As recent empirical evidence suggests, a hump-shaped relationship between aid and growth emerges: too much aid is counterproductive for growth, particularly when institutions are weak. Aid transmits growth from the donor to the recipient country but harms income convergence and even prevents convergence among ex-ante identical countries when aid exceeds a certain threshold. Institutional improvements raise such a threshold. Thus, countries with lower income and lower institutional quality should receive less aid, unless an institutional reform is taken as a previous step to receive that aid.

Intermediate soil acidification induces highest nitrous oxide emissions

Global potent greenhouse gas nitrous oxide (N2O) emissions from soil are accelerating, with increases in the proportion of reactive nitrogen emitted as N2O, i.e., N2O emission factor (EF). Yet, the primary controls and underlying mechanisms of EFs remain unresolved. Based on two independent but complementary global syntheses, and three field studies determining effects of acidity on N2O EFs and soil denitrifying microorganisms, we show that soil pH predominantly controls N2O EFs and emissions by affecting the denitrifier community composition. Analysis of 5438 paired data points of N2O emission fluxes revealed a hump-shaped relationship between soil pH and EFs, with the highest EFs occurring in moderately acidic soils that favored N2O-producing over N2O-consuming microorganisms, and induced high N2O emissions. Our results illustrate that soil pH has a unimodal relationship with soil denitrifiers and EFs, and the net N2O emission depends on both the N2O/(N2O + N2) ratio and overall denitrification rate. These findings can inform strategies to predict and mitigate soil N2O emissions under future nitrogen input scenarios.

Soil water repellency along elevation gradients: The role of climate, land use and soil chemistry

The rate of water infiltration, surface runoff, and overland flow are all affected by soil water repellency (SWR), i.e., the reduced affinity for water caused by hydrophobic coatings on soil particles. SWR impacts water balance, which in turn affects ecosystem’s function and watersheds hydrology, but little is known about changes of these properties along elevation gradient. Here, we investigate variation in SWR along four elevation gradients in four Italian mountain peaks, encompassing different land use and vegetation types from Mediterranean to temperate and alpine ecosystems. A total of 240 soil samples were collected for 48 ecosystems, and SWR was determined using the molarity of an ethanol droplet test. Soil characteristics were assessed using texture, pH, organic matter content, and soil salinity. Climate data were obtained using WorldClim, and their relationship with SWR was examined. SWR showed a unimodal pattern along the four elevation levels and in all cases peaked at mid-elevations between 1000 and 2500 m a.s.l.. SWR was highest under coniferous and deciduous forests and lowest for arable and bare soil. Soil organic matter and pH were the main determinants of SWR, with a positive and negative correlation, respectively. As for climate, mean annual temperature showed a hump-shaped relationship with SWR. In detail, we found that soil was hydrophilic at the extremes of elevation gradient where mean annual temperatures are less than −3.4 °C for alpine bare soils and higher than 12.7 °C for arable soils. This study allowed us to show how land use, soil chemistry, and climate are related to SWR along an elevation gradient. Further research is needed to concretely evaluate the effect of SWR on erosion risk at the watershed scale in the context of climate change.

Spatio-temporal interaction and constraint effects between ecosystem services and human activity intensity in Shaanxi Province,China

Identifying spatial heterogeneity in ecosystem services and understanding the spatial and temporal correlations between ecosystem service exploration and human activity intensity are vital for achieving regional harmony between human activities and the environment, ultimately fostering sustainable development. Previous studies primarily concentrated on the impact of human activities on ecosystem services while overlooking the intricate spatiotemporal dynamics and nonlinear relationships. In this study, which leveraged multi-source data, we found increasing trends in Human Footprint Index (HFI), most pronounced in the central region of Shaanxi Province. From 2000 to 2020, Shaanxi Province consistently exhibited an ecosystem service distribution pattern characterized by a 'high in the central-south and low in the northwest' trend. Habitat Quality (HQ) consistently maintained high values, signifying favorable habitat conditions, while Food Production (FP) remained relatively stable. Carbon Sequestration (CS) and Soil Conservation (SC) displayed diverse temporal patterns, whereas Water Yield (WY) showed noticeable fluctuations.This analysis revealed a negative correlation between HFI indicators and Total Ecosystem Services (TES). Constraint lines delineated hump-shaped relationships between TES and human activity intensity across various geomorphic areas. Notably, the differences between regions were significant, and threshold dynamics were identified. HFI negatively correlated with TES, moderate HFI growth improved services, yet exceeding ecological thresholds caused decline. Overall,this study informs necessary ecosystem management in Shaanxi, highlighting the need for balanced policies and predictive models that ensure sustainable development without crossing critical ecological thresholds. Future work should concentrate on developing predictive models that incorporate environmental, technological, and socio-economic variables, to better anticipate and mitigate the ecological impacts of human activities.

Spatiotemporal assembly and functional composition of planktonic microeukaryotic communities along productivity gradients in a subtropical lake.

Microeukaryotes play crucial roles in the microbial loop of freshwater ecosystems, functioning both as primary producers and bacterivorous consumers. However, understanding the assembly of microeukaryotic communities and their functional composition in freshwater lake ecosystems across diverse environmental gradients remains limited. Here, we utilized amplicon sequencing of 18S rRNA gene and multivariate statistical analyses to examine the spatiotemporal and biogeographical patterns of microeukaryotes in water columns (at depths of 0.5, 5, and 10 m) within a subtropical lake in eastern China, covering a 40 km distance during spring and autumn of 2022. Our results revealed that complex and diverse microeukaryotic communities were dominated by Chlorophyta (mainly Chlorophyceae), Fungi, Alveolata, Stramenopiles, and Cryptophyta lineages. Species richness was higher in autumn than in spring, forming significant hump-shaped relationships with chlorophyll a concentration (Chl-a, an indicator of phytoplankton biomass). Microeukaryotic communities exhibited significant seasonality and distance-decay patterns. By contrast, the effect of vertical depth was negligible. Stochastic processes mainly influenced the assembly of microeukaryotic communities, explaining 63, 67, and 55% of community variation for spring, autumn, and both seasons combined, respectively. Trait-based functional analysis revealed the prevalence of heterotrophic and phototrophic microeukaryotic plankton with a trade-off along N:P ratio, Chl-a, and dissolved oxygen (DO) gradients. Similarly, the mixotrophic proportions were significantly and positively correlated with Chl-a and DO concentrations. Overall, our findings may provide useful insights into the assembly patterns of microeukaryotes in lake ecosystem and how their functions respond to environmental changes.

Predator-induced prey dispersal can cause hump-shaped density-area relationships in prey populations.

Predation can both reduce prey abundance directly (through density-dependent effects) and indirectly through prey trait-mediated effects. Over the years, many studies have focused on describing the density-area relationship (DAR). However, the mechanisms responsible for the DAR are not well understood. Loss and fragmentation of habitats, owing to human activities, creates landscape-level spatial heterogeneity wherein patches of varying size, isolation and quality are separated by a human-modified "matrix" of varying degrees of hostility and has been a primary driver of species extinctions and declining biodiversity. How matrix hostility in combination with trait-mediated effects influence DAR, minimum patch size, and species coexistence remains an open question. In this paper, we employ a theoretical spatially explicit predator-prey population model built upon the reaction-diffusion framework to explore effects of predator-induced emigration (trait-mediated emigration) and matrix hostility on DAR, minimum patch size, and species coexistence. Our results show that when trait-mediated response strength is sufficiently strong, ranges of patch size emerge where a nonlinear hump-shaped prey DAR is predicted and other ranges where coexistence is not possible. In a conservation perspective, DAR is crucial not only in deciding whether we should have one large habitat patch or several-small (SLOSS), but for understanding the minimum patch size that can support a viable population. Our study lends more credence to the possibility that predators can alter prey DAR through predator-induced prey dispersal.

Morphological Strategies in Ant Communities along Elevational Gradients in Three Mountain Ranges

Species traits often vary in a coordinated manner, making up an ecological strategy comprised of suites of interrelated traits. Environmental gradients, such as those along elevational gradients, provide an ideal venue in which to examine variation in ecological strategies with the environment. We examined variation in the morphological strategies of ants along elevational gradients on thirteen mountains across three mountain ranges in central and south-eastern Australia. We pitfall-trapped ants, counted and identified workers and measured morphological traits. Most species showed a hump-shaped relationship between occurrence and elevation, and several responded to microhabitat variables. Morphological traits varied along two key axes: “gracility”, where high values indicated longer-legged species with dorsally positioned eyes and smooth, bare cuticles; and “size and darkness”, where species with high values were larger and darker. Analysis of assemblage-weighted means revealed that gracility decreased with temperature and increased with precipitation, suggesting links with desiccation tolerance. Size and darkness increased with UV-B, declined with increasing canopy cover and peaked at mid-temperatures. We thus detected strong shifts in dominant morphological strategies along our elevational gradients. However, the multifunctionality and interrelatedness of traits and the covariance of climatic factors may make isolation of the function of individual traits difficult. Further, the predictive power of our models may be limited in the context of novel environments predicted under global change.