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bioRxiv2024

Spatial Heterogeneity of Climate Fluctuations Shapes Ecological Processes and Community Dynamics in Riverine Invertebrates Across a Landscape

The environment and its variability exhibit spatial heterogeneity in influencing ecological processes and community dynamics across landscapes. However, the mechanisms remain unexplored. This study investigates relative significance of temporal ecological processes that shape invertebrate community dynamics across 15 rivers in the European Iberian Peninsula over 21 years. Spatial asymmetry in community dynamics was driven by a combination of temporal deterministic and stochastic processes (i.e., environmental filtering and temporal distance within the same locations, respectively). It is noteworthy that the relative importance of deterministic versus stochastic processes diminishes with increasing elevation. The analysis of community dynamics in diverse landscapes offers a foundation for anticipating and mitigating the consequences of prospective environmental transformation on biodiversity, thereby directing efficacious conservation strategies.

ecology↗
bioRxiv2024

Evaluation of Potentially Toxic Elements in Soil and Potential Ecological Risks Generated by Environmental Liabilities in Tacna, Peru

Environmental liabilities continue to pose an unresolved concern for administrators due to their high potential for ecosystem contamination. This research focuses on assessing the content of potentially toxic elements, the degree of contamination, and potential ecological risks in abandoned mining areas that formerly exploited sulfur and copper. The results showed elevated concentrations of Arsenic (1,102 mg/Kg), Cadmium (271 mg/Kg), Lead (15,961 mg/Kg). The presence of flora, fauna activity, rivers, and rural communities near the mining sites was observed, indicating significant environmental risks. The evaluated mining environmental liabilities (MELs) lack direct responsible parties, thus requiring the Peruvian government to assume remediation responsibilities. To date, no mitigation actions have been taken, primarily due to the absence of a situational diagnosis. Concerning contamination indices, such as the Geoaccumulation Index, Contamination Degree, Pollution Load Index, Contamination Load Coefficient, and Potential Ecological Risk Index, all areas exhibited some form of contamination, indicating high environmental risks. A preliminary risk assessment associated with the presence of mining environmental liabilities has been conducted, marking this research as the first of its kind in the southern region of Peru. This assessment provides administrators with crucial information to establish priorities for implementing remediation plans aimed at reducing pollutant loads. The findings underscore the urgent need for comprehensive contamination assessments and the development of effective management practices, including the implementation of a monitoring program to safeguard soils affected by mining activities. Additionally, it is essential to design various technological strategies to restore degraded ecosystems, thereby protecting rivers, agricultural zones, and nearby rural communities.

ecology↗
bioRxiv2024

Ecological dynamics explain modular denitrification in the ocean

Microorganisms in marine oxygen minimum zones (OMZs) drive globally impactful biogeochemical processes. One such process is the multi-step denitrification, the dominant pathway for bioavailable nitrogen (N) loss and nitrous oxide (N2O) production. Denitrification-derived N loss is typically measured and modeled as a single step, but observations reveal that most denitrifiers in OMZs contain only subsets ("modules") of the complete pathway. Here, we identify the ecological mechanisms sustaining diverse denitrifiers, explain the observed prevalence of certain modules, and examine the implications for N loss. We describe microbial functional types carrying out diverse denitrification modules by their underlying redox chemistry, constraining their traits with thermodynamics and pathway length penalties, in an idealized OMZ ecosystem model. Biomass yields of single-step modules increase along the denitrification pathway when growth is limited by organic matter (OM), explaining the viability of populations respiring nitrite and N2O in a nitrate-filled ocean. Results predict denitrifier community succession along environmental gradients: shorter versus longer modules are favored when OM versus N limits growth, respectively, suggesting a niche for the NO3-{longrightarrow}NO2- module in free-living communities and for the complete pathway in organic particles, consistent with observations. The model captures and mechanistically explains the observed dominance and higher oxygen tolerance of the NO3-{longrightarrow}NO2- module. Results also capture observations that nitrate is the dominant source of N2O. These results advance the mechanistic understanding of the relationship between microbial ecology and N loss, which is essential for accurately predicting the oceans future.

ecology↗
bioRxiv2024

A long-term ecological research data set from the marine genetic monitoring programme ARMS-MBON 2018-2020

Molecular methods such as DNA/eDNA metabarcoding have emerged as useful tools to document biodiversity of complex communities over large spatio-temporal scales. We established an international Marine Biodiversity Observation Network (ARMS-MBON) combining standardised sampling using autonomous reef monitoring structures (ARMS) with metabarcoding for genetic monitoring of marine hard-bottom benthic communities. Here, we present the data of our first sampling campaign comprising 56 ARMS units deployed in 2018-2019 and retrieved in 2018-2020 across 15 observatories along the coasts of Europe and adjacent regions. We describe the open-access data set (image, genetic, and metadata) and explore the genetic data to show its potential for marine biodiversity monitoring and ecological research. Our analysis shows that ARMS recovered more than 60 eukaryotic phyla capturing diversity of up to [~]5,500 amplicon sequence variants and [~]1,800 operational taxonomic units, and up to [~]250 and [~]50 species per observatory using the cytochrome c oxidase subunit I (COI) and 18S rRNA marker genes, respectively. Further, ARMS detected threatened, vulnerable and non-indigenous species often targeted in biological monitoring. We show that while deployment duration does not drive diversity estimates, sampling effort and sequencing depth across observatories do. We recommend that ARMS should be deployed for at least three to six months during the main growth season to use resources as efficiently as possible and that post-sequencing curation is applied to enable statistical comparison of spatio-temporal entities. We suggest that ARMS should be used in biological monitoring programmes and long-term ecological research and encourage the adoption of our ARMS-MBON protocols.

ecology↗
bioRxiv2024

Causal discovery from ecological time-series with one timestamp and multiple observations

Ecologists often aim to uncover causal relations within ecological systems using observational data. However, many studies still rely mainly on correlation-based approaches, which do not support causal interpretation. Causal discovery methods have recently gained interest, particularly for ecological time-series data. Yet such data are often scarce, as collecting repeated and consistent measurements over long periods is costly, require strict continuation of protocols and is time-consuming. Consequently, ecologists have often access only to single-time-point observational data generated by dynamical systems. In this setting, unobserved past states can induce substantial unmeasured confounding, limiting the ability of standard algorithms such as PC and FCI to recover micro-level causal relations between observed variables. We show that PC and FCI can nevertheless recover meaningful causal information. In particular, they can identify specific cluster-level structures, which we call clustered super-unshielded colliders, which provide information about the partial causal ordering of macro-level variables. We further show that both algorithms can be reduced to a simple procedure, which we call RestPC, that yields the same identifiable information. We illustrate our results using simulated data and two real-world datasets: one on bird abundance, climate, and land cover, and another on soil microbial communities, environmental, terrain, and geochemical variables.

ecology↗
bioRxiv2024

The ecological and economic benefits of sustainable agricultural practices: Evidence from on-farm trials in broad-acre grain crops

O_LISustainable agricultural practices are essential for mitigating the negative environmental impacts of conventional agriculture while ensuring food security. However, widespread adoption of these practices requires robust evidence of their efficacy and economic viability. C_LIO_LIWe co-designed a two-year field trial with farmers and agronomy advisors in Australia, to evaluate the ecological and economic benefits of sustainable agricultural practices for managing the redlegged earth mite, a major pest of Australian grain crops. We compared Novel treatments representing long-term farmer-implemented sustainable agricultural practices based on biological control with Conventional treatments and Plus treatments designed as counterfactuals to disentangle the effects of specific pest control and plant nutrient components. C_LIO_LIRedlegged earth mite densities remained below economic thresholds across all treatments and years, demonstrating effective pest control in both conventional and sustainable systems. Notably, the Novel treatment supported higher densities of beneficial arthropods, indicating increased biological control potential. C_LIO_LIYield and gross profit margins were generally similar between the treatments, indicating that sustainable agriculture practices can maintain profitability while fostering biodiversity. Practical implication. Our study provides evidence that biological control and biofertiliser supplementation can be effectively used to manage agricultural pests and demonstrates the value of close collaboration with farmers and agronomy advisors to conduct ecological field research that has practical applications. C_LI

ecology↗
bioRxiv2024

Random subsamples of animal populations can reveal intrinsic differences in sociality with key implications in ecology, conservation and disease transmission

Animal populations are under mounting stress from the dual threats of climate change and rapid global human population growth, raising significant concerns about declining wildlife and the rising risk of zoonotic diseases. In many species, social interactions can be a highly plastic suite of behaviours that are responsive to these disturbances and are consequential to other processes like disease transmission and population dynamics. Studying social interactions can be challenging in that researchers often rely on wildlife population subsamples due to practical constraints and costs, which can introduce biases in the reliability of social network metrics. We investigated the extent to which subsamples can depict intrinsic characteristics of wildlife populations using data from three distinct species: peri-urban fallow deer, Alpine ibex and Angolan giraffe. We showed that random subsamples of these populations could still reveal differences in their social behaviour, indicating that, as long as researchers have a reliable estimate of population size, subsampling animal populations can be an effective and precise method to infer their sociality and offer valuable empirical data for management, conservation and zoonotic disease ecology. Furthermore, we demonstrate that non-random sampling, influenced for instance by animal personality and related trappability, can introduce significant biases in social network estimates. These findings underscore the importance of accounting for sampling biases in social network analysis and offer a robust framework for using partial networks in ecological studies and conservation management.

ecology↗
bioRxiv2024

Population regulation in semelparous deep-sea squid is driven by ecological conditions in surface waters and whale predation at depth

Predator-prey interactions present a powerful framework for understanding population regulation in natural systems, including the vast and understudied pelagic deep sea. Oceanic squid are among the most abundant and important species groups in this habitat and function as primary prey for the largest marine top predators, deep-diving cetaceans. At the same time, these cryptic animals are highly data deficient. Insight into the dynamics of deep-sea squid populations and the impacts of predation by top-predators is crucial for designing conservation strategies and developing a general theory of deep-sea ecology. Here, we offer fundamental new insights into how individual life history and predation interact to shape population regulation in deep-sea squid. Using empirical data, we develop a size-structured population model for a highly abundant histioteuthid deep-sea squid. We show that population regulation is driven primarily by conditions experienced as paralarvae in the upper water column, where they face intense resource competition. Relaxation of this competition following ontogenetic migration as juveniles drives exponential-like growth curves. Population dynamics exhibit single-cohort cycles, producing regular seasonal patterns in reproduction, even in the absence of any environmental seasonality. Furthermore, we demonstrate that predation by deep-diving cetaceans at different depths can lead to emergent facilitation between top predators. This reveals the complex interdependencies in trophic networks connecting the deep sea with surface waters. Our findings provide critical insights into the ecological functioning of the pelagic deep-sea and their link with surface waters. These insights are urgently needed to better understand and conserve this vast, data-deficient habitat, which endangered deep-diving predators depend on but is under major stress from anthropogenic activities.

ecology↗
bioRxiv2024

Known unknowns and model selection in ecological evidence synthesis

Quantitative evidence synthesis is a prominent path towards generality in ecology. Generality is typically discussed in terms of central tendencies, such as an average effect across a compilation of studies, and the role of heterogeneity for assessing generality is not as well developed. Heterogeneity examines the transferability of ecological effects across contexts, though between-study variance is typically assumed as constant (i.e., homoscedastic). Here, I use two case studies to show how relaxing the assumption of homoscedasticity and cross validation can combine to further the goals of evidence syntheses. First, I examine scale-dependent heterogeneity for a meta-analysis of plant native-exotic species richness relationships, quantifying the relationships among unexplained effect size variation, spatial grain and extent. Second, I examine relationships among patch size, study-level covariates and unexplained variation in species richness using a database of fragmentation studies. Heteroscedastic models quantify where effects can be transferred with more or less certainty, and provide new descriptions of transferability for both case studies. Cross validation can be applied to a single or multiple models, adapted to either the goal of intervention or generalization, and showed that assuming homoscedasticity can limit transferability for both case studies.

ecology↗
bioRxiv2025

Assessing the oviposition and larval ecologies of mosquitoes and Stegomyia indices along an urban-rural gradient during ongoing dengue outbreaks in the arboviral hotspots of Cocody-Bingerville, southeastern Cote d'Ivoire

BackgroundCote dIvoire (West Africa) has recurrently faced multiple outbreaks of Aedes mosquito-transmitted arboviral diseases (e.g., dengue (DEN) and yellow fever (YF)), mainly in the health district of Cocody-Bingerville subjected to rapid urbanization. Thus, this study assessed the ecology of mosquito immatures and Stegomyia indices along an urban-rural gradient during ongoing dengue outbreaks within arboviral hotspots in Cocody-Bingerville. MethodsBetween August 2023 and July 2024, we collected mosquito eggs and larvae in urban, suburban and rural areas of Cocody-Bingerville using standard ovitraps and larval surveys. Collections were done in the domestic and peridomestic ecozones, and during rainy and dry seasons. Species composition, oviposition indices (ovitrap positive index (OPI), mean egg counts per ovitrap (MEO) and egg density index (EDI)) and Stegomyia indices (house index (HI), container index (CI) and Breteau index (BI)) were compared across the study areas, ecozones and seasons, and with the World Health Organization (WHO) DEN and YF epidemic thresholds. ResultsOverall, all the study areas were highly infested with diversified mosquito species, with the highest Stegomyia risk indices recorded in the urban areas. We identified (individuals: species) in the all study (70,550: 15), urban (32,331: 10), suburban (19,768: 14) and rural (18,451: 15) areas. Mosquitoes were mostly abundant in the domestic ecozones and rainy seasons. Larvae bred mainly in tires in the urban and suburban, and small containers in the rural areas. Wild Aedes species (Aedes dendrophilus, Aedes lilii, Aedes fraseri, Aedes luteocephalus, Aedes metallicus and Aedes vittatus) were mostly restricted in the suburban and rural areas, as well as mosquito predatory larvae (Lutzia tigripes, Toxorhynchites and Eretmapodites). However, Aedes aegypti spread and dominated throughout, showing highest proportions in the urban (90.2%), followed by the suburban (68.6%) and rural (68.5%) areas. OPI, MEO (egg/ovitrap/week) and EDI (egg/ovitrap/week) values were higher in the urban areas (53.0%, 8.7 and 16.4) than in the suburban (43.1%, 5.56 and 12.9) and rural (33.7%, 4.4 and 13.0) areas, respectively, and correlated with Stegomyia indices. HI, CI and BI were higher in the urban (48.0%, 40.4% and 61.8) compared with the suburban (37.8%, 32.0% and 43.3) and rural (34.5%, 28.87% and 39.8) areas. Stegomyia indices corresponded to the WHO-density scales of 6-8 in the urban and 5-7 in the suburban and rural areas. Stegomyia indices were all above the WHO epidemic thresholds: YF risk was high the urban and moderate in the suburban and rural areas, while people were permanently exposed to high risk of DEN outbreaks in all the areas. Conclusions/significanceIn Cocody-Bingerville, urbanization shifts mosquito biodiversity, with restriction of wild Aedes and predatory species in the rural and suburban areas and dominance of Ae. aegypti in the urban areas. Stegomyia indices exceeded the WHO DEN and YF epidemic thresholds in all the areas, with highest risks in the urban areas. This could explain the current DEN outbreaks in urban Cocody-Bingerville. Our study provides a baseline for raising local community awareness and guiding appropriate preventive actions, including managing identified larval habitats to contain ongoing dengue outbreaks in Cote dIvoire. Author summaryCote dIvoire has experienced several epidemics of dengue and yellow fever transmitted by Aedes mosquitoes. Over 80-90% of dengue and yellow fever cases were reported in the urban areas of the health district of Cocody-Bingerville, southeastern Cote dIvoire. The increase in the frequency, magnitude and burden of these outbreaks has paralleled to the fast and uncontrolled urbanization. However, data are still lacking on how urbanization influences the ecology of the local mosquito vectors and the risks of transmission of dengue and yellow fever, thus compromising adequate planning of preventive actions. Therefore, we assessed the mosquito species composition and larval breeding sites, and Stegomyia indices in urban, suburban and rural areas within the disease hotspots during ongoing dengue outbreaks in the Cocody-Bingerville. Our results showed that mosquito species diversity altered considerably from urban to rural areas, leading to a dominance of the main vector Aedes aegypti in all the study areas. Moreover, Aedes aegypti showed the highest proportions in the urban areas that contained more larval breeding sites (e.g., tires and small containers). Stegomyia indices were very high and above the World Health Organization (WHO) epidemic thresholds, suggesting that people were exposed to high dengue risks and moderate yellow fever risks in all the study areas, but were more exposed to both diseases in the urban areas. This could explain the recurrent and present dengue outbreaks in urban Cocody-Bingerville. A community-based management of identified larval habitats might help to control the ongoing dengue outbreaks in Cocody-Bingerville, and more widely in similar settings.

ecology↗
bioRxiv2025

Freshwater fish community assessment using eDNA metabarcoding vs. capture-based methods: differences in efficiency and resolution coupled to habitat and ecology

Environmental DNA (eDNA) metabarcoding has revolutionized ecological and environmental research by describing communities without relying on direct observations, making it a powerful, non-invasive, and cost-effective tool in biodiversity monitoring. However, implementation of eDNA as a standard protocol in long-term monitoring programs, that have traditionally relied on capture-based methods, poses challenges in terms of data comparability. Here, we compared freshwater fish communities assessed through eDNA metabarcoding and electrofishing, across 35 sampling sites in the lower Tagus River basin, Portugal. For most species or species-groups analyzed individually (13 out of 17), there was a significant correspondence between electrofishing and eDNA metabarcoding detections. The correspondence was weaker when comparing the number of specimens captured by electrofishing with the number of eDNA metabarcoding reads, with seven out of 13 taxa showing significant relationships. Species richness estimates based on the two methods were very similar at the basin level. The methods yielded significantly different species compositions, although these differences were driven by samples collected in the Tagus main channel, which is wider and has higher flow rates than tributaries. Benthic and shoreline fish communities showed similar species composition in the two methods, but this was not the case for pelagic communities, probably due to the higher water turnover of the pelagic zone and electrofishing inefficiency. Our results highlight the high potential of eDNA metabarcoding as a complementary method to electrofishing for freshwater fish monitoring, though further validation is needed to assess biases related to site-specific hydrological conditions and the ecology of the target species.

ecology↗
bioRxiv2025

Testing for changes in population trends from low-cost ecological count data

O_LIAccurate and up-to-date knowledge of population trends is essential for effective biodiversity conservation, as is assessing the impact of conservation measures designed to alter these trends. Estimating population trends is challenging, however, either due to altogether insufficient data or due to so-called noisy data that do not readily allow for standard statistical analyses. In addition, many existing methods require monitoring data over long periods of time, which is in contrast to the quick interventions needed by conservation projects, especially when endangered species are involved. C_LIO_LITo address these issues, we here present birp, a novel Bayesian tool that maximizes the power to test for population trends and changes in trends under arbitrary designs, including the canonical before-after (BA), control-intervention (CI) and before-after-control-intervention (BACI) designs often used to assess conservation impact. Our model builds on classic Poisson and negative binomial models for ecological count data and infers changes in population trends jointly from data obtained with multiple survey methods such as track counts, camera trap surveys, or distance sampling, and also from limited and noisy data not necessarily collected in standardized ecological surveys. By focusing on the change itself, our method side-steps common challenges of estimating population trends and does not need to know about absolute population densities or detection probabilities. birp is open-source and available as both a standalone command line tool as well as an R-package for fast and easy use. C_LIO_LIWe illustrate the power of our tool through extensive simulations and show that changes in trends are accurately estimated under various designs, even when data are noisy and sparse, and thereby enables biodiversity research also in regions that are remote and difficult to access. C_LIO_LIUsing birp, we further test for changes in population trends of Tasmanian devils in Australia and of apex predators and their main prey in the Central African Republic. Based on these results we give general guidelines on survey designs that maximize the power to detect trends. C_LI

ecology↗
bioRxiv2025

Built-environment professionals welcome prescriptive ecology evidence to enhance communication with stakeholders for biodiversity-inclusive cities: Insights from professionals in both the Global North and South

Cities play a crucial role in addressing the biodiversity crisis. Despite advancements in urban ecology, effectively integrating biodiversity into urban planning remains limited. Built-environment professionals (BEPs), who are responsible for local actions, often face criticism for their unwillingness to prioritize biodiversity and are seldom studied from their perspectives, especially those from the Global South. Therefore, understanding the viewpoints of diverse BEPs from both the Global South and North on biodiversity-inclusive urban planning and design (BIPD) is crucial. This study employs Q-Methodology to analyze BEPs perspectives in Ethiopia, China, Spain, and the United States, revealing four viewpoints: Pluralist, Enthusiast, Pragmatist, and Contextualist. Challenges in realizing BIPD include widespread unawareness among BEPs of existing biodiversity data and methodologies, structural-physical barriers such as land use conflicts and competing resources, and misaligned values with stakeholders. Our research challenges the notion that BEPs resist incorporating biodiversity into their practices by broadly exploring their viewpoints. BEPs exhibit readiness to transcend legislative structural barriers and leverage professional norms to advocate for urban biodiversity, particularly when equipped with evidence-based tools. Pluralists and Enthusiasts demonstrate heightened interest in multidisciplinary collaboration and prescriptive, visual tools to communicate biodiversitys value to stakeholders. Critically, BEPs capacity to act hinges on the availability of contextually sensitive methods, necessitating empowerment through transdisciplinary collaborations to foster transformative changes in cities, especially in the Global South, where complex socioeconomic-ecological trade-offs demand co-produced solutions.

ecology↗
bioRxiv2025

Shifting ecological niches of Prunus species under climate change

Climate change is strongly impacting agriculture, reducing crop production and shifting the geographic distribution of suitable areas for crop cultivation. To safeguard future global yield and feed a growing world population, the migration of crop production areas to new suitable sites represents a way to adapt to a changing climate. Here, we aim to identify the ecological niche of Prunus species, namely peach, plum, almond, apricot and sweet cherry, and examine their expected future shifts under climate change. For each Prunus species, we selected from the literature processed-based phenological models for dormancy break, blooming and fruit ripening, whose fulfillment determines whether an area is suitable for crop cultivation. Historically, the ecological niche of Prunus species spans mid-low European latitudes, while higher latitudes fail satisfying the forcing requirements for blooming and fruit ripening. In future, this constraint is expected to become less restrictive with a northwards expansion of the suitable areas. However, this will be contrasted by a contraction of the niche at low latitudes due to dormancy break failures. While bridging established mechanistic knowledge on the climatic effects of plant phenological traits with citizen science observations, our work brings new insights into how fruit crops will respond to global warming.

ecology↗
bioRxiv2025

Hydrodynamic Circulation, Ecological Drift, and Homogeneous Selection Shape Microbial Communities and Biogeochemical Cycling in Lake Ontario

The Laurentian Great Lakes hold 21% of the worlds surface freshwater and supply drinking water to nearly 40 million people. We provide the first evidence that wind-driven upwelling restructures microbial communities in Lake Ontario, with its effects sustained and redistributed by an internal Kelvin wave propagating along the shoreline. We combine 16S rRNA metabarcoding, absolute abundance quantification via flow cytometry, and hydrodynamic profiling to link physical processes to community composition. While thermal stratification organizes microbial communities by depth and season, this vertical structure arises from contrasting mechanisms: homogenizing selection in surface waters and dispersal limitation and drift in the hypolimnion. Kelvin wave-driven upwelling disrupts this scaffold, displacing rare taxa into the surface and creating novel coastal communities predicted to be enriched in methane oxidation and sulfur metabolism genes--functional traits absent elsewhere in the lake. We observed a Kelvin wave lasting over two weeks and propagating eastward at [~]60 km day-{superscript 1}. Given the [~]10-12 day recurrence of wind events during the stratified season, at any time at least one segment of Lake Ontarios coastline is experiencing upwelling. These recurrent upwellings, sustained and redistributed by Kelvin waves, remodel microbial communities on ecologically relevant timescales. They act as a biological disturbance overriding stratification, mobilizing rare functional potential, and assembling novel coastal microbial communities. As climate change lengthens and intensifies stratified periods and reshapes large-lake circulation, understanding how physical forcing governs microbial assembly is essential for forecasting the biogeochemical future of Earths great lakes--especially in shoreline zones where ecological shifts directly affect human communities.

ecology↗
bioRxiv2025

Effects of tree plantations on population and roosting ecology of an endemic agamid lizard in Western Ghats Biodiversity Hotspot

Low-elevation wet tropical forests support herpetofaunal diversity but are increasingly replaced by monoculture tree plantations and have poor Protected Area coverage, leaving herpetofauna vulnerable. Research on how monoculture plantations affect reptile populations remains inconclusive, and the ecology of endemic species in these changing landscapes is poorly understood. We compared densities and roosting ecology of Monilesaurus rouxii, an endemic agamid lizard, across low- and high-elevation forests and cashew and rubber plantations in the Western Ghats Biodiversity Hotspot using nocturnal transects. We found that low-elevation forests, despite poor Protected Area coverage, had significantly higher densities of Monilesaurus rouxii than high-elevation forests and cashew plantations. Roost site use did not differ significantly across the different land-use, indicating roost fidelity. However, Monilesaurus rouxii exhibited ontogenetic shifts in roosting substrate and height. Our findings highlight the conservation importance of unprotected low-elevation forests, which are rapidly being converted to monoculture tree plantations. We show that plantation types may differ in their impacts on reptile populations. We also show the utility of nocturnal transects for population estimation of diurnal lizards.

ecology↗
bioRxiv2025

MoveTraits - A database for integrating animal behaviour into trait-based ecology

Trait-based approaches are key to understanding eco-evolutionary processes but rarely account for animal behaviour despite its central role in ecosystem dynamics. We propose integrating behaviour into trait-based ecology through movement traits - standardised and comparable measures of animal movement derived from biologging data, such as daily displacements or range sizes. Accounting for animal behaviour will advance trait-based research on species interactions, community structure, and ecosystem functioning. Importantly, movement traits allow for quantification of behavioural reaction norms, offering insights into species acclimation and adaptive capacity to environmental change. We outline a vision for a living global movement trait database that enhances trait data curation by (1) continuously growing alongside shared biologging data, (2) calculating traits directly from individual-level data using standardised, consistent methodology, and (3) providing information on multi-level (species, individual, within-individual) trait variation. We present a proof-of-concept MoveTraits database with 55 mammal and 108 bird species, demonstrating calculation workflows for 5 traits across multiple time scales. Movement traits have significant potential to improve trait-based global change predictions and contribute to global biodiversity assessments as Essential Biodiversity Variables. By making animal movement data more accessible and interpretable, this database could bridge the gap between movement ecology and biodiversity policy, facilitating evidence-based conservation.

ecology↗
bioRxiv2025

Ecological indicators predict functional diversity dynamics following glacier retreat

The retreat of glaciers due to climate change is reshaping mountain landscapes and biodiversity. While previous research has documented vegetation succession after glacier retreat, our understanding of functional diversity dynamics is still limited. In this case study, we address the effects of glacier retreat on plant functional diversity by integrating plant traits with ecological indicator values across a 140-year chronosequence in a subalpine glacier landscape. We reveal that functional richness and functional dispersion decrease with glacier retreat, while functional evenness and functional divergence increase, suggesting a shift towards more specialized and competitive communities. Our findings highlight the critical role of ecological factors related to soil moisture, soil nutrients, and light availability in shaping plant community dynamics. The integrative approach of this case study provides novel insights into the potential response of alpine plant communities to climate change, offering a deeper understanding of how to predict and anticipate the effects of glacier extinction on biodiversity in rapidly changing environments.

ecology↗