Biology subjects

Gascoigne, S.

Publications and source records attributed to Gascoigne, S..

10 recordsLinked to original sources

bioRxiv2025

Support for the social buffering hypothesis, especially under unpredictable precipitation regimes

Sociality is hypothesised to buffer populations against environmental stochasticity by stabilising key vital rates, yet this has rarely been tested across diverse taxa. We compiled demographic time series from 87 populations for 66 animal species spanning 12 taxonomic classes to test whether sociality promotes demographic buffering and whether this relationship depends on environmental context. Using stochastic elasticities and phylogenetically comparative analyses, we find broad support for the social buffering hypothesis: more social species exhibit lower sensitivity of population growth to vital rate variance (lower stochastic elasticity to vital rate variances, |T{sigma}|), particularly in juvenile survival and reproduction. Contrary to expectations, juvenile vital rates, but not adult survival, showed the strongest buffering patterns in social taxa, suggesting life-stage-specific social mechanisms. Furthermore, we show that social species invest more in maximising the average performance of adult survival and reproduction (higher stochastic elasticity to vital rate means, T), consistent with adaptive strategies favouring canalisation of fitness-related traits. This buffering benefit is especially relevant in highly unpredictable environments: in climates with erratic precipitation, social species have greater demographic advantages, exhibiting even lower T{sigma} values. Together, these findings provide support for the social buffering hypothesis, especially in highly stochastic environments. Social traits confer some demographic stability under moderate climatic conditions, but may become more relevant under extreme stochasticity--an insight particularly important for understanding population resilience in a rapidly changing world.

animal behavior and cognition↗

bioRxiv2025

Second-order elasticities for Ecology and Evolution: Unravelling nonlinear fitness responses to perturbations

In ecology and evolutionary biology, understanding the relationship between vital rates (e.g., survival, development, reproduction) and population growth is essential to elucidate how life history strategies are shaped by natural selection. However, the established demographic methods to decipher the relationship between vital rates and population growth often analyse only the linear changes in population fitness as a result of changes in vital rates, thus simplifying the complexities of said relationships. To overcome the widespread linearity simplification, here we introduce the second-order elasticities of mean population fitness, the S-elasticity. The S-elasticity quantifies how changes in one or more vital rates can produce a second-order change in mean fitness. We provide a systematic mathematical framework behind the S-elasticity, revealing its ability to identify the convex and concave responses of mean fitness to perturbations of vital rates. Through structured population models, we demonstrate the distinct roles of linear and nonlinear mean fitness responses, and their combination, enabling to characterise local concavity/convexity of the mean population fitness function. We illustrate the application and the differences of S-elasticities and their biological meanings using matrix population models of the armadillo (Dasupys novemcinctus) and Pynes plum (Astragallus bibullatus). These two case studies showcase how the S-elasticity provides key insights into mean fitness responses to perturbations on demographic process and their correlations. We discuss the improvements that the S-elasticity provides for species management and our understanding of how natural populations cope with environmental change.

ecology↗

bioRxiv2025

Modelling forest dynamics using integral projection models (IPMs) and repeat LiDAR

O_LIEstimating the life histories and population dynamics of trees is important for predicting how forests respond to climate change and disturbances. To do so, ecologist often use stage-structured population models, which explicitly account for individual heterogeneity. However, the data needed to parameterise these models is typically constrained by time- and labour-intensive field methods. C_LIO_LIDespite growing access to remote sensing imagery that could potentially satiate these data-hungry population models, these data remain underutilised in population ecology. Here, we demonstrate a pipeline that integrates repeat-LiDAR data with a type of structured demographic model (Integral Projection Model, IPM) to examine forest-wide dynamics in response to environmental drivers. Using Australias Great Western Woodlands as a case study, we model the survival and growth of [~]40,000 eucalypt trees over a decade to estimate their life expectancy and characterise multiple stages of growth (height growth and crown expansion). C_LIO_LIOur results indicate distinct responses of small trees (where vital rates are predicted by height) and large trees (which invested predominantly in expanding crown area) to proxies for competition and soil moisture (local canopy density and topographic wetness index, respectively). Parameterising structured population models using LiDAR data therefore offers a step-change in perspective towards more ecologically meaningful forest dynamics. C_LIO_LITo broaden the application of this pipeline, we highlight three priorities: (1) Application to more complex systems such as mixed species stands and dense, multilayered canopies); (2) Incorporating complete life histories, including reproduction and early life stages; and (3) Using in long-term or comparative studies through improved availability of high-quality, comparable, repeat-LiDAR surveys. By combining remote sensing data with detailed insights from field- based studies, this pipeline represents a scalable framework for guiding forest management and conservation decisions. C_LI

ecology↗

bioRxiv2024

Variation in precipitation drives differences in interactions and short-term transient instability between grassland functional groups: a stage-structured community approach

Climate change is expected to increase the frequency and severity of precipitation extremes, causing droughts and flooding. Consequently, grassland communities are forecasted to become increasingly unstable. To predict grassland responses, we need empirical information together with models that reliably extrapolate community dynamics from those observations. However, such prediction is challenging because community models typically simulate long-term (asymptotic) performance, and thus potentially neglect their short-term (transient) performance. Here, we use data from a precipitation experiment performed over eight years to model both short- and long-term responses of three functional groups - grasses, legumes, and non-leguminous forbs - to precipitation extremes. We use multi-functional-group Integral Projection Models and pseudospectral theory, to track grassland community dynamics. We show that the percentage-cover-stage-structure of functional groups shapes their transient instability, and that inter-functional-group interactions are competitive under increased precipitation but facilitative under decreased precipitation. IPMs and pseudospectra enable forecasting of how functional-group-stage-structure drives responses to climatic extremes.

ecology↗

bioRxiv2024

No evidence for paternal age effects on sons or daughters, when accounting for paternal sperm storage

O_LIThe age at which a father reproduces is predicted to affect not only his own fertility but also the fitness of his offspring. Specifically, offspring born to old fathers are assumed to be of a lower quality than those conceived by young fathers. However, when fathers have low mating rates, paternal age might be confounded with the duration for which mature sperm are stored in fathers prior to ejaculation. C_LIO_LIStudies that disentangle the confounding effects of paternal sperm storage duration from those of paternal age, on offspring, are lacking. We use Drosophila melanogaster to test the separate and interactive effects of paternal age and sperm storage duration (sexual rest) on the survival and lifetime reproduction of offspring. C_LIO_LIAs expected, old fathers produce fewer offspring than young fathers. But surprisingly, paternal age does not influence the survival or lifetime reproductive success of either sons or daughters. Instead, sons conceived by fathers with long durations of sexual rest have lower reproductive success than sons conceived by fathers with short durations of sexual rest. C_LIO_LIWe further discover that daughters of low reproductive quality selectively disappear with age, but sons do not, highlighting that demographic processes need to be accounted for when studying paternal age effects. C_LIO_LIOverall, our study suggests that paternal age effects might not be as pervasive as previously assumed. We emphasize that a more nuanced understanding of the mechanisms causing paternal age effects is required, so that studies do not misattribute effects of paternal sperm storage to age. C_LI

evolutionary biology↗

bioRxiv2024

Population responses to environmental stochasticity are primarily driven by survival-reproduction trade-offs and mediated by aridity

Forecasting responses of natural populations to increasingly stochastic environments is a major challenge in Ecology and Conservation Biology. We now know that populations can modulate how their vital rates (e.g., survival, reproduction) change through time to minimise the negative impacts of environmental stochasticity. However, despite the important analytical and theoretical advances that have led to this knowledge, we still do not know (1) how much this ability of natural populations to buffer against environmental stochasticity can vary in nature, nor (2) the drivers of these strategies, with likely candidates including the environmental regimes themselves, as well as the life history traits and phylogenetic ancestry of the species of interest. To address these questions, we parameterised a Bayesian generalised linear mixed model with high-resolution vital rate data from 134 natural populations across 89 species of plants and animals. We show that population responses to environmental stochasticity vary three orders of magnitude along a demographic buffering continuum. Furthermore, the position of a given population along said continuum is predicted by a survival-reproduction trade-off and by the degree of aridity the population experiences. Our findings open a promising avenue of research to improve ecological forecasts and management of natural populations in the Anthropocene.

ecology↗

bioRxiv2024

Reproductive output of old polygynous males is limited by seminal fluid, not sperm number

Advancing male age can lead to reproductive senescence, which in males is thought to be largely driven by declines in the numbers of sperm transferred by old males. This decline is predicted to be particularly pronounced in polygynous species, where males become sperm limited over a mating sequence. However, males also transfer seminal fluid to females, and little is known about the contribution of seminal fluid to constrain the reproductive output of old, multiply-mating males. Using Drosophila melanogaster, we investigated whether age-related variation in male reproductive output is driven by differential limitation of sperm or seminal fluid, over a series of experimental matings. Consistent with reproductive senescence, old males produced fewer offspring than young males. However, this pattern was not driven by sperm limitation, with old males having more sperm and transferring similar numbers of sperm to a female, compared to young males. Yet surprisingly, females stored fewer sperm when mated to old than young males. Notably, females mated to old multiply-mating males produced more offspring when supplemented with seminal fluid, suggesting that fertility of old males over successive matings was limited by seminal fluid availability. Generally, our study indicates that germline maintenance might be prioritised over somatic maintenance as hypothesized by the disposable soma theory of ageing, and that seminal fluid senescence is a key contributor of reproductive decline with age. While other factors such as differential sperm viability and female post-mating responses could have also influenced our results, our study highlights the under-appreciated role of seminal fluid in mediating male reproductive senescence in polygynous species. Significance statementA key assumption in ageing research is that old males are less fertile than young males, and that this reduced fertility is partly driven by old males producing fewer sperm. However, senescence in male fertility can be caused via other ejaculate-mediated pathways, which we investigate using fruit flies. Contrary to expectations, we reveal that senescence in male fertility is not because of declines in male sperm reserves, but is instead due to age-related changes in seminal fluid and differences in female sperm storage with male age. These declines in the reproductive output of old, multiply-mating males are alleviated by supplementing females with "extra" seminal fluid. Our study demonstrates that male reproductive senescence is reversible, highlighting the underappreciated role of seminal fluid in modulating senescence in polygynous species. These results have potential for improving animal fertility and our understanding of sexual selection.

evolutionary biology↗

bioRxiv2023

Climate change has desynchronized insect and vegetation phenologies across Europe

Climate change is drastically affecting the phenologies of species worldwide, including shifts in development1-3. The potential impact of climate change on the synchronicity of plant-insect phenology is particularly concerning since the stability of pollination networks and food chains depends on their tight temporal dependencies4-6. Furthermore, the recently reported "insect armageddon"7 makes it urgent to establish trends and identify primary drivers of plant-insect phenological synchrony. Here, coupling high-resolution remote sensing and citizen science data across Europe over 34 years, we examine the differences in occurrence dates of 1,584 herbivorous insects across four orders and the corresponding dates of leaf unfolding. We find that 61.2% of the vegetation and insect phenologies have become highly asynchronous, with vegetation phenology advancing four-fold faster than insect phenology. These trends were modulated by insects life-cycles and taxonomic order. A primary driver of this phenological mismatch is the higher sensitivity of vegetation phenology than insect phenology to climate, which has prevented insects from matching the pace of plant phenological advance in the growing season. Our analyses provide a unique continental overview and underlying mechanisms of the asynchronicity between vegetation and insect phenologies, thus enhancing our ability to predict and manage its potential cascading ecological effects.

ecology↗

bioRxiv2022

MOSAIC: A Unified Trait Database to Complement Structured Population Models

O_LIThe ecological sciences have joined the big data revolution. However, despite exponential growth in data availability, broader interoperability amongst datasets is still needed to unlock the potential of open access. The interface of demography and functional traits is well-positioned to benefit from said interoperability. Trait-based ecological approaches have been criticised because of their inability to predict fitness components, the core of demography; likewise, demographic approaches are data-hungry, and so using traits as ecological shortcuts to understanding and forecasting population viability could offer great value. C_LIO_LIHere, we introduce MOSAIC, an open-access trait database that unlocks the demographic potential stored in the COMADRE, COMPADRE, and PADRINO open-access databases. MOSAIC data have been digitised and curated through a combination of existing datasets and additional taxonomic and/or trait records sourced from primary literature. In its first release, MOSAIC (v. 1.0.0) includes 14 trait fields for 300 animal and plant species: biomass, height, growth determination, regeneration, sexual dimorphism, mating system, hermaphrodism, sequential hermaphrodism, dispersal capacity, type of dispersal, mode of dispersal, dispersal classes, volancy, and aquatic habitat dependency. MOSAIC also includes species-level phylogenies for 1,359 species and population-specific climate data where locations are recorded. C_LIO_LIUsing MOSAIC, we highlight a taxonomic mismatch of widely used trait databases with existing structured population models. Despite millions of trait records available in open-access databases, taxonomic overlap between open-access demographic and trait databases is <5%. We identify where traits of interest to ecologists can benefit from database integration and start to quantify traits that are poorly quantified (e.g., growth determination, modularity). C_LIO_LIThe MOSAIC database evidences the importance of improving interoperability in open-access efforts in ecology as well as the need for complementary digitisation to fill targeted taxonomic gaps. In addition, MOSAIC highlights emerging challenges associated with the disparity between locations where different trait records are sourced. C_LI

ecology↗

bioRxiv2021

A steroid hormone regulates growth in response to oxygen availability

In almost all animals, physiologically low oxygen (hypoxia) during development slows growth and reduces adult body size1-3. The developmental mechanisms that determine growth under hypoxic conditions are, however, poorly understood. One hypothesis is that the effect of hypoxia on growth and final body size is a non-adaptive consequence of the cell-autonomous effects of hypoxia on cellular metabolism. Alternatively, the effect may be an adaptive coordinated response mediated through systemic physiological mechanisms. Here we show that the growth and body size response to moderate hypoxia (10% O2) in Drosophila melanogaster is systemically regulated via the steroid hormone ecdysone, acting partially through the insulin-binding protein Imp-L2. Ecdysone is necessary to reduce growth in response to hypoxia: hypoxic growth suppression is ameliorated when ecdysone synthesis is inhibited. This hypoxia-suppression of growth is mediated by the insulin/IGF-signaling (IIS) pathway. Hypoxia reduces systemic IIS activity and the hypoxic growth-response is eliminated in larvae with suppressed IIS. Further, loss of Imp-L2, an ecdysone-response gene that suppresses systemic IIS, significantly reduces the negative effect of hypoxia on final body size. Collectively, these data indicate that growth suppression in hypoxic Drosophila larvae is accomplished by systemic endocrine mechanisms rather than direct suppression of tissue aerobic metabolism.

developmental biology↗