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Tan S, Li J, Chen J, Fu J. Context-dependent effects of thermal acclimation on physiological correlates of animal personality in Asiatic toads. Proc Biol Sci 2024; 291:20241012. [PMID: 39079664 PMCID: PMC11288686 DOI: 10.1098/rspb.2024.1012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 06/05/2024] [Accepted: 06/05/2024] [Indexed: 08/03/2024] Open
Abstract
Persistent individual variation in behaviour, or 'personality', is a widespread phenomenon in animals, and understanding the evolution of animal personality is a key task of current biology. Natural selection has been proposed to promote the integration of personality with animal 'intrinsic states', such as metabolic or endocrine traits, and this integration varies with ecological conditions. However, these external ecological modulatory effects have rarely been examined. Here, we investigate the effects of thermal acclimation on between-individual covariations between physiology and behaviour in Asiatic toads (Bufo gargarizans) along an altitudinal gradient. Our results reveal that the thermal modulatory effects on the covariations depend on the altitudinal population. Specifically, at low altitudes, between-individual covariations are highly plastic, with risk-taking behaviour covarying with baseline glucocorticoids (GCs) under warm acclimation, but risk-taking and exploration behaviour covarying with resting metabolic rate (RMR) under cold acclimation. In contrast, between-individual covariations are relatively fixed at high altitudes, with risk-taking behaviour consistently covarying with baseline GCs. Furthermore, at low altitudes, changes in covariations between RMR and personality are associated with adjustment of energy management models. Evidently, animal physiological states that determine or covary with personality can adapt according to the seasonal thermal environment and the thermal evolutionary background of populations. Our findings highlight the importance of a multi-system physiological approach to understand the evolution of animal personality.
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Affiliation(s)
- Song Tan
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization and Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu610041, People’s Republic of China
- College of Life Sciences, Sichuan University, Chengdu610064, People’s Republic of China
- University of the Chinese Academy of Sciences, No.19 (A) Yuquan Road, Shijingshan District, Beijing100049, People’s Republic of China
| | - Juan Li
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization and Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu610041, People’s Republic of China
| | - Jingfeng Chen
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization and Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu610041, People’s Republic of China
- University of the Chinese Academy of Sciences, No.19 (A) Yuquan Road, Shijingshan District, Beijing100049, People’s Republic of China
| | - Jinzhong Fu
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization and Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu610041, People’s Republic of China
- Department of Integrative Biology, University of Guelph, Guelph, OntarioN1G 2W1, Canada
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2
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D'Amelio PB, Covas R, Ferreira AC, Fortuna R, Silva LR, Theron F, Rybak F, Doutrelant C. Benefits of Pair-Bond Duration on Reproduction in a Lifelong Monogamous Cooperative Passerine. Am Nat 2024; 203:576-589. [PMID: 38635359 DOI: 10.1086/729436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/20/2024]
Abstract
AbstractLong-term social and genetic monogamy is rare in animals except birds, but even in birds it is infrequent and poorly understood. We investigated possible advantages of monogamy in a colonial, facultative cooperatively breeding bird from an arid, unpredictable environment, the sociable weaver (Philetairus socius). We documented divorce and extrapair paternity of 703 pairs over 10 years and separated effects of pair duration from breeding experience by analyzing longitudinal and cross-sectional datasets. Parts of the colonies were protected from nest predation, thereby limiting its stochastic and thus confounding effect on fitness measures. We found that 6.4% of sociable weaver pairs divorced and 2.2% of young were extrapair. Longer pair-bonds were associated with more clutches and fledglings per season and with reproducing earlier and later in the season, when snake predation is lower, but not with increased egg or fledgling mass or with nestling survival. Finally, the number of helpers at the nest increased with pair-bond duration. Results were similar for protected and unprotected nests. We suggest that long-term monogamy is associated with a better capacity for exploiting a temporally unpredictable environment and helps to form larger groups. These results can contribute to our understanding of why long-term monogamy is frequently associated with unpredictable environments and cooperation.
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3
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Kar F, Nakagawa S, Noble DWA. Heritability and developmental plasticity of growth in an oviparous lizard. Heredity (Edinb) 2024; 132:67-76. [PMID: 37968348 PMCID: PMC10844306 DOI: 10.1038/s41437-023-00660-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 10/28/2023] [Accepted: 10/29/2023] [Indexed: 11/17/2023] Open
Abstract
Selective processes act on phenotypic variation although the evolutionary potential of a trait relies on the underlying heritable variation. Developmental plasticity is an important source of phenotypic variation, but it can also promote changes in genetic variation, yet we have a limited understanding of how they are both impacted. Here, we quantified the influence of developmental temperature on growth in delicate skinks (Lampropholis delicata) and partitioned total phenotypic variance using an animal model fitted with a genomic relatedness matrix. We measured mass for 261 individuals (nhot = 125, ncold = 136) over 16 months (nobservations = 3002) and estimated heritability and maternal effects over time. Our results show that lizards reared in cold developmental temperatures had consistently higher mass across development compared to lizards that were reared in hot developmental temperatures. However, developmental temperature did not impact the rate of growth. On average, additive genetic variance, maternal effects and heritability were higher in the hot developmental temperature treatment; however, these differences were not statistically significant. Heritability increased with age, whereas maternal effects decreased upon hatching but increased again at a later age, which could be driven by social competition or intrinsic changes in the expression of variation as an individual's growth. Our work suggests that the evolutionary potential of growth is complex, age-dependent and not overtly affected by extremes in natural nest temperatures.
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Affiliation(s)
- Fonti Kar
- School of Biological Earth and Environmental Sciences, Ecology and Evolution Research Centre, University of New South Wales, Sydney, NSW, Australia
| | - Shinichi Nakagawa
- School of Biological Earth and Environmental Sciences, Ecology and Evolution Research Centre, University of New South Wales, Sydney, NSW, Australia
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, Sydney, NSW, 2010, Australia
| | - Daniel W A Noble
- School of Biological Earth and Environmental Sciences, Ecology and Evolution Research Centre, University of New South Wales, Sydney, NSW, Australia.
- Division of Ecology and Evolution, Research School of Biology, The Australian National University, Canberra, ACT, Australia.
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4
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Metzger M, Dukic S, McMackin R, Giglia E, Mitchell M, Bista S, Costello E, Peelo C, Tadjine Y, Sirenko V, Plaitano S, Coffey A, McManus L, Farnell Sharp A, Mehra P, Heverin M, Bede P, Muthuraman M, Pender N, Hardiman O, Nasseroleslami B. Functional network dynamics revealed by EEG microstates reflect cognitive decline in amyotrophic lateral sclerosis. Hum Brain Mapp 2024; 45:e26536. [PMID: 38087950 PMCID: PMC10789208 DOI: 10.1002/hbm.26536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 10/26/2023] [Accepted: 10/31/2023] [Indexed: 01/16/2024] Open
Abstract
Recent electroencephalography (EEG) studies have shown that patterns of brain activity can be used to differentiate amyotrophic lateral sclerosis (ALS) and control groups. These differences can be interrogated by examining EEG microstates, which are distinct, reoccurring topographies of the scalp's electrical potentials. Quantifying the temporal properties of the four canonical microstates can elucidate how the dynamics of functional brain networks are altered in neurological conditions. Here we have analysed the properties of microstates to detect and quantify signal-based abnormality in ALS. High-density resting-state EEG data from 129 people with ALS and 78 HC were recorded longitudinally over a 24-month period. EEG topographies were extracted at instances of peak global field power to identify four microstate classes (labelled A-D) using K-means clustering. Each EEG topography was retrospectively associated with a microstate class based on global map dissimilarity. Changes in microstate properties over the course of the disease were assessed in people with ALS and compared with changes in clinical scores. The topographies of microstate classes remained consistent across participants and conditions. Differences were observed in coverage, occurrence, duration, and transition probabilities between ALS and control groups. The duration of microstate class B and coverage of microstate class C correlated with lower limb functional decline. The transition probabilities A to D, C to B and C to B also correlated with cognitive decline (total ECAS) in those with cognitive and behavioural impairments. Microstate characteristics also significantly changed over the course of the disease. Examining the temporal dependencies in the sequences of microstates revealed that the symmetry and stationarity of transition matrices were increased in people with late-stage ALS. These alterations in the properties of EEG microstates in ALS may reflect abnormalities within the sensory network and higher-order networks. Microstate properties could also prospectively predict symptom progression in those with cognitive impairments.
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Affiliation(s)
- Marjorie Metzger
- Academic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College DublinUniversity of DublinDublinIreland
| | - Stefan Dukic
- Academic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College DublinUniversity of DublinDublinIreland
- Department of Neurology, University Medical Centre Utrecht Brain CentreUtrecht UniversityUtrechtThe Netherlands
| | - Roisin McMackin
- Academic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College DublinUniversity of DublinDublinIreland
- Discipline of Physiology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College DublinUniversity of DublinDublinIreland
| | - Eileen Giglia
- Academic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College DublinUniversity of DublinDublinIreland
| | - Matthew Mitchell
- Academic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College DublinUniversity of DublinDublinIreland
| | - Saroj Bista
- Academic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College DublinUniversity of DublinDublinIreland
| | - Emmet Costello
- Academic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College DublinUniversity of DublinDublinIreland
| | - Colm Peelo
- Academic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College DublinUniversity of DublinDublinIreland
| | - Yasmine Tadjine
- Academic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College DublinUniversity of DublinDublinIreland
| | - Vladyslav Sirenko
- Academic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College DublinUniversity of DublinDublinIreland
| | - Serena Plaitano
- Academic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College DublinUniversity of DublinDublinIreland
| | - Amina Coffey
- Academic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College DublinUniversity of DublinDublinIreland
| | - Lara McManus
- Academic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College DublinUniversity of DublinDublinIreland
| | - Adelais Farnell Sharp
- Academic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College DublinUniversity of DublinDublinIreland
| | - Prabhav Mehra
- Academic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College DublinUniversity of DublinDublinIreland
| | - Mark Heverin
- Academic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College DublinUniversity of DublinDublinIreland
| | - Peter Bede
- Academic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College DublinUniversity of DublinDublinIreland
| | - Muthuraman Muthuraman
- Neural Engineering with Signal Analytics and Artificial Intelligence, Department of NeurologyUniversity of WürzburgWürzburgGermany
| | - Niall Pender
- Academic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College DublinUniversity of DublinDublinIreland
- Department of PsychologyBeaumont HospitalDublinIreland
| | - Orla Hardiman
- Academic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College DublinUniversity of DublinDublinIreland
- Department of NeurologyBeaumont HospitalDublinIreland
| | - Bahman Nasseroleslami
- Academic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College DublinUniversity of DublinDublinIreland
- FutureNeuro ‐ SFI Research Centre for Chronic and Rare Neurological DiseasesRoyal College of SurgeonsDublinIreland
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5
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Fisher DN, Cheney BJ. Dolphin social phenotypes vary in response to food availability but not the North Atlantic Oscillation index. Proc Biol Sci 2023; 290:20231187. [PMID: 37817593 PMCID: PMC10565371 DOI: 10.1098/rspb.2023.1187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 09/18/2023] [Indexed: 10/12/2023] Open
Abstract
Social behaviours can allow individuals to flexibly respond to environmental change, potentially buffering adverse effects. However, individuals may respond differently to the same environmental stimulus, complicating predictions for population-level response to environmental change. Here, we show that bottlenose dolphins (Tursiops truncatus) alter their social behaviour at yearly and monthly scales in response to a proxy for food availability (salmon abundance) but do not respond to variation in a proxy for climate (the North Atlantic Oscillation index). There was also individual variation in plasticity for gregariousness and connectedness to distant parts of the social network, although these traits showed limited repeatability. By contrast, individuals showed consistent differences in clustering with their immediate social environment at the yearly scale but no individual variation in plasticity for this trait at either timescale. These results indicate that social behaviour in free-ranging cetaceans can be highly resource dependent with individuals increasing their connectedness over short timescales but possibly reducing their wider range of connection at longer timescales. Some social traits showed more individual variation in plasticity or mean behaviour than others, highlighting how predictions for the responses of populations to environmental variation must consider the type of individual variation present in the population.
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Affiliation(s)
- David N. Fisher
- School of Biological Sciences, University of Aberdeen, King's College, Aberdeen AB24 3FX, UK
| | - Barbara J. Cheney
- School of Biological Sciences, University of Aberdeen, Lighthouse Field Station, George Street, Cromarty IV11 8YL, UK
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Gordon DM, Steiner E, Das B, Walker NS. Harvester ant colonies differ in collective behavioural plasticity to regulate water loss. ROYAL SOCIETY OPEN SCIENCE 2023; 10:230726. [PMID: 37736532 PMCID: PMC10509591 DOI: 10.1098/rsos.230726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Accepted: 08/24/2023] [Indexed: 09/23/2023]
Abstract
Collective behavioural plasticity allows ant colonies to adjust to changing conditions. The red harvester ant (Pogonomyrmex barbatus), a desert seed-eating species, regulates foraging activity in response to water stress. Foraging ants lose water to evaporation. Reducing foraging activity in dry conditions sacrifices food intake but conserves water. Within a year, some colonies tend to reduce foraging on dry days while others do not. We examined whether these differences among colonies in collective behavioural plasticity persist from year to year. Colonies live 20-30 years with a single queen who produces successive cohorts of workers which live only a year. The humidity level at which all colonies tend to reduce foraging varies from year to year. Longitudinal observations of 95 colonies over 5 years between 2016 and 2021 showed that differences among colonies, in how they regulate foraging activity in response to day-to-day changes in humidity, persist across years. Approximately 40% of colonies consistently reduced foraging activity, year after year, on days with low daily maximum relative humidity; approximately 20% of colonies never did, foraging as much or more on dry days as on humid days. This variation among colonies may allow evolutionary rescue from drought due to climate change.
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Affiliation(s)
- D. M. Gordon
- Department of Biology, Stanford University, Stanford, CA 94305, USA
| | - E. Steiner
- InfoGraphics Lab, University of Oregon, Eugene, OR, USA
| | - Biplabendu Das
- Department of Biology, Stanford University, Stanford, CA 94305, USA
| | - N. S. Walker
- Hawai'i Institute of Marine Biology, University of Hawai‘i at Mānoa, Kāne'ohe, HI, USA
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7
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Xu W, Gigliotti LC, Royauté R, Sawyer H, Middleton AD. Fencing amplifies individual differences in movement with implications on survival for two migratory ungulates. J Anim Ecol 2023; 92:677-689. [PMID: 36598334 DOI: 10.1111/1365-2656.13879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 12/09/2022] [Indexed: 01/05/2023]
Abstract
Fences have recently been recognized as one of the most prominent linear infrastructures on earth. As animals traverse fenced landscapes, they adjust movement behaviours to optimize resource access while minimizing energetic costs of coping with fences. Examining individual responses is key for connecting localized fence effects with population dynamics. We investigated the multi-scale effects of fencing on animal movements, space use and survival of 61 pronghorn and 96 mule deer on a gradient of fence density in Wyoming, USA. Taking advantage of the recently developed Barrier Behaviour Analysis, we classified individual movement responses upon encountering fences (i.e. barrier behaviours). We adopted the reaction norm framework to jointly quantify individual plasticity and behavioural types of barrier behaviours, as well as behaviour syndromes between barrier behaviours and animal space use. We also assessed whether barrier behaviours affect individual survival. Our results highlighted a high-level individual plasticity encompassing differences in the degree and direction of barrier behaviours for both pronghorn and mule deer. Additionally, these individual differences were greater at higher fence densities. For mule deer, fence density determined the correlation between barrier behaviours and space use and was negatively associated with individual survival. However, these relationships were not statistically significant for pronghorn. By integrating approaches from movement ecology and behavioural ecology with the emerging field of fence ecology, this study provides new evidence that an extraordinarily widespread linear infrastructure uniquely impacts animals at the individual level. Managing landscape for lower fence densities may help prevent irreversible behavioural shifts for wide-ranging animals in fenced landscapes.
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Affiliation(s)
- Wenjing Xu
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, California, USA
| | - Laura C Gigliotti
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, California, USA
| | - Raphaël Royauté
- French National Institute for Agriculture, Food, and Environment (INRAE), Versailles cedex, France
| | - Hall Sawyer
- Western Ecosystems Technology, Inc., Laramie, Wyoming, USA
| | - Arthur D Middleton
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, California, USA
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8
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Newediuk L, Bath DR. Meta-analysis reveals between-population differences affect the link between glucocorticoids and population health. CONSERVATION PHYSIOLOGY 2023; 11:coad005. [PMID: 36845329 PMCID: PMC9945071 DOI: 10.1093/conphys/coad005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 01/31/2023] [Accepted: 02/03/2023] [Indexed: 06/18/2023]
Abstract
Glucocorticoids are a popular tool for monitoring health of animal populations because they can increase with environmental stressors and can indicate chronic stress. However, individual responses to stressors create variation in the glucocorticoid-fitness relationship within populations. The inconsistency in this relationship calls into question the widespread use of glucocorticoids in conservation. We investigated the sources of variation in the glucocorticoid-fitness relationship by conducting a meta-analysis across a diverse set of species exposed to conservation-relevant stressors. We first quantified the extent to which studies inferred population health from glucocorticoids without first validating the glucocorticoid-fitness relationship in their own populations. We also tested whether population-level information like life history stage, sex and species longevity influenced the relationship between glucocorticoids and fitness. Finally, we tested for a universally consistent relationship between glucocorticoids and fitness across studies. We found more than half of peer-reviewed studies published between 2008 and 2022 inferred population health solely based on glucocorticoid levels. While life history stage explained some variation in the relationship between glucocorticoids and fitness, we found no consistent relationship between them. Much of the variation in the relationship could be the result of idiosyncratic characteristics of declining populations, such as unstable demographic structure, that coincided with large amounts of variation in glucocorticoid production. We suggest that conservation biologists capitalize on this variation in glucocorticoid production by declining populations by using the variance in glucocorticoid production as an early warning for declines in population health.
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Affiliation(s)
- Levi Newediuk
- Corresponding author: Department of Biology, Memorial University, 45 Arctic Avenue, St. John's, Newfoundland A1B 3X9, Canada.
| | - Devon R Bath
- Department of Ocean Sciences, Memorial University, 0 Marine Lab Road, St. John's, Newfoundland A1C 5S7, Canada
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Salazar SM, Hlebowicz K, Komdeur J, Korsten P. Repeatable parental risk taking across manipulated levels of predation threat: no individual variation in plasticity. Anim Behav 2023. [DOI: 10.1016/j.anbehav.2022.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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10
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Spake R, O’Dea RE, Nakagawa S, Doncaster CP, Ryo M, Callaghan CT, Bullock JM. Improving quantitative synthesis to achieve generality in ecology. Nat Ecol Evol 2022; 6:1818-1828. [DOI: 10.1038/s41559-022-01891-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 08/26/2022] [Indexed: 11/05/2022]
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11
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Schielzeth H, Nakagawa S. Conditional repeatability and the variance explained by reaction norm variation in random slope models. Methods Ecol Evol 2022. [DOI: 10.1111/2041-210x.13856] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Holger Schielzeth
- Institute of Ecology and Evolution Friedrich Schiller University Jena Germany
| | - Shinichi Nakagawa
- Evolution & Ecology Research Centre, UNSW Data Science Hub, and School of Biological, Earth and Environmental Sciences University of New South Wales Sydney Australia
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