1
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Stott I, Salguero-Gómez R, Jones OR, Ezard THG, Gamelon M, Lachish S, Lebreton JD, Simmonds EG, Gaillard JM, Hodgson DJ. Life histories are not just fast or slow. Trends Ecol Evol 2024; 39:830-840. [PMID: 39003192 DOI: 10.1016/j.tree.2024.06.001] [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: 07/18/2023] [Revised: 05/03/2024] [Accepted: 06/03/2024] [Indexed: 07/15/2024]
Abstract
Life history strategies, which combine schedules of survival, development, and reproduction, shape how natural selection acts on species' heritable traits and organismal fitness. Comparative analyses have historically ranked life histories along a fast-slow continuum, describing a negative association between time allocation to reproduction and development versus survival. However, higher-quality, more representative data and analyses have revealed that life history variation cannot be fully accounted for by this single continuum. Moreover, studies often do not test predictions from existing theories and instead operate as exploratory exercises. To move forward, we offer three recommendations for future investigations: standardizing life history traits, overcoming taxonomic siloes, and using theory to move from describing to understanding life history variation across the Tree of Life.
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Affiliation(s)
- Iain Stott
- Department of Life Sciences, University of Lincoln, Lincoln LN6 7TS, UK; Department of Biology, University of Southern Denmark, Odense 5230, Denmark.
| | | | - Owen R Jones
- Department of Biology, University of Southern Denmark, Odense 5230, Denmark
| | - Thomas H G Ezard
- School of Ocean and Earth Science, University of Southampton, European Way, Southampton SO14 3ZH, UK
| | - Marlène Gamelon
- Laboratoire de Biométrie et Biologie Evolutive UMR 5558, CNRS, Université Claude Bernard Lyon 1, 69622, Villeurbanne, France
| | - Shelly Lachish
- Department of Biology, University of Oxford, Oxford, OX1 3SZ, UK
| | | | - Emily G Simmonds
- Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, 7491, Trondheim, Norway; Department of Mathematical Sciences, Norwegian University of Science and Technology, 7034, Trondheim, Norway
| | - Jean-Michel Gaillard
- Laboratoire de Biométrie et Biologie Evolutive UMR 5558, CNRS, Université Claude Bernard Lyon 1, 69622, Villeurbanne, France
| | - Dave J Hodgson
- Department of Ecology & Evolution, University of Exeter, Penryn TR10 9FE, UK
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2
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Pärt T, Jeppsson T, Paquet M, Arlt D, Laugen AT, Low M, Knape J, Qvarnström A, Forslund P. Unclear relationships between mean survival rate and its environmental variance in vertebrates. Ecol Evol 2024; 14:e11104. [PMID: 38435010 PMCID: PMC10909500 DOI: 10.1002/ece3.11104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 02/15/2024] [Accepted: 02/20/2024] [Indexed: 03/05/2024] Open
Abstract
Current environmental changes may increase temporal variability of life history traits of species thus affecting their long-term population growth rate and extinction risk. If there is a general relationship between environmental variances (EVs) and mean annual survival rates of species, that relationship could be used as a guideline for analyses of population growth and extinction risk for populations, where data on EVs are missing. For this purpose, we present a comprehensive compilation of 252 EV estimates from 89 species belonging to five vertebrate taxa (birds, mammals, reptiles, amphibians and fish) covering mean annual survival rates from 0.01 to 0.98. Since variances of survival rates are constrained by their means, particularly for low and high mean survival rates, we assessed whether any observed relationship persisted after applying two types of commonly used variance stabilizing transformations: relativized EVs (observed/mathematical maximum) and logit-scaled EVs. With raw EVs at the arithmetic scale, mean-variance relationships of annual survival rates were hump-shaped with small EVs at low and high mean survival rates and higher (and widely variable) EVs at intermediate mean survival rates. When mean annual survival rates were related to relativized EVs the hump-shaped pattern was less distinct than for raw EVs. When transforming EVs to logit scale the relationship between mean annual survival rates and EVs largely disappeared. The within-species juvenile-adult slopes were mainly positive at low (<0.5) and negative at high (>0.5) mean survival rates for raw and relativized variances while these patterns disappeared when EVs were logit transformed. Uncertainties in how to interpret the results of relativized and logit-scaled EVs, and the observed high variation in EV's for similar mean annual survival rates illustrates that extrapolations of observed EVs and tests of life history drivers of survival-EV relationships need to also acknowledge the large variation in these parameters.
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Affiliation(s)
- Tomas Pärt
- Department of EcologySwedish University of Agricultural SciencesUppsalaSweden
| | | | - Matthieu Paquet
- Department of EcologySwedish University of Agricultural SciencesUppsalaSweden
- Institute of Mathematics of Bordeaux, CNRSUniversity of BordeauxTalenceFrance
- Theoretical and Experimental Ecology Station (SETE)CNRSMoulisFrance
| | - Debora Arlt
- Department of EcologySwedish University of Agricultural SciencesUppsalaSweden
- SLU Swedish Species Information CentreSwedish University of Agricultural SciencesUppsalaSweden
| | - Ane T. Laugen
- Department of Natural SciencesUniversity of AgderKristiansandNorway
| | - Matthew Low
- Department of EcologySwedish University of Agricultural SciencesUppsalaSweden
| | - Jonas Knape
- Department of EcologySwedish University of Agricultural SciencesUppsalaSweden
| | | | - Pär Forslund
- Department of EcologySwedish University of Agricultural SciencesUppsalaSweden
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3
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Gascoigne SJL, Kajin M, Salguero-Gómez R. Criteria for buffering in ecological modeling. Trends Ecol Evol 2024; 39:116-118. [PMID: 38042645 DOI: 10.1016/j.tree.2023.11.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 11/13/2023] [Accepted: 11/15/2023] [Indexed: 12/04/2023]
Affiliation(s)
| | - Maja Kajin
- Department of Biology, South Parks Road, University of Oxford, Oxford, UK; Department of Biology, Biotechnical Faculty, University of Ljubljana, Večna pot 111, 1000 Ljubljana, Slovenia
| | - Roberto Salguero-Gómez
- Department of Biology, South Parks Road, University of Oxford, Oxford, UK; National Laboratory for Grassland and Agro-ecosystems, Lanzhou University, Lanzhou, China
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4
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McDonald J, Finka L, Foreman-Worsley R, Skillings E, Hodgson D. Cat: Empirical modelling of Felis catus population dynamics in the UK. PLoS One 2023; 18:e0287841. [PMID: 37437091 DOI: 10.1371/journal.pone.0287841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 06/13/2023] [Indexed: 07/14/2023] Open
Abstract
Domestic cats are popular companion animals, however not all live in human homes and many cats live within shelters or as free-roaming, unowned- feral or stray cats. Cats can transition between these subpopulations, but the influence of this connectivity on overall population dynamics, and the effectiveness of management interventions, remain poorly understood. We developed a UK-focused multistate Matrix Population Model (MPM), combining multiple life history parameters into an integrated model of cat demography and population dynamics. The model characterises cats according to their age, subpopulation and reproductive status, resulting in a 28-state model. We account for density-dependence, seasonality and uncertainty in our modelled projections. Through simulations, we examine the model by testing the effect of different female owned-cat neutering scenarios over a 10-year projection timespan. We also use the model to identify the vital rates to which total population growth is most sensitive. The current model framework demonstrates that increased prevalence of neutering within the owned cat subpopulation influences the population dynamics of all subpopulations. Further simulations find that neutering owned cats younger is sufficient to reduce overall population growth rate, regardless of the overall neutering prevalence. Population growth rate is most influenced by owned cat survival and fecundity. Owned cats, which made up the majority of our modelled population, have the most influence on overall population dynamics, followed by stray, feral and then shelter cats. Due to the importance of owned-cat parameters within the current model framework, we find cat population dynamics are most sensitive to shifts in owned cat husbandry. Our results provide a first evaluation of the demography of the domestic cat population in the UK and provide the first structured population model of its kind, thus contributing to a wider understanding of the importance of modelling connectivity between subpopulations. Through example scenarios we highlight the importance of studying domestic cat populations in their entirety to better understand factors influencing their dynamics and to guide management planning. The model provides a theoretical framework for further development, tailoring to specific geographies and experimental investigation of management interventions.
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Affiliation(s)
- Jenni McDonald
- Feline Welfare Directorate, Cats Protection, National Cat Centre, Haywards Heath, United Kingdom
- Bristol Veterinary School, University of Bristol, Bristol, United Kingdom
| | - Lauren Finka
- Feline Welfare Directorate, Cats Protection, National Cat Centre, Haywards Heath, United Kingdom
| | - Rae Foreman-Worsley
- Feline Welfare Directorate, Cats Protection, National Cat Centre, Haywards Heath, United Kingdom
| | - Elizabeth Skillings
- Feline Welfare Directorate, Cats Protection, National Cat Centre, Haywards Heath, United Kingdom
| | - Dave Hodgson
- Centre for Ecology and Conservation, University of Exeter, Cornwall, United Kingdom
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5
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Conquet E, Ozgul A, Blumstein DT, Armitage KB, Oli MK, Martin JGA, Clutton-Brock TH, Paniw M. Demographic consequences of changes in environmental periodicity. Ecology 2023; 104:e3894. [PMID: 36208282 DOI: 10.1002/ecy.3894] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 07/27/2022] [Accepted: 08/04/2022] [Indexed: 01/24/2023]
Abstract
The fate of natural populations is mediated by complex interactions among vital rates, which can vary within and among years. Although the effects of random, among-year variation in vital rates have been studied extensively, relatively little is known about how periodic, nonrandom variation in vital rates affects populations. This knowledge gap is potentially alarming as global environmental change is projected to alter common periodic variations, such as seasonality. We investigated the effects of changes in vital-rate periodicity on populations of three species representing different forms of adaptation to periodic environments: the yellow-bellied marmot (Marmota flaviventer), adapted to strong seasonality in snowfall; the meerkat (Suricata suricatta), adapted to inter-annual stochasticity as well as seasonal patterns in rainfall; and the dewy pine (Drosophyllum lusitanicum), adapted to fire regimes and periodic post-fire habitat succession. To assess how changes in periodicity affect population growth, we parameterized periodic matrix population models and projected population dynamics under different scenarios of perturbations in the strength of vital-rate periodicity. We assessed the effects of such perturbations on various metrics describing population dynamics, including the stochastic growth rate, log λS . Overall, perturbing the strength of periodicity had strong effects on population dynamics in all three study species. For the marmots, log λS decreased with increased seasonal differences in adult survival. For the meerkats, density dependence buffered the effects of perturbations of periodicity on log λS . Finally, dewy pines were negatively affected by changes in natural post-fire succession under stochastic or periodic fire regimes with fires occurring every 30 years, but were buffered by density dependence from such changes under presumed more frequent fires or large-scale disturbances. We show that changes in the strength of vital-rate periodicity can have diverse but strong effects on population dynamics across different life histories. Populations buffered from inter-annual vital-rate variation can be affected substantially by changes in environmentally driven vital-rate periodic patterns; however, the effects of such changes can be masked in analyses focusing on inter-annual variation. As most ecosystems are affected by periodic variations in the environment such as seasonality, assessing their contributions to population viability for future global-change research is crucial.
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Affiliation(s)
- Eva Conquet
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
| | - Arpat Ozgul
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
| | - Daniel T Blumstein
- Department of Ecology and Evolutionary Biology, University of California Los Angeles, Los Angeles, California, USA.,The Rocky Mountain Biological Laboratory, Crested Butte, Colorado, USA
| | - Kenneth B Armitage
- Department of Ecology and Evolutionary Biology, The University of Kansas, Lawrence, Kansas, USA
| | - Madan K Oli
- Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, USA
| | - Julien G A Martin
- Department of Biology, University of Ottawa, Ottawa, Ontario, Canada.,School of Biological Sciences, University of Aberdeen, Aberdeen, UK
| | - Tim H Clutton-Brock
- Department of Zoology, University of Cambridge, Cambridge, UK.,Kalahari Research Trust, Kuruman River Reserve, Northern Cape, South Africa.,Mammal Research Institute, University of Pretoria, Pretoria, South Africa
| | - Maria Paniw
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.,Department of Conservation and Global Change, Doñana Biological Station (EBD-CSIC), Seville, Spain
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6
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Vinton AC, Gascoigne SJL, Sepil I, Salguero-Gómez R. Plasticity's role in adaptive evolution depends on environmental change components. Trends Ecol Evol 2022; 37:1067-1078. [PMID: 36153155 DOI: 10.1016/j.tree.2022.08.008] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 08/23/2022] [Accepted: 08/26/2022] [Indexed: 01/12/2023]
Abstract
To forecast extinction risks of natural populations under climate change and direct human impacts, an integrative understanding of both phenotypic plasticity and adaptive evolution is essential. To date, the evidence for whether, when, and how much plasticity facilitates adaptive responses in changing environments is contradictory. We argue that explicitly considering three key environmental change components - rate of change, variance, and temporal autocorrelation - affords a unifying framework of the impact of plasticity on adaptive evolution. These environmental components each distinctively effect evolutionary and ecological processes underpinning population viability. Using this framework, we develop expectations regarding the interplay between plasticity and adaptive evolution in natural populations. This framework has the potential to improve predictions of population viability in a changing world.
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Affiliation(s)
- Anna C Vinton
- Department of Biology, University of Oxford, Oxford, OX1 3SZ, UK.
| | | | - Irem Sepil
- Department of Biology, University of Oxford, Oxford, OX1 3SZ, UK
| | - Roberto Salguero-Gómez
- Department of Biology, University of Oxford, Oxford, OX1 3SZ, UK; Centre for Biodiversity and Conservation Science, University of Queensland, St Lucia 4071, QLD, Australia; Evolutionary Demography Laboratory, Max Plank Institute for Demographic Research, Rostock 18057, Germany
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7
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Le Coeur C, Yoccoz NG, Salguero-Gómez R, Vindenes Y. Life history adaptations to fluctuating environments: Combined effects of demographic buffering and lability. Ecol Lett 2022; 25:2107-2119. [PMID: 35986627 DOI: 10.1111/ele.14071] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 06/03/2022] [Accepted: 06/14/2022] [Indexed: 01/07/2023]
Abstract
Demographic buffering and lability have been identified as adaptive strategies to optimise fitness in a fluctuating environment. These are not mutually exclusive, however, we lack efficient methods to measure their relative importance for a given life history. Here, we decompose the stochastic growth rate (fitness) into components arising from nonlinear responses and variance-covariance of demographic parameters to an environmental driver, which allows studying joint effects of buffering and lability. We apply this decomposition for 154 animal matrix population models under different scenarios to explore how these main fitness components vary across life histories. Faster-living species appear more responsive to environmental fluctuations, either positively or negatively. They have the highest potential for strong adaptive demographic lability, while demographic buffering is a main strategy in slow-living species. Our decomposition provides a comprehensive framework to study how organisms adapt to variability through buffering and lability, and to predict species responses to climate change.
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Affiliation(s)
- Christie Le Coeur
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, Oslo, Norway
| | - Nigel G Yoccoz
- Department of Arctic and Marine Biology, Faculty of Biosciences, Fisheries and Economics, UiT The Arctic University of Norway, Tromsø, Norway
| | | | - Yngvild Vindenes
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, Oslo, Norway
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8
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Capdevila P, Stott I, Cant J, Beger M, Rowlands G, Grace M, Salguero‐Gómez R. Life history mediates the trade-offs among different components of demographic resilience. Ecol Lett 2022; 25:1566-1579. [PMID: 35334148 PMCID: PMC9314072 DOI: 10.1111/ele.14004] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 02/22/2022] [Accepted: 03/08/2022] [Indexed: 02/04/2023]
Abstract
Accelerating rates of biodiversity loss underscore the need to understand how species achieve resilience-the ability to resist and recover from a/biotic disturbances. Yet, the factors determining the resilience of species remain poorly understood, due to disagreements on its definition and the lack of large-scale analyses. Here, we investigate how the life history of 910 natural populations of animals and plants predicts their intrinsic ability to be resilient. We show that demographic resilience can be achieved through different combinations of compensation, resistance and recovery after a disturbance. We demonstrate that these resilience components are highly correlated with life history traits related to the species' pace of life and reproductive strategy. Species with longer generation times require longer recovery times post-disturbance, whilst those with greater reproductive capacity have greater resistance and compensation. Our findings highlight the key role of life history traits to understand species resilience, improving our ability to predict how natural populations cope with disturbance regimes.
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Affiliation(s)
- Pol Capdevila
- Zoology DepartmentOxford UniversityOxfordUK
- School of Biological SciencesUniversity of BristolBristolUK
| | - Iain Stott
- School of Life and Environmental SciencesUniversity of LincolnLincolnUK
| | - James Cant
- School of BiologyFaculty of Biological SciencesUniversity of LeedsLeedsUK
| | - Maria Beger
- School of BiologyFaculty of Biological SciencesUniversity of LeedsLeedsUK
- Centre for Biodiversity and Conservation ScienceSchool of Biological SciencesUniversity of QueenslandBrisbaneAustralia
| | | | | | - Roberto Salguero‐Gómez
- Zoology DepartmentOxford UniversityOxfordUK
- Centre for Biodiversity and Conservation ScienceSchool of Biological SciencesUniversity of QueenslandBrisbaneAustralia
- Max Planck Institute for Demographic ResearchRostockGermany
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9
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Schmid M, Paniw M, Postuma M, Ozgul A, Guillaume F. A tradeoff between robustness to environmental fluctuations and speed of evolution. Am Nat 2022; 200:E16-E35. [DOI: 10.1086/719654] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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10
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de Araujo Lira AF, Correia de Araújo JC, Dionisio-da-Silva W, de Albuquerque CMR. Life-history traits of the Brazilian litter-dwelling scorpion: post-embryonic development and reproductive behaviour in Ananteris mauryi Lourenço, 1982 (Scorpiones: Buthidae). J NAT HIST 2021. [DOI: 10.1080/00222933.2021.1925766] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- André Felipe de Araujo Lira
- Programa de Pós-graduação em Biociência Animal Departamento de Morfologia e Fisiologia Animal, Universidade Federal Rural de Pernambuco, Recife, Brazil
| | | | - Welton Dionisio-da-Silva
- Programa de Pós-graduação em Ciências Biológicas, Departamento de Sistemática e Ecologia, Universidade Federal da Paraíba, João Pessoa, Brazil
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11
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Villellas J, Ehrlén J, Crone EE, Csergő AM, Garcia MB, Laine AL, Roach DA, Salguero-Gómez R, Wardle GM, Childs DZ, Elderd BD, Finn A, Munné-Bosch S, Bachelot B, Bódis J, Bucharova A, Caruso CM, Catford JA, Coghill M, Compagnoni A, Duncan RP, Dwyer JM, Ferguson A, Fraser LH, Griffoul E, Groenteman R, Hamre LN, Helm A, Kelly R, Laanisto L, Lonati M, Münzbergová Z, Nuche P, Olsen SL, Oprea A, Pärtel M, Petry WK, Ramula S, Rasmussen PU, Enri SR, Roeder A, Roscher C, Schultz C, Skarpaas O, Smith AL, Tack AJM, Töpper JP, Vesk PA, Vose GE, Wandrag E, Wingler A, Buckley YM. PHENOTYPIC PLASTICITY MASKS RANGE-WIDE GENETIC DIFFERENTIATION FOR VEGETATIVE BUT NOT REPRODUCTIVE TRAITS IN A SHORT-LIVED PLANT. Ecol Lett 2021; 24:2378-2393. [PMID: 34355467 DOI: 10.1111/ele.13858] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 05/13/2021] [Accepted: 05/19/2021] [Indexed: 12/12/2022]
Abstract
Genetic differentiation and phenotypic plasticity jointly shape intraspecific trait variation, but their roles differ among traits. In short-lived plants, reproductive traits may be more genetically determined due to their impact on fitness, whereas vegetative traits may show higher plasticity to buffer short-term perturbations. Combining a multi-treatment greenhouse experiment with observational field data throughout the range of a widespread short-lived herb, Plantago lanceolata, we (1) disentangled genetic and plastic responses of functional traits to a set of environmental drivers and (2) assessed how genetic differentiation and plasticity shape observational trait-environment relationships. Reproductive traits showed distinct genetic differentiation that largely determined observational patterns, but only when correcting traits for differences in biomass. Vegetative traits showed higher plasticity and opposite genetic and plastic responses, masking the genetic component underlying field-observed trait variation. Our study suggests that genetic differentiation may be inferred from observational data only for the traits most closely related to fitness.
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Affiliation(s)
- Jesus Villellas
- Departamento de Biodiversidad, Ecología y Evolución, Universidad Complutense de Madrid, Madrid, Spain.,School of Natural Sciences, Zoology, Trinity College Dublin, Dublin, Ireland
| | - Johan Ehrlén
- Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden
| | - Elizabeth E Crone
- Department of Biology, Tufts University, Medford, Massachusetts, USA
| | - Anna Mária Csergő
- School of Natural Sciences, Zoology, Trinity College Dublin, Dublin, Ireland.,Department of Botany and Soroksár Botanical Garden, Szent István University, Budapest, Hungary
| | - Maria B Garcia
- Department of Biodiversity Conservation and Ecosystem Restoration, Pyrenean Institute of Ecology (CSIC), Zaragoza, Spain
| | - Anna-Liisa Laine
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.,Organismal & Evolutionary Biology Research Program, Faculty of Biological & Environmental Sciences, University of Helsinki, Helsinki, Finland
| | - Deborah A Roach
- Department of Biology, University of Virginia, Charlottesville, Virginia, USA
| | - Roberto Salguero-Gómez
- Department of Zoology, University of Oxford, Oxford, UK.,Max Planck Institute for Demographic Research, Rostock, Germany.,School of Biological Sciences, The University of Queensland, St Lucia, Queensland, Australia
| | - Glenda M Wardle
- School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Dylan Z Childs
- Department of Animal and Plant Sciences, University of Sheffield, Sheffield, UK
| | - Bret D Elderd
- Department of Biological Sciences, Louisiana State University, Baton Rouge, Louisiana, USA
| | - Alain Finn
- School of Natural Sciences, Zoology, Trinity College Dublin, Dublin, Ireland
| | - Sergi Munné-Bosch
- Department of Evolutionary Biology, Ecology and Environmental Sciences, Faculty of Biology, University of Barcelona, Barcelona, Spain.,Institut de Recerca de la Biodiversitat, Universitat de Barcelona, Barcelona, Spain
| | - Benedicte Bachelot
- Department of Plant Biology, Ecology and Evolution, Oklahoma State University, Stillwater, Oklahoma, USA
| | - Judit Bódis
- Department of Plant Sciences and Biotechnology, Georgikon Faculty, University of Pannonia, Keszthely, Hungary
| | - Anna Bucharova
- Biodiversity and Ecosystem Research Group, Institut of Landscape Ecology, University of Münster, Germany.,Plant Evolutionary Ecology, Institut of Evolution and Ecology, University of Tübingen, Tübingen, Germany
| | - Christina M Caruso
- Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada
| | - Jane A Catford
- Department of Geography, King's College London, London, UK.,Biological Sciences, University of Southampton, Southampton, UK
| | - Matthew Coghill
- Department of Natural Resource Sciences, Thompson Rivers University, Kamloops, British Columbia, Canada
| | - Aldo Compagnoni
- Institute of Biology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Richard P Duncan
- Institute for Applied Ecology, University of Canberra, Canberra, Australian Capital Territory, Australia
| | - John M Dwyer
- School of Biological Sciences, The University of Queensland, St Lucia, Queensland, Australia.,CSIRO Land & Water, EcoSciences Precinct, Dutton Park, Queensland, Australia
| | | | - Lauchlan H Fraser
- Department of Natural Resource Sciences, Thompson Rivers University, Kamloops, British Columbia, Canada
| | | | | | - Liv Norunn Hamre
- Department of Environmental Sciences, Western Norway University of Applied Sciences, Sogndal, Norway
| | - Aveliina Helm
- Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia
| | - Ruth Kelly
- School of Natural Sciences, Zoology, Trinity College Dublin, Dublin, Ireland.,Agri-Food and Biosciences Institute, Belfast, Northern Ireland, UK
| | - Lauri Laanisto
- Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Tartu, Estonia
| | - Michele Lonati
- Department of Agriculture, Forest and Food Science, University of Torino, Grugliasco, Italy
| | - Zuzana Münzbergová
- Department of Botany, Faculty of Science, Charles University, Prague, Czech Republic.,Department of Population Ecology, Institute of Botany, Czech Academy of Sciences, Prague, Czech Republic
| | - Paloma Nuche
- School of Natural Sciences, Zoology, Trinity College Dublin, Dublin, Ireland
| | | | - Adrian Oprea
- Botanic Garden "Anastasie Fatu", University "Alexandru Ioan Cuza" Iaşi, Romania
| | - Meelis Pärtel
- Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia
| | - William K Petry
- Department of Plant & Microbial Biology, North Carolina State University, Raleigh, North Carolina, USA
| | - Satu Ramula
- Department of Biology, University of Turku, Turku, Finland
| | - Pil U Rasmussen
- Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden.,The National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Simone Ravetto Enri
- Department of Agriculture, Forest and Food Science, University of Torino, Grugliasco, Italy
| | - Anna Roeder
- Department of Physiological Diversity, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany.,German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| | - Christiane Roscher
- Department of Physiological Diversity, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany.,German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| | - Cheryl Schultz
- School of Biological Sciences, Washington State University, Vancouver, Washington, USA
| | - Olav Skarpaas
- Natural History Museum, University of Oslo, Oslo, Norway
| | - Annabel L Smith
- School of Natural Sciences, Zoology, Trinity College Dublin, Dublin, Ireland.,School of Agriculture and Food Sciences, University of Queensland, Gatton, Queensland, Australia
| | - Ayco J M Tack
- Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden
| | | | - Peter A Vesk
- School of BioSciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Gregory E Vose
- Department of Ecology and Evolutionary Biology, University of California, Irvine, California, USA
| | - Elizabeth Wandrag
- Institute for Applied Ecology, University of Canberra, Canberra, Australian Capital Territory, Australia.,Department of Biology, University of York, York, UK
| | - Astrid Wingler
- School of Biological, Earth & Environmental Sciences and Environmental Research Institute, University College Cork, Cork, Ireland
| | - Yvonne M Buckley
- School of Natural Sciences, Zoology, Trinity College Dublin, Dublin, Ireland.,School of Biological Sciences, The University of Queensland, St Lucia, Queensland, Australia
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12
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Williams NF, McRae L, Freeman R, Capdevila P, Clements CF. Scaling the extinction vortex: Body size as a predictor of population dynamics close to extinction events. Ecol Evol 2021; 11:7069-7079. [PMID: 34141276 PMCID: PMC8207159 DOI: 10.1002/ece3.7555] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 03/18/2021] [Accepted: 03/23/2021] [Indexed: 11/25/2022] Open
Abstract
Mutual reinforcement between abiotic and biotic factors can drive small populations into a catastrophic downward spiral to extinction-a process known as the "extinction vortex." However, empirical studies investigating extinction dynamics in relation to species' traits have been lacking.We assembled a database of 35 vertebrate populations monitored to extirpation over a period of at least ten years, represented by 32 different species, including 25 birds, five mammals, and two reptiles. We supplemented these population time series with species-specific mean adult body size to investigate whether this key intrinsic trait affects the dynamics of populations declining toward extinction.We performed three analyses to quantify the effects of adult body size on three characteristics of population dynamics: time to extinction, population growth rate, and residual variability in population growth rate.Our results provide support for the existence of extinction vortex dynamics in extirpated populations. We show that populations typically decline nonlinearly to extinction, while both the rate of population decline and variability in population growth rate increase as extinction is approached. Our results also suggest that smaller-bodied species are particularly prone to the extinction vortex, with larger increases in rates of population decline and population growth rate variability when compared to larger-bodied species.Our results reaffirm and extend our understanding of extinction dynamics in real-life extirpated populations. In particular, we suggest that smaller-bodied species may be at greater risk of rapid collapse to extinction than larger-bodied species, and thus, management of smaller-bodied species should focus on maintaining higher population abundances as a priority.
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Affiliation(s)
| | - Louise McRae
- Institute of ZoologyZoological Society of LondonLondonUK
| | - Robin Freeman
- Institute of ZoologyZoological Society of LondonLondonUK
| | - Pol Capdevila
- School of Biological SciencesUniversity of BristolBristolUK
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13
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Rodríguez‐Caro RC, Capdevila P, Graciá E, Barbosa JM, Giménez A, Salguero‐Gómez R. The limits of demographic buffering in coping with environmental variation. OIKOS 2021. [DOI: 10.1111/oik.08343] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Affiliation(s)
- Roberto C. Rodríguez‐Caro
- Depto de Biología Aplicada, Univ. Miguel Hernández Elche Alicante Spain
- Dept of Zoology, Oxford Univ. Oxford UK
| | - Pol Capdevila
- Dept of Zoology, Oxford Univ. Oxford UK
- School of Biological Sciences, Univ. of Bristol Bristol UK
| | - Eva Graciá
- Depto de Biología Aplicada, Univ. Miguel Hernández Elche Alicante Spain
- Centro de Investigación e Innovación Agroalimentaria y Agroambiental (CIAGRO‐UMH), Univ. Miguel Hernández Spain
| | - Jomar M. Barbosa
- Depto de Biología Aplicada, Univ. Miguel Hernández Elche Alicante Spain
- Dept of Conservation Biology, Estación Biológica de Doñana, C.S.I.C. Seville Spain
| | - Andrés Giménez
- Depto de Biología Aplicada, Univ. Miguel Hernández Elche Alicante Spain
- Centro de Investigación e Innovación Agroalimentaria y Agroambiental (CIAGRO‐UMH), Univ. Miguel Hernández Spain
| | - Rob Salguero‐Gómez
- Dept of Zoology, Oxford Univ. Oxford UK
- Centre for Biodiversity and Conservation Science, Univ. of Queensland St Lucia QLD Australia
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14
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Domínguez Lozano F, Zurdo Jorda J, Sánchez de Dios R. The role of demography and grazing in the patterns of endangerment of threatened plants. Glob Ecol Conserv 2020. [DOI: 10.1016/j.gecco.2020.e01151] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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15
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Capdevila P, Beger M, Blomberg SP, Hereu B, Linares C, Salguero‐Gómez R. Longevity, body dimension and reproductive mode drive differences in aquatic versus terrestrial life‐history strategies. Funct Ecol 2020. [DOI: 10.1111/1365-2435.13604] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Pol Capdevila
- Department of Zoology Oxford University Oxford UK
- Departament de Biologia Evolutiva Ecologia i Ciències Ambientals and Institut de Recerca de la Biodiversitat (IRBIO) Universitat de Barcelona Barcelona Spain
| | - Maria Beger
- School of Biology Faculty of Biological Sciences University of Leeds Leeds UK
- Centre for Biodiversity and Conservation Science School of Biological Sciences The University of Queensland Brisbane QLD Australia
| | - Simone P. Blomberg
- School of Biological Sciences The University of Queensland Brisbane QLD Australia
| | - Bernat Hereu
- Departament de Biologia Evolutiva Ecologia i Ciències Ambientals and Institut de Recerca de la Biodiversitat (IRBIO) Universitat de Barcelona Barcelona Spain
| | - Cristina Linares
- Departament de Biologia Evolutiva Ecologia i Ciències Ambientals and Institut de Recerca de la Biodiversitat (IRBIO) Universitat de Barcelona Barcelona Spain
| | - Roberto Salguero‐Gómez
- Department of Zoology Oxford University Oxford UK
- Centre for Biodiversity and Conservation Science School of Biological Sciences The University of Queensland Brisbane QLD Australia
- Evolutionary Demography Laboratory Max Planck Institute for Demographic Research Rostock Germany
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16
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Towards a Comparative Framework of Demographic Resilience. Trends Ecol Evol 2020; 35:776-786. [PMID: 32482368 DOI: 10.1016/j.tree.2020.05.001] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 04/28/2020] [Accepted: 05/01/2020] [Indexed: 11/23/2022]
Abstract
In the current global biodiversity crisis, the development of tools to define, quantify, compare, and predict resilience is essential for understanding the responses of species to global change. However, disparate interpretations of resilience have hampered the development of a common currency to quantify and compare resilience across natural systems. Most resilience frameworks focus on upper levels of biological organization, especially ecosystems or communities, which complicates measurements of resilience using empirical data. Surprisingly, there is no quantifiable definition of resilience at the demographic level. We introduce a framework of demographic resilience that draws on existing concepts from community and population ecology, as well as an accompanying set of metrics that are comparable across species.
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17
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The Demographic Buffering Hypothesis: Evidence and Challenges. Trends Ecol Evol 2020; 35:523-538. [PMID: 32396819 DOI: 10.1016/j.tree.2020.02.004] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2019] [Revised: 01/27/2020] [Accepted: 02/06/2020] [Indexed: 11/20/2022]
Abstract
In (st)age-structured populations, the long-run population growth rate is negatively affected by temporal variation in vital rates. In most cases, natural selection should minimize temporal variation in the vital rates to which the long-run population growth is most sensitive, resulting in demographic buffering. By reviewing empirical studies on demographic buffering in wild populations, we found overall support for this hypothesis. However, we also identified issues when testing for demographic buffering. In particular, solving scaling problems for decomposing, measuring, and comparing stochastic variation in vital rates and accounting for density dependence are required in future tests of demographic buffering. In the current context of climate change, demographic buffering may mitigate the negative impact of environmental variation and help populations to persist in an increasingly variable environment.
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18
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Smallegange IM, Berg MP. A functional trait approach to identifying life history patterns in stochastic environments. Ecol Evol 2019; 9:9350-9361. [PMID: 31463026 PMCID: PMC6706206 DOI: 10.1002/ece3.5485] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Revised: 07/04/2019] [Accepted: 07/05/2019] [Indexed: 11/18/2022] Open
Abstract
Temporal variation in demographic processes can greatly impact population dynamics. Perturbations of statistical coefficients that describe demographic rates within matrix models have, for example, revealed that stochastic population growth rates (log(λ s)) of fast life histories are more sensitive to temporal autocorrelation of environmental conditions than those of slow life histories. Yet, we know little about the mechanisms that drive such patterns. Here, we used a mechanistic, functional trait approach to examine the functional pathways by which a typical fast life history species, the macrodetrivore Orchestia gammarellus, and a typical slow life history species, the reef manta ray Manta alfredi, differ in their sensitivity to environmental autocorrelation if (a) growth and reproduction are described mechanistically by functional traits that adhere to the principle of energy conservation, and if (b) demographic variation is determined by temporal autocorrelation in food conditions. Opposite to previous findings, we found that O. gammarellus log(λ s) was most sensitive to the frequency of good food conditions, likely because reproduction traits, which directly impact population growth, were most influential to log(λ s). Manta alfredi log(λs ) was instead most sensitive to temporal autocorrelation, likely because growth parameters, which impact population growth indirectly, were most influential to log(λ s). This differential sensitivity to functional traits likely also explains why we found that O. gammarellus mean body size decreased (due to increased reproduction) but M. alfredi mean body size increased (due to increased individual growth) as food conditions became more favorable. Increasing demographic stochasticity under constant food conditions decreased O. gammarellus mean body size and increased log(λ s) due to increased reproduction, whereas M. alfredi mean body and log(λ s) decreased, likely due to decreased individual growth. Our findings signify the importance of integrating functional traits into demographic models as this provides mechanistic understanding of how environmental and demographic stochasticity affects population dynamics in stochastic environments.
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Affiliation(s)
- Isabel M. Smallegange
- Institute for Biodiversity and Ecosystem Dynamics (IBED)University of AmsterdamAmsterdamThe Netherlands
| | - Matty P. Berg
- Department of Ecological Science, Section of Animal EcologyVrije UniversiteitAmsterdamThe Netherlands
- Groningen Institute for Evolutionary Life Sciences, Community and Conservation Ecology GroupRijksuniversiteit GroningenGroningenThe Netherlands
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19
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Tredennick AT, Teller B, Adler PB, Hooker G, Ellner SP. Size‐by‐environment interactions: a neglected dimension of species' responses to environmental variation. Ecol Lett 2018; 21:1757-1770. [DOI: 10.1111/ele.13154] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Revised: 08/11/2018] [Accepted: 08/16/2018] [Indexed: 01/21/2023]
Affiliation(s)
- Andrew T. Tredennick
- Department of Wildland Resources and the Ecology Center Utah State University Logan UT USA
| | - Brittany J. Teller
- Department of Biology Pennsylvania State University University Park PA USA
| | - Peter B. Adler
- Department of Wildland Resources and the Ecology Center Utah State University Logan UT USA
| | - Giles Hooker
- Department of Biological Statistics and Computational Biology Cornell University Ithaca NY USA
| | - Stephen P. Ellner
- Department of Ecology and Evolutionary Biology Cornell University Ithaca NY USA
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20
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Maldonado-Chaparro AA, Blumstein DT, Armitage KB, Childs DZ. Transient LTRE analysis reveals the demographic and trait-mediated processes that buffer population growth. Ecol Lett 2018; 21:1693-1703. [PMID: 30252195 PMCID: PMC6849557 DOI: 10.1111/ele.13148] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Accepted: 07/29/2018] [Indexed: 02/03/2023]
Abstract
Temporal variation in environmental conditions affects population growth directly via its impact on vital rates, and indirectly through induced variation in demographic structure and phenotypic trait distributions. We currently know very little about how these processes jointly mediate population responses to their environment. To address this gap, we develop a general transient life table response experiment (LTRE) which partitions the contributions to population growth arising from variation in (1) survival and reproduction, (2) demographic structure, (3) trait values and (4) climatic drivers. We apply the LTRE to a population of yellow‐bellied marmots (Marmota flaviventer) to demonstrate the impact of demographic and trait‐mediated processes. Our analysis provides a new perspective on demographic buffering, which may be a more subtle phenomena than is currently assumed. The new LTRE framework presents opportunities to improve our understanding of how trait variation influences population dynamics and adaptation in stochastic environments.
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Affiliation(s)
- Adriana A Maldonado-Chaparro
- Department of Ecology and Evolutionary Biology, University of California, 621 Charles E. Young Drive South, Los Angeles, CA, 90095-1606, USA.,Department of Collective Behaviour, Max Planck Institute for Ornithology, Am Obstberg 1, Konstanz, 78315, Germany.,Department of Biology, University of Konstanz, Universitätstraße 10, Konstanz, 78464, Germany
| | - Daniel T Blumstein
- Department of Ecology and Evolutionary Biology, University of California, 621 Charles E. Young Drive South, Los Angeles, CA, 90095-1606, USA.,Rocky Mountain Biological Laboratory, Box 519, Crested Butte, CO, 81224, USA
| | - Kenneth B Armitage
- Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS, 66045, USA
| | - Dylan Z Childs
- Department of Animal and Plant Sciences, University of Sheffield, Western Bank, Sheffield, S10 2TN, UK
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21
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Ergon T, Borgan Ø, Nater CR, Vindenes Y. The utility of mortality hazard rates in population analyses. Methods Ecol Evol 2018. [DOI: 10.1111/2041-210x.13059] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Torbjørn Ergon
- Department of BiosciencesCentre for Ecological and Evolutionary SynthesisUniversity of Oslo Oslo Norway
| | - Ørnulf Borgan
- Department of MathematicsUniversity of Oslo Oslo Norway
| | - Chloé Rebecca Nater
- Department of BiosciencesCentre for Ecological and Evolutionary SynthesisUniversity of Oslo Oslo Norway
| | - Yngvild Vindenes
- Department of BiosciencesCentre for Ecological and Evolutionary SynthesisUniversity of Oslo Oslo Norway
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22
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Montero-Serra I, Linares C, Doak DF, Ledoux JB, Garrabou J. Strong linkages between depth, longevity and demographic stability across marine sessile species. Proc Biol Sci 2018; 285:rspb.2017.2688. [PMID: 29491172 DOI: 10.1098/rspb.2017.2688] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Accepted: 02/01/2018] [Indexed: 11/12/2022] Open
Abstract
Understanding the role of the environment in shaping the evolution of life histories remains a major challenge in ecology and evolution. We synthesize longevity patterns of marine sessile species and find strong positive relationships between depth and maximum lifespan across multiple sessile marine taxa, including corals, bivalves, sponges and macroalgae. Using long-term demographic data on marine sessile and terrestrial plant species, we show that extreme longevity leads to strongly dampened population dynamics. We also used detailed analyses of Mediterranean red coral, with a maximum lifespan of 532 years, to explore the life-history patterns of long-lived taxa and the vulnerability to external mortality sources that these characteristics can create. Depth-related environmental gradients-including light, food availability, temperature and disturbance intensity-drive highly predictable distributions of life histories that, in turn, have predictable ecological consequences for the dynamics of natural populations.
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Affiliation(s)
- I Montero-Serra
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Institut de Recerca de la Biodiversitat (IRBIO), Universitat de Barcelona, Avinguda Diagonal 643, 08028 Barcelona, Spain
| | - C Linares
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Institut de Recerca de la Biodiversitat (IRBIO), Universitat de Barcelona, Avinguda Diagonal 643, 08028 Barcelona, Spain
| | - D F Doak
- Environmental Studies Program, University of Colorado, Boulder, CO 80309, USA
| | - J B Ledoux
- Institut de Ciències del Mar, CSIC, Passeig Marítim de la Barceloneta 37-49, 08003 Barcelona, Spain.,CIIMAR/CIMAR, Centro Interdisciplinar de Investigação Marinha e Ambiental, Universidade do Porto, Porto, Portugal
| | - J Garrabou
- Institut de Ciències del Mar, CSIC, Passeig Marítim de la Barceloneta 37-49, 08003 Barcelona, Spain.,Aix-Marseille University, Mediterranean Institute of Oceanography (MIO), Université de Toulon, CNRS/IRD, Marseille, France
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23
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Paniw M, Ozgul A, Salguero‐Gómez R. Interactive life‐history traits predict sensitivity of plants and animals to temporal autocorrelation. Ecol Lett 2017; 21:275-286. [DOI: 10.1111/ele.12892] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2017] [Revised: 10/04/2017] [Accepted: 11/09/2017] [Indexed: 02/03/2023]
Affiliation(s)
- Maria Paniw
- Department of Evolutionary Biology and Environmental Studies University of Zurich Zurich8057 Switzerland
- Department Biology University of Cadiz Puerto Real 11510 Spain
| | - Arpat Ozgul
- Department of Evolutionary Biology and Environmental Studies University of Zurich Zurich8057 Switzerland
| | - Roberto Salguero‐Gómez
- Department of Zoology Oxford University New Radcliffe House Radcliffe Observatory Quarter Woodstock Rd OxfordOX2 6GGUK
- Department of Animal & Plant Sciences University of Sheffield Alfred Denny Building, Western Bank SheffieldS10 2TN UK
- Centre for Biodiversity and Conservation Science University of Queensland St Lucia4071 Qld. Australia
- Evolutionary Demography Laboratory Max Plank Institute for Demographic Research Rostock18057 Germany
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