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Bliard L, Paniw M, Childs DZ, Ozgul A. Population Dynamic Consequences of Context-Dependent Trade-Offs across Life Histories. Am Nat 2024; 203:681-694. [PMID: 38781530 DOI: 10.1086/730111] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/25/2024]
Abstract
AbstractTrade-offs are central to life history theory and play a role in driving life history diversity. They arise from a finite amount of resources that need to be allocated among different functions by an organism. Yet covariation of demographic rates among individuals frequently do not reflect allocation trade-offs because of variation in resource acquisition. The covariation of traits among individuals can thus vary with the environment and often increases in benign environments. Surprisingly, little is known about how such context-dependent expression of trade-offs among individuals affect population dynamics across species with different life histories. To study their influence on population stability, we develop an individual-based simulation where covariation in demographic rates varies with the environment. We use it to simulate population dynamics for various life histories across the slow-fast pace-of-life continuum. We found that the population dynamics of slower life histories are relatively more sensitive to changes in covariation, regardless of the trade-off considered. Additionally, we found that the impact on population stability depends on which trade-off is considered, with opposite effects of intraindividual and intergenerational trade-offs. Last, the expression of different trade-offs can feed back to influence generation time through selection acting on individual heterogeneity within cohorts, ultimately affecting population dynamics.
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2
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Gesquiere LR, Adjangba C, Wango TL, Oudu VK, Mututua RS, Warutere JK, Siodi IL, Campos FA, Archie EA, Markham AC, Alberts SC. Thyroid hormone concentrations in female baboons: Metabolic consequences of living in a highly seasonal environment. Horm Behav 2024; 161:105505. [PMID: 38364455 PMCID: PMC11218546 DOI: 10.1016/j.yhbeh.2024.105505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 02/06/2024] [Accepted: 02/07/2024] [Indexed: 02/18/2024]
Abstract
How female mammals adapt metabolically in response to environmental variation remains understudied in the wild, because direct measures of metabolic activity are difficult to obtain in wild populations. However, recent advances in the non-invasive measurement of fecal thyroid hormones, triiodothyronine (T3), an important regulator of metabolism, provide an opportunity to understand how female baboons living in the harsh Amboseli ecosystem in southern Kenya adapt to environmental variability and escape strict reproductive seasonality. Specifically, we assessed how a female's activity budget, diet, and concentrations of fecal T3 metabolites (mT3) changed over the course of the year and between years. We then tested which of several environmental variables (season, rainfall, and temperature) and behavioral variables (female activity budget and diet) best predicted mT3 concentrations. Finally, we determined if two important reproductive events - onset of ovarian cycling and conception of an offspring - were preceded by changes in female mT3 concentrations. We found female baboons' mT3 concentrations varied markedly across the year and between years as a function of environmental conditions. Further, changes in a female's behavior and diet only partially mediated the metabolic response to the environment. Finally, mT3 concentrations increased in the weeks prior to menarche and cycling resumption, regardless of the month or season in which cycling started. This pattern indicates that metabolic activation may be an indicator of reproductive readiness in female baboons as their energy balance is restored.
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Affiliation(s)
| | | | - Tim L Wango
- Amboseli Baboon Research Project, PO Box 72211-0020, Nairobi, Kenya; Department of Veterinary Anatomy and Physiology, University of Nairobi, P.O. Box 30197-00100, Nairobi, Kenya
| | - Vivian K Oudu
- Amboseli Baboon Research Project, PO Box 72211-0020, Nairobi, Kenya; Department of Veterinary Anatomy and Physiology, University of Nairobi, P.O. Box 30197-00100, Nairobi, Kenya
| | | | | | - I Long'ida Siodi
- Amboseli Baboon Research Project, PO Box 72211-0020, Nairobi, Kenya
| | - Fernando A Campos
- Department of Anthropology, University of Texas at San Antonio, San Antonio, TX 78249, USA
| | - Elizabeth A Archie
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556, USA
| | - A Catherine Markham
- Department of Anthropology, Stony Brook University, Stony Brook, NY 11794, USA
| | - Susan C Alberts
- Department of Biology, Duke University, Durham, NC 27708, USA; Department of Evolutionary Anthropology, Duke University, Durham, NC 27708, USA
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3
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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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4
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Godoy I, Korsten P, Perry SE. Mother of all bonds: Influences on spatial association across the lifespan in capuchins. Dev Sci 2024:e13486. [PMID: 38414216 DOI: 10.1111/desc.13486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 12/22/2023] [Accepted: 01/08/2024] [Indexed: 02/29/2024]
Abstract
In humans, being more socially integrated is associated with better physical and mental health and/or with lower mortality. This link between sociality and health may have ancient roots: sociality also predicts survival or reproduction in other mammals, such as rats, dolphins, and non-human primates. A key question, therefore, is which factors influence the degree of sociality over the life course. Longitudinal data can provide valuable insight into how environmental variability drives individual differences in sociality and associated outcomes. The first year of life-when long-lived mammals are the most reliant on others for nourishment and protection-is likely to play an important role in how individuals learn to integrate into groups. Using behavioral, demographic, and pedigree information on 376 wild capuchin monkeys (Cebus imitator) across 20 years, we address how changes in group composition influence spatial association. We further try to determine the extent to which early maternal social environments have downstream effects on sociality across the juvenile and (sub)adult stages. We find a positive effect of early maternal spatial association, where female infants whose mothers spent more time around others also later spent more time around others as juveniles and subadults. Our results also highlight the importance of kin availability and other aspects of group composition (e.g., group size) in dynamically influencing spatial association across developmental stages. We bring attention to the importance of-and difficulty in-determining the social versus genetic influences that parents have on offspring phenotypes. RESEARCH HIGHLIGHTS: Having more maternal kin (mother and siblings) is associated with spending more time near others across developmental stages in both male and female capuchins. Having more offspring as a subadult or adult female is additionally associated with spending more time near others. A mother's average sociality (time near others) is predictive of how social her daughters (but not sons) become as juveniles and subadults (a between-mother effect). Additional variation within sibling sets in this same maternal phenotype is not predictive of how social they become later relative to each other (no within-mother effect).
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Affiliation(s)
- Irene Godoy
- Department of Animal Behaviour, Bielefeld University, Bielefeld, Germany
- Lomas Barbudal Monkey Project, Lomas Barbudal Biological Reserve, Guanacaste, Costa Rica
| | - Peter Korsten
- Department of Life Sciences, Aberystwyth University, Aberystwyth, UK
| | - Susan E Perry
- Lomas Barbudal Monkey Project, Lomas Barbudal Biological Reserve, Guanacaste, Costa Rica
- Department of Anthropology, University of California, Los Angeles, California, USA
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5
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de Oliveira JV, Vasquez VL, Beltrão-Mendes R, Pinto MP. Climate change effects on the distribution of yellow-breasted capuchin monkey (Sapajus xanthosternos (Wied-Neuwied, 1826)). Am J Primatol 2023; 85:e23557. [PMID: 37812044 DOI: 10.1002/ajp.23557] [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: 03/19/2023] [Revised: 09/18/2023] [Accepted: 09/22/2023] [Indexed: 10/10/2023]
Abstract
The magnitude of recent climatic changes has no historical precedent and impacts biodiversity. Climatic changes may displace suitable habitats (areas with suitable climates), leading to global biodiversity decline. Primates are among the most affected groups. Most primates depend on forests and contribute to their maintenance. We evaluated the potential effects of climatic change on the distribution of Sapajus xanthosternos, a critically endangered primate whose geographical range encompasses three Brazilian biomes. We evaluated changes between baseline (1970-2000) and future (2081-2100) climates using multivariate analysis. Then, we compared current and future (2100) climatic suitability projections for the species. The climatic changes predicted throughout the S. xanthosternos range differed mostly longitudinally, with higher temperature increases in the west and higher precipitation reductions in the east. Climatic suitability for S. xanthosternos is predicted to decline in the future. Areas with highest current climatic suitability occur as a narrow strip in the eastern part of the geographic range throughout the latitudinal range. In the future, areas with highest values are projected to be located as an even narrower strip in the eastern part of the geographical range. A small portion of forest remnants larger than 150 ha located in the east has larger current and future suitability values. At this large scale, the spatial heterogeneity of the climate effects reinforce the importance of maintenance of current populations in different areas of the range. The possibility that phenotypic plasticity helps primates cope with reduced climatic suitability may be mediated by habitat availability, quality, and connectivity.
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Affiliation(s)
- Jéssica Vargas de Oliveira
- Programa de Pós-Graduação em Ecologia, Universidade Federal do Rio Grande do Norte (UFRN), Natal, Rio Grande do Norte, Brazil
| | - Vagner Lacerda Vasquez
- Programa de Pós-Graduação em Ecologia, Universidade Federal do Rio Grande do Norte (UFRN), Natal, Rio Grande do Norte, Brazil
| | - Raone Beltrão-Mendes
- Programa de Pós-Graduação em Ecologia e Conservação, Universidade Federal de Sergipe (UFS), São Cristóvão, Brazil
| | - Míriam Plaza Pinto
- Programa de Pós-Graduação em Ecologia, Universidade Federal do Rio Grande do Norte (UFRN), Natal, Rio Grande do Norte, Brazil
- Departamento de Ecologia, Centro de Biociências, Universidade Federal do Rio Grande do Norte (UFRN), Natal, Rio Grande do Norte, Brazil
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Abstract
Large brains provide adaptive cognitive benefits but require unusually high, near-constant energy inputs and become fully functional well after their growth is completed. Consequently, young of most larger-brained endotherms should not be able to independently support the growth and development of their own brains. This paradox is solved if the evolution of extended parental provisioning facilitated brain size evolution. Comparative studies indeed show that extended parental provisioning coevolved with brain size and that it may improve immature survival. The major role of extended parental provisioning supports the idea that the ability to sustain the costs of brains limited brain size evolution.
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Morrison RE, Hirwa JP, Ndagijimana F, Vecellio V, Eckardt W, Stoinski TS. Cascading effects of social dynamics on the reproduction, survival, and population growth of mountain gorillas. Anim Conserv 2022. [DOI: 10.1111/acv.12830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- R. E. Morrison
- Dian Fossey Gorilla Fund, Ellen DeGeneres Campus of the Dian Fossey Gorilla Fund Kinigi Rwanda
- Centre for Research in Animal Behaviour, Department of Psychology University of Exeter Exeter UK
| | - J. P. Hirwa
- Dian Fossey Gorilla Fund, Ellen DeGeneres Campus of the Dian Fossey Gorilla Fund Kinigi Rwanda
| | - F. Ndagijimana
- Dian Fossey Gorilla Fund, Ellen DeGeneres Campus of the Dian Fossey Gorilla Fund Kinigi Rwanda
| | - V. Vecellio
- Dian Fossey Gorilla Fund, Ellen DeGeneres Campus of the Dian Fossey Gorilla Fund Kinigi Rwanda
| | - W. Eckardt
- Dian Fossey Gorilla Fund, Ellen DeGeneres Campus of the Dian Fossey Gorilla Fund Kinigi Rwanda
| | - T. S. Stoinski
- Dian Fossey Gorilla Fund, Ellen DeGeneres Campus of the Dian Fossey Gorilla Fund Kinigi Rwanda
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Liu G, Lu X, Liu Z, Xie Z, Qi X, Zhou J, Hong X, Mo Y, Chan BPL, Chapman CA, Jiang Z. The Critically Endangered Hainan Gibbon (Nomascus hainanus) Population Increases but not at the Maximum Possible Rate. INT J PRIMATOL 2022. [DOI: 10.1007/s10764-022-00309-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
AbstractWith the ongoing global biodiversity crisis in the Anthropocene, it is critical to understand how to save endangered species to “bend the curve” of biodiversity decline. The Hainan gibbon (Nomascus hainanus) is a Critically Endangered species that is endemic to Hainan Island. We performed two synchronized total count surveys in Hainan Tropic Rain Forest National Park in November and December of 2020 and 2021 by locating gibbon groups from their morning calls and conducting detailed counts in all potential habitat fragments. We compared our findings with existing data to model the population trend, and analyzed the potential and realized reproductive potentials. We found 5 groups with a total of 33 gibbons in 2020 and 35 in 2021, including 4 and 6 solitary individuals respectively. This is an increase of 169% since 2003, when there were 13 individuals with 2 groups and 2 solitary individuals. Logistic and linear curves fitted the 2003-2021 population census data equally well. Although the population is growing, it has not realized its full reproductive potential (when all adult females give births at 24-month intervals), suggesting that external factors like available habitat, as well as nutritional, physiological, and behavioral factors may be limiting the population. The gibbon’s recovery demonstrates that establishing a nature reserve with regular patrols, banning logging, curbing poaching, and environmental education have been effective. Because the Hainan gibbon population is still extremely small, carefully planned conservation actions, including an ambitious forest restoration program, will be needed to ensure the species’ continued survival.
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Kappeler PM, Pethig L, Prox L, Fichtel C. Reproductive Senescence in Two Lemur Lineages. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.894344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The relationship between age and reproductive performance is highly variable across species. Humans and some cetaceans exhibit an extreme form of reproductive senescence in that female reproduction ceases years or even decades before average life expectancy is reached. However, neither the existence of reproductive senescence in some taxa nor its absence in others is fully understood. Comparative data from other long-lived mammals may contribute to a more comprehensive understanding of the evolution of menopause, but data from wild primates, in particular, are scarce. We therefore investigated age-related female reproductive performance in two wild sympatric populations of Malagasy primates: Verreaux’s sifakas (Propithecus verreauxi) and redfronted lemurs (Eulemur rufifrons), which have a maximal longevity of more than 20 years. Based on 25 years of long-term demographic data, we extracted information on reproductive output of 38 female Verreaux’s sifakas and 42 female redfronted lemurs. We modeled variation in female reproductive performance and interbirth intervals as a function of age, the number of adult females within a group to account for female competition, and rainfall as a proxy for annual variation in food availability. We also compared our results for these two species with data on captive populations of the same two genera that are buffered from fluctuations in environmental variables. Our analyses disclosed statistical evidence for reproductive senescence in three out of four populations (captive Coquerel’s sifakas, wild redfronted lemurs, and captive red lemurs) but not for wild Verreaux’s sifakas. Compared to wild populations, reproductive senescence was therefore not less pronounced in captive animals, even though the latter are buffered from environmental adversities. In wild redfronted lemurs, mothers were more likely to give birth in years with more rainfall, but neither the number of co-resident females, nor annual rainfall did predict variation in the probability of giving birth in wild Verreaux’s sifakas. Thus, our study contributes valuable comparative information on reproductive senescence in a basal group of primates, and offers insights into the modulating effects of environmental, social and phylogenetic factors on patterns and dynamics of age-specific female reproduction.
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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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11
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Fay R, Hamel S, van de Pol M, Gaillard JM, Yoccoz NG, Acker P, Authier M, Larue B, Le Coeur C, Macdonald KR, Nicol-Harper A, Barbraud C, Bonenfant C, Van Vuren DH, Cam E, Delord K, Gamelon M, Moiron M, Pelletier F, Rotella J, Teplitsky C, Visser ME, Wells CP, Wheelwright NT, Jenouvrier S, Saether BE. Temporal correlations among demographic parameters are ubiquitous but highly variable across species. Ecol Lett 2022; 25:1640-1654. [PMID: 35610546 PMCID: PMC9323452 DOI: 10.1111/ele.14026] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 02/23/2022] [Accepted: 04/12/2022] [Indexed: 02/01/2023]
Abstract
Temporal correlations among demographic parameters can strongly influence population dynamics. Our empirical knowledge, however, is very limited regarding the direction and the magnitude of these correlations and how they vary among demographic parameters and species’ life histories. Here, we use long‐term demographic data from 15 bird and mammal species with contrasting pace of life to quantify correlation patterns among five key demographic parameters: juvenile and adult survival, reproductive probability, reproductive success and productivity. Correlations among demographic parameters were ubiquitous, more frequently positive than negative, but strongly differed across species. Correlations did not markedly change along the slow‐fast continuum of life histories, suggesting that they were more strongly driven by ecological than evolutionary factors. As positive temporal demographic correlations decrease the mean of the long‐run population growth rate, the common practice of ignoring temporal correlations in population models could lead to the underestimation of extinction risks in most species.
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Affiliation(s)
- Rémi Fay
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Sandra Hamel
- Département de biologie, Université Laval, Québec City, QC, Canada
| | - Martijn van de Pol
- College of Science and Engineering, James Cook University, Townsville, Queensland, Australia.,Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, the Netherlands
| | - Jean-Michel Gaillard
- Laboratoire de Biométrie et Biologie Évolutive, CNRS, Unité Mixte de Recherche (UMR) 5558, Université Lyon 1, Université de Lyon, Villeurbanne, France
| | - Nigel G Yoccoz
- Department of Arctic and Marine Biology, UiT The Arctic University of Norway, Tromsø, Norway
| | - Paul Acker
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Matthieu Authier
- Observatoire PELAGIS, UMS-CNRS 3462, Université de la Rochelle, La Rochelle, France
| | - Benjamin Larue
- Département de Biologie, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Christie Le Coeur
- Department of Biosciences, Centre for Ecological and Evolutionary Synthesis (CEES), University of Oslo, Oslo, Norway
| | | | - Alex Nicol-Harper
- School of Ocean and Earth Science, National Oceanography Centre, University of Southampton Waterfront Campus, Southampton, UK.,Biology Department, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA
| | - Christophe Barbraud
- Centre d'Etudes Biologiques de Chizé, LEMAR, UMR 7372, Centre National de la Recherche Scientifique, Villiers en Bois, France
| | - Christophe Bonenfant
- Laboratoire de Biométrie et Biologie Évolutive, CNRS, Unité Mixte de Recherche (UMR) 5558, Université Lyon 1, Université de Lyon, Villeurbanne, France
| | - Dirk H Van Vuren
- Department of Wildlife, Fish, and Conservation Biology, University of California, Davis, California, USA
| | - Emmanuelle Cam
- LEMAR, CNRS, IRD, Ifremer, Université de Bretagne Occidentale, Plouzané, France
| | - Karine Delord
- Centre d'Etudes Biologiques de Chizé, LEMAR, UMR 7372, Centre National de la Recherche Scientifique, Villiers en Bois, France
| | - Marlène Gamelon
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway.,Laboratoire de Biométrie et Biologie Évolutive, CNRS, Unité Mixte de Recherche (UMR) 5558, Université Lyon 1, Université de Lyon, Villeurbanne, France
| | - Maria Moiron
- CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France.,Institute of Avian Research, Wilhelmshaven, Germany
| | - Fanie Pelletier
- Département de Biologie, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Jay Rotella
- Department of Ecology, Montana State University, Bozeman, Montana, USA
| | | | - Marcel E Visser
- Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, the Netherlands
| | - Caitlin P Wells
- Fish, Wildlife and Conservation Biology Department, Colorado State University, Colorado, USA
| | | | - Stéphanie Jenouvrier
- Biology Department, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA.,Centre d'Etudes Biologiques de Chizé, LEMAR, UMR 7372, Centre National de la Recherche Scientifique, Villiers en Bois, France
| | - Bernt-Erik Saether
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
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12
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Sloan ET, Beehner JC, Bergman TJ, Lu A, Snyder‐Mackler N, Jacquemyn H. Effects of climate variability on the demography of wild geladas. Ecol Evol 2022; 12:e8759. [PMID: 35356580 PMCID: PMC8956858 DOI: 10.1002/ece3.8759] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 02/28/2022] [Accepted: 03/04/2022] [Indexed: 11/24/2022] Open
Abstract
Nonhuman primates are an essential part of tropical biodiversity and play key roles in many ecosystem functions, processes, and services. However, the impact of climate variability on nonhuman primates, whether anthropogenic or otherwise, remains poorly understood. In this study, we utilized age‐structured matrix population models to assess the population viability and demographic variability of a population of geladas (Theropithecus gelada) in the Simien Mountains, Ethiopia with the aim of revealing any underlying climatic influences. Using data from 2008 to 2019 we calculated annual, time‐averaged, and stochastic population growth rates (λ) and investigated relationships between vital rate variability and monthly cumulative rainfall and mean temperature. Our results showed that under the prevailing environmental conditions, the population will increase (λs = 1.021). Significant effects from rainfall and/or temperature variability were widely detected across vital rates; only the first year of infant survival and the individual years of juvenile survival were definitively unaffected. Generally, the higher temperature in the hot‐dry season led to lower survival and higher fecundity, while higher rainfall in the hot‐dry season led to increased survival and fecundity. Overall, these results provide evidence of greater effects of climate variability across a wider range of vital rates than those found in previous primate demography studies. This highlights that although primates have often shown substantial resilience to the direct effects of climate change, their vulnerability may vary with habitat type and across populations.
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Affiliation(s)
- Evan T. Sloan
- Plant Conservation and Population Biology Group Department of Biology KU Leuven Leuven Belgium
| | - Jacinta C. Beehner
- Department of Psychology University of Michigan Ann Arbor Michigan USA
- Department of Anthropology University of Michigan Ann Arbor Michigan USA
| | - Thore J. Bergman
- Department of Psychology University of Michigan Ann Arbor Michigan USA
- Department of Ecology and Evolutionary Biology University of Michigan Ann Arbor Michigan USA
| | - Amy Lu
- Department of Anthropology Stony Brook University Stony Brook New York USA
- Interdepartmental Program in Anthropological Sciences Stony Brook University Stony Brook New York USA
| | - Noah Snyder‐Mackler
- School of Life Sciences Arizona State University Tempe Arizona USA
- Center for Evolution and Medicine Arizona State University Tempe Arizona USA
| | - Hans Jacquemyn
- Plant Conservation and Population Biology Group Department of Biology KU Leuven Leuven Belgium
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13
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Jones OR, Barks P, Stott I, James TD, Levin S, Petry WK, Capdevila P, Che‐Castaldo J, Jackson J, Römer G, Schuette C, Thomas CC, Salguero‐Gómez R. Rcompadre and Rage—Two R packages to facilitate the use of the COMPADRE and COMADRE databases and calculation of life‐history traits from matrix population models. Methods Ecol Evol 2022. [DOI: 10.1111/2041-210x.13792] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
| | | | - Iain Stott
- University of Southern Denmark Odense C Denmark
- School of Life Sciences University of Lincoln Lincoln UK
| | - Tamora D. James
- Department of Animal and Plant Sciences University of Sheffield Western Bank Sheffield UK
| | - Sam Levin
- Helmholtz‐Centre for Environmental Research—UFZ Martin Luther University Halle‐Wittenberg Leipzig Germany
| | - William K. Petry
- Department of Plant and Microbial Biology North Carolina State University Raleigh North Carolina USA
| | - Pol Capdevila
- School of Biological Sciences University of Bristol Bristol UK
| | - Judy Che‐Castaldo
- Alexander Center for Applied Population Biology Conservation & Science Department Lincoln Park Zoo Chicago Illinois USA
| | | | - Gesa Römer
- University of Southern Denmark Odense C Denmark
| | - Caroline Schuette
- Alexander Center for Applied Population Biology Conservation & Science Department Lincoln Park Zoo Chicago Illinois USA
| | - Chelsea C. Thomas
- Alexander Center for Applied Population Biology Conservation & Science Department Lincoln Park Zoo Chicago Illinois USA
| | - Roberto Salguero‐Gómez
- Department of Zoology University of Oxford Oxford UK
- Max Planck Institute for Demographic Research Rostock Germany
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14
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Hughes JJ, Berv JS, Chester SGB, Sargis EJ, Field DJ. Ecological selectivity and the evolution of mammalian substrate preference across the K-Pg boundary. Ecol Evol 2021; 11:14540-14554. [PMID: 34765124 PMCID: PMC8571592 DOI: 10.1002/ece3.8114] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 08/16/2021] [Accepted: 08/24/2021] [Indexed: 11/21/2022] Open
Abstract
The Cretaceous-Paleogene (K-Pg) mass extinction 66 million years ago was characterized by a worldwide ecological catastrophe and rapid species turnover. Large-scale devastation of forested environments resulting from the Chicxulub asteroid impact likely influenced the evolutionary trajectories of multiple clades in terrestrial environments, and it has been hypothesized to have biased survivorship in favour of nonarboreal lineages across the K-Pg boundary. Here, we evaluate patterns of substrate preferences across the K-Pg boundary among crown group mammals, a group that underwent rapid diversification following the mass extinction. Using Bayesian, likelihood, and parsimony reconstructions, we identify patterns of mammalian ecological selectivity that are broadly similar to those previously hypothesized for birds. Models based on extant taxa indicate predominant K-Pg survivorship among semi- or nonarboreal taxa, followed by numerous independent transitions to arboreality in the early Cenozoic. However, contrary to the predominant signal, some or all members of total-clade Euarchonta (Primates + Dermoptera + Scandentia) appear to have maintained arboreal habits across the K-Pg boundary, suggesting ecological flexibility during an interval of global habitat instability. We further observe a pronounced shift in character state transitions away from plesiomorphic arboreality associated with the K-Pg transition. Our findings are consistent with the hypothesis that predominantly nonarboreal taxa preferentially survived the end-Cretaceous mass extinction, and emphasize the pivotal influence of the K-Pg transition in shaping the early evolutionary trajectories of extant terrestrial vertebrates.
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Affiliation(s)
- Jonathan J. Hughes
- Department of Ecology & Evolutionary BiologyCornell UniversityIthacaNew YorkUSA
| | - Jacob S. Berv
- Department of Ecology & Evolutionary BiologyCornell UniversityIthacaNew YorkUSA
- Department of Ecology & Evolutionary BiologyUniversity of MichiganAnn ArborMichiganUSA
- University of Michigan Museum of PaleontologyUniversity of MichiganAnn ArborMichiganUSA
| | - Stephen G. B. Chester
- Department of AnthropologyBrooklyn CollegeCity University of New YorkBrooklynNew YorkUSA
- Department of AnthropologyThe Graduate CenterCity University of New YorkNew YorkNew YorkUSA
- New York Consortium in Evolutionary PrimatologyNew YorkNew YorkUSA
| | - Eric J. Sargis
- Department of AnthropologyYale UniversityNew HavenConnecticutUSA
- Divisions of Vertebrate Paleontology and Vertebrate ZoologyYale Peabody Museum of Natural HistoryNew HavenConnecticutUSA
- Yale Institute for Biospheric StudiesNew HavenConnecticutUSA
| | - Daniel J. Field
- Department of Earth SciencesUniversity of CambridgeCambridgeUK
- Museum of ZoologyUniversity of CambridgeCambridgeUK
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15
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16
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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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17
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Colchero F, Eckardt W, Stoinski T. Evidence of demographic buffering in an endangered great ape: Social buffering on immature survival and the role of refined sex-age classes on population growth rate. J Anim Ecol 2021; 90:1701-1713. [PMID: 33759185 DOI: 10.1111/1365-2656.13486] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 03/16/2021] [Indexed: 11/29/2022]
Abstract
Theoretical and empirical research has shown that increased variability in demographic rates often results in a decline in the population growth rate. In order to reduce the adverse effects of increased variability, life-history theory predicts that demographic rates that contribute disproportionately to population growth should be buffered against environmental variation. To date, evidence of demographic buffering is still equivocal and limited to analyses on a reduced number of age classes (e.g. juveniles and adults), and on single sex models. Here we used Bayesian inference models for age-specific survival and fecundity on a long-term dataset of wild mountain gorillas. We used these estimates to parameterize two-sex, age-specific stochastic population projection models that accounted for the yearly covariation between demographic rates. We estimated the sensitivity of the long-run stochastic population growth rate to reductions in survival and fecundity on ages belonging to nine sex-age classes for survival and three age classes for female fecundity. We found a statistically significant negative linear relationship between the sensitivities and variances of demographic rates, with strong demographic buffering on young adult female survival and low buffering on older female and silverback survival and female fecundity. We found moderate buffering on all immature stages and on prime-age females. Previous research on long-lived slow species has found high buffering of prime-age female survival and low buffering on immature survival and fecundity. Our results suggest that the moderate buffering of the immature stages can be partially due to the mountain gorilla social system and the relative stability of their environment. Our results provide clear support for the demographic buffering hypothesis and its predicted effects on species at the slow end of the slow-fast life-history continuum, but with the surprising outcome of moderate social buffering on the survival of immature stages. We also demonstrate how increasing the number of sex-age classes can greatly improve the detection of demographic buffering in wild populations.
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Affiliation(s)
- Fernando Colchero
- Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.,Interdisciplinary Center on Population Dynamics, University of Southern Denmark, Odense, Denmark
| | - Winnie Eckardt
- The Dian Fossey Gorilla Fund International, Atlanta, GA, USA
| | - Tara Stoinski
- The Dian Fossey Gorilla Fund International, Atlanta, GA, USA
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18
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Doak DF, Waddle E, Langendorf RE, Louthan AM, Isabelle Chardon N, Dibner RR, Keinath DA, Lombardi E, Steenbock C, Shriver RK, Linares C, Begoña Garcia M, Funk WC, Fitzpatrick SW, Morris WF, DeMarche ML. A critical comparison of integral projection and matrix projection models for demographic analysis. ECOL MONOGR 2021. [DOI: 10.1002/ecm.1447] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Daniel F. Doak
- Environmental Studies Program University of Colorado Boulder Colorado USA
| | - Ellen Waddle
- Environmental Studies Program and Department of Ecology and Evolutionary Biology University of Colorado Boulder Colorado USA
| | - Ryan E. Langendorf
- Cooperative Institute for Research in Environmental Sciences and Environmental Studies Program University of Colorado Boulder Colorado USA
| | - Allison M. Louthan
- Division of Biology Kansas State University Manhattan Kansas USA
- KS and Biology Department Duke University Durham North Carolina USA
| | | | - Reilly R. Dibner
- Department of Zoology and Physiology University of Wyoming Laramie Wyoming USA
| | - Douglas A. Keinath
- Department of Zoology and Physiology University of Wyoming Laramie Wyoming USA
- Wyoming Ecological Services Field Office United States Fish and Wildlife Service 5353 Yellowstone Road, Suite 308A Cheyenne Wyoming82009USA
| | - Elizabeth Lombardi
- Department of Ecology and Evolutionary Biology Cornell University Ithaca New York USA
| | - Christopher Steenbock
- Department of Ecology and Evolutionary Biology University of Colorado Boulder Colorado USA
| | - Robert K. Shriver
- Department of Natural Resources and Environmental Science University of Nevada Reno Nevada USA
| | - Cristina Linares
- Department of Evolutionary Biology, Ecology and Environmental Sciences Institut de Recerca de la Biodiversitat (IRBio) University of Barcelona Avenida Diagonal 643 Barcelona08028Spain
| | - Maria Begoña Garcia
- Department of Evolutionary Biology, Ecology Pyrenean Institute of Ecology (CSIC) Avenida Montañana 1005 Zaragoza50059Spain
| | - W. Chris Funk
- Department of Biology Graduate Degree Program in Ecology Colorado State University Fort CollinsColorado USA
| | - Sarah W. Fitzpatrick
- W.K. Kellogg Biological Station Michigan State University Hickory Corners Michigan USA
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19
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Davison RJ, Gurven MD. Human uniqueness? Life history diversity among small-scale societies and chimpanzees. PLoS One 2021; 16:e0239170. [PMID: 33617556 PMCID: PMC7899333 DOI: 10.1371/journal.pone.0239170] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 01/27/2021] [Indexed: 11/29/2022] Open
Abstract
Background Humans life histories have been described as “slow”, patterned by slow growth, delayed maturity, and long life span. While it is known that human life history diverged from that of a recent common chimpanzee-human ancestor some ~4–8 mya, it is unclear how selection pressures led to these distinct traits. To provide insight, we compare wild chimpanzees and human subsistence societies in order to identify the age-specific vital rates that best explain fitness variation, selection pressures and species divergence. Methods We employ Life Table Response Experiments to quantify vital rate contributions to population growth rate differences. Although widespread in ecology, these methods have not been applied to human populations or to inform differences between humans and chimpanzees. We also estimate correlations between vital rate elasticities and life history traits to investigate differences in selection pressures and test several predictions based on life history theory. Results Chimpanzees’ earlier maturity and higher adult mortality drive species differences in population growth, whereas infant mortality and fertility variation explain differences between human populations. Human fitness is decoupled from longevity by postreproductive survival, while chimpanzees forfeit higher potential lifetime fertility due to adult mortality attrition. Infant survival is often lower among humans, but lost fitness is recouped via short birth spacing and high peak fertility, thereby reducing selection on infant survival. Lastly, longevity and delayed maturity reduce selection on child survival, but among humans, recruitment selection is unexpectedly highest in longer-lived populations, which are also faster-growing due to high fertility. Conclusion Humans differ from chimpanzees more because of delayed maturity and lower adult mortality than from differences in juvenile mortality or fertility. In both species, high child mortality reflects bet-hedging costs of quality/quantity tradeoffs borne by offspring, with high and variable child mortality likely regulating human population growth over evolutionary history. Positive correlations between survival and fertility among human subsistence populations leads to selection pressures in human subsistence societies that differ from those in modern populations undergoing demographic transition.
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Affiliation(s)
- Raziel J. Davison
- Integrative Anthropological Sciences, Department of Anthropology, University of California, Santa Barbara, Santa Barbara, CA, United States of America
- Broom Center for Demography, University of California, Santa Barbara, Santa Barbara, CA, United States of America
- * E-mail:
| | - Michael D. Gurven
- Integrative Anthropological Sciences, Department of Anthropology, University of California, Santa Barbara, Santa Barbara, CA, United States of America
- Broom Center for Demography, University of California, Santa Barbara, Santa Barbara, CA, United States of America
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20
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Sæther BE, Engen S, Gustafsson L, Grøtan V, Vriend SJG. Density-Dependent Adaptive Topography in a Small Passerine Bird, the Collared Flycatcher. Am Nat 2020; 197:93-110. [PMID: 33417521 DOI: 10.1086/711752] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
AbstractAdaptive topography is a central concept in evolutionary biology, describing how the mean fitness of a population changes with gene frequencies or mean phenotypes. We use expected population size as a quantity to be maximized by natural selection to show that selection on pairwise combinations of reproductive traits of collared flycatchers caused by fluctuations in population size generated an adaptive topography with distinct peaks often located at intermediate phenotypes. This occurred because r- and K-selection made phenotypes favored at small densities different from those with higher fitness at population sizes close to the carrying capacity K. Fitness decreased rapidly with a delay in the timing of egg laying, with a density-dependent effect especially occurring among early-laying females. The number of fledglings maximizing fitness was larger at small population sizes than when close to K. Finally, there was directional selection for large fledglings independent of population size. We suggest that these patterns can be explained by increased competition for some limiting resources or access to favorable nest sites at high population densities. Thus, r- and K-selection based on expected population size as an evolutionary maximization criterion may influence life-history evolution and constrain the selective responses to changes in the environment.
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21
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Morcillo DO, Steiner UK, Grayson KL, Ruiz-Lambides AV, Hernández-Pacheco R. Hurricane-induced demographic changes in a non-human primate population. ROYAL SOCIETY OPEN SCIENCE 2020; 7:200173. [PMID: 32968507 PMCID: PMC7481679 DOI: 10.1098/rsos.200173] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Accepted: 07/17/2020] [Indexed: 05/05/2023]
Abstract
Major disturbance events can have large impacts on the demography and dynamics of animal populations. Hurricanes are one example of an extreme climatic event, predicted to increase in frequency due to climate change, and thus expected to be a considerable threat to population viability. However, little is understood about the underlying demographic mechanisms shaping population response following these extreme disturbances. Here, we analyse 45 years of the most comprehensive free-ranging non-human primate demographic dataset to determine the effects of major hurricanes on the variability and maintenance of long-term population fitness. For this, we use individual-level data to build matrix population models and perform perturbation analyses. Despite reductions in population growth rate mediated through reduced fertility, our study reveals a demographic buffering during hurricane years. As long as survival does not decrease, our study shows that hurricanes do not result in detrimental effects at the population level, demonstrating the unbalanced contribution of survival and fertility to population fitness in long-lived animal populations.
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Affiliation(s)
- Dana O. Morcillo
- Department of Biology, University of Richmond, Richmond, VA, USA
| | | | | | - Angelina V. Ruiz-Lambides
- Caribbean Primate Research Center, University of Puerto Rico, Medical Sciences Campus, San Juan, Puerto Rico
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22
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Margalida A, Jiménez J, Martínez JM, Sesé JA, García‐Ferré D, Llamas A, Razin M, Colomer M, Arroyo B. An assessment of population size and demographic drivers of the Bearded Vulture using integrated population models. ECOL MONOGR 2020. [DOI: 10.1002/ecm.1414] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Antoni Margalida
- Instituto de Investigación en Recursos Cinegéticos (IREC, CSIC‐UCLM‐JCCM) E‐13005 Ciudad Real Spain
- Division of Conservation Biology Institute of Ecology and Evolution University of Bern Baltzerstrasse 6 CH‐3012 Bern Switzerland
| | - José Jiménez
- Instituto de Investigación en Recursos Cinegéticos (IREC, CSIC‐UCLM‐JCCM) E‐13005 Ciudad Real Spain
| | - José M. Martínez
- Gobierno de Aragón Subdirección General de Desarrollo Rural y Sostenibilidad Departamento Medio Ambiente C/ General Lasheras 8 E‐22003 Huesca Spain
| | - José A. Sesé
- Gobierno de Aragón Subdirección General de Desarrollo Rural y Sostenibilidad Departamento Medio Ambiente C/ General Lasheras 8 E‐22003 Huesca Spain
| | - Diego García‐Ferré
- Generalitat de Catalunya Departament de Territori i Sostenibilitat Servei de Fauna i Flora. C/Provença 204 08036 Barcelona Spain
| | - Alfonso Llamas
- Gestión Ambiental de Navarra C/ Padre Adoain 219 E‐31015 Pamplona Spain
| | - Martine Razin
- Ligue pour la Protection des Oiseaux (LPO/BirdLife) Fonderies Royales 8/10 rue du Dr Pujos F‐17305 Rochefort Cedex France
| | - MªÀngels Colomer
- Department of Mathematics Faculty of Life Sciences and Engineering University of Lleida E‐25198 Lleida Spain
| | - Beatriz Arroyo
- Instituto de Investigación en Recursos Cinegéticos (IREC, CSIC‐UCLM‐JCCM) E‐13005 Ciudad Real Spain
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23
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Campos FA, Kalbitzer U, Melin AD, Hogan JD, Cheves SE, Murillo-Chacon E, Guadamuz A, Myers MS, Schaffner CM, Jack KM, Aureli F, Fedigan LM. Differential impact of severe drought on infant mortality in two sympatric neotropical primates. ROYAL SOCIETY OPEN SCIENCE 2020; 7:200302. [PMID: 32431912 PMCID: PMC7211846 DOI: 10.1098/rsos.200302] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 03/04/2020] [Indexed: 05/06/2023]
Abstract
Extreme climate events can have important consequences for the dynamics of natural populations, and severe droughts are predicted to become more common and intense due to climate change. We analysed infant mortality in relation to drought in two primate species (white-faced capuchins, Cebus capucinus imitator, and Geoffroy's spider monkeys, Ateles geoffroyi) in a tropical dry forest in northwestern Costa Rica. Our survival analyses combine several rare and valuable long-term datasets, including long-term primate life-history, landscape-scale fruit abundance, food-tree mortality, and climate conditions. Infant capuchins showed a threshold mortality response to drought, with exceptionally high mortality during a period of intense drought, but not during periods of moderate water shortage. By contrast, spider monkey females stopped reproducing during severe drought, and the mortality of infant spider monkeys peaked later during a period of low fruit abundance and high food-tree mortality linked to the drought. These divergent patterns implicate differing physiology, behaviour or associated factors in shaping species-specific drought responses. Our findings link predictions about the Earth's changing climate to environmental influences on primate mortality risk and thereby improve our understanding of how the increasing severity and frequency of droughts will affect the dynamics and conservation of wild primates.
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Affiliation(s)
- Fernando A. Campos
- Department of Anthropology, University of Texas at San Antonio, San Antonio, TX, USA
| | - Urs Kalbitzer
- Department of Biology, McGill University, Montreal, Quebec, Canada
| | - Amanda D. Melin
- Department of Anthropology and Archaeology, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada
| | - Jeremy D. Hogan
- Department of Anthropology and Archaeology, University of Calgary, Calgary, AB, Canada
| | | | | | | | | | | | | | - Filippo Aureli
- Instituto de Neuroetología, Universidad Veracruzana, Xalapa, Mexico
- Research Centre in Evolutionary Anthropology and Palaeoecology, Liverpool John Moores University, Liverpool, UK
| | - Linda M. Fedigan
- Department of Anthropology and Archaeology, University of Calgary, Calgary, AB, Canada
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24
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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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25
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Postuma M, Schmid M, Guillaume F, Ozgul A, Paniw M. The effect of temporal environmental autocorrelation on eco‐evolutionary dynamics across life histories. Ecosphere 2020. [DOI: 10.1002/ecs2.3029] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Affiliation(s)
- Maarten Postuma
- Department of Evolutionary Biology and Environmental Studies University of Zurich Zurich 8057 Switzerland
- Department of Animal Ecology & Physiology Radboud University Nijmegen The Netherlands
- Plant Ecology and Nature Conservation Group Wageningen University Wageningen 6700 AA The Netherlands
| | - Max Schmid
- Department of Evolutionary Biology and Environmental Studies University of Zurich Zurich 8057 Switzerland
| | - Frédéric Guillaume
- Department of Evolutionary Biology and Environmental Studies University of Zurich Zurich 8057 Switzerland
| | - Arpat Ozgul
- Department of Evolutionary Biology and Environmental Studies University of Zurich Zurich 8057 Switzerland
| | - Maria Paniw
- Department of Evolutionary Biology and Environmental Studies University of Zurich Zurich 8057 Switzerland
- Ecological and Forestry Applications Research Centre (CREAF) Campus de Bellaterra (UAB) Edifici C Cerdanyola del Valles ES‐08193 Spain
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26
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Fay R, Michler S, Laesser J, Jeanmonod J, Schaub M. Can temporal covariation and autocorrelation in demographic rates affect population dynamics in a raptor species? Ecol Evol 2020; 10:1959-1970. [PMID: 32128129 PMCID: PMC7042680 DOI: 10.1002/ece3.6027] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Revised: 11/07/2019] [Accepted: 01/06/2020] [Indexed: 11/15/2022] Open
Abstract
Theoretical studies suggest that temporal covariation among and temporal autocorrelation within demographic rates are important features of population dynamics. Yet, empirical studies have rarely focused on temporal covariation and autocorrelation limiting our understanding of these patterns in natural populations. This lack of knowledge restrains our ability to fully understand population dynamics and to make reliable population forecasts. In order to fill this gap, we used a long-term monitoring (15 years) of a kestrel Falco tinnunculus population to investigate covariation and autocorrelation in survival and reproduction at the population level and their impact on population dynamics. Using Bayesian joint analyses, we found support for positive covariation between survival and reproduction, but weak autocorrelation through time. This positive covariation was stronger in juveniles compared with adults. As expected for a specialized predator, we found that the reproductive performance was strongly related to an index of vole abundance explaining 86% of the temporal variation. This very strong relationship suggests that the temporally variable prey abundance may drive the positive covariation between survival and reproduction in this kestrel population. Simulations suggested that the observed effect size of covariation could be strong enough to affect population dynamics. More generally, positive covariation and autocorrelation have a destabilizing effect increasing substantially the temporal variability of population size.
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Affiliation(s)
- Rémi Fay
- Swiss Ornithological InstituteSempachSwitzerland
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27
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Paniw M, Childs DZ, Armitage KB, Blumstein DT, Martin JGA, Oli MK, Ozgul A. Assessing seasonal demographic covariation to understand environmental-change impacts on a hibernating mammal. Ecol Lett 2020; 23:588-597. [PMID: 31970918 DOI: 10.1111/ele.13459] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 12/24/2019] [Indexed: 12/11/2022]
Abstract
Natural populations are exposed to seasonal variation in environmental factors that simultaneously affect several demographic rates (survival, development and reproduction). The resulting covariation in these rates determines population dynamics, but accounting for its numerous biotic and abiotic drivers is a significant challenge. Here, we use a factor-analytic approach to capture partially unobserved drivers of seasonal population dynamics. We use 40 years of individual-based demography from yellow-bellied marmots (Marmota flaviventer) to fit and project population models that account for seasonal demographic covariation using a latent variable. We show that this latent variable, by producing positive covariation among winter demographic rates, depicts a measure of environmental quality. Simultaneously, negative responses of winter survival and reproductive-status change to declining environmental quality result in a higher risk of population quasi-extinction, regardless of summer demography where recruitment takes place. We demonstrate how complex environmental processes can be summarized to understand population persistence in seasonal environments.
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Affiliation(s)
- Maria Paniw
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland.,Ecological and Forestry Applications Research Centre (CREAF), Campus de Bellaterra (UAB) Edifici C, ES-08193, Cerdanyola del Vallès, Spain
| | - Dylan Z Childs
- Department of Animal and Plant Sciences, University of Sheffield, Western Bank, Sheffield, S10 2TN, UK
| | - Kenneth B Armitage
- Ecology & Evolutionary Biology Department, The University of Kansas, Lawrence, KS, 66045-7534, USA
| | - Daniel T Blumstein
- Department of Ecology and Evolutionary Biology, University of California Los Angeles, Los Angeles, CA, 90095, USA.,The Rocky Mountain Biological Laboratory, Crested Butte, CO, 81224, USA
| | - Julien G A Martin
- School of Biological Sciences, University of Aberdeen, Aberdeen, AB24 2TZ, UK.,Department of Biology, University of Ottawa, Ottawa, K1N 9A7, Canada
| | - Madan K Oli
- Department of Wildlife Ecology, University of Florida, Gainesville, FL, 32611, USA
| | - Arpat Ozgul
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland
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28
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Ramula S, Kerr NZ, Crone EE. Using statistics to design and estimate vital rates in matrix population models for a perennial herb. POPUL ECOL 2019. [DOI: 10.1002/1438-390x.12024] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Satu Ramula
- Department of Biology University of Turku Turku Finland
| | - Natalie Z. Kerr
- Department of Biology Tufts University Medford Massachusetts
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29
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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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30
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Milton K, Armitage DW, Sousa WP. Successional loss of two key food tree species best explains decline in group size of Panamanian howler monkeys (
Alouatta palliata
). Biotropica 2019. [DOI: 10.1111/btp.12679] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Katharine Milton
- Department of Environmental Science, Policy, and Management University of California Berkeley California
| | - David W. Armitage
- Department of Biological Sciences University of Notre Dame Notre Dame Indiana
| | - Wayne P. Sousa
- Department of Integrative Biology University of California Berkeley California
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31
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Gurven MD, Davison RJ. Periodic catastrophes over human evolutionary history are necessary to explain the forager population paradox. Proc Natl Acad Sci U S A 2019; 116:12758-12766. [PMID: 31182596 PMCID: PMC6600907 DOI: 10.1073/pnas.1902406116] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The rapid growth of contemporary human foragers and steady decline of chimpanzees represent puzzling population paradoxes, as any species must exhibit near-stationary growth over much of their evolutionary history. We evaluate the conditions favoring zero population growth (ZPG) among 10 small-scale subsistence human populations and five wild chimpanzee groups according to four demographic scenarios: altered mean vital rates (i.e., fertility and mortality), vital rate stochasticity, vital rate covariance, and periodic catastrophes. Among most human populations, changing mean fertility or survivorship alone requires unprecedented alterations. Stochastic variance and covariance would similarly require major adjustment to achieve ZPG in most populations. Crashes could maintain ZPG in slow-growing populations but must be frequent and severe in fast-growing populations-more extreme than observed in the ethnographic record. A combination of vital rate alteration with catastrophes is the most realistic solution to the forager population paradox. ZPG in declining chimpanzees is more readily obtainable through reducing mortality and altering covariance. While some human populations may have hovered near ZPG under harsher conditions (e.g., violence or food shortage), modern Homo sapiens were equipped with the potential to rapidly colonize new habitats and likely experienced population fluctuations and local extinctions over evolutionary history.
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Affiliation(s)
- Michael D Gurven
- Integrative Anthropological Sciences, Department of Anthropology, Leonard and Gretchan Broom Center for Demography, University of California, Santa Barbara, CA 93106;
| | - Raziel J Davison
- Institute for Behavioral and Economic Research, University of California, Santa Barbara, CA 93106
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32
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Colchero F, Jones OR, Conde DA, Hodgson D, Zajitschek F, Schmidt BR, Malo AF, Alberts SC, Becker PH, Bouwhuis S, Bronikowski AM, De Vleeschouwer KM, Delahay RJ, Dummermuth S, Fernández-Duque E, Frisenvaenge J, Hesselsøe M, Larson S, Lemaître JF, McDonald J, Miller DAW, O'Donnell C, Packer C, Raboy BE, Reading CJ, Wapstra E, Weimerskirch H, While GM, Baudisch A, Flatt T, Coulson T, Gaillard JM. The diversity of population responses to environmental change. Ecol Lett 2018; 22:342-353. [PMID: 30536594 PMCID: PMC6378614 DOI: 10.1111/ele.13195] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Revised: 09/02/2018] [Accepted: 11/07/2018] [Indexed: 12/24/2022]
Abstract
The current extinction and climate change crises pressure us to predict population dynamics with ever‐greater accuracy. Although predictions rest on the well‐advanced theory of age‐structured populations, two key issues remain poorly explored. Specifically, how the age‐dependency in demographic rates and the year‐to‐year interactions between survival and fecundity affect stochastic population growth rates. We use inference, simulations and mathematical derivations to explore how environmental perturbations determine population growth rates for populations with different age‐specific demographic rates and when ages are reduced to stages. We find that stage‐ vs. age‐based models can produce markedly divergent stochastic population growth rates. The differences are most pronounced when there are survival‐fecundity‐trade‐offs, which reduce the variance in the population growth rate. Finally, the expected value and variance of the stochastic growth rates of populations with different age‐specific demographic rates can diverge to the extent that, while some populations may thrive, others will inevitably go extinct.
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Affiliation(s)
- Fernando Colchero
- Interdisciplinary Center on Population Dynamics, University of Southern Denmark, Campusvej 55, 5230, Odense M, Denmark.,Department of Mathematics and Computer Science, University of Southern Denmark, Campusvej 55, 5230, Odense M, Denmark
| | - Owen R Jones
- Interdisciplinary Center on Population Dynamics, University of Southern Denmark, Campusvej 55, 5230, Odense M, Denmark.,Institute of Biology, University of Southern Denmark, Campusvej 55, 5230, Odense M, Denmark
| | - Dalia A Conde
- Interdisciplinary Center on Population Dynamics, University of Southern Denmark, Campusvej 55, 5230, Odense M, Denmark.,Institute of Biology, University of Southern Denmark, Campusvej 55, 5230, Odense M, Denmark.,Species360 Conservation Science Alliance, 7900 International Drive, Suite 1040, Bloomington, MN, 55425, USA
| | - David Hodgson
- Centre for Ecology and Conservation College of Life and Environmental Sciences, University of Exeter, Cornwall Campus, Penryn, Cornwall, TR10 9EZ, UK
| | - Felix Zajitschek
- Evolution and Ecology Research Centre and School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Benedikt R Schmidt
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland.,Info Fauna Karch, UniMail, Bâtiment G, Bellevaux 51, 2000, Neuchâtel, Switzerland
| | - Aurelio F Malo
- Department of Zoology, University of Oxford, Oxford, OX2 6GG, UK.,Departamento de Ciencias de la Vida, Universidad de Alcalá, 28805, Madrid, Spain
| | - Susan C Alberts
- Departments of Biology and Evolutionary Anthropology, Duke University, Durham, NC, 27708, USA.,Institute of Primate Research, National Museums of Kenya, Nairobi, Kenya
| | - Peter H Becker
- Institut of Avian Research An der Vogelwarte, 21 D-26386, Wilhelmshaven, Germany
| | - Sandra Bouwhuis
- Institut of Avian Research An der Vogelwarte, 21 D-26386, Wilhelmshaven, Germany
| | - Anne M Bronikowski
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, 251 Bessey Hall, Ames, IA, USA
| | - Kristel M De Vleeschouwer
- Centre for Research and Conservation, Royal Zoological Society of Antwerp, Koningin Astridplein, Antwerpen, Belgium
| | - Richard J Delahay
- National Wildlife Management Centre, Animal and Plant Health Agency, Woodchester Park Nympsfield, Gloucestershire, GL10 3UJ, UK
| | - Stefan Dummermuth
- Info Fauna Karch, UniMail, Bâtiment G, Bellevaux 51, 2000, Neuchâtel, Switzerland
| | | | - John Frisenvaenge
- Amphi Consult, Sciencepark NOVI, Niels Jernes Vej 10, DK, 9220, Aalborg Ø, Denmark
| | - Martin Hesselsøe
- Amphi Consult, Sciencepark NOVI, Niels Jernes Vej 10, DK, 9220, Aalborg Ø, Denmark
| | - Sam Larson
- Department of Anthropology, University of Pennsylvania, Philadelphia, PA, USA
| | - Jean-François Lemaître
- Université Lyon 1, CNRS, UMR 5558, Laboratoire de Biométrie et Biologie Evolutive, F-69622, Villeurbanne, France
| | - Jennifer McDonald
- Centre for Ecology and Conservation College of Life and Environmental Sciences, University of Exeter, Cornwall Campus, Penryn, Cornwall, TR10 9EZ, UK
| | - David A W Miller
- Department of Ecosystem Science and Management, Pennsylvania State University, 411 Forest Resources Building, University Park, PA, 16802, USA
| | - Colin O'Donnell
- Department of Conservation, Te Papa Atawhai, PO Box 4715, Christchurch, 8140, New Zealand
| | - Craig Packer
- College of Biological Sciences, Department of Ecology, Evolution and Behavior, University of Minnesota, 123 Snyder Hall, 1475 Gortner Ave, Saint Paul, MN, 55108, USA
| | - Becky E Raboy
- Department of Ecology and Evolutionary Biology, University of Toronto, 25 Willcocks Street, Toronto, ON, Canada, M5S 3B2
| | - Chris J Reading
- Centre for Ecology and Hydrology, CEH Wallingford, Benson Lane, Crowmarsh, Gifford, Wallingford, Oxfordshire, OX10 8BB, UK
| | - Erik Wapstra
- School of Biological Sciences, University of Tasmania, Private Bag 5, Hobart, TAS, Australia
| | - Henri Weimerskirch
- Centre d'Etudes Biologiques de Chizé, CNRS, 79360, Villiers en Bois, France
| | - Geoffrey M While
- Centre d'Etudes Biologiques de Chizé, CNRS, 79360, Villiers en Bois, France.,Edward Grey Institute, Department of Zoology, University of Oxford, South Parks Road, Oxford, OX1 3PS, UK
| | - Annette Baudisch
- Department of Mathematics and Computer Science, University of Southern Denmark, Campusvej 55, 5230, Odense M, Denmark.,Institute of Biology, University of Southern Denmark, Campusvej 55, 5230, Odense M, Denmark.,Department of Public Health, University of Southern Denmark, Odense, 5000, Denmark
| | - Thomas Flatt
- Department of Biology, University of Fribourg, Ch. du Musée 10, 1700, Fribourg, Switzerland
| | - Tim Coulson
- Department of Zoology, University of Oxford, Oxford, OX2 6GG, UK
| | - Jean-Michel Gaillard
- Université Lyon 1, CNRS, UMR 5558, Laboratoire de Biométrie et Biologie Evolutive, F-69622, Villeurbanne, France
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33
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Genovart M, Oro D, Tenan S. Immature survival, fertility, and density dependence drive global population dynamics in a long-lived species. Ecology 2018; 99:2823-2832. [PMID: 30422304 DOI: 10.1002/ecy.2515] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Revised: 08/02/2018] [Accepted: 08/22/2018] [Indexed: 11/05/2022]
Abstract
Disentangling the influence of demographic parameters and the role of density dependence on species' population dynamics is a challenge, especially when fractions of the population are unobservable. Additionally, due to the difficulty of gathering data at large spatial scales, most studies ignore the global dynamic of a species, which would integrate local heterogeneity dynamics and remove the noise of dispersal. We developed an integrated population model (IPM) at a global scale to disentangle the main demographic drivers of population dynamics in a long-lived species. We used 28 yr of Audouin's Gull demographic data encompassing 69 local patches (comprising 90% of the world population). Importantly, we took into account the unobservable fraction of non-breeders and also assessed the strength of density dependence for this fraction of the population. As predicted by life histories of long-lived organisms, temporal random variation in survival was highest for immature individuals (1.326, 95% credible interval [CRI] 1.290-1.940) and lowest for adults (0.499, 95% CRI 0.487-0.720). Large temporal fluctuations in the probability of taking a reproductive sabbatical would partly explain the consistency in adult survival, with individuals most likely refraining from breeding when environmental conditions were harsh. Immature survival and fertility were the main drivers of population dynamics during the study period (r2 = 0.83, 0.77-0.87 and 0.73, 0.63-0.79, respectively). We found strong evidence of density dependence, not only due to the number of breeders (r2 = -0.34, -0.43 to -0.24) but also due to individuals on sabbatical (r2 = -0.18, -0.33 to -0.01). From a conservation point of view, the species shows a 5% annual global decrease during the last 10 years, and we propose an update of its conservation status. Even though population dynamics of long-lived organisms are very sensitive to changes in adult survival, we show here that, in the absence of strong environmental perturbations affecting this vital rate, fluctuations in population density are mainly driven by variations in survival of immature individuals and fertility. Integrated models based on long-term monitoring at a global scale may enhance our ecological and evolutionary understanding of how demographic drivers influence population dynamics.
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Affiliation(s)
- M Genovart
- CEAB (CSIC), Accés Cala Sant Francesc 14, 17300, Blanes, Catalonia, Spain.,IMEDEA (CSIC-UIB), Miquel Marquès 21, 07190, Esporles, Spain
| | - D Oro
- CEAB (CSIC), Accés Cala Sant Francesc 14, 17300, Blanes, Catalonia, Spain.,IMEDEA (CSIC-UIB), Miquel Marquès 21, 07190, Esporles, Spain
| | - S Tenan
- MUSE - Museo delle Scienze, Sezione Zoologia dei Vertebrati, Corso del Lavoro e della Scienza 3, 38122, Trento, Italy
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34
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Abstract
Conservation genetics is a branch of conservation biology that uses molecular data to assist in the conservation and management of imperiled populations, subspecies, and species. In this review, I examine conservation action plans (CAPs)—instrumental documents designed to influence conservation policy—for selected primate species. I use the information contained in CAPs as a means to guide this review. The primary genetics-based topics that are mentioned in CAPs are genetic connectivity, inbreeding, and subspecies/species delimitation. I discuss these topics as well as historical demographic inference and hybridization using examples from wild primate species to illustrate the myriad ways in which genetics can assist in conservation efforts. I also discuss some recent technological advances such as genomic capture techniques and the potential to do molecular work in remote locations.
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Affiliation(s)
- Richard R. Lawler
- Department of Sociology and Anthropology, James Madison University, Harrisonburg, Virginia 22807, USA
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35
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Affiliation(s)
- Stephanie L Canington
- Center for Functional Anatomy and Evolution, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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36
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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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37
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Thompson NA, Cords M. Stronger social bonds do not always predict greater longevity in a gregarious primate. Ecol Evol 2018; 8:1604-1614. [PMID: 29435236 PMCID: PMC5792528 DOI: 10.1002/ece3.3781] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Revised: 12/02/2017] [Accepted: 12/11/2017] [Indexed: 01/21/2023] Open
Abstract
In group-living species, individuals often have preferred affiliative social partners, with whom ties or bonds can confer advantages that correspond with greater fitness. For example, in adult female baboons and juvenile horses, individuals with stronger or more social ties experience greater survival. We used detailed behavioral and life history records to explore the relationship between tie quality and survival in a gregarious monkey (Cercopithecus mitis stuhlmanni), while controlling for dominance rank, group size, and life history strategy. We used Cox proportional hazards regressions to model the cumulative (multi-year) and current (single-year) relationships of social ties and the hazard of mortality in 83 wild adult females of known age, observed 2-8 years each (437 subject-years) in eight social groups. The strength of bonds with close partners was associated with increased mortality risk under certain conditions: Females that had strong bonds with close partners that were inconsistent over multiple years had a higher risk of mortality than females adopting any other social strategy. Within a given year, females had a higher risk of death if they were strongly bonded with partners that changed from the previous year versus with partners that remained consistent. Dominance rank, number of adult female groupmates, and age at first reproduction did not predict the risk of death. This study demonstrates that costs and benefits of strong social bonds can be context-dependent, relating to the consistency of social partners over time.
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Affiliation(s)
- Nicole A. Thompson
- Department of Ecology, Evolution, and Environmental BiologyColumbia UniversityNew YorkNYUSA
- New York Consortium in Evolutionary PrimatologyNew YorkNYUSA
| | - Marina Cords
- Department of Ecology, Evolution, and Environmental BiologyColumbia UniversityNew YorkNYUSA
- New York Consortium in Evolutionary PrimatologyNew YorkNYUSA
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38
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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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39
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Campos FA, Morris WF, Alberts SC, Altmann J, Brockman DK, Cords M, Pusey A, Stoinski TS, Strier KB, Fedigan LM. Does climate variability influence the demography of wild primates? Evidence from long-term life-history data in seven species. GLOBAL CHANGE BIOLOGY 2017; 23:4907-4921. [PMID: 28589633 DOI: 10.10.1111/gcb.13754] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2016] [Accepted: 04/04/2017] [Indexed: 05/21/2023]
Abstract
Earth's rapidly changing climate creates a growing need to understand how demographic processes in natural populations are affected by climate variability, particularly among organisms threatened by extinction. Long-term, large-scale, and cross-taxon studies of vital rate variation in relation to climate variability can be particularly valuable because they can reveal environmental drivers that affect multiple species over extensive regions. Few such data exist for animals with slow life histories, particularly in the tropics, where climate variation over large-scale space is asynchronous. As our closest relatives, nonhuman primates are especially valuable as a resource to understand the roles of climate variability and climate change in human evolutionary history. Here, we provide the first comprehensive investigation of vital rate variation in relation to climate variability among wild primates. We ask whether primates are sensitive to global changes that are universal (e.g., higher temperature, large-scale climate oscillations) or whether they are more sensitive to global change effects that are local (e.g., more rain in some places), which would complicate predictions of how primates in general will respond to climate change. To address these questions, we use a database of long-term life-history data for natural populations of seven primate species that have been studied for 29-52 years to investigate associations between vital rate variation, local climate variability, and global climate oscillations. Associations between vital rates and climate variability varied among species and depended on the time windows considered, highlighting the importance of temporal scale in detection of such effects. We found strong climate signals in the fertility rates of three species. However, survival, which has a greater impact on population growth, was little affected by climate variability. Thus, we found evidence for demographic buffering of life histories, but also evidence of mechanisms by which climate change could affect the fates of wild primates.
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Affiliation(s)
- Fernando A Campos
- Department of Anthropology, Tulane University, New Orleans, LA, USA
- Department of Anthropology, University of Calgary, Calgary, AB, Canada
| | | | - Susan C Alberts
- Department of Biology, Duke University, Durham, NC, USA
- Institute of Primate Research, National Museums of Kenya, Nairobi, Kenya
| | - Jeanne Altmann
- Institute of Primate Research, National Museums of Kenya, Nairobi, Kenya
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Diane K Brockman
- Department of Anthropology, University of North Carolina, Charlotte, NC, USA
| | - Marina Cords
- Department of Ecology, Evolution and Environmental Biology, Columbia University, New York, NY, USA
| | - Anne Pusey
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA
| | - Tara S Stoinski
- The Dian Fossey Gorilla Fund International, Atlanta, GA, USA
| | - Karen B Strier
- Department of Anthropology, University of Wisconsin-Madison, Madison, WI, USA
| | - Linda M Fedigan
- Department of Anthropology, University of Calgary, Calgary, AB, Canada
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40
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Campos FA, Morris WF, Alberts SC, Altmann J, Brockman DK, Cords M, Pusey A, Stoinski TS, Strier KB, Fedigan LM. Does climate variability influence the demography of wild primates? Evidence from long-term life-history data in seven species. GLOBAL CHANGE BIOLOGY 2017; 23:4907-4921. [PMID: 28589633 DOI: 10.1111/gcb.13754] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2016] [Accepted: 04/04/2017] [Indexed: 05/22/2023]
Abstract
Earth's rapidly changing climate creates a growing need to understand how demographic processes in natural populations are affected by climate variability, particularly among organisms threatened by extinction. Long-term, large-scale, and cross-taxon studies of vital rate variation in relation to climate variability can be particularly valuable because they can reveal environmental drivers that affect multiple species over extensive regions. Few such data exist for animals with slow life histories, particularly in the tropics, where climate variation over large-scale space is asynchronous. As our closest relatives, nonhuman primates are especially valuable as a resource to understand the roles of climate variability and climate change in human evolutionary history. Here, we provide the first comprehensive investigation of vital rate variation in relation to climate variability among wild primates. We ask whether primates are sensitive to global changes that are universal (e.g., higher temperature, large-scale climate oscillations) or whether they are more sensitive to global change effects that are local (e.g., more rain in some places), which would complicate predictions of how primates in general will respond to climate change. To address these questions, we use a database of long-term life-history data for natural populations of seven primate species that have been studied for 29-52 years to investigate associations between vital rate variation, local climate variability, and global climate oscillations. Associations between vital rates and climate variability varied among species and depended on the time windows considered, highlighting the importance of temporal scale in detection of such effects. We found strong climate signals in the fertility rates of three species. However, survival, which has a greater impact on population growth, was little affected by climate variability. Thus, we found evidence for demographic buffering of life histories, but also evidence of mechanisms by which climate change could affect the fates of wild primates.
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Affiliation(s)
- Fernando A Campos
- Department of Anthropology, Tulane University, New Orleans, LA, USA
- Department of Anthropology, University of Calgary, Calgary, AB, Canada
| | | | - Susan C Alberts
- Department of Biology, Duke University, Durham, NC, USA
- Institute of Primate Research, National Museums of Kenya, Nairobi, Kenya
| | - Jeanne Altmann
- Institute of Primate Research, National Museums of Kenya, Nairobi, Kenya
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Diane K Brockman
- Department of Anthropology, University of North Carolina, Charlotte, NC, USA
| | - Marina Cords
- Department of Ecology, Evolution and Environmental Biology, Columbia University, New York, NY, USA
| | - Anne Pusey
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA
| | - Tara S Stoinski
- The Dian Fossey Gorilla Fund International, Atlanta, GA, USA
| | - Karen B Strier
- Department of Anthropology, University of Wisconsin-Madison, Madison, WI, USA
| | - Linda M Fedigan
- Department of Anthropology, University of Calgary, Calgary, AB, Canada
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41
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Lee AM, Saether BE, Markussen SS, Engen S. Modelling time to population extinction when individual reproduction is autocorrelated. Ecol Lett 2017; 20:1385-1394. [PMID: 28925038 DOI: 10.1111/ele.12834] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2017] [Revised: 04/02/2017] [Accepted: 08/08/2017] [Indexed: 11/30/2022]
Abstract
In nature, individual reproductive success is seldom independent from year to year, due to factors such as reproductive costs and individual heterogeneity. However, population projection models that incorporate temporal autocorrelations in individual reproduction can be difficult to parameterise, particularly when data are sparse. We therefore examine whether such models are necessary to avoid biased estimates of stochastic population growth and extinction risk, by comparing output from a matrix population model that incorporates reproductive autocorrelations to output from a standard age-structured matrix model that does not. We use a range of parameterisations, including a case study using moose data, treating probabilities of switching reproductive class as either fixed or fluctuating. Expected time to extinction from the two models is found to differ by only small amounts (under 10%) for most parameterisations, indicating that explicitly accounting for individual reproductive autocorrelations is in most cases not necessary to avoid bias in extinction estimates.
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Affiliation(s)
- Aline Magdalena Lee
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Bernt-Erik Saether
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Stine Svalheim Markussen
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Steinar Engen
- Centre for Biodiversity Dynamics, Department of Mathematical Sciences, Norwegian University of Science and Technology, Trondheim, Norway
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Wango TL, Musiega D, Mundia CN, Altmann J, Alberts SC, Tung J. Climate and Land Cover Analysis Suggest No Strong Ecological Barriers to Gene Flow in a Natural Baboon Hybrid Zone. INT J PRIMATOL 2017. [DOI: 10.1007/s10764-017-9989-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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43
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Salmona J, Heller R, Quéméré E, Chikhi L. Climate change and human colonization triggered habitat loss and fragmentation in Madagascar. Mol Ecol 2017; 26:5203-5222. [DOI: 10.1111/mec.14173] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2016] [Revised: 04/24/2017] [Accepted: 05/02/2017] [Indexed: 12/20/2022]
Affiliation(s)
- Jordi Salmona
- Instituto Gulbenkian de Ciênca; Oeiras Portugal
- Laboratoire Evolution & Diversité Biologique; UMR 5174 CNRS; Université Paul Sabatier; Toulouse France
- UMR 5174 EDB; Université de Toulouse; Toulouse France
| | - Rasmus Heller
- Department of Biology; University of Copenhagen; Copenhagen N Denmark
| | - Erwan Quéméré
- CEFS; Université de Toulouse; INRA; Castanet-Tolosan France
| | - Lounès Chikhi
- Instituto Gulbenkian de Ciênca; Oeiras Portugal
- Laboratoire Evolution & Diversité Biologique; UMR 5174 CNRS; Université Paul Sabatier; Toulouse France
- UMR 5174 EDB; Université de Toulouse; Toulouse France
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44
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Kappeler PM, Cuozzo FP, Fichtel C, Ganzhorn JU, Gursky-Doyen S, Irwin MT, Ichino S, Lawler R, Nekaris KAI, Ramanamanjato JB, Radespiel U, Sauther ML, Wright PC, Zimmermann E. Long-term field studies of lemurs, lorises, and tarsiers. J Mammal 2017. [DOI: 10.1093/jmammal/gyx013] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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45
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Galbany J, Abavandimwe D, Vakiener M, Eckardt W, Mudakikwa A, Ndagijimana F, Stoinski TS, McFarlin SC. Body growth and life history in wild mountain gorillas (
Gorilla beringei beringei
) from Volcanoes National Park, Rwanda. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2017; 163:570-590. [DOI: 10.1002/ajpa.23232] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Revised: 03/29/2017] [Accepted: 04/04/2017] [Indexed: 01/17/2023]
Affiliation(s)
- Jordi Galbany
- Department of Anthropology, Center for the Advanced Study of Human PaleobiologyThe George Washington UniversityWashington, District Columbia
| | | | - Meagan Vakiener
- Department of Anthropology, Center for the Advanced Study of Human PaleobiologyThe George Washington UniversityWashington, District Columbia
| | | | - Antoine Mudakikwa
- Department of Tourism and ConservationRwanda Development BoardKigali Rwanda
| | | | | | - Shannon C. McFarlin
- Department of Anthropology, Center for the Advanced Study of Human PaleobiologyThe George Washington UniversityWashington, District Columbia
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46
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Vindenes Y, Engen S. Demographic stochasticity and temporal autocorrelation in the dynamics of structured populations. OIKOS 2017. [DOI: 10.1111/oik.03958] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Yngvild Vindenes
- Centre for Ecological and Evolutionary Synthesis (CEES), Dept of Biosciences, Univ. of Oslo; Oslo Norway
| | - Steinar Engen
- Centre for Biodiversity Dynamics (CBD), Dept of Mathematical Sciences, Norwegian Univ. of Science and Technology; Trondheim Norway
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47
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Compagnoni A, Bibian AJ, Ochocki BM, Rogers HS, Schultz EL, Sneck ME, Elderd BD, Iler AM, Inouye DW, Jacquemyn H, Miller TEX. The effect of demographic correlations on the stochastic population dynamics of perennial plants. ECOL MONOGR 2016. [DOI: 10.1002/ecm.1228] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Affiliation(s)
- Aldo Compagnoni
- Department of BioSciences Program in Ecology and Evolutionary Biology Rice University 6100 Main Street, MS‐170 Houston Texas 77005 USA
| | - Andrew J. Bibian
- Department of BioSciences Program in Ecology and Evolutionary Biology Rice University 6100 Main Street, MS‐170 Houston Texas 77005 USA
| | - Brad M. Ochocki
- Department of BioSciences Program in Ecology and Evolutionary Biology Rice University 6100 Main Street, MS‐170 Houston Texas 77005 USA
| | - Haldre S. Rogers
- Department of BioSciences Program in Ecology and Evolutionary Biology Rice University 6100 Main Street, MS‐170 Houston Texas 77005 USA
| | - Emily L. Schultz
- Department of BioSciences Program in Ecology and Evolutionary Biology Rice University 6100 Main Street, MS‐170 Houston Texas 77005 USA
| | - Michelle E. Sneck
- Department of BioSciences Program in Ecology and Evolutionary Biology Rice University 6100 Main Street, MS‐170 Houston Texas 77005 USA
| | - Bret D. Elderd
- Department of Biological Sciences Louisiana State University Baton Rouge Louisiana 70808 USA
| | - Amy M. Iler
- Aarhus Institute of Advanced Studies Aarhus University Høegh‐Guldbergs Gade 6B DK‐8000 Aarhus C Denmark
- Rocky Mountain Biological Laboratory P.O. Box 519 Crested Butte Colorado 81224 USA
| | - David W. Inouye
- Rocky Mountain Biological Laboratory P.O. Box 519 Crested Butte Colorado 81224 USA
- Department of Biology University of Maryland College Park Maryland 20742 USA
| | - Hans Jacquemyn
- Division of Plant Ecology and Systematics Biology Department, University of Leuven Arenbergpark 31 B‐3001 Heverlee Belgium
| | - Tom E. X. Miller
- Department of BioSciences Program in Ecology and Evolutionary Biology Rice University 6100 Main Street, MS‐170 Houston Texas 77005 USA
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Bjørkvoll E, Lee AM, Grøtan V, Saether BE, Stien A, Engen S, Albon S, Loe LE, Hansen BB. Demographic buffering of life histories? Implications of the choice of measurement scale. Ecology 2016; 97:40-7. [PMID: 27008773 DOI: 10.1890/15-0317.1] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Life-history theory predicts that the vital rates that influence population growth the most should be buffered against environmental fluctuations due to selection for reduced variation. However, it remains unclear whether populations actually are influenced by such "demographic buffering," because variation in vital rates can be compared on different measurement scales, and there has been little attempt to investigate whether the choice of scale influences the chance of detecting demographic buffering. We compared two statistical approaches to examine whether demographic buffering has influenced vital rates in wild Svalbard reindeer (Rangifer tarandus platyrhynchus). To account for statistical variance constraints on vital rates limited between 0 and 1 in analyses of demographic buffering, one approach is to scale observed variation by the maximum possible variation on the arithmetic scale. When applying this approach, the results suggested that demographic buffering was occurring. However, when we applied an alternative approach that identified statistical variance constraints on the logit scale, there was no evidence for demographic buffering. Thus, the choice of measurement scale must be carefully considered before one can fully understand whether demographic buffering influences life histories. Defining the appropriate scale may require an understanding of the mechanisms through which demographic buffering may have evolved.
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49
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Bronikowski AM, Cords M, Alberts SC, Altmann J, Brockman DK, Fedigan LM, Pusey A, Stoinski T, Strier KB, Morris WF. Female and male life tables for seven wild primate species. Sci Data 2016; 3:160006. [PMID: 26928014 PMCID: PMC4772651 DOI: 10.1038/sdata.2016.6] [Citation(s) in RCA: 62] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2015] [Accepted: 01/12/2016] [Indexed: 11/18/2022] Open
Abstract
We provide male and female census count data, age-specific survivorship, and female age-specific fertility estimates for populations of seven wild primates that have been continuously monitored for at least 29 years: sifaka (Propithecus verreauxi) in Madagascar; muriqui (Brachyteles hypoxanthus) in Brazil; capuchin (Cebus capucinus) in Costa Rica; baboon (Papio cynocephalus) and blue monkey (Cercopithecus mitis) in Kenya; chimpanzee (Pan troglodytes) in Tanzania; and gorilla (Gorilla beringei) in Rwanda. Using one-year age-class intervals, we computed point estimates of age-specific survival for both sexes. In all species, our survival estimates for the dispersing sex are affected by heavy censoring. We also calculated reproductive value, life expectancy, and mortality hazards for females. We used bootstrapping to place confidence intervals on life-table summary metrics (R0, the net reproductive rate; λ, the population growth rate; and G, the generation time). These data have high potential for reuse; they derive from continuous population monitoring of long-lived organisms and will be invaluable for addressing questions about comparative demography, primate conservation and human evolution.
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Affiliation(s)
- Anne M Bronikowski
- Department of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, Iowa 50011, USA
| | - Marina Cords
- Department of Ecology, Evolution and Environmental Biology, Columbia University, New York, New York 10027, USA
| | - Susan C Alberts
- Department of Biology, Duke University, Durham, North Carolina 27708, USA.,Institute of Primate Research, National Museums of Kenya, Nairobi, Kenya
| | - Jeanne Altmann
- Institute of Primate Research, National Museums of Kenya, Nairobi, Kenya.,Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey 88001, USA
| | - Diane K Brockman
- Department of Anthropology, University of North Carolina, Charlotte, North Carolina 28223, USA
| | - Linda M Fedigan
- Department of Anthropology, University of Calgary, Calgary, Alberta, Canada T2N 1N4
| | - Anne Pusey
- Department of Evolutionary Anthropology, Duke University, Durham, North Carolina 27708, USA
| | - Tara Stoinski
- The Dian Fossey Gorilla Fund International and Zoo Atlanta, Atlanta, Georgia 30315, USA
| | - Karen B Strier
- Department of Anthropology, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - William F Morris
- Department of Biology, Duke University, Durham, North Carolina 27708, USA
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50
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Genetic Diversity, Population Size, and Conservation of the Critically Endangered Perrier’s Sifaka (Propithecus perrieri). INT J PRIMATOL 2015. [DOI: 10.1007/s10764-015-9881-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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