IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v408y2019ic5.html
   My bibliography  Save this article

Stochastic effects contribute to population fitness differences

Author

Listed:
  • Davison, Raziel
  • Stadman, Marc
  • Jongejans, Eelke

Abstract

Demographic rates differ between populations and also fluctuate over time, sometimes driving large fitness differences, but the strength of stochastic effects remain heretofore unresolved. We demonstrate the importance of stochastic processes by comparing the drivers of long-term population growth. We quantify stochastic contributions to differences in population growth rates among 218 plant and two animal populations representing 62 species (all records from the COMPADRE and COMADRE matrix databases suitable for our analyses) using the Small Noise Approximation Life Table Response Experiment (SNA-LTRE), a recently developed matrix model tool for decomposing the stochastic contributions of elasticities, variability and correlations. Stochastic influences comprise over a quarter of all contributions to population growth variation among populations (mean ± SD = 28 ± 14%). The relative importance of stochastic effects decreases with generation time and lifespan, confirming predictions that longevity buffers populations against the negative effects of variability. Stochastic effects are larger when populations differ widely in growth rates, suggesting that stochasticity is likely to be important where ecological conditions vary greatly, and are larger among herbaceous perennials than among woody plants, ferns and succulents, possibly reflecting phenotypic plasticity in response to fluctuating environments. Overall, we show that stochastic effects are often strong enough to warrant the additional effort required to characterize their contributions to population growth.

Suggested Citation

  • Davison, Raziel & Stadman, Marc & Jongejans, Eelke, 2019. "Stochastic effects contribute to population fitness differences," Ecological Modelling, Elsevier, vol. 408(C), pages 1-1.
  • Handle: RePEc:eee:ecomod:v:408:y:2019:i:c:5
    DOI: 10.1016/j.ecolmodel.2019.108760
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380019302686
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2019.108760?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. U. Dieckmann & M. Doebeli, 1999. "On the Origin of Species by Sympatric Speciation," Working Papers ir99013, International Institute for Applied Systems Analysis.
    2. Daniel F. Doak & William F. Morris, 2010. "Demographic compensation and tipping points in climate-induced range shifts," Nature, Nature, vol. 467(7318), pages 959-962, October.
    3. Ulf Dieckmann & Michael Doebeli, 1999. "On the origin of species by sympatric speciation," Nature, Nature, vol. 400(6742), pages 354-357, July.
    4. Luis-Miguel Chevin & Russell Lande & Georgina M Mace, 2010. "Adaptation, Plasticity, and Extinction in a Changing Environment: Towards a Predictive Theory," PLOS Biology, Public Library of Science, vol. 8(4), pages 1-8, April.
    5. Luis-Miguel Chevin & Russell Lande & Georgina M Mace, 2010. "Adaptation, Plasticity, and Extinction in a Changing Environment: Towards a Predictive Theory," Working Papers id:2494, eSocialSciences.
    6. Stubben, Chris & Milligan, Brook, 2007. "Estimating and Analyzing Demographic Models Using the popbio Package in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 22(i11).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Michael J. Noonan & Chris Newman & Andrew Markham & Kirstin Bilham & Christina D. Buesching & David W. Macdonald, 2018. "In situ behavioral plasticity as compensation for weather variability: implications for future climate change," Climatic Change, Springer, vol. 149(3), pages 457-471, August.
    2. Åke Brännström & Jacob Johansson & Niels Von Festenberg, 2013. "The Hitchhiker’s Guide to Adaptive Dynamics," Games, MDPI, vol. 4(3), pages 1-25, June.
    3. Bruno R Ribeiro & Lilian P Sales & Paulo De Marco Jr. & Rafael Loyola, 2016. "Assessing Mammal Exposure to Climate Change in the Brazilian Amazon," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-13, November.
    4. Alexandros Rigos & Heinrich H. Nax, 2015. "Assortativity evolving from social dilemmas," Discussion Papers in Economics 15/19, Division of Economics, School of Business, University of Leicester.
    5. Chaianunporn, Thotsapol & Hovestadt, Thomas, 2012. "Concurrent evolution of random dispersal and habitat niche width in host-parasitoid systems," Ecological Modelling, Elsevier, vol. 247(C), pages 241-250.
    6. Michael B. Doud & Animesh Gupta & Victor Li & Sarah J. Medina & Caesar A. Fuente & Justin R. Meyer, 2024. "Competition-driven eco-evolutionary feedback reshapes bacteriophage lambda’s fitness landscape and enables speciation," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    7. Greenspoon, Philip B. & Mideo, Nicole, 2017. "Evolutionary rescue of a parasite population by mutation rate evolution," Theoretical Population Biology, Elsevier, vol. 117(C), pages 64-75.
    8. Maldonado-Chaparro, Adriana A. & Read, Dwight W. & Blumstein, Daniel T., 2017. "Can individual variation in phenotypic plasticity enhance population viability?," Ecological Modelling, Elsevier, vol. 352(C), pages 19-30.
    9. Bagnoli, Franco & Guardiani, Carlo, 2005. "A model of sympatric speciation through assortative mating," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 347(C), pages 534-574.
    10. Anderson, James J. & Gurarie, Eliezer & Bracis, Chloe & Burke, Brian J. & Laidre, Kristin L., 2013. "Modeling climate change impacts on phenology and population dynamics of migratory marine species," Ecological Modelling, Elsevier, vol. 264(C), pages 83-97.
    11. Bhattacharyay, A. & Drossel, B., 2005. "Modeling coevolution and sympatric speciation of flowers and pollinators," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 345(1), pages 159-172.
    12. Sakamoto, T. & Innan, H., 2020. "Establishment process of a magic trait allele subject to both divergent selection and assortative mating," Theoretical Population Biology, Elsevier, vol. 135(C), pages 9-18.
    13. Cook, James N. & Oono, Y., 2010. "Competitive localization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(9), pages 1849-1860.
    14. Cecilia Berardo & Iulia Martina Bulai & Ezio Venturino, 2021. "Interactions Obtained from Basic Mechanistic Principles: Prey Herds and Predators," Mathematics, MDPI, vol. 9(20), pages 1-18, October.
    15. Yahuza Lurwanu & Yan-Ping Wang & Waheed Abdul & Jiasui Zhan & Li-Na Yang, 2020. "Temperature-Mediated Plasticity Regulates the Adaptation of Phytophthora infestans to Azoxystrobin Fungicide," Sustainability, MDPI, vol. 12(3), pages 1-15, February.
    16. Reid S. Brennan & James A. deMayo & Hans G. Dam & Michael B. Finiguerra & Hannes Baumann & Melissa H. Pespeni, 2022. "Loss of transcriptional plasticity but sustained adaptive capacity after adaptation to global change conditions in a marine copepod," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    17. E. Kisdi & S.A.H. Geritz, 1999. "Evolutionary Branching and Sympatric Speciation in Diploid Populations," Working Papers ir99048, International Institute for Applied Systems Analysis.
    18. Minke B. W. Langenhof & Jan Komdeur, 2013. "Coping with Change: A Closer Look at the Underlying Attributes of Change and the Individual Response to Unstable Environments," Sustainability, MDPI, vol. 5(5), pages 1-25, April.
    19. José Camacho Mateu & Matteo Sireci & Miguel A Muñoz, 2021. "Phenotypic-dependent variability and the emergence of tolerance in bacterial populations," PLOS Computational Biology, Public Library of Science, vol. 17(9), pages 1-28, September.
    20. Troost, T.A. & Kooi, B.W. & Kooijman, S.A.L.M., 2007. "Bifurcation analysis of ecological and evolutionary processes in ecosystems," Ecological Modelling, Elsevier, vol. 204(1), pages 253-268.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:408:y:2019:i:c:5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.