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. 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.
    2. Ulf Dieckmann & Michael Doebeli, 1999. "On the origin of species by sympatric speciation," Nature, Nature, vol. 400(6742), pages 354-357, July.
    3. U. Dieckmann & M. Doebeli, 1999. "On the Origin of Species by Sympatric Speciation," Working Papers ir99013, International Institute for Applied Systems Analysis.
    4. 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.
    5. 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).
    6. 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.
    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. Wesley R. Brooks & Stephen C. Newbold, 2013. "Ecosystem damages in integrated assessment models of climate change," NCEE Working Paper Series 201302, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Mar 2013.
    3. Débarre, Florence & Otto, Sarah P., 2016. "Evolutionary dynamics of a quantitative trait in a finite asexual population," Theoretical Population Biology, Elsevier, vol. 108(C), pages 75-88.
    4. Jonathan Newton, 2017. "The preferences of Homo Moralis are unstable under evolving assortativity," International Journal of Game Theory, Springer;Game Theory Society, vol. 46(2), pages 583-589, May.
    5. Åke Brännström & Jacob Johansson & Niels Von Festenberg, 2013. "The Hitchhiker’s Guide to Adaptive Dynamics," Games, MDPI, vol. 4(3), pages 1-25, June.
    6. 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.
    7. Robert J. Knell & Stephen J. Thackeray, 2016. "Voltinism and resilience to climate-induced phenological mismatch," Climatic Change, Springer, vol. 137(3), pages 525-539, August.
    8. 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.
    9. 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.
    10. Blath, Jochen & Paul, Tobias & Tóbiás, András & Wilke Berenguer, Maite, 2024. "The impact of dormancy on evolutionary branching," Theoretical Population Biology, Elsevier, vol. 156(C), pages 66-76.
    11. Boettiger, Carl & Dushoff, Jonathan & Weitz, Joshua S., 2010. "Fluctuation domains in adaptive evolution," Theoretical Population Biology, Elsevier, vol. 77(1), pages 6-13.
    12. Ayllón, Daniel & Railsback, Steven F. & Vincenzi, Simone & Groeneveld, Jürgen & Almodóvar, Ana & Grimm, Volker, 2016. "InSTREAM-Gen: Modelling eco-evolutionary dynamics of trout populations under anthropogenic environmental change," Ecological Modelling, Elsevier, vol. 326(C), pages 36-53.
    13. Freitas, Osmar & Araujo, Sabrina B.L. & Campos, Paulo R.A., 2022. "Speciation in a metapopulation model upon environmental changes," Ecological Modelling, Elsevier, vol. 468(C).
    14. 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.
    15. Svardal, Hannes & Rueffler, Claus & Hermisson, Joachim, 2015. "A general condition for adaptive genetic polymorphism in temporally and spatially heterogeneous environments," Theoretical Population Biology, Elsevier, vol. 99(C), pages 76-97.
    16. Harry R Harding & Timothy A C Gordon & Emma Eastcott & Stephen D Simpson & Andrew N Radford & Leigh Simmons, 2019. "Causes and consequences of intraspecific variation in animal responses to anthropogenic noise," Behavioral Ecology, International Society for Behavioral Ecology, vol. 30(6), pages 1501-1511.
    17. Costa, Carolina L.N. & Marquitti, Flavia M.D. & Perez, S. Ivan & Schneider, David M. & Ramos, Marlon F. & de Aguiar, Marcus A.M., 2018. "Registering the evolutionary history in individual-based models of speciation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 1-14.
    18. Jonathan Newton, 2018. "Evolutionary Game Theory: A Renaissance," Games, MDPI, vol. 9(2), pages 1-67, May.
    19. Champagnat, Nicolas, 2006. "A microscopic interpretation for adaptive dynamics trait substitution sequence models," Stochastic Processes and their Applications, Elsevier, vol. 116(8), pages 1127-1160, August.
    20. E. Kisdi & F.J.A. Jacobs & S.A.H. Geritz, 2000. "Red Queen Evolution by Cycles of Evolutionary Branching and Extinction," Working Papers ir00030, International Institute for Applied Systems Analysis.

    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.