IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v431y2020ics0304380020301927.html
   My bibliography  Save this article

Assessing the dynamics of hybridization through a matrix modelling approach

Author

Listed:
  • Santostasi, Nina Luisa
  • Ciucci, Paolo
  • Bearzi, Giovanni
  • Bonizzoni, Silvia
  • Gimenez, Olivier

Abstract

Hybridization affects the evolution and conservation status of species and populations. Because the dynamics of hybridization is driven by reproduction and survival of parental and admixed individuals, demographic modelling is a valuable tool to assess the effects of hybridization on population viability, e.g., under different management scenarios. While matrix models have been used to assess the long-term consequences of hybridization between crops and wild plants, to our knowledge they have not been developed for animal species. Here, we present a new matrix population model to project population dynamics in a system with two parental species or populations that interbreed. We consider the dynamics of males and females of the two parental groups as separate components, each described by species-specific vectors of initial abundance and projection matrices. Then we model hybridization as the production of hybrid fertile offspring due to the interaction of reproductive individuals of different parental species. Finally, we apply the model to two real-world case studies regarding a terrestrial and a marine mammal species in the presence of hybridization. Specifically, we investigate 1) the genomic extinction probability of two interbreeding dolphin species within a semi-enclosed gulf in Greece, under different hybrids’ fitness scenarios, 2) the possible outcomes of wolf x dog hybridization events for an expanding wolf population in Italy, under different reproductive isolation scenarios, 3) the sensitivity of the probability of genomic extinction to the main demographic parameters in the two case studies.

Suggested Citation

  • Santostasi, Nina Luisa & Ciucci, Paolo & Bearzi, Giovanni & Bonizzoni, Silvia & Gimenez, Olivier, 2020. "Assessing the dynamics of hybridization through a matrix modelling approach," Ecological Modelling, Elsevier, vol. 431(C).
  • Handle: RePEc:eee:ecomod:v:431:y:2020:i:c:s0304380020301927
    DOI: 10.1016/j.ecolmodel.2020.109120
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380020301927
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2020.109120?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. Nathan, Lucas R. & Mamoozadeh, Nadya & Tumas, Hayley R. & Gunselman, Samuel & Klass, Keren & Metcalfe, Anya & Edge, Chris & Waits, Lisette P. & Spruell, Paul & Lowery, Erin & Connor, Ed & Bearlin, And, 2019. "A spatially-explicit, individual-based demogenetic simulation framework for evaluating hybridization dynamics," Ecological Modelling, Elsevier, vol. 401(C), pages 40-51.
    2. Nina Luisa Santostasi & Silvia Bonizzoni & Giovanni Bearzi & Lavinia Eddy & Olivier Gimenez, 2016. "A Robust Design Capture-Recapture Analysis of Abundance, Survival and Temporary Emigration of Three Odontocete Species in the Gulf of Corinth, Greece," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-21, December.
    3. Marescot, Lucile & Gimenez, Olivier & Duchamp, Christophe & Marboutin, Eric & Chapron, Guillaume, 2012. "Reducing matrix population models with application to social animal species," Ecological Modelling, Elsevier, vol. 232(C), pages 91-96.
    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. Bauduin, Sarah & Grente, Oksana & Santostasi, Nina Luisa & Ciucci, Paolo & Duchamp, Christophe & Gimenez, Olivier, 2020. "An individual-based model to explore the impacts of lesser-known social dynamics on wolf populations," Ecological Modelling, Elsevier, vol. 433(C).
    2. Hatlauf, J. & Kunz, F. & Griesberger, P. & Sachser, F. & Hackländer, K., 2024. "A stage-based life cycle implementation for individual-based population viability analyses of grey wolves (Canis lupus) in Europe," Ecological Modelling, Elsevier, vol. 491(C).
    3. Chapron, Guillaume & Wikenros, Camilla & Liberg, Olof & Wabakken, Petter & Flagstad, Øystein & Milleret, Cyril & Månsson, Johan & Svensson, Linn & Zimmermann, Barbara & Åkesson, Mikael & Sand, Håkan, 2016. "Estimating wolf (Canis lupus) population size from number of packs and an individual based model," Ecological Modelling, Elsevier, vol. 339(C), pages 33-44.
    4. Logofet, Dmitrii O., 2017. "Aggregation may or may not eliminate reproductive uncertainty," Ecological Modelling, Elsevier, vol. 363(C), pages 187-191.
    5. Manan Gupta & Amitabh Joshi & T N C Vidya, 2017. "Effects of social organization, trap arrangement and density, sampling scale, and population density on bias in population size estimation using some common mark-recapture estimators," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-24, March.
    6. Yauck, Mamadou & Rivest, Louis-Paul, 2019. "On the estimation of population sizes in capture–recapture experiments," Journal of Multivariate Analysis, Elsevier, vol. 173(C), pages 512-524.
    7. Gimenez, Olivier & Mansilla, Lorena & Klaich, M. Javier & Coscarella, Mariano A. & Pedraza, Susana N. & Crespo, Enrique A., 2019. "Inferring animal social networks with imperfect detection," Ecological Modelling, Elsevier, vol. 401(C), pages 69-74.
    8. Thibaut Couturier & Sarah Bauduin & Guillelme Astruc & Aurélie Blanck & Coline Canonne & Thierry Chambert & Jules Chiffard & Alix Cosquer & Sarah Cubaynes & Laurence Curtet & Emmanuelle Dortel & Nolwe, 2023. "Building spaces of interactions between researchers and managers," Post-Print hal-04125409, HAL.

    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:431:y:2020:i:c:s0304380020301927. 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.