Supplementary data for: Using mathematical modelling to investigate the adaptive divergence of whitefish in Fennoscandia

DOI

These data constitute the supplementary material for the publication "Using mathematical modelling to investigate the adaptive divergence of whitefish in Fennoscandia". The dataset forms the results for the entire parameter space used in simulations. Please read the following abstract from publication for more detail about the nature of the project. Modern speciation theory has greatly benefited from a variety of simple mathematical models focusing on the conditions and patterns of speciation and diversification in the presence of geneflow. Unfortunately the application of general theoretical concepts and tools to specific ecological systems remains a challenge. Here we apply modeling tools to better understand adaptive divergence of whitefish during the postglacial period in lakes of northern Fennoscandia. These lakes harbor up to three different morphs associated with the three major lake habitats: littoral, pelagic, and profundal. Using large-scale individual-based simulations, we aim to identify factors required for in situ emergence of the pelagic and profundal morphs in lakes initially colonized by the littoral morph. The importance of some of the factors we identify and study - sufficiently large levels of initial genetic variation, size- and habitat-specific mating, sufficiently large carrying capacity of the new niche - is already well recognized. In addition, our model also points to two other factors that have been largely disregarded in theoretical studies: fitness-dependent dispersal and strong predator pressure in the ancestral niche coupled with the lack of it in the new niche(s). We use our theoretical results to speculate about the process of diversification of whitefish in Fennoscandia and to identify potentially profitable directions for future empirical research.

Identifier
DOI https://doi.org/10.18710/PI8PJQ
Related Identifier https://doi.org/10.1038/s41598-020-63684-3
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/PI8PJQ
Provenance
Creator Thibert-Plante, Xavier ORCID logo; Præbel, Kim ORCID logo; Østbye, Kjartan; Kahilainen, Kimmo K (ORCID: 0000-0002-1539-014X); Amundsen, Per-Arne ORCID logo; Gavrilets, Sergey
Publisher DataverseNO
Contributor Præbel, Kim; UiT The Arctic University of Norway
Publication Year 2020
Funding Reference The Research Council of Norway 186320 ; Office of Naval Research W911NF-17-1-0150 ; National Science Foundation EF-0832858 ; National Science Foundation DBI-1300426
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Præbel, Kim (UiT The Arctic University of Norway)
Representation
Resource Type model simulations; Dataset
Format text/plain; application/x-gzip
Size 2313; 274474674
Version 1.5
Discipline Life Sciences; Medicine