Data from: Distributional shifts – not geographic isolation – as a probable driver of montane species divergence

Main Authors: Knowles, L. Lacey, Massatti, Robert, Massatti, Rob
Format: info dataset Journal
Terbitan: , 2017
Subjects:
Online Access: https://zenodo.org/record/5011864
Daftar Isi:
  • As biodiversity hotspots, montane regions have been a focus of research to understand the divergence process. Like their oceanic counterparts, the diversity of the "sky islands" might be ascribed to geographic isolation of mountaintops. However, because the sky islands, and especially those in northern latitudes, are subject to extreme climatic events such as the glacial cycles that drove both altitudinal and geographical shifts in species' distributions, the dynamic colonization process is also a possible factor driving divergence. Here we test these two hypotheses (i.e., isolation versus colonization) in a flightless montane grasshopper, Melanoplus oregonensis, which is a member of a diverse group that radiated across the Rocky Mountains of North America. Using approximate Bayesian computation (ABC) and spatially explicit simulations that account for spatial heterogeneity and temporal shifts in species distributions, we show that a colonization model of the sky islands from refugial populations provides a significantly better fit to the empirical genetic data than a model of the geographic isolation among sky islands. Moreover, support for the colonization model holds irrespective of whether the movement of individuals was modeled as a diffusion process or was informed by differences in habitat suitabilities across the landscape. With validation analyses to confirm the models provide a good fit to the data, as well as general power and quality analyses, the research not only adds to a growing body of work on the complex dynamics underlying montane biodiversity, but it also provides much needed evaluation of competing hypotheses based on explicit models of the divergence process, as opposed to inferences about diversification drivers from species diversity patterns.
  • ENM for sky island isolation modelThis is the ENM model used to generate simulation under the sky island isolation model for testing using iDDCENM_14source.zipREADMEThis readme file explains the content of the other files in this submission, which include details about the analyses with specific programs that were used.ENM_2sourceThis file contains the ecological niche models used to generate simulated data under the colonization model for tests using iDDCfinal-loc-for-maxentGeoreferenced localities of Melanoplus oregonensisGLM procedure for ABCGLM.zipIBD_2sourceFunding provided by: National Science FoundationCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000001Award Number: DEB-0447224