Literature DB >> 28878061

Predictable invasion dynamics in North American populations of the Eurasian collared dove Streptopelia decaocto.

Kathryn Ingenloff1, Christopher M Hensz1, Tashitso Anamza1, Vijay Barve1, Lindsay P Campbell1, Jacob C Cooper1, Ed Komp1, Laura Jimenez1, Karen V Olson1, Luis Osorio-Olvera1, Hannah L Owens1, A Townsend Peterson2, Abdallah M Samy1, Marianna Simões1, Jorge Soberón1.   

Abstract

Species invasions represent a significant dimension of global change yet the dynamics of invasions remain poorly understood and are considered rather unpredictable. We explored interannual dynamics of the invasion process in the Eurasian collared dove (Streptopelia decaocto) and tested whether the advance of the invasion front of the species in North America relates to centrality (versus peripherality) within its estimated fundamental ecological niche. We used ecological niche modelling approaches to estimate the dimensions of the fundamental ecological niche on the Old World distribution of the species, and then transferred that model to the New World as measures of centrality versus peripherality within the niche for the species. Although our hypothesis was that the invasion front would advance faster over more favourable (i.e. more central) conditions, the reverse was the case: the invasion expanded faster in areas presenting less favourable (i.e. more peripheral) conditions for the species as it advanced across North America. This result offers a first view of a predictive approach to the dynamics of species' invasions, and thereby has relevant implications for the management of invasive species, as such a predictive understanding would allow better anticipation of coming steps and advances in the progress of invasions, important to designing and guiding effective remediation and mitigation efforts.
© 2017 The Author(s).

Entities:  

Keywords:  Maxent; abundant centre; ecological niche modelling; invasion dynamics; minimum volume ellipsoid; niche centroid

Mesh:

Year:  2017        PMID: 28878061      PMCID: PMC5597832          DOI: 10.1098/rspb.2017.1157

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


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