AI Article Synopsis

  • - Connectivity among populations is crucial for understanding their dynamics and evolution, and accurately defining evolutionary units (like populations and species) is essential for ecology and conservation biology.
  • - There is a disconnect between taxonomists and molecular ecologists, especially in marine environments, where many species remain unidentified and cryptic species are common, leading to biased estimates of population connectivity.
  • - The study proposes ways to improve species delimitation by treating it as testable hypotheses and suggests better sampling strategies to enhance the accuracy of connectivity studies in relation to taxonomic work.

Article Abstract

Connectivity among populations determines the dynamics and evolution of populations, and its assessment is essential in ecology in general and in conservation biology in particular. The robust basis of any ecological study is the accurate delimitation of evolutionary units, such as populations, metapopulations and species. Yet a disconnect still persists between the work of taxonomists describing species as working hypotheses and the use of species delimitation by molecular ecologists interested in describing patterns of gene flow. This problem is particularly acute in the marine environment where the inventory of biodiversity is relatively delayed, while for the past two decades, molecular studies have shown a high prevalence of cryptic species. In this study, we illustrate, based on marine case studies, how the failure to recognize boundaries of evolutionary-relevant unit leads to heavily biased estimates of connectivity. We review the conceptual framework within which species delimitation can be formalized as falsifiable hypotheses and show how connectivity studies can feed integrative taxonomic work and vice versa. Finally, we suggest strategies for spatial, temporal and phylogenetic sampling to reduce the probability of inadequately delimiting evolutionary units when engaging in connectivity studies.

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Source
http://dx.doi.org/10.1111/mec.13048DOI Listing

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