Weighing the Evidence for the Abundant-Center Hypothesis

Authors

  • Tad A. Dallas Department of Biological Sciences, Louisiana State University, Baton Rouge, USA
  • Luca Santini Department of Environmental Science, Institute for Wetland and Water Research, Faculty of Science, Radboud University, The Netherlands
  • Robin Decker Department of Integrative Biology, University of Texas, Austin, USA
  • Alan Hastings Department of Environmental Science and Policy, University of California, Davis, USA

DOI:

https://doi.org/10.17161/bi.v15i3.11989

Abstract

The abundant-center hypothesis posits that species density should be highest in the center of the geographic range or climatic niche of a species, based on the idea that the center of either will be the area with the highest demographic performance (e.g., greater fecundity, survival, or carrying capacity). While intuitive, current support for the hypothesis is quite mixed. Here, we discuss the current state of the abundant-center hypothesis, highlighting the relatively low level of support for the relationship. We then discuss the potential reasons for this lack of empirical support, emphasizing the inherent ecological complexity which may prevent the observation of the abundant-center in natural systems. This includes the role of non-equilibrial population dynamics, species interactions, landscape structure, and dispersal processes, as well as variable data quality and inconsistent methodology. The incorporation of this complexity into studies of the distribution of species densities in geographic or niche space may underlie the limited empirical support for the abundant-center hypothesis. We end by discussing potentially fruitful research avenues. Most notably, we highlight the need for theoretical development and controlled experimental testing of the abundant-center hypothesis.

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Published

2020-11-17

Issue

Section

Articles (peer-reviewed)

How to Cite

Dallas, Tad A., Luca Santini, Robin Decker, and Alan Hastings. 2020. “Weighing the Evidence for the Abundant-Center Hypothesis”. Biodiversity Informatics 15 (3): 81-91. https://doi.org/10.17161/bi.v15i3.11989.