Article thumbnail

Pitfalls in quantifying species turnover: the residency effect

By Kevin Chase Burns


<p class="Body1">The composition of ecological communities changes continuously through time and space. Understanding this turnover in species composition is a central goal in biogeography, but quantifying species turnover can be problematic. Here, I describe an underappreciated source of bias in quantifying species turnover, namely ‘the residency effect’, which occurs when the contiguous distributions of species across sampling domains are small relative to census intervals. I present the results of a simulation model that illustrates the problem theoretically and then I demonstrate the problem empirically using a long-term dataset of plant species turnover on islands. Results from both exercises indicate that empirical estimates of species turnover may be susceptible to significant observer bias, which may potentially cloud a better understanding of how the composition of ecological communities changes through time.</p><br /><!--?xml:namespace prefix = "o" ns = "urn:schemas-microsoft-com:office:office" /--

Topics: Extinction, immigration, island biogeography, methods, plants, sample bias, Ecology, QH540-549.5, Microbial ecology, QR100-130
Publisher: International Biogeography Society
Year: 2014
OAI identifier:
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • (external link)
  • (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.