2 Works

Data from: Metabarcoding and mitochondrial metagenomics of endogean arthropods to unveil the mesofauna of the soil

Paula Arribas, Carmelo Andújar, Kevin Hopkins, Matthew Shepherd & Alfried P. Vogler
Biological communities inhabiting the soil are among the most diversified, complex and yet most poorly studied terrestrial ecosystems. The greatest knowledge gaps apply to the arthropod mesofauna (0·1–2 mm body size) because conventional morphological and molecular approaches are in many cases insufficient for the characterisation of these complex communities. The development of high-throughput sequencing (HTS) methodologies is required to solve current impediments and to further advance our understanding of below-ground biodiversity. We propose a flotation–Berlese–flotation...

Data from: Fractal measures of spatial pattern as a heuristic for return rate in vegetative systems

Michael A. Irvine, Emma L. Jackson, Emma J. Kenyon, Kevan J. Cook, Matthew J. Keeling & James C. Bull
Measurement of population persistence is a long-standing problem in ecology; in particular, whether it is possible to gain insights into persistence without long time-series. Fractal measurements of spatial patterns, such as the Korcak exponent or boundary dimension, have been proposed as indicators of the persistence of underlying dynamics. Here we explore under what conditions a predictive relationship between fractal measures and persistence exists. We combine theoretical arguments with an aerial snapshot and time series from...

Registration Year

  • 2016
    2

Resource Types

  • Dataset
    2

Affiliations

  • Natural England
    2
  • University of Sussex
    1
  • University of Warwick
    1
  • Central Queensland University
    1
  • Natural History Museum
    1
  • Swansea University
    1