PLoS ONE (Jan 2017)

Investigating the effect of forestry on leaf-litter arthropods (Algonquin Park, Ontario, Canada).

  • M Alex Smith,
  • Amanda Boyd,
  • Amelia Chan,
  • Simonne Clout,
  • Paulson des Brisay,
  • Sarah Dolson,
  • Thanushi Eagalle,
  • Sean Espinola,
  • Aaron Fairweather,
  • Sydney Frank,
  • Christopher Fruetel,
  • Cristina Garrido Cortes,
  • James Hall,
  • Chris Ho,
  • Eryk Matczak,
  • Sandra McCubbin,
  • Megan McPhee,
  • Kate A Pare,
  • Kelsie Paris,
  • Ellen Richard,
  • Morgan Roblin,
  • Cassandra Russell,
  • Ryan Snyder,
  • Carolyn Trombley,
  • Tyler Schmitt,
  • Caitlin Vandermeer,
  • Connor Warne,
  • Natasha Welch,
  • Chelsie Xavier-Blower

DOI
https://doi.org/10.1371/journal.pone.0178568
Journal volume & issue
Vol. 12, no. 6
p. e0178568

Abstract

Read online

Arthropods are the most diverse taxonomic group of terrestrial eukaryotes and are sensitive to physical alterations in their environment such as those caused by forestry. With their enormous diversity and physical omnipresence, arthropods could be powerful indicators of the effects of disturbance following forestry. When arthropods have been used to measure the effects of disturbance, the total diversity of some groups is often found to increase following forestry. However, these findings are frequently derived using a coarse taxonomic grain (family or order) to accommodate for various taxonomic impediments (including cryptic diversity and poorly resourced taxonomists). Our intent with this work was to determine the diversity of arthropods in and around Algonquin Park, and how this diversity was influenced by disturbance (in this case, forestry within the past 25 years). We used DNA barcode-derived diversity estimates (Barcode Index Number (BIN) richness) to avoid taxonomic impediments and as a source of genetic information with which we could conduct phylogenetic estimates of diversity (PD). Diversity patterns elucidated with PD are often, but not always congruent with taxonomic estimates-and departures from these expectations can help clarify disturbance effects that are hidden from richness studies alone. We found that BIN richness and PD were greater in disturbed (forested) areas, however when we controlled for the expected relationship between PD and BIN richness, we found that cut sites contained less PD than expected and that this diversity was more phylogenetically clustered than would be predicted by taxonomic richness. While disturbance may cause an evident increase in diversity, this diversity may not reflect the full evolutionary history of the assemblage within that area and thus a subtle effect of disturbance can be found decades following forestry.