Temporal dynamics in animal community assembly during post-logging succession in boreal forest

PLoS One. 2018 Sep 20;13(9):e0204445. doi: 10.1371/journal.pone.0204445. eCollection 2018.

Abstract

Species assemblages can result from deterministic processes, such as niche differentiation and interspecific interactions, and from stochastic processes, such as random colonisation and extinction events. Although changes in animal communities following disturbances have been widely examined, few studies have investigated the mechanisms structuring communities during ecological succession. We assessed the impact of logging on small mammal and beetle assemblages in landscapes dominated by old-growth boreal forests. Our objectives were to 1) characterize variations in communities during the first 66 years of post-harvest forest succession, 2) determine if there are non-random patterns of species co-occurrence (i.e., deterministic processes), and if there are, 3) establish whether non-random co-occurrences are best explained by habitat attributes or by interspecific interactions. We captured small mammals and beetles along a gradient of forest succession (5-66 years) and in old-growth forest, and characterized key vegetation attributes. First, we tested whether community compositions in clear-cut stands became similar to those in natural stands after 66 years. We then used null models, which were either unconstrained or constrained by habitat attributes, to address the last two objectives and distinguish effects of vegetation attributes from interspecific interactions on community assembly. We showed that beetle assemblages differed in stands 21-30 years post-harvest compared to old-growth forests. In contrast, harvesting did not influence the composition of small mammal communities. Overall, our results suggest that community assembly during forest succession is driven by both stochastic and deterministic processes, the latter being linked to interspecific interactions more strongly than to vegetation attributes.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Coleoptera
  • Conservation of Natural Resources
  • Ecological and Environmental Phenomena*
  • Mammals
  • Models, Statistical
  • Taiga*
  • Trees*

Associated data

  • Dryad/10.5061/dryad.679s1dt

Grants and funding

This research was funded by the Natural Sciences and Engineering Research Council of Canada (NSERC) - Laval University Industrial Research Chair in Silviculture and Wildlife. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.