Martin Westgate

Science Advisor
Atlas of Living Australia

Visiting Fellow
Fenner School of Environment & Society
Australian National University

  About Me




Hosted on GitHub Pages — Theme by orderedlist

Managing interacting disturbances: lessons from a case study in Australian forests.

DB Lindenmayer, CN Foster, MJ Westgate, BC Scheele & W Blanchard (2020) Journal of Applied Ecology 10.1111/1365-2664.13696

First published 2020-06-07


  1. Ecosystems are shaped by a range of drivers including human and natural disturbances. They also may be subject to interactions between disturbances which can affect ecological processes, biodiversity, and ecosystem condition; yet few ecosystems have been subject to studies of the effects of interacting disturbances. This limits understanding of ways to mitigate the impacts of interacting disturbances.
  2. Over the past 37 years, we have completed a range of studies of interacting effects in the Mountain Ash (Eucalyptus regnans) forests of south-eastern Australia. Here we summarize evidence for interacting disturbances in this ecosystem. This includes evidence of linked or coupled disturbances (termed interaction chains; sensu Foster et al. 2016) between logging and subsequent fire severity. We also describe effects of other interacting disturbances such as those resulting from post-fire (salvage) logging as well as landscape-level, spatio-temporal changes in forest cover associated with logging and wildfires.
  3. Synthesis and applications. Insights from research in Mountain Ash forests provide broader lessons for managing interacting disturbances in forest ecosystems. These include the importance of cataloguing and mapping multiple disturbances in both space and time and developing conceptual models of ecosystem dynamics and ecological processes. Where there is a high risk of interactions between disturbances, appropriate management actions could include: (1) eliminating some drivers or re-assessing levels of human extraction of resources, (2) reducing the spatial and/or temporal overlap of drivers, and (3) identifying leverage points where management actions are most likely to be effective.

Article attributes

Theme: applied_ecology
Type: essay