. Scientific Frontline: New rapid method to predict effects of conservation actions on complex ecosystems

Thursday, March 28, 2024

New rapid method to predict effects of conservation actions on complex ecosystems

From left: Dr Matthew Adams, Sarah Vollert, Professor Drovandi
Photo Credit: Courtesy of Queensland University of Technology

A new way to analyze the effects of conservation actions on complex ecosystems has cut the modelling time from 108 days to six hours, QUT statisticians have found:

  • Some conservation efforts backfire, eg eradicating feral cats could lead to rabbit explosion
  • Modeling predicts the cascading effects through species in a complex ecosystem, but is computationally slow
  • New method cuts prediction time from 3.5 months to six hours

PhD researcher Sarah Vollert, from the School of Mathematical Sciences and the QUT Centre for Data Sciences, said it was impossible to predict exactly how conservation actions would affect each species.

“Though well-intentioned, conservation actions have the potential to backfire,” Ms. Vollert said.

“For example, if decision-makers decide to eradicate feral cats, it could lead to explosive populations of their prey species, like rabbits.

“Uncontrolled rabbit populations could then have devastating effects on the vegetation, destroying the habitat native species need to survive.

“This hypothetical example shows how challenging it can be to predict the cascading effects of conservation actions, where changes in one species can trigger a chain reaction, affecting many others.”

Ms. Vollert said limited computational power had impeded the capability of mathematical models to identify the probabilities of unintended consequences from conservation actions on each of the species in an ecosystem.

“To get around the problem simplified representations of ecosystems are used to generate results in a reasonable timeframe,” she said.

“In this research, I used some of the latest data-science techniques in the field of approximate Bayesian statistics to increase the efficiency of conservation risk analyses, without sacrificing any accuracy.

“These connections hadn’t been solidified before, yet connecting this ecosystem planning tool to Bayesian statistics allowed us to develop faster methods. 

“Using my new methods, when we considered Victoria’s Phillip Island’s ecosystem with complex species interactions described by ecologists, we generated the model in six hours. 

“But, to have used the existing tools would have taken 3.5 months.

“This faster method means ecologists don’t need to simplify their understanding of an ecosystem to use the conservation risk assessment tool.”

Published in journalPLoS Computational Biology

Title: Unlocking ensemble ecosystem modelling for large and complex networks

Authors: Sarah A. Vollert, Christopher Drovandi, and Matthew P. Adams

Source/CreditQueensland University of Technology

Reference Number: eco032824_01

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