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Cutting-edge tool helps predict impact of invasive species

Date:
March 19, 2015
Source:
University of Waterloo
Summary:
Researchers have published results of a powerful new tool that could give ecologists new ways of tackling problems posed by deadly invasive species like Asian carp and Zebra mussels.Invasive species cost us more in environmental, economic, and health-care related damages than all other natural disasters combined. Being able to predict how a species 'fits' into an environment -- the so-called species niche -- can help managers prevent, predict, and manage the next big invasion.
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Researchers at the University of Waterloo have published results of a powerful new tool that could give ecologists new ways of tackling problems posed by deadly invasive species like Asian carp and Zebra mussels.

Invasive species cost us more in environmental, economic, and health-care related damages than all other natural disasters combined. Being able to predict how a species 'fits' into an environment -- the so-called species niche -- can help managers prevent, predict, and manage the next big invasion.

Biology professors Heidi Swanson and Michael Power and Statistics and Actuarial Science professor Martin Lysy have created a new statistical tool that gives ecologists an innovative way to quantify species niches and how they overlap with each other.

"Ecology is increasingly becoming a quantitative discipline. We as ecologists don't always have the mathematical or statistical background necessary to solve quantitative ecological problems," said Swanson. "I was lucky enough to meet Martin Lysy at a new faculty social when we both arrived at University of Waterloo and we developed a really great collaboration."

Their statistical tool, nicheROVER, is able to analyse multiple, customizable ecological niche parameters and identify the overlap between species.

Their results are presented this month in the journal Ecology. The authors also include PhD student Ashley Stasko and scientists from Fisheries and Oceans Canada.

In recent years, ecologists have increasingly relied on stable isotope ratios to define and quantify part of an organism's niche. Stable isotope ratios of carbon and nitrogen are especially popular in ecological studies.

The problem is that nearly all off-the-shelf statististical packages that evolved from using isotopes only allow for analysis in two dimensions.

Niches are a fundamental concept in ecology and were defined by G. Evelyn Hutchison in 1957 as an n-dimensional hyper volume, meaning that parameters -- where and when a species lives, eats, and spawns -- can be mapped and compared between species.

Results from nicheROVER can show whether a species occupies a specific part of the ecosystem or if it overlaps and potentially competes directly with other species for food, space and spawning grounds. Ecologists can now combine classic stable istopic tracers with any number of parameters, like temperature range, salinity, or newly discovered isotopic tracers.

Niche overlap is especially important in the context of invasive species. Managers can use the results to make more informed predictions about how native species will be affected by an invasion or even how species ranges may be extended due to climate change.

Swanson cautions that although nicheROVER is more flexible and more powerful than other niche analysis tools, it's up to the ecologist to get the most meaningful results.


Story Source:

Materials provided by University of Waterloo. Note: Content may be edited for style and length.


Journal Reference:

  1. Heidi K. Swanson, Martin Lysy, Michael Power, Ashley D. Stasko, Jim D. Johnson, James D. Reist. A new probabilistic method for quantifyingn-dimensional ecological niches and niche overlap. Ecology, 2015; 96 (2): 318 DOI: 10.1890/14-0235.1

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University of Waterloo. "Cutting-edge tool helps predict impact of invasive species." ScienceDaily. ScienceDaily, 19 March 2015. <www.sciencedaily.com/releases/2015/03/150319105319.htm>.
University of Waterloo. (2015, March 19). Cutting-edge tool helps predict impact of invasive species. ScienceDaily. Retrieved April 25, 2024 from www.sciencedaily.com/releases/2015/03/150319105319.htm
University of Waterloo. "Cutting-edge tool helps predict impact of invasive species." ScienceDaily. www.sciencedaily.com/releases/2015/03/150319105319.htm (accessed April 25, 2024).

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