Author Archives: qaecology

Culling animals “ethically”

In reading group earlier this month Linda Riquelme led a discussion on the issue of wildlife culling. This is something that relates to projects a few of us in the lab work on. For example, the management of endangered Buloke Woodlands in … Continue reading

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Is there truly “no saturation in the accumulation of alien species worldwide”?

In reading group last week (May 11th) Hannah Fraser brought the group a paper reflecting a synergy between QAECO interests and her current role in the Centre of Excellence for Biosecurity Risk Analysis. This paper by Seebens et al. (2017) … Continue reading

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Life in corrupt science: when metrics become targets

‘Publish or perish’. The overused phrase describing career aspects in today’s academia. Whereas day-to-day work is rarely quite as grim, we all learn early on that our performance as scientists is very much measured by the number of publications, citations, … Continue reading

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Wanting to learn Species Distribution Modelling? Consider enrolling in our online subject!

Are you interested in modelling? Are you a graduate student, and your project involves studying species distributions? Or maybe you are a research professional or a manager wanting to expand your quantitative skills? Species distribution modelling is one of the … Continue reading

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Reading group: An Italian wolf in Switzerland

In reading group this fortnight (March 16th) we talked about the social acceptability of Italian wolves in Switzerland based on a recent article available online at Journal of Applied Ecology: Behr, D.M., Ozgul, A. & Cozzi, G. (2017). Combining human … Continue reading

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Qaeco’s favourite papers of 2016

A little late off the mark this time around, we asked people in the lab to nominate a paper they had enjoyed in 2016. This year, we based one of our fortnightly reading groups on this topic and everyone gave … Continue reading

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Soft ecology

Ecologists are multi-talented folk (if we do say so ourselves!). A diverse set of skills are required to write grants, heft field-gear over mountains, code statistical analyses, run simulation models, draft manuscripts and chat with the media. Less obvious, however, … Continue reading

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