Tag Archives: Michael McCarthy

Simple Adaptive Management

This post gives some details of my speed talk at the SCB Oceania conference, which is in room P9 on Thursday 7 July at 11:50 as part of a session on conservation planning and adaptive management. We have submitted this … Continue reading

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While I was sleeping: optimising ecological surveys over space and time

With the recent online publication of a new paper, here’s a blog post about how the research arose – a fun confluence of mathematical and cognitive collaboration across two sides of the world. And some of it was achieved while … Continue reading

Posted in CEED, Detectability, Ecological models, New research, Probability and Bayesian analysis | Tagged , , , , , , , , , , , , | 1 Comment

Biodiversity management and unplanned fires

Edit: Missed my seminar? You can listen to a recording with a copy of the slides: http://unimelb.adobeconnect.com/p913xeq1mjx/ I’m doing a seminar today at Creswick on fire and biodiversity (9:30 a.m., Melbourne time). My talk will discuss unplanned fires, how their … Continue reading

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Triage does not mean abandoning the most threatened species

Species triage has been in the news lately. The reports might create the impression that we should give up trying to save the most threatened species. Let me be clear: The science underpinning species triage does not say saving the … Continue reading

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Joint Species Distribution Models

Update: The paper is now available (free) from Methods in Ecology and Evolution. Update 2: In the tutorial on how to use this method, we refer to the file “fit.JSDM.r”. This is the R script on the journal website named, … Continue reading

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The yellow-bellied sapsucker & I

I work in The University of Melbourne’s School of Botany, yet I study a range of organisms, not just plants. I’m particularly pleased when I get to work on invertebrates, because they are critical to ecosystem function on Earth, yet … Continue reading

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Anonymity and peer review

The world of peer review is badly broken, at least according to the blogosphere. Anonymity of reviewers could lead to poorer reviews because reviewers remain unaccountable. Consequently, fully open reviews are used at some journals such as F1000Research. In addition … Continue reading

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