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Category Archives: Detectability
CSI: Ecology. Efficiency of eDNA sampling
Detecting a species from the DNA it left behind seems so much like CSI: Ecology. DNA deposited in the environment (eDNA for the cool kids), which can then be collected and identified, is increasingly advocated for ecological studies (Ficetola et … Continue reading
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 Alana Moore, Cindy Hauser, ecological surveys, ecology, environmental decisions, imperfect detection, Michael McCarthy, mick mccarthy, models, optimization, probability, research, uncertainty
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
My talk at #ISEC2014
I’m speaking tomorrow on the last afternoon of the International Statistical Ecology Conference in Montpellier. I’ll be arguing that usual metrics (e.g., AIC) to measure the performance of species distribution models (SDMs) might not actually be relevant for selecting models … Continue reading
Optimal monitoring when detectability varies – my talk at #ESAus2012
Edit: A paper based on this work has now been published in PLoS One (open access, i.e. free). doi: 10.1371/journal.pone.0115345. I’m looking forward to the Ecological Society of Australia conference this week. I’m speaking in the second time slot (2:15 … Continue reading
Posted in CEED, Communication, Detectability, Ecological models, New research, Probability and Bayesian analysis
Tagged #ESAus2012, detectability, detection rate, ecological surveys, ecology, environmental decisions, models, monitoring, research, science, science communication, uncertainty
4 Comments
Detectability and traits of plants
If you’ve seen previous posts, you would realise that I am interested in the topic of imperfect detectability in field surveys. I’m interested in what influences detectability, how to account for it in analyses, and what it means when designing … Continue reading
The detection of species and their abundance
Update (this has now been published): McCarthy, M.A., Moore, J.L., Morris, W.K., Parris, K.M., Garrard, G.E., Vesk, P.A., Rumpff, L., Giljohann, K.M., Camac, J.S., Bau, S.S., Friend, T., Harrison, B., and Yue, B. (2013). The influence of abundance on detectabiliy. … Continue reading
Posted in Detectability, New research
Tagged detectability, detection rate, ecological surveys, ecology, models
3 Comments
L’Oréal Australia and New Zealand For Women in Science Fellowships 2012
Applications for the 2012 L’Oréal Australia and New Zealand For Women in Science Fellowships are now open. The three $25,000 Fellowships are intended to help early career women scientists consolidate their careers and rise to leadership positions in science. The … Continue reading
Posted in CEED, Detectability, Ecological models, NERP, New research, Women in science
Tagged adaptive management, biodiversity, detectability, ecological surveys, ecology, environmental decisions, extinction, mick mccarthy, models, monitoring, research, science, science fellowships, uncertainty, women scientists
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Interpreting non-detection when observations are imperfect
How long should you search before deciding that your target is absent? This is a problem that is fundamental to any ecological study that aims to determine the absence of a species. It will be important in studies of extinction, … Continue reading
Coextinction and recognition for unloved threatened species
I love this quote from Bob May (1986) – “to a good approximation, all species are insects”. Mark Burgman and David Lindenmayer’s (1998) book communicates that point beautifully, with an illustration by Kate Thompson in which the size of the … Continue reading
Posted in CEED, Detectability, Probability and Bayesian analysis
Tagged detectability, ecology, extinction, mick mccarthy, models, qaeco.com, uncertainty
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Michael McCarthy's Research 
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