We’re looking at detectability this week in Environmental Monitoring & Audit. Here are some relevant links:
1. First, check out
Guru and Jose’s video explaining why detectability is important in species distribution models (there’s also some bloopers).
2. Then we have Georgia’s post about
setting minimum survey effort requirements to detect a species at a site.
3. Another by Georgia about her
trait-based model of detection.
4. And finally, a paper showing that Georgia’s time to detection model can
efficiently estimate detectability.
And if you want more about detectability, check out
a few posts of mine.
The subject Environmental Monitoring and Audit starts today. We’ll be delving into some statistics, so my
introductory chapter on statistical inference for an upcoming book might be useful.
And we’ll be using R, so if you need a quick introduction, check out
Liz Martin’s blog.
Edit: And if you want some more information about double sampling (from Angus’ lecture today), please read this blog post.
We’ve been covering a lot of topics related to detectability in EM&A. You can read a few different posts about detectability via my
In the lecture today in Environmental Monitoring and Audit, I mentioned the model examining how much search effort is required to be sufficiently sure of the absence of a species at a site. This was based on a paper by Brendan Wintle et al. (2012).
You can read more about this topic
here, with an attempt at an intuitive interpretation of the model, and some links to other examples where the prior probability (base rate) matters.
If you are particularly keen, you can read a copy of the manuscript
Wintle, B.A. Walshe, T.V., Parris, K.M., and McCarthy, M.A. (2012). Designing occupancy surveys and interpreting non-detection when observations are imperfect. Diversity and Distributions 18: 417-424.
Posted in Environmental Monitoring and Audit |
Tagged absence, detectability, detection, environmental monitoring and audit, EVSC90016, monitoring, presence, prior probability, search effort, The University of Melbourne, unimelb |