N-mixture and occupancy

[Gabriel Brambila Milleo]

Hello good morning everyone, my name is Gabriel and I would like to ask everyone for help to analyze my data that was obtained during a year of collection.
I work with a population of Nasua nasua which I want to measure abundance and density.

The site was divided into 9 sites and they were covered during a year, totaling 97 sampling days.

I have data with total count of individous and also presence and absence. The sites do not have variables, would it be a naked model?

I would like to know how I can achieve the abundance of this population, as well as its density, what would be the best way?
I confess that I'm a beginner in language R!. I'm trying to follow this guide


https://jabiologo.github.io/web/tutorials/nmixture.html#n-mixture_models:_generalidades

and this other

https://jamespaterson.github.io/jamespatersonblog/2020-09-01_occupancyintroduction.html

but I'm not able to. Thank you all for your attention.
Hugs !!

[aw...@scenichudson.org]

Hello Gabriel,

Occupancy models will not give you abundance, only the proportion of your sites where the species is present.  To get abundance (density is abundance/area), you'll need to use N-mix models.  I found the vignettes included with the R package very helpful when I was starting out.  There are also lots of free online resources for the basics of R.

-Alex

[thomas ingersoll]

There is an abundance-dependent occupancy model, but if you have good counts you should probably use N-mixture. Usually, the most challenging aspect is getting the data into a proper data frame: unmarked.frame. There are no covariates at all, including location and date?

My time is quite limited as I have a demanding job, but I admit to having a soft-spot for coatis. Let me know if you can't find anyone who is more available to help you with R.

Tom Ingersoll, Phd.

Mathematician

toming...@yahoo.com

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[Javi Fernández-López]

Hi Gabriel,

I'm the writer of the "jabiologo" N-mix tutorial you mentioned so you can reach me at jflop...@gmail.com with any doubts. Hope it was useful!

Best,

Javi

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[Gabriel Brambila Milleo]

Hi, thanks for replying, I would like to update you about my case and also ask for help to interpret.
It follows the images of the results obtained in relation to occupancy and detectability.

[gcsadoti]

This states the estimated probability of occupancy is very close to 1 in your study area (i.e., all sites occupied) and that the probability of detection on a given survey is close to 0.11 (i.e., species detected about 11% of the time given presence).

[Marc Kery]

Hi Javi,

 

I just quickly skimmed your tutorial and was delighted to see this material in your wonderful language. Hope it makes these methods more widely accessible in South America and even Spain.

 

Good luck and best regards  -- Marc

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