Have you encountered the weighted nestedness metric developed by Almeida-Neto & Ulrich (2011)? When quantitative instead of presence-absence data are used in quantifying nestedness, more ecologically meaningful and relevant conclusions can be drawn. Arguably, the problem of whether zeros indicate nondetection or true absence of species is reduced when using quantitative matrices because when the fill of two columns or rows is equal, the nestedness is calculated based on the quantitative data (e.g. species abundance) associated with each cell.

In addition to this, the quantitative data (e.g. species abundance as opposed to a 1 or 0 indicating presence or absence) could be seen as a surrogate for detection probability (detection probability is positively correlated to amount detected).

Dear Tom,

Thanks for your answer!! Yes I have tried the weighted nestedness metric developed by Almeida-Neto & Ulrich (2011), and you are wright it can work as a proxy for detection probability. I was looking for a way to incorporate something to try to predict the presence of undetected species based on occupancy and habitat data.

I will try both and see how it works!

Thanks a lot for your answer!!

Regards

Sebastian

Hola Sebastián, efectivamente existe un paper de Emmanuele Cam, te los adjunto, el de Oikos es justo lo que estás buscando.  Abrazo!

Alexis

PD veo que ya los tenías! abrazo.

Hola Alexis! Si lo tenía a ese gracias! Parece que además de esos papers de Cam y el weighted nestedness no hay nada más. Voy a probar con esas dos cosas juntas para presencia ausencia y presencia ponderada por abundancias.  

Abrazo!