Published June 29, 2020 | Version v1
Dataset Open

Data from: Numerical ordinality in a wild nectarivore

  • 1. University of St Andrews
  • 2. University of Lethbridge

Description

Ordinality is a numerical property that nectarivores may use to remember the specific order in which to visit a sequence of flowers, a foraging strategy also known as traplining. In this experiment, we tested whether wild, free-living rufous hummingbirds (Selasphorus rufus) could use ordinality to visit a rewarded flower. Birds were presented with a series of linear arrays of 10 artificial flowers; only one flower in each array was rewarded with sucrose solution. During training, birds learned to locate the correct flower independent of absolute spatial location. The birds showed no significant decrease in accuracy depending on which ordinal position (1st, 2nd, 3rd or 4th) was rewarded, which suggests that they used an object-indexing mechanism of numerical processing, rather than a magnitude-based system. When distance cues between flowers were made irrelevant during test trials, birds were still able to locate the correct flower. The distribution of errors during both training and testing indicates that the birds may have used a so-called 'working up' strategy to locate the correct ordinal position. These results provide the first demonstration of numerical ordinal abilities in a wild vertebrate and suggest that such abilities could be used during foraging in the wild.

Notes

Funding provided by: Natural Sciences and Engineering Research Council of Canada
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000038
Award Number: RGPIN 121496-2003

Funding provided by: Association for the Study of Animal Behaviour
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000530
Award Number:

Files

Flowerdistancedata.csv

Files (419.6 kB)

Name Size Download all
md5:48f83dfd3a2064c2b04c29586834cad9
1.1 kB Preview Download
md5:8d278be6ca4a7ad5632fa3c5eba85228
150.9 kB Preview Download
md5:63140413c44c6f97ea587e850495d2ca
263.1 kB Preview Download
md5:02c1361609900f3f72044f16d803eaeb
1.1 kB Preview Download
md5:97a7aa72ddf03f3800d2caf17a873888
3.5 kB Preview Download