Tracking Changes of Hidden Food: Spatial Pattern Learning in Two Macaw Species

Food availability may vary spatially and temporally within an environment. Efficiency in locating alternative food sources using spatial information (e.g., distribution patterns) may vary according to a species’ diet and habitat specialisation. Hypothetically, more generalist species would learn fas...

Full description

Bibliographic Details
Main Authors: Pizza Ka Yee Chow, James R. Davies, Awani Bapat, Auguste M. P. von Bayern
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Birds
Subjects:
Online Access:https://www.mdpi.com/2673-6004/2/3/21
_version_ 1797520030512971776
author Pizza Ka Yee Chow
James R. Davies
Awani Bapat
Auguste M. P. von Bayern
author_facet Pizza Ka Yee Chow
James R. Davies
Awani Bapat
Auguste M. P. von Bayern
author_sort Pizza Ka Yee Chow
collection DOAJ
description Food availability may vary spatially and temporally within an environment. Efficiency in locating alternative food sources using spatial information (e.g., distribution patterns) may vary according to a species’ diet and habitat specialisation. Hypothetically, more generalist species would learn faster than more specialist species due to being more explorative when changes occur. We tested this hypothesis in two closely related macaw species, differing in their degree of diet and habitat specialisation; the more generalist Great Green Macaw and the more specialist Blue-throated Macaw. We examined their spatial pattern learning performance under predictable temporal and spatial change, using a ‘poke box’ that contained hidden food placed within wells. Each week, the rewarded wells formed two patterns (A and B), which were changed on a mid-week schedule. We found that the two patterns varied in their difficulty. We also found that the more generalist Great Green Macaws took fewer trials to learn the easier pattern and made more mean correct responses in the difficult pattern than the more specialist Blue-throated Macaws, thus supporting our hypothesis. The better learning performance of the Great Green Macaws may be explained by more exploration and trading-off accuracy for speed. These results suggest how variation in diet and habitat specialisation may relate to a species’ ability to adapt to spatial variation in food availability.
first_indexed 2024-03-10T07:51:04Z
format Article
id doaj.art-401a15f9848a4009ac5685cabee9b9c5
institution Directory Open Access Journal
issn 2673-6004
language English
last_indexed 2024-03-10T07:51:04Z
publishDate 2021-08-01
publisher MDPI AG
record_format Article
series Birds
spelling doaj.art-401a15f9848a4009ac5685cabee9b9c52023-11-22T12:13:13ZengMDPI AGBirds2673-60042021-08-012328530110.3390/birds2030021Tracking Changes of Hidden Food: Spatial Pattern Learning in Two Macaw SpeciesPizza Ka Yee Chow0James R. Davies1Awani Bapat2Auguste M. P. von Bayern3Max Planck Institute for Ornithology, Eberhard-Gwinner-Straße, 82319 Seewiesen, GermanyMax Planck Institute for Ornithology, Eberhard-Gwinner-Straße, 82319 Seewiesen, GermanyMax Planck Institute for Ornithology, Eberhard-Gwinner-Straße, 82319 Seewiesen, GermanyMax Planck Institute for Ornithology, Eberhard-Gwinner-Straße, 82319 Seewiesen, GermanyFood availability may vary spatially and temporally within an environment. Efficiency in locating alternative food sources using spatial information (e.g., distribution patterns) may vary according to a species’ diet and habitat specialisation. Hypothetically, more generalist species would learn faster than more specialist species due to being more explorative when changes occur. We tested this hypothesis in two closely related macaw species, differing in their degree of diet and habitat specialisation; the more generalist Great Green Macaw and the more specialist Blue-throated Macaw. We examined their spatial pattern learning performance under predictable temporal and spatial change, using a ‘poke box’ that contained hidden food placed within wells. Each week, the rewarded wells formed two patterns (A and B), which were changed on a mid-week schedule. We found that the two patterns varied in their difficulty. We also found that the more generalist Great Green Macaws took fewer trials to learn the easier pattern and made more mean correct responses in the difficult pattern than the more specialist Blue-throated Macaws, thus supporting our hypothesis. The better learning performance of the Great Green Macaws may be explained by more exploration and trading-off accuracy for speed. These results suggest how variation in diet and habitat specialisation may relate to a species’ ability to adapt to spatial variation in food availability.https://www.mdpi.com/2673-6004/2/3/21parrots<i>Ara ambiguus</i><i>Ara glaucogularis</i>memoryforaginggeneralist
spellingShingle Pizza Ka Yee Chow
James R. Davies
Awani Bapat
Auguste M. P. von Bayern
Tracking Changes of Hidden Food: Spatial Pattern Learning in Two Macaw Species
Birds
parrots
<i>Ara ambiguus</i>
<i>Ara glaucogularis</i>
memory
foraging
generalist
title Tracking Changes of Hidden Food: Spatial Pattern Learning in Two Macaw Species
title_full Tracking Changes of Hidden Food: Spatial Pattern Learning in Two Macaw Species
title_fullStr Tracking Changes of Hidden Food: Spatial Pattern Learning in Two Macaw Species
title_full_unstemmed Tracking Changes of Hidden Food: Spatial Pattern Learning in Two Macaw Species
title_short Tracking Changes of Hidden Food: Spatial Pattern Learning in Two Macaw Species
title_sort tracking changes of hidden food spatial pattern learning in two macaw species
topic parrots
<i>Ara ambiguus</i>
<i>Ara glaucogularis</i>
memory
foraging
generalist
url https://www.mdpi.com/2673-6004/2/3/21
work_keys_str_mv AT pizzakayeechow trackingchangesofhiddenfoodspatialpatternlearningintwomacawspecies
AT jamesrdavies trackingchangesofhiddenfoodspatialpatternlearningintwomacawspecies
AT awanibapat trackingchangesofhiddenfoodspatialpatternlearningintwomacawspecies
AT augustempvonbayern trackingchangesofhiddenfoodspatialpatternlearningintwomacawspecies