Using artificial intelligence classification of videos to examine the environmental, evolutionary and physiological constraints on provisioning behavior. (1st September 2020)
- Record Type:
- Journal Article
- Title:
- Using artificial intelligence classification of videos to examine the environmental, evolutionary and physiological constraints on provisioning behavior. (1st September 2020)
- Main Title:
- Using artificial intelligence classification of videos to examine the environmental, evolutionary and physiological constraints on provisioning behavior
- Authors:
- Williams, Heather M.
DeLeon, Robert L. - Abstract:
- Abstract : The use of artificial intelligence (AI) technologies can revolutionize how we approach data collection and analysis in behavioral ecology. One such example is in provisioning behavior. Parents of altricial species are selected to provide parental care (such as food provisioning) for their offspring, but there is substantial variation in the level of this care. Provisioning rate may be determined environmentally, by the physiological ability of parents and needs of nestlings, or by evolutionary incentives. We quantified provisioning rate in 20 purple martin Progne subis nests in the context of an experimental reduction of nest ectoparasites. 10 nests had a parasite reduction treatment, and 10 nests were controls. By using AI to automate the analysis of nest camera videos we were able to obtain nearly‐continuous provisioning rate information at a high temporal resolution for the first half of the nestling period. We used random forest modeling to assess the factors determining provisioning rate and found evidence for environmental, evolutionary and physiological constraints and incentives on provisioning. Birds appeared to be environmentally limited in their provisioning in cool, wet conditions, especially later in the breeding season; but adjusted their provisioning according to the changing physiological needs of nestlings. We found evidence for a compensatory response to increased parasite load, in which parents increased provisioning to more heavily parasitizedAbstract : The use of artificial intelligence (AI) technologies can revolutionize how we approach data collection and analysis in behavioral ecology. One such example is in provisioning behavior. Parents of altricial species are selected to provide parental care (such as food provisioning) for their offspring, but there is substantial variation in the level of this care. Provisioning rate may be determined environmentally, by the physiological ability of parents and needs of nestlings, or by evolutionary incentives. We quantified provisioning rate in 20 purple martin Progne subis nests in the context of an experimental reduction of nest ectoparasites. 10 nests had a parasite reduction treatment, and 10 nests were controls. By using AI to automate the analysis of nest camera videos we were able to obtain nearly‐continuous provisioning rate information at a high temporal resolution for the first half of the nestling period. We used random forest modeling to assess the factors determining provisioning rate and found evidence for environmental, evolutionary and physiological constraints and incentives on provisioning. Birds appeared to be environmentally limited in their provisioning in cool, wet conditions, especially later in the breeding season; but adjusted their provisioning according to the changing physiological needs of nestlings. We found evidence for a compensatory response to increased parasite load, in which parents increased provisioning to more heavily parasitized nests. … (more)
- Is Part Of:
- Journal of avian biology. Volume 51:Number 8(2020)
- Journal:
- Journal of avian biology
- Issue:
- Volume 51:Number 8(2020)
- Issue Display:
- Volume 51, Issue 8 (2020)
- Year:
- 2020
- Volume:
- 51
- Issue:
- 8
- Issue Sort Value:
- 2020-0051-0008-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2020-09-01
- Subjects:
- artificial intelligence -- parasite compensation hypothesis -- parent-offspring conflict -- parental care -- provisioning -- purple martin
Ornithology -- Periodicals
Ornithology -- Scandinavia -- Periodicals
598 - Journal URLs:
- http://www.blackwell-synergy.com/servlet/useragent?func=showIssues&code=jav&close=2003#C2003 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/jav.02424 ↗
- Languages:
- English
- ISSNs:
- 0908-8857
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4949.950000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 13932.xml