Reproductive Viability Analysis (RVA) as a new tool for ex situ population management

• Published in: Zoo Biology
• Main Authors: Bauman, Karen, Sahrmann, John, Franklin, Ashley, Asa, Cheryl, Agnew, Mary, Traylor‐Holzer, Kathy, Powell, David
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2019
• Subjects: Animal Science and Zoology; General Medicine; Canis lupus
• Online Access: http://dx.doi.org/10.1002/zoo.21477; https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fzoo.21477; https://onlinelibrary.wiley.com/doi/pdf/10.1002/zoo.21477

Many animal populations managed by the Association of Zoos and Aquariums’ (AZA) Species Survival Plans® (SSPs) have low rates of reproductive success. It is critical that individuals recommended to breed are successful to achieve genetic and demographic goals set by the SSP. Identifying factors that impact reproductive success can inform managers on best practices and improve demographic predictions. A Reproductive Viability Analysis (RVA) utilizes data gathered from Breeding and Transfer Plans, studbooks, and SSP documents, and through modeling identifies factors associated with reproductive success in a given species. Here, we describe the RVA process, including different statistical models with the highest accuracy for predicting reproductive success in fennec foxes ( Vulpes zerda) and Mexican wolves ( Canis lupus baileyi ). Results from the RVA provide knowledge that can be used to make evidence‐based decisions about pairing and breeding strategies as well as improving reproductive success and population sustainability.