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Morphological Traits Are Not Consistently Related to Population Size in Four Migratory Caribou Populations Across North America
- Source :
- Ecology and Evolution, Vol 14, Iss 10, Pp n/a-n/a (2024)
- Publication Year :
- 2024
- Publisher :
- Wiley, 2024.
-
Abstract
- ABSTRACT To develop effective management to maintain or restore populations of large herbivores, wildlife managers require sound empirical data on their variations in size and associated parameters. Many studies have highlighted links between morphological traits of individuals and population density; however, less attention has been devoted to whether or not morphological traits can reliably inform on population size in years when no population estimates are available. We evaluated the relationships between three morphological traits (hind foot length, body mass, and body fat) and population size interpolated over three decades, for four migratory caribou (Rangifer tarandus) herds in northern Canada and Alaska. Our sample included 8865 measurements of 4473 individuals. We used a Bayesian modeling approach to evaluate the relationships between morphology and population size across different sex and age classes, considering different temporal scales and, when possible, phases of population growth or decline. We found that morphological traits were not consistently linked to population size. Statistically significant relationships existed for some combinations of herd and age classes, but weak to absent relationships were more common. Our study suggests that morphological traits alone cannot replace data obtained from aerial surveys to approximate population size when population trends are unknown. We discuss the usefulness of morphological traits to explain population size, and recognize their role as complementary metrics to inform the management and conservation of large herbivores, but conclude that morphological data should not be used to predict population size without information on population trends.
Details
- Language :
- English
- ISSN :
- 20457758
- Volume :
- 14
- Issue :
- 10
- Database :
- Directory of Open Access Journals
- Journal :
- Ecology and Evolution
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.19c869fd5bc45478ecb84010663adde
- Document Type :
- article
- Full Text :
- https://doi.org/10.1002/ece3.70468