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Articles by Hal Caswell
The contributions of social factors to lifespan disparity: multi-factor analysis and a four-way case study of U.S. lifespan
The authors have declared no competing interest. I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.
The formal demography of kinship. VII. Lifetime kin overlap within and across generations
Abstract Background. Interactions among kin have important consequences, including resource transfers, alloparenting, health care, and economic support. Some interactions require that the lives of the interacting relatives overlap. The overlap over a lifetime (lifetime kin overlap, LKO) depends on mortality (longer lives give more opportunity for overlap) and fertility (higher fertility produces more kin with which to overlap).
Family matters: Linking population growth, kin interactions, and African elephant social groups
Abstract In many species, individuals are embedded in a network of kin with whom they interact. Interactions between kin can affect the survival and fertility rates, and thus the life history of individuals. These interactions indirectly affect both the network of kin and the dynamics of the population. In this way, a non-linear feedback between the kin network and individual vital rates emerges.
Inequality, heterogeneity, and chance: Multiple factors and their interactions
Abstract A heterogeneous population is a mixture of groups differing in vital rates. In such a population, some of the variance in demographic outcomes (e.g., longevity, lifetime reproduction) is due to heterogeneity and some is the result of stochastic demographic processes. Many studies have partitioned variance into its between-group and within-group components, but have focused on single factors.
The formal demography of kinship VI: Demographic stochasticity, variance, and covariance in the kinship network
Abstract Background: The matrix model for kinship networks includes many demographic processes but is deterministic, projecting expected values of age-stage distributions of kin. It provides no information on (co)variances. Because kin populations are small, demographic stochasticity is expected to create appreciable inter-individual variation.
Family matters: Linking population growth, kin interactions, and African elephant social groups
Abstract In many species, individuals are embedded in a network of kin with whom they interact. The interactions among kin may affect the survival and fertility rates, and thus the life history of individuals. These interactions indirectly influence both the network of kin and the dynamics of the population. In this way, non-linear feedback emerges between the kin network and individual life history rates.
Projections of human kinship for all countries
Significance Rapid demographic change is expected to transform the supply of kin worldwide. Changes in the size and composition of kinship networks matter because relatives provide important informal support by exchanging resources and time, even in settings with advanced welfare systems. But kin supply does not equal kin availability. For example, we project that great-grandparents will be more common in the future, but they may be too old and frail to provide support.
A demographic and evolutionary analysis of maternal effect senescence
A demographic and evolutionary analysis of maternal effect senescence Christina M. Hernández, Silke F. van Daalen, Hal Caswell, Michael G. Neubert, Kristin E. Gribble Proceedings of the National Academy of Sciences Jun 2020, 201919988; DOI: 10.1073/pnas.1919988117
Ringed seal demography in a changing climate
Article Ringed seal demography in a changing climate Jody R. Reimer Corresponding Author E-mail address: jrreimer@ualberta.ca Department of Biological Sciences, University of Alberta, , Edmonton, Canada Centre for Mathematical Biology, Department of Mathematical and Statistical Sciences, University of Alberta, , Edmonton, Canada Search for more papers by this author Mark A.
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