Partitioning covariance into causal and spurious components
The paper introduces two methods to decompose covariance into causal and spurious components, applying them to study body size and egg number in dusky pipefish.
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University of FreiburgORCID 0000-0001-7306-170XUnclaimed ORCID profile · follow to get notified of new preprints
5 papers
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The paper introduces two methods to decompose covariance into causal and spurious components, applying them to study body size and egg number in dusky pipefish.
Xiaoyan Long, Jonathan M. Henshaw
This paper develops mathematical models showing anisogamy drives sex-role divergence through different evolutionary trajectories depending on ecological context and competition type.
Xiaoyan Long, Jussi Lehtonen, Jonathan M. Henshaw
This paper develops a framework to quantify feedback between traits and selection gradients in coevolutionary models, demonstrating its application across different theoretical approaches.
Krish Sanghvi, Jonathan M. Henshaw, Alex Kacelnik…·Irem Sepil
The paper uses simulations to show that Bateman gradients are influenced by covariances between mating success and other factors, not just direct causation.
Marilena De Almeida, Jonathan M. Henshaw, Adam G. Jones, Xiaoyan Long
This study shows that mate choice can evolve to counteract gene drives, potentially eradicating them and rescuing populations, especially when drives spread slowly and are dominant.