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Marine megafauna species are affected by a wide range of anthropogenic threats. To evaluate the risk of such threats, species’ vulnerability to each threat must first be determined. We build on the existing threats classification scheme and ranking system of the International Union for Conservation of Nature (IUCN) Red List of Threatened Species by assessing the vulnerability of 256 marine megafauna species to 23 at‐sea threat...
Construction of relatedness matrices in autopolyploid populations using low-depth high-throughput sequencing dataNARA Subscribed
Key message An improved estimator of genomic relatedness using low-depth high-throughput sequencing data for autopolyploids is developed. Its outputs strongly correlate with SNP array-based estimates and are available in the package GUSrelate. Abstract High-throughput sequencing (HTS) methods have reduced sequencing costs and resources compared to array-based tools, facilitating the investigation of many non-model polyploid sp...
On the robustness of N‐mixture modelsNARA Subscribed
N ‐mixture models provide an appealing alternative to mark–recapture models, in that they allow for estimation of detection probability and population size from count data, without requiring that individual animals be identified. There is, however, a cost to using the N ‐mixture models: inference is very sensitive to the model's assumptions. We consider the effects of three violations of assumptions that might reasonably be ex...
Comparing rates of springtail predation by web‐building spiders using Bayesian inferenceNARA Subscribed
A major goal of gut‐content analysis is to quantify predation rates by predators in the field, which could provide insights into the mechanisms behind ecosystem structure and function, as well as quantification of ecosystem services provided. However, percentage‐positive results from molecular assays are strongly influenced by factors other than predation rate, and thus can only be reliably used to quantify predation rates und...
Efficient Estimation of Abundance for Patchily Distributed Populations via Two‐phase, Adaptive SamplingNARA Subscribed
Many organisms are patchily distributed, with some patches occupied at high density, others at lower densities, and others not occupied. Estimation of overall abundance can be difficult and is inefficient via intensive approaches such as capture–mark–recapture (CMR) or distance sampling. We propose a two‐phase sampling scheme and model in a Bayesian framework to estimate abundance for patchily distributed populations. In the f...
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