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ABSTRACT Marine sediments harbour diverse microbial populations, but with increasing depth, these microbes are thought to have low activity due to depleted electron acceptors and lack of new organic matter after burial. However, physiochemical changes in environmental parameters could impact the metabolic activity of microbes in marine sediments. We performed seasonal sampling of shallow sediments to examine changes in population and abundance in relation to physiochemical changes over the year. We used amplicon sequencing, quantitative PCR and geochemistry to assess seasonal abundance of microbial populations at 3 depths (12–14, 38–40 and 48–50 cm) in shallow coastal sediments. 16S rRNA amplicon sequencing showed the sediment microbiome consists of common sediment taxa with minor seasonal variation. However, bacterial gene counts of 16S rRNA genes were highest in summer (2.50 × 10¹² genes/g of sediment) and lowest in spring (1.64 × 10¹¹ genes/g sediment). We observed differences in sediment temperature at depth across seasons (Summer 28°C–25.5°C; Winter 8.7°C–6.3°C) and correlated changes in dissolved organic matter composition that are not typically reported for this environment. We conclude deeper microbial populations in shallow sediments may experience seasonal abundance shifts resulting in a more variable subsurface community than initially presumed in the literature. 

Using tags within a mark-recapture framework allows researchers to assess population size and connectivity. Such methods have been applied in coastal zone habitats to monitor salt marsh restoration success by comparing the movement patterns of Mummichogs (Fundulus heteroclitus) between restored and natural marshes. Visible Implant Elastomer (VIE) tags are commonly used to tag small fish like Mummichogs, though the retention and survival of small fish using this method varies between studies, producing uncertainty during mark-recapture-based approaches. To address this, we conducted a laboratory experiment to determine the rate of tag loss and mortality of VIE tags on Mummichogs of two size classes (greater or less than 61 mm) and across different taggers. Tag loss and mortality increased over time, and the latter significantly varied between taggers. We then developed a predictive model, R package ‘retmort’, to account for the effect of this increase on mark-recapture studies. When adapted to a series of published works, our model provided rational estimates of tagging error for multiple species and tagging methods. Of the case studies the model was applied to (n = 26), 15 resulted in a percent standard error greater than 5%, signaling a significant percent of error due to uncounted, tagged animals. By not accounting for these individuals, recapture studies, particularly those that assess restoration efforts and coastal resilience, could underestimate the effects of those projects, leading to superfluous restoration efforts and erroneous recapture data for species with low tag retention and high mortality rates.