Stable isotopes are an increasingly important tool in trophic linkage ecological studies. In studies of large marine animals, isotopic sampling is often given secondary priority to sampling for diversity and biomass aspects. Consequently, isotopic samples are frequently collected subsequent to repeated freezing and thawing of animals, and the results of these studies are often based on the assumption that this pre-treatment does not affect the isotopic values. Our study tested this assumption and examined the difference between oven- and freeze-drying on isotopic values and elemental carbon-to-nitrogen (C:N) ratios. The values for δ(15)N and δ(13)C, percentage nitrogen and carbon, and the C:N ratios were determined from the tissues of six marine species, including invertebrates and fish, as (1) fresh samples, (2) samples thawed once, and (3) samples thawed twice. The drying method, thawing treatment and their interaction did significantly affect the δ(15)N and δ(13)C isotope values for all species. Oven-dried samples had slightly higher δ(13)C and δ(15)N values than freeze-dried samples, although not significant in most instances. For most species, oven-drying produced lower carbon and nitrogen percentage than freeze-drying for samples that had been thawed once, but the C:N ratio was unaffected by the drying method. Repeated freezing and thawing did not affect the isotope values, but it did decrease the percentage carbon and nitrogen for both desiccation methods. We recommend drying samples from fresh wherever possible, and careful choice of desiccation method in light of the fact that most lipid models are based on oven-dried samples and oven-drying could cause enrichment of (15)N or (13)C through evaporation of volatile compounds richer in lighter isotopes such as some lipids. Finally, we recommend that further studies on the specific effects of freezing and desiccation on elasmobranchs is needed. Overall we recommend the use of freeze-drying when possible and to use the samples from freshly caught organisms.

This study aimed to assess the value of IgA‐antigliadin and antiendomysium antibodies for coeliac disease screening in children with short stature. In 118 children with height less than the 3rd percentile for age preliminary work‐up included absorption, hormonal and genetic studies, sweat test. X‐ray for bone age, serum immunoglobulin levels and antigliadin antibodies. In 65 patients antiendomysium antibody and a small‐intestinal biopsy were performed. Forty‐three children had a normal mucosa and 22 a subtotal villous atrophy. Three coeliac children were negative for both antigliadin and antiendomysium antibodies; one further 11‐year‐old boy was negative only for antiendomysium antibodies. Sensitivity and specificity for antigliadin antibodies were 94.75% and 93%, respectively, and for antiendomysium antibodies 88.3% and 90.5%. Our results show that the use of antiendomysium antibodies as a confirmatory test to select patients for biopsy could result in coeliac disease going undiagnosed in adolescents.

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Stable isotope measurements are an important tool for ecosystem trophic linkage studies. Ideally, fresh samples should be used for isotopic analysis, but in many cases organisms must be preserved and analysed later. In some cases dyes must be used to help distinguish organisms from detritus. Since preservatives and dyes are carbon-based, their addition could influence isotopic readings. This study aims to improve understanding of the effects of sample storage method, dye addition and acidification on the δ(15)N and δ(13)C values of zooplankton (Euphasia frigida and Undinula vulgaris). Zooplankton was collected and preserved by freezing, or by the addition of 5% formalin, 70% ethanol, or 5% formalin with added Phloxine B or Rose Bengal, and stored for 1 month before processing. Samples in 5% formalin and 70% ethanol were also kept and processed after 3 and 9 months to study changes over time. Formalin caused the largest enrichment for δ(13)C and a slight enrichment for δ(15)N, while ethanol produced a slight depletion for δ(13)C, and different effects on δ(15)N depending on the species. In formalin, dyes depleted the δ(13)C values, but had variable effects on δ(15)N, relative to formalin alone. Acidification had no significant effect on δ(15)N or δ(13)C for either species. Long-term storage showed that the effects of the preservatives were species-dependent. Although the effects on δ(15)N varied, a relative enrichment in (13)C of samples occurred with time. This can have important consequences for the understanding of the organic flow within a food web and for trophic studies. .

Static (fixed‐boundary) protected areas are key ocean conservation strategies, and marine higher predator distribution data can play a leading role toward identifying areas for conservation action. The Falkland Islands are a globally significant site for colonial breeding marine higher predators (i.e., seabirds and pinnipeds). However, overlap between marine predators and Falkland Islands proposed Marine Managed Areas (MMAs) has not been quantified. Hence, to provide information required to make informed decisions regarding the implementation of proposed MMAs, our aims were to objectively assess how the proposed MMA network overlaps with contemporary estimates of marine predator distribution. We collated tracking data (1999–2019) and used a combination of kernel density estimation and model‐based predictions of spatial usage to quantify overlap between colonial breeding marine predators and proposed Falkland Islands MMAs. We also identified potential IUCN Key Biodiversity Areas (pKBAs) using (1) kernel density based methods originally designed to identify Important Bird and Biodiversity Areas (IBAs) and (2) habitat preference models. The proposed inshore MMA, which extends three nautical miles from the Falkland Islands, overlapped extensively with areas used by colonial breeding marine predators. This reflects breeding colonies being distributed throughout the Falklands archipelago, and use being high adjacent to colonies due to central‐place foraging constraints. Up to 45% of pKBAs identified via kernel density estimation were located within the proposed MMAs. In particular, the proposed Jason Islands Group MMA overlapped with pKBAs for three marine predator species, suggesting it is a KBA hot spot. However, tracking data coverage was incomplete, which biased pKBAs identified using kernel density methods, to colonies tracked. Moreover, delineation of pKBA boundaries were sensitive to the choice of smoothing parameter used in kernel density estimation. Delineation based on habitat model predictions for both sampled and unsampled colonies provided less biased estimates, and revealed 72% of the Falkland Islands Conservation Zone was likely a KBA. However, it may not be practical to consider such a large area for fixed‐boundary management. In the context of wide‐ranging marine predators, emerging approaches such as dynamic ocean management could complement static management frameworks such as MMAs, and provide protection at relevant spatiotemporal scales.