Open Access

Meadowbird populations in The Netherlands are under great pressure. Recently, predation is named increasingly often as one of the key factors in contributing to the declines. A four-year research project (2001-2005) aimed to collect (as yet mostly nonexisting) data to provide a factual basis for this discussion. A country-wide inventory based on data for wader nests found by volunteers who mark nests for their protection from grazing/mowing indicated that above-average predation losses are found predominantly in the half-open landscapes of northern and eastern Netherlands, but also locally in the low-lying open grasslands which are the key areas for meadowbirds. Nest predation has increased in recent years, but the same is true for agricultural losses, at least in areas where no nest-protection takes place. At a local scale, predation losses vary greatly from area to area and from year to year. Temperature loggers in nest showed that diurnal and nocturnal predators contribute equally in total predation losses up to 50%, but higher predation losses are mainly caused by nocturnal predators. As many as 10 animal species were identified as nest predators on nests under surveillance with video cameras. Chick survival, investigated using radiotelemetry, was very low. About 60-80% were lost by predation, 5-15% by agricultural activities and 10-15% to all kind of other losses. At least 15 predator species were implied, with an apparently larger share taken by birds (notably Buzzard (16%) and Grey Heron (7-18%)) than mammals, with one exception: stoat (16%). Of the most-discussed predator species, Carrion Crows were W. Teunissen et al. Osnabrücker Naturwiss. Mitt. 32 2006 138 remarkably rarely involved in both nest and chick predation, while Red Foxes take a large toll of clutches in some areas, but not in others. Of all losses during the reproductive cycle about 75% and 60% was due to predation in Lapwing and Black-tailed Godwit respectively. Predation on chicks by birds had the largest effect on total breeding success, but at the same time elimination of this loss factor (if at all possible) alone would not be sufficient to establish a self-sustaining population. Predation seems to have become a factor of importance in some areas, in combination with already existing other losses. Our findings suggest that solutions to predation problems probably have to be found in locally/regionally targeted, specific action on multiple fronts rather than countrywide measures.

Background: The objective of the STREAM Trial was to evaluate the effect of simulation training on process times in acute stroke care. Methods: The multicenter prospective interventional STREAM Trial was conducted between 10/2017 and 04/2019 at seven tertiary care neurocenters in Germany with a pre- and post-interventional observation phase. We recorded patient characteristics, acute stroke care process times, stroke team composition and simulation experience for consecutive direct-to-center patients receiving intravenous thrombolysis (IVT) and/or endovascular therapy (EVT). The intervention consisted of a composite intervention centered around stroke-specific in situ simulation training. Primary outcome measure was the ‘door-to-needle’ time (DTN) for IVT. Secondary outcome measures included process times of EVT and measures taken to streamline the pre-existing treatment algorithm. Results: The effect of the STREAM intervention on the process times of all acute stroke operations was neutral. However, secondary analyses showed a DTN reduction of 5 min from 38 min pre-intervention (interquartile range [IQR] 25–43 min) to 33 min (IQR 23–39 min, p = 0.03) post-intervention achieved by simulation-experienced stroke teams. Concerning EVT, we found significantly shorter door-to-groin times in patients who were treated by teams with simulation experience as compared to simulation-naive teams in the post-interventional phase (−21 min, simulation-naive: 95 min, IQR 69–111 vs. simulation-experienced: 74 min, IQR 51–92, p = 0.04). Conclusion: An intervention combining workflow refinement and simulation-based stroke team training has the potential to improve process times in acute stroke care.