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In Frongoch Mine (UK), it is unclear the distribution of metals on indigenous algae and whether these species of algae can accumulate metals. This study aimed to investigate the role of indigenous algae for metal removal from acid mine drainage and understand if metals can be adsorbed on the surface of algae or/and bioaccumulated in algae. A sequential extraction procedure was applied for algae samples collected from acid mine drainage (AMD) water to identify the forms in which metals are found in algae. Concentrations of Fe, Pb, Zn, Cu and Cd were evaluated in the algae and AMD samples were collected in June and October 2019. AMDs samples had a pH value ranging between 3.5 and 6.9 and high concentrations of Zn (351 mg/L) and Pb (4.22 mg/L) that exceeded the water quality standards (Water Framework Directive, 2015). Algae Ulothrix sp. and Oedogonium sp. were the two main species in the Frongoch AMDs. The concentrations of metals in algae ranged from 0.007 to 51 mg/g, and the bioconcentration factor of metals decreased in the following order: Fe >  > Pb >  > Cu > Cd > Zn. It was found that Zn, Cu and Cd were adsorbed onto the surface of and bioaccumulated in the algae, while Pb and Fe were mainly bioaccumulated in the algae. Indigenous algae can be considered as a biogeochemical barrier where metals are accumulating and can be used in bioremediation methods. Also, indigenous algae could be used as a bioindicator to assess water pollution at Frongoch Mine and other similar metal mines., (© 2022. The Author(s).)

Micronutrient malnutrition is widespread and is linked with diets low in fruit and vegetables. However, during the twentieth century, declines in essential minerals in fruits and vegetables were reported in the UK and elsewhere. A new analysis of long-term trends of the mineral content of fruits and vegetables from three editions of the UK's Composition of Foods Tables (1940, 1991 and 2019) was undertaken. All elements except P declined in concentrations between 1940 and 2019 - the greatest overall reductions during this 80-year period were Na (52%), Fe (50%), Cu (49%) and Mg (10%); water content increased (1%). There could be many reasons for these reductions, including changes in crop varieties and agronomic factors associated with the industrialisation of agriculture. Increases in carbon dioxide could also play a role. We call for a thorough investigation of these reductions and steps to be taken to address the causes that could contribute to global malnutrition.

In the UK the way we eat has become the biggest cause of preventable illness and death, placing a huge burden on our health system. Studies have found this is particularly true for those in more deprived areas. In the context of cheap ultra-processed foods, public health interventions to reduce this healthy eating gap often promote cooking 'from scratch' as a means of making increased fruit and vegetable consumption affordable on a tight budget. However the effectiveness of such healthy cooking interventions is debated. This research sought to address this problem by using practice theory to highlight previously overlooked non-cognitive factors involved in everyday cooking performances and consider how they might affect inequalities in healthy eating. Our findings are based on in-depth qualitative research with 25 mothers (including interviews and cooking observations) and a quantitative survey of 310 respondents. In the first section we build the case that cooking is better understood as a practice by outlining the different non-cognitive elements involved in mundane performances of cooking at home (focusing on materials, meanings and competencies). In the second section we focus on the complex relationships between social deprivation, diet and cooking practices, exploring the underexamined links between macro-scale social inequalities and the more micro-scale repeated performances of everyday activities. More specifically we show how social deprivation can impact upon the materials, meanings and competencies of cooking practices in ways that severely limit the capacity for those in more deprived areas to frequently cook with healthier unprocessed ingredients. Finally, we contend that by viewing cooking as a practice and by designing interventions based on this foundation it would be possible to achieve significant benefits to public health., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Citizen science is an increasingly popular way of engaging volunteers in the collection of scientific data. Despite this, data quality remains a concern and there is little published evidence about the accuracy of records generated by citizen scientists. Here we compare data generated by two British citizen science projects, Blooms for Bees and BeeWatch, to determine the ability of volunteer recorders to identify bumblebee (Bombus) species. We assessed recorders' identification ability in two ways-as recorder accuracy (the proportion of expert-verified records correctly identified by recorders) and recorder success (the proportion of recorder-submitted identifications confirmed correct by verifiers). Recorder identification ability was low (<50% accuracy; <60% success), despite access to project specific bumblebee identification materials. Identification ability varied significantly depending on bumblebee species, with recorders most able to correctly identify species with distinct appearances. Blooms for Bees recorders (largely recruited from the gardening community) were markedly less able to identify bumblebees than BeeWatch recorders (largely individuals with a more specific interest in bumblebees). Within both projects, recorders demonstrated an improvement in identification ability over time. Here we demonstrate and quantify the essential role of expert verification within citizen science projects, and highlight where resources could be strengthened to improve recorder ability., Competing Interests: The commercial company Natural Apptitude developed the Blooms for Bees app, and provided salary to DK. The authors declare no competing interests (financial, nonfinancial, professional or personal). This does not alter our adherence to PLOS ONE policies on sharing data and materials.

Road drainage is one of the most relevant assets in transport infrastructure due to its inherent influence on traffic management and road safety. Highway filter drains (HFDs), also known as "French Drains", are the main drainage system currently in use in the UK, throughout 7000 km of its strategic road network. Despite being a widespread technique across the whole country, little research has been completed on their design considerations and their subsequent impact on their hydraulic performance, representing a gap in the field. Laboratory experiments have been proven to be a reliable indicator for the simulation of the hydraulic performance of stormwater best management practices (BMPs). In addition to this, stormwater management tools (SMT) have been preferentially chosen as a design tool for BMPs by practitioners from all over the world. In this context, this research aims to investigate the hydraulic performance of HFDs by comparing the results from laboratory simulation and two widely used SMT such as the US EPA's stormwater management model (SWMM) and MicroDrainage®. Statistical analyses were applied to a series of rainfall scenarios simulated, showing a high level of accuracy between the results obtained in laboratory and using SMT as indicated by the high and low values of the Nash-Sutcliffe and R 2 coefficients and root-mean-square error (RMSE) reached, which validated the usefulness of SMT to determine the hydraulic performance of HFDs.

The use of natural flood management (NFM) measures to address severe flooding received considerable public attention during December 2015-January 2016 storms. Within the Warwickshire-Avon Catchment, UK, high arable and improved grassland land cover with small, isolated communities at risk, lead to the exploration of novel techniques that use farmland high up in flood-prone catchments to hold water and reduce outflow discharge. This paper will discuss the methodology used to identify areas in the Warwickshire-Avon, which could be used to install NFM measures to attenuate the storm peak and provide wider ecosystem services, principally addressing total phosphate and sediment entering the receiving watercourse. This involved constructing a GIS database of catchment geomorphological characteristics whilst simultaneously engaging with those significant stakeholders of farmers and landowners to capture local input and produce a model for applied NFM for future projects looking to explore the role of working with natural processes (WwNP) for flood risk reduction within the agricultural environment. The advantages, disadvantages and key lessons learnt are also presented in this paper, to recognise the benefits and limitations of communities and catchments exploring such methods for flood risk management (FRM).