The value of cross border emergency management in adapting to climate change

Adapting to climate change is challenging in border regions where emergency situations can become amplified on a cross-border basis. Such amplification is largely the result of more agencies becoming involved in the response; groups that are often geographically dispersed, bring more divergent agendas to the ‘table’ and are often less well acquainted with each other. However, acting to build adaptive responses across international borders serves to increase resilience and decrease vulnerability to climate change. Over the coming decades climate change is likely to increase flood risk. On the island of Ireland, border regions are amongst the most vulnerable to hazards such as flooding. Developing effective cross-border emergency management will require collaborative planning, capacity building and innovative leadership. This paper sets out the urgency of adapting to climate change in border regions and provides an overview of progress and capacity building in moving towards greater shared services in border communities in Ireland

Post-traumatic amnesia and the nature of post-traumatic stress disorder after mild traumatic brain injury

The prevalence and nature of post-traumatic stress disorder (PTSD) following mild traumatic brain injury (MTBI) is controversial because of the apparent paradox of suffering PTSD with impaired memory for the traumatic event. In this study, 1167 survivors of traumatic injury were assessed for PTSD symptoms and post-traumatic amnesia during hospitalization, and were subsequently assessed for PTSD 3 months later. At the follow-up assessment, 90 patients met criteria for PTSD; MTBI patients were more likely to develop PTSD than no-TBI patients, after controlling for injury severity. Longer post-traumatic amnesia was associated with less severe intrusive memories at the acute assessment. These findings indicate that PTSD may be more likely following MTBI, however, longer post-traumatic amnesia appears to be protective against selected re-experiencing symptoms

Thermodynamic Model for Energy-Constrained Open-System Evolution of Crustal Magma Bodies Undergoing Simultaneous Recharge, Assimilation and Crystallization: the Magma Chamber Simulator

The Magma Chamber Simulator quantifies the impact of simultaneous recharge, assimilation and crystallization through mass and enthalpy balance in a multicomponent–multiphase (melt + solids ± fluid) composite system. As a rigorous thermodynamic model, the Magma Chamber Simulator computes phase equilibria and geochemical evolution self-consistently in resident magma, recharge magma and wallrock, all of which are connected by specified thermodynamic boundaries, to model an evolving open-system magma body. In a simulation, magma cools from its liquidus temperature, and crystals ± fluid are incrementally fractionated to a separate cumulate reservoir. Enthalpy from cooling, crystallization, and possible magma recharge heats wallrock from its initial subsolidus temperature. Assimilation begins when a critical wallrock melt volume fraction (0·04–0·12) in a range consistent with the rheology of partially molten rock systems is achieved. The mass of melt above this limit is removed from the wallrock and homogenized with the magma body melt. New equilibrium states for magma and wallrock are calculated that reflect conservation of total mass, mass of each element and enthalpy. Magma cooling and crystallization, addition of recharge magma and anatectic melt to the magma body (where appropriate), and heating and partial melting of wallrock continue until magma and wallrock reach thermal equilibrium. For each simulation step, mass and energy balance and thermodynamic assessment of phase relations provide major and trace element concentrations, isotopic characteristics, masses, and thermal constraints for all phases (melt + solids ± fluid) in the composite system. Model input includes initial compositional, thermal and mass information relevant to each subsystem, as well as solid–melt and solid–fluid partition coefficients for all phases. Magma Chamber Simulator results of an assimilation–fractional crystallization (AFC) scenario in which dioritic wallrock at 0·1 GPa contaminates high-alumina basalt are compared with results in which no assimilation occurs [fractional crystallization only (FC-only)]. Key comparisons underscore the need for multicomponent–multiphase energy-constrained thermodynamic modeling of open systems, as follows. (1) Partial melting of dioritic wallrock yields cooler silicic melt that contaminates hotter magma. Magma responds by cooling, but a pulse of crystallization, possibly expected based on thermal arguments, does not occur because assimilation suppresses crystallization by modifying the topology of multicomponent phase saturation surfaces. As a consequence, contaminated magma composition and crystallizing solids are distinct compared with the FC-only case. (2) At similar stages of evolution, contaminated melt is more voluminous (∼3·5×) than melt formed by FC-only. (3) In AFC, some trace element concentrations are lower than their FC-only counterparts at the same stage of evolution. Elements that typically behave incompatibly in mafic and intermediate magmas (e.g. La, Nd, Ba) may not be ‘enriched’ by crustal contamination, and the most ‘crustal’ isotope signatures may not correlate with the highest concentrations of such elements. (4) The proportion of an element contributed by anatectic melt to resident magma is typically different for each element, and thus the extent of mass exchange between crust and magma should be quantified using total mass rather than the mass of a single element. Based on these sometimes unexpected results, it can be argued that progress in quantifying the origin and evolution of open magmatic systems and documenting how mantle-derived magmas and the crust interact rely not only on improvements in instrumentation and generation of larger datasets, but also on continued development of computational tools that couple thermodynamic assessment of phase equilibria in multicomponent systems with energy and mass conservation

Mapping and validating predictions of soil bacterial biodiversity using European and national scale datasets

Recent research has highlighted strong correlations between soil edaphic parameters and bacterial biodiversity. Here we seek to explore these relationships across the European Union member states with respect to mapping bacterial biodiversity at the continental scale. As part of the EU FP7 EcoFINDERs project, bacterial communities from 76 soil samples taken across Europe were assessed from eleven countries encompassing Arctic to Southern Mediterranean climes, representing a diverse range of soil types and land uses (grassland, forest and arable land). We found predictable relationships between community biodiversity (ordination site scores) and land use factors as well as soil properties such as pH. Based on the modelled relationship between soil pH and bacterial biodiversity found for the surveyed soils, we were able to predict biodiversity in ∼1000 soils for which soil pH data had been collected as part of national scale monitoring. We then performed interpolative mapping utilising existing EU wide soil pH data to present the first map of bacterial biodiversity across the EU member states. The predictive accuracy of the map was assessed again using the national scale data, but this time contrasting the EU wide spatial predictions with point data on bacterial communities. Generally the maps were useful at predicting broad extremes of biodiversity reflective of low or high pH soils, though predictive accuracy was limited for Britain particularly for organic/acidic soil communities. Spatial accuracy could however be increased by utilising published maps of soil pH calculated using geostatistical approaches at both global and national scales. These findings will contribute to wider efforts to predict and understand the spatial distribution of soil biodiversity at global scales. Further work should focus on enhancing the predictive power of such maps, by harmonising global datasets on soil conditioning parameters, soil properties and biodiversity; and the continued efforts to advance the geostatistical modelling of specific components of soil biodiversity at local to global scales

A methodological framework to determine optimum durations for the construction of soil water characteristic curves using centrifugation

peer-reviewedDuring laboratory assessment of the soil water characteristic curve (SWCC), determining equilibrium at various pressures is challenging. This study establishes a methodological framework to identify appropriate experimental duration at each pressure step for the construction of SWCCs via centrifugation. Three common temporal approaches to equilibrium – 24-, 48- and 72-h – are examined, for a grassland and arable soil. The framework highlights the differences in equilibrium duration between the two soils. For both soils, the 24-h treatment significantly overestimated saturation. For the arable site, no significant difference was observed between the 48- and 72-h treatments. Hence, a 48-h treatment was sufficient to determine ‘effective equilibrium’. For the grassland site, the 48- and 72-h treatments differed significantly. This highlights that a more prolonged duration is necessary for some soils to conclusively determine that effective equilibrium has been reached. This framework can be applied to other soils to determine the optimum centrifuge durations for SWCC construction.Teagasc Walsh Fellowship Programm

Guidelines for peer support in high‐risk organizations: An international consensus study using the delphi method

Despite widespread adoption of peer‐support programs in organizations around the world whose employees are at high risk of exposure to potentially traumatic incidents, little consensus exists regarding even the most basic concepts and procedures for these programs. In this article, consensus refers to a group decision‐making process that seeks not only agreement from most participants, but also resolution of minority objections. The aim of the current study was to develop evidence‐informed peer‐support guidelines for use in high‐risk organizations, designed to enhance consistency around goals and procedures and provide the foundation for a systematic approach to evaluation. From 17 countries, 92 clinicians, researchers, and peer‐support practitioners took part in a 3‐round web‐based Delphi process rating the importance of statements generated from the existing literature. Consensus was achieved for 62 of 77 (81%) statements. Based upon these, 8 key recommendations were developed covering the following areas: (a) goals of peer support, (b) selection of peer supporters, (c) training and accreditation, (d) role of mental health professionals, (e) role of peer supporters, (f) access to peer supporters, (g) looking after peer supporters, and (h) program evaluation. This international consensus may be used as a starting point for the design and implementation of future peer‐support programs in high‐risk organizations

Climate change adaptation in agriculture: Ex ante analysis of promising and alternative crop technologies using DSSAT and IMPACT

Achieving and maintaining global food security is challenged by changes in population, income, and climate, among other drivers. Assessing these challenges and possible solutions over the coming decades requires a rigorous multidisciplinary approach. To answer this challenge, the International Food Policy Research Institute (IFPRI) has developed a system of linked simulation models of global agriculture to do long-run scenario analysis of the effects of climate change and various adaptation strategies. This system includes the core International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT), which is linked to water models (global hydrology, water basin management, and water stress on crops) and crop simulation models. The Global Futures and Strategic Foresight program, a CGIAR initiative led by IFPRI in collaboration with other CGIAR research centers, is working to improve these tools and conducting ex ante assessments of promising technologies, investments, and policies under alternative global futures. Baseline projections from IMPACT set the foundation with the latest outlook on long-term trends in food demand and agricultural production based on projected changes in population, income, technology, and climate. On top of the baseline, scenarios are developed for assessing the impacts of promising climate-adapted technologies for maize, wheat, rice, potatoes, sorghum, groundnut, and cassava on yields, area, production, trade, and prices in 2050 at a variety of scales. Yield gains from adoption of the selected technologies vary by technology and region, but are found to be generally comparable in scale to (and thus able to offset) the adverse effects of climate change under a high-emissions representative concentration pathway (RCP 8.5). Even more important in this long-term climate change scenario are effects of growth in population, income, and investments in overall technological change, highlighting the importance of linked assessment of biophysical and socioeconomic drivers to better understand climate impacts and responses. For all crops in the selected countries, climate change impacts are negative with the baseline technology. All new technologies have beneficial effects on yields under climate change, with combined traits (drought and heat tolerance) showing the greatest benefi

‘A silent epidemic of grief’: a survey of bereavement care provision in the UK and Ireland during the COVID-19 pandemic

Objectives: To investigate the experiences and views of practitioners in the UK and Ireland concerning changes in bereavement care during the COVID-19 pandemic. Design: Online survey using a snowball sampling approach. Setting: Practitioners working in hospitals, hospices, care homes and community settings across the UK and Ireland. Participants: Health and social care professionals involved in bereavement support. Interventions: Brief online survey distributed widely across health and social care organisations. Results: 805 respondents working in hospice, community, and hospital settings across the UK and Ireland completed the survey between 3 August and 4 September 2020. Changes to bereavement care practice were reported in: the use of telephone, video and other forms of remote support (90%); supporting people bereaved from non-COVID conditions (76%), from COVID-19 (65%) and people bereaved before the pandemic (61%); funeral arrangements (61%); identifying bereaved people who might need support (56%); managing complex forms of grief (48%) and access to specialist services (41%). Free-text responses demonstrated the complexities and scale of the impact on health and social care services, practitioners and their relationships with bereaved families, and on bereaved people. Conclusions: The pandemic has created major challenges for the support of bereaved people: increased needs for bereavement care, transition to remote forms of support and the stresses experienced by practitioners, among others. The extent to which services are able to adapt, meet the escalating level of need and help to prevent a ‘tsunami of grief’ remains to be seen. The pandemic has highlighted the need for bereavement care to be considered an integral part of health and social care provision

Soil parameters, land use, and geographical distance drive soil bacterial communities along a European transect

To better understand the relationship between soil bacterial communities, soil physicochemical properties, land use and geographical distance, we considered for the first time ever a European transect running from Sweden down to Portugal and from France to Slovenia. We investigated 71 sites based on their range of variation in soil properties (pH, texture and organic matter), climatic conditions (Atlantic, alpine, boreal, continental, Mediterranean) and land uses (arable, forest and grassland). 16S rRNA gene amplicon pyrosequencing revealed that bacterial communities highly varied in diversity, richness, and structure according to environmental factors. At the European scale, taxa area relationship (TAR) was significant, supporting spatial structuration of bacterial communities. Spatial variations in community diversity and structure were mainly driven by soil physicochemical parameters. Within soil clusters (k-means approach) corresponding to similar edaphic and climatic properties, but to multiple land uses, land use was a major driver of the bacterial communities. Our analyses identified specific indicators of land use (arable, forest, grasslands) or soil conditions (pH, organic C, texture). These findings provide unprecedented information on soil bacterial communities at the European scale and on the drivers involved; possible applications for sustainable soil management are discussed