TRY plant trait database – enhanced coverage and open access

Plant traits - the morphological, anatomical, physiological, biochemical and phenological characteristics of plants - determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits - almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

Urban Overdose Hotspots: A 12-Month Prospective Study in Dublin Ambulance Services

Background: Opioid overdose is the primary cause of death among drug users globally. Personal and social determinants of overdose have been studied before, but the environmental factors lacked research attention. Area deprivation or presence of addiction clinics may contribute to overdose. Objectives: To examine the baseline incidence of all new opioid overdoses in an ambulance service, and their relationship with urban deprivation and presence of addiction services. Methods: A prospective chart review of pre-hospital advanced life support patients was performed on confirmed opioid overdose calls. Demographic, geographic, and clinical information, i.e. presentation, treatment, outcomes, was collected for each call. The Census data were used to calculate deprivation. Geographical information software mapped the urban deprivation and addiction services against the overdose locations. Results: There were 469 overdoses, 13 of which were fatal; most were male (80%), of a young age (32 years), with a high rate of repeated overdoses (26%), and common poly-drug use (9.6%). Majority occurred in daytime (275), on the streets (212). Overdoses were more likely in more affluent areas (r = .15, P < .05), and in a 1000 m radius of addiction services. Residential overdoses were in more deprived areas than street overdoses (mean difference 7.8, t(170) = 3.99, P < .001). Street overdoses were more common in the city centre than suburbs (χ2(1) = 33.04, P < 0.001). Conclusions: the identified clusters of increased incidence – urban overdose hotspots - suggest a link between environment characteristics and overdoses. This highlights a need to establish overdose education and naloxone distribution in the overdose hotspots.MERI