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

Protected area asset stewardship

Protected areas (PAs) are the main strategy to conserve natural values and reduce biodiversity loss. However, with increasing global food requirements, using land for protecting landscapes and species is becoming increasingly difficult to justify. Here, we argue that framing PAs as spatial assets provides an ideal platform for generating investment and increasing their political/cultural resilience. Specifically, we define and characterize PAs in terms of their biophysical, human, infrastructure, institutional and cultural assets, making explicit the forms of value they create and for whom, and identifying types of investment needed to generate value in the medium and long term. These assets can be protected, managed and/or invested in to generate (monetizable and non-monetizable) forms of value. They can also be at risk from a variety of factors. Building on contemporary conservation policy, our asset framework provides an innovative approach to the development and management of PAs in the 21st Century

Fatores associados à não adesão aos antirretrovirais em adultos com AIDS nos seis primeiros meses da terapia em Salvador, Bahia, Brasil

O controle da replicação viral é essencial na terapia antirretroviral altamente potente (TARV) e a adesão ao tratamento é o fundamento para esse controle. Fatores individuais e externos influenciam a adesão aos antirretrovirais (ARV). Estudo transversal para investigar fatores associados à não adesão à TARV, em indivíduos com AIDS em Salvador, Bahia, Brasil, com idade ≥ 13 anos e primeira prescrição em 2009. Dados coletados em prontuários e registros da farmácia. Dos 216 pacientes, 65,3% eram homens; idade média 37,8 ± 9,5 anos, solteiros 67,9%; heterossexuais 64%; > 8 anos de estudo 65,3%, etilistas 61,5% e não relatou tabagismo 75,1% ou uso de drogas 93,7%. Iniciaram a TARV com TCD4+ < 350 células/mm3 94%, 61,8% sintomáticos e 68,4% apresentaram reação adversa ao medicamento. Prevalência de não adesão 25%. Variáveis associadas: maior tempo entre o diagnóstico de infecção pelo HIV e a AIDS (aOR = 3,9), reação adversa ao medicamento (aOR = 2,4), idade menor que 34 anos (aOR = 2,2), menos que 8 anos de estudo (aOR = 2,2) e uso de drogas (aOR = 2,6). A alta taxa de não adesão é um problema importante nos seis primeiros meses da TARV