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

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

Perfil e processo da assistência prestada ao recém-nascido de risco no Sul do Brasil Profile and process of the care provided to high-risk newborns in southern Brazil

OBJETIVO: Caracterizar os recém-nascidos (RN) de risco e verificar o processo de assistência dispensado pelo Programa de Vigilância ao Recém-nascido de Risco do município de Maringá, PR. METODOLOGIA: Os dados foram coletados dos prontuários e das Fichas de Acompanhamento de uma amostragem estratificada composta por 505 RN de risco nascidos em 2007. As variáveis maternas, neonatais e assistenciais foram analisadas descritivamente utilizando o software Statistica 7.1. RESULTADOS: O Programa considerou somente os riscos biológicos como critério de inclusão, podendo os mesmos estar isolados (63,2%) ou associados entre si (36,8%). Sobre as mães, 71,5% eram adultas, 78,2% com escolaridade > 8 anos de estudo, 57,2% sem companheiro, 55,3% com ocupação não remunerada, 69,5% com > 6 consultas pré-natal, 87,3% de gravidez única e 65,4% realizaram parto cesáreo. Sobre os RN de risco, 51% eram masculinos, 50,3% com baixo peso ao nascer, 51,5% a termo, 95,8% sem anomalias congênitas e 90,3% com Apgar > 7 no 5º minuto. Sobre a assistência prestada às crianças de risco 69,5% foram acompanhadas pelo Programa, 71% dos prontuários foram localizados, 82,6% com nenhuma visita domiciliar, 8,9% receberam > 12 consultas médicas, 33,1% não receberam nenhuma orientação, 5,8% foram hospitalizados, 18,7% apresentaram > 12 pesagens, e 19,8% apresentaram registro de imunização completa. CONCLUSÃO: Faz-se necessário reorganizar a atenção básica que assegure a integralidade da assistência e à continuidade do acompanhamento do desenvolvimento e crescimento biopsicossocial da criança de risco.<br>OBJECTIVE: To describe newborns at risk and check the process of care provided by the High Risk Newborn Surveillance Program in Maringá-PR. METHODS: Data were collected from medical records and monitoring sheets of a stratified sample consisting of 505 newborns at risk, born in 2007. Maternal and neonatal care were analyzed descriptively using Statistica 7.1 software. RESULTS: The program only considered biological risks as inclusion criteria, whether they appeared alone (63.2%) or associated (36.8%). Regarding mothers, 71.5% were adults, 78.2% had > 8 years of schooling, 57.2% were single parents, 55.3% had an unpaid occupation, 69.5% had > 6 prenatal visits, 87.3% had a single baby, and 65.4% had a C-section. Regarding newborns at risk, 51% were male, 50.3% had low birth weight, 51.5% were full term, 95.8% without congenital anomalies, and 90.3% with 5th minute scores > 7. Regarding care provided to children at risk, 69.5% were accompanied by the Program, 71% of the medical records were located, for 82.6% there were no home visits, 8.9% received > 12 medical consultations, 33.1% had not received any guidance, 5.8% were hospitalized, 18.7% were weighed > 12 times, and 19.8% presented full immunization records. CONCLUSION: It is necessary to reorganize primary care to ensure integral care and for ongoing monitoring of the bio-psychosocial development and growth of children at risk

Risk factors for infant mortality in a municipality in southern Brazil: a comparison of two cohorts using hierarchical analysis Fatores de risco para mortalidade infantil em município do Sul do Brasil: comparação de duas coortes em análise hierarquizada

This study compared risk factors for infant mortality in 2000-2001 and 2007-2008 in Londrina, Paraná State, Brazil. Data on live births and infant deaths were linked in a single database, and a hierarchical regression model was used. Distal risk factors for infant mortality in 2000-2001 were maternal age < 20 or &#8805; 35 years and lower maternal schooling. In 2007-2008, maternal age &#8805; 35 or < 20 years were risk factors, while low schooling appeared as a protective factor. The following intermediate factors were associated with increased infant mortality in 2000-2001: multiple pregnancy, history of stillbirth, and insufficient number of prenatal visits, while cesarean delivery was a protective factor. Multiple pregnancy was the only intermediate risk factor in 2007-2008. All of the proximal factors were associated with higher infant mortality in 2000-2001, but only gestational age and 5-minute Apgar in 2007-2008. The risk factors for infant mortality changed from the first to the second cohort, which may be related to the expansion of social policies and primary care and changes in the reproductive and social patterns of Brazilian women.<br>Compararam-se fatores de risco para mortalidade infantil nos anos 2000/2001 e 2007/2008 em Londrina, Paraná, Brasil. Dados sobre nascidos vivos e óbitos infantis foram vinculados em base de dados única, e usou-se análise de regressão em modelo hierárquico. No nível distal, foram de risco para mortalidade infantil, em 2000/2001, idade materna < 20 e &#8805; 35 anos e escolaridade materna baixa. Em 2007/2008, idades maternas &#8805; 35 e < 20 anos foram de risco, enquanto escolaridade baixa, protetora. Associaram-se à maior mortalidade infantil, no nível intermediário, em 2000/2001: gestação múltipla, filhos mortos e número insuficiente de consultas pré-natal, enquanto cesariana foi fator protetor. Em 2007/2008, apenas gestação múltipla foi de risco. Todos os fatores proximais associaram-se à maior mortalidade infantil em 2000/2001 e, em 2007/2008, apenas idade gestacional e Apgar no quinto minuto. Houve mudanças nos fatores de risco para a mortalidade infantil nos biênios analisados, o que pode estar relacionado à ampliação de políticas sociais e de ações básicas de saúde, e a modificações no padrão reprodutivo e social das mulheres