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

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Dor torácica não-cardiogênica Non-cardiac chest pain

CONTEXTO: Dor torácica não-cardiogênica ou dor torácica funcional é síndrome clínica com elevada prevalência no mundo ocidental, podendo estar presente entre 15% a 30% dos pacientes com coronariografias normais. Tem importante impacto na qualidade de vida dos pacientes e associa-se com considerável aumento da utilização dos serviços de saúde. FONTES DE INFORMAÇÃO: Para esta revisão, foram utilizadas as seguintes bases de dados: Medline, the Cochrane Library, LILACS e livros nacionais. Das publicações dos últimos 5 anos foram selecionadas fontes relevantes como artigos originais, artigos de revisão, consensos, diretrizes e revisões sistemáticas de literatura com meta-análise. Publicações relevantes anteriores ao período de tempo analisado, foram também incluídas. RESULTADOS: Foram incluídas 44 publicações, sendo 28 artigos originais, 12 trabalhos de revisão, 2 diretrizes, 1 meta-análise e 1 consenso. CONCLUSÕES: A dor torácica não-cardiogênica abrange a investigação do trato digestório, do aparelho musculoesquelético, do aparelho respiratório e de distúrbios psicológicos. O objetivo do tratamento é o alívio ou eliminação do sintoma e deve estar voltado para o principal mecanismo gerador. A base do tratamento é medicamentosa, entretanto, pode ser necessária intervenção de natureza psicológica e, nos pacientes com acalásia a terapia endoscópica ou cirúrgica. Considerando-se que a maioria dos pacientes apresentarão causas relacionadas ao esôfago, sendo as principais, a doença do refluxo gastroesofágico e distúrbios motores, as principais medicações utilizadas no controle da dor torácica não-cardiogênica são os inibidores da bomba de prótons e os antidepressivos tricíclicos. Recentemente, novas modalidades diagnósticas e também formas de tratamento, tais como, a injeção por endoscopia de toxina botulínica no esôfago e a hipnose, estão em investigação e algumas poderão ocupar lugar no cenário do tratamento destes pacientes.<br>CONTEXT: Non-cardiac chest pain or functional chest pain is a syndrome with high prevalence in ocidental world. Findings on 15%-30% of coronary angiograms performed in patients with chest pain are normal. Causes significant impact in quality of life of patients and is associated with increased use of the health care facilities. DATA SOURCES: To this review the following data base were accessed: Medline, the Cochrane Library, LILACS. The limit was the last 5 years publications and were selected relevant original articles, reviews, consensus, guidelines and meta-analysis. RESULTS: Forty-four papers were selected, 28 original articles, 12 reviews, 2 guidelines, 1 consensus and 1 meta-analysis. CONCLUSIONS: Exclusion of cardiac disease is of crucial importance. On the other hand non-cardiac chest pain could be related to gastrointestinal, muscular and respiratory causes and/or psychological disturbances. Treatment aims to attack mechanism generator in order to relieve or to eliminate symptoms. Drugs are the cornerstone of treatment, exception to achalasia patients because those have better response to dilation of the esophagus or surgery, and to those who need intensive pyschological therapy. The most important drugs used are proton pump inhibitors and triciclic antidepressants, the latter, to modulate central signal process (visceral hypersensitivity) and autonomic response. Recently, new diagnostic facilities, and also therapeutic modalities, such as esophageal botulin toxin injection and hypnosis are under investigations. In the near future, maybe some of them would take a place in the therapeutic scenario of these patients

Characterisation of microbial attack on archaeological bone

As part of an EU funded project to investigate the factors influencing bone preservation in the archaeological record, more than 250 bones from 41 archaeological sites in five countries spanning four climatic regions were studied for diagenetic alteration. Sites were selected to cover a range of environmental conditions and archaeological contexts. Microscopic and physical (mercury intrusion porosimetry) analyses of these bones revealed that the majority (68%) had suffered microbial attack. Furthermore, significant differences were found between animal and human bone in both the state of preservation and the type of microbial attack present. These differences in preservation might result from differences in early taphonomy of the bones. © 2003 Elsevier Science Ltd. All rights reserved