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

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 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

Taking the pulse of Earth's tropical forests using networks of highly distributed plots

Tropical forests are the most diverse and productive ecosystems on Earth. While better understanding of these forests is critical for our collective future, until quite recently efforts to measure and monitor them have been largely disconnected. Networking is essential to discover the answers to questions that transcend borders and the horizons of funding agencies. Here we show how a global community is responding to the challenges of tropical ecosystem research with diverse teams measuring forests tree-by-tree in thousands of long-term plots. We review the major scientific discoveries of this work and show how this process is changing tropical forest science. Our core approach involves linking long-term grassroots initiatives with standardized protocols and data management to generate robust scaled-up results. By connecting tropical researchers and elevating their status, our Social Research Network model recognises the key role of the data originator in scientific discovery. Conceived in 1999 with RAINFOR (South America), our permanent plot networks have been adapted to Africa (AfriTRON) and Southeast Asia (T-FORCES) and widely emulated worldwide. Now these multiple initiatives are integrated via ForestPlots.net cyber-infrastructure, linking colleagues from 54 countries across 24 plot networks. Collectively these are transforming understanding of tropical forests and their biospheric role. Together we have discovered how, where and why forest carbon and biodiversity are responding to climate change, and how they feedback on it. This long-term pan-tropical collaboration has revealed a large long-term carbon sink and its trends, as well as making clear which drivers are most important, which forest processes are affected, where they are changing, what the lags are, and the likely future responses of tropical forests as the climate continues to change. By leveraging a remarkably old technology, plot networks are sparking a very modern revolution in tropical forest science. In the future, humanity can benefit greatly by nurturing the grassroots communities now collectively capable of generating unique, long-term understanding of Earth's most precious forests. Resumen Los bosques tropicales son los ecosistemas más diversos y productivos del mundo y entender su funcionamiento es crítico para nuestro futuro colectivo. Sin embargo, hasta hace muy poco, los esfuerzos para medirlos y monitorearlos han estado muy desconectados. El trabajo en redes es esencial para descubrir las respuestas a preguntas que trascienden las fronteras y los plazos de las agencias de financiamiento. Aquí mostramos cómo una comunidad global está respondiendo a los desafíos de la investigación en ecosistemas tropicales a través de diversos equipos realizando mediciones árbol por árbol en miles de parcelas permanentes de largo plazo. Revisamos los descubrimientos más importantes de este trabajo y discutimos cómo este proceso está cambiando la ciencia relacionada a los bosques tropicales. El enfoque central de nuestro esfuerzo implica la conexión de iniciativas locales de largo plazo con protocolos estandarizados y manejo de datos para producir resultados que se puedan trasladar a múltiples escalas. Conectando investigadores tropicales, elevando su posición y estatus, nuestro modelo de Red Social de Investigación reconoce el rol fundamental que tienen, para el descubrimiento científico, quienes generan o producen los datos. Concebida en 1999 con RAINFOR (Suramérica), nuestras redes de parcelas permanentes han sido adaptadas en África (AfriTRON) y el sureste asiático (T-FORCES) y ampliamente replicadas en el mundo. Actualmente todas estas iniciativas están integradas a través de la ciber-infraestructura de ForestPlots.net, conectando colegas de 54 países en 24 redes diferentes de parcelas. Colectivamente, estas redes están transformando nuestro conocimiento sobre los bosques tropicales y el rol de éstos en la biósfera. Juntos hemos descubierto cómo, dónde y porqué el carbono y la biodiversidad de los bosques tropicales está respondiendo al cambio climático y cómo se retroalimentan. Esta colaboración pan-tropical de largo plazo ha expuesto un gran sumidero de carbono y sus tendencias, mostrando claramente cuáles son los factores más importantes, qué procesos se ven afectados, dónde ocurren los cambios, los tiempos de reacción y las probables respuestas futuras mientras el clima continúa cambiando. Apalancando lo que realmente es una tecnología antigua, las redes de parcelas están generando una verdadera y moderna revolución en la ciencia tropical. En el futuro, la humanidad puede beneficiarse enormemente si se nutren y cultivan comunidades de investigadores de base, actualmente con la capacidad de generar información única y de largo plazo para entender los que probablemente son los bosques más preciados de la tierra. Resumo Florestas tropicais são os ecossistemas mais diversos e produtivos da Terra. Embora uma boa compreensão destas florestas seja crucial para o nosso futuro coletivo, até muito recentemente os esforços de medições e monitoramento foram amplamente desconexos. É essencial formarmos redes para obtermos respostas que transcendem fronteiras e horizontes de agências financiadoras. Neste estudo nós mostramos como uma comunidade global está respondendo aos desafios da pesquisa de ecossistemas tropicais, com equipes diversas medindo florestas, árvore por árvore, em milhares de parcelas monitoradas à longo prazo. Nós revisamos as maiores descobertas científicas deste trabalho, e mostramos também como este processo está mudando a ciência de florestas tropicais. Nossa abordagem principal envolve unir iniciativas de base a protocolos padronizados e gerenciamento de dados a fim de gerar resultados robustos em escalas ampliadas. Ao conectar pesquisadores tropicais e elevar seus status, nosso modelo de Rede de Pesquisa Social reconhece o papel-chave do produtor dos dados na descoberta científica. Concebida em 1999 com o RAINFOR (América do Sul), nossa rede de parcelas permanentes foi adaptada para África (AfriTRON) e Sudeste asiático (T-FORCES), e tem sido extensamente reproduzida em todo o mundo. Agora estas múltiplas iniciativas estão integradas através de uma infraestrutura cibernética do ForestPlots.net, conectando colegas de 54 países de 24 redes de parcelas. Estas iniciativas estão transformando coletivamente o entendimento das florestas tropicais e seus papéis na biosfera. Juntos nós descobrimos como, onde e por que o carbono e a biodiversidade da floresta estão respondendo às mudanças climáticas, e seus efeitos de retroalimentação. Esta duradoura colaboração pantropical revelou um grande sumidouro de carbono persistente e suas tendências, assim como tem evidenciado quais direcionadores são mais importantes, quais processos florestais são mais afetados, onde eles estão mudando, seus atrasos no tempo de resposta, e as prováveis respostas das florestas tropicais conforme o clima continua a mudar. Dessa forma, aproveitando uma notável tecnologia antiga, redes de parcelas acendem faíscas de uma moderna revolução na ciência das florestas tropicais. No futuro a humanidade pode se beneficiar incentivando estas comunidades basais que agora são coletivamente capazes de gerar conhecimentos únicos e duradouros sobre as florestas mais preciosas da Terra. Résume Les forêts tropicales sont les écosystèmes les plus diversifiés et les plus productifs de la planète. Si une meilleure compréhension de ces forêts est essentielle pour notre avenir collectif, jusqu'à tout récemment, les efforts déployés pour les mesurer et les surveiller ont été largement déconnectés. La mise en réseau est essentielle pour découvrir les réponses à des questions qui dépassent les frontières et les horizons des organismes de financement. Nous montrons ici comment une communauté mondiale relève les défis de la recherche sur les écosystèmes tropicaux avec diverses équipes qui mesurent les forêts arbre après arbre dans de milliers de parcelles permanentes. Nous passons en revue les principales découvertes scientifiques de ces travaux et montrons comment ce processus modifie la science des forêts tropicales. Notre approche principale consiste à relier les initiatives de base à long terme à des protocoles standardisés et une gestion de données afin de générer des résultats solides à grande échelle. En reliant les chercheurs tropicaux et en élevant leur statut, notre modèle de réseau de recherche sociale reconnaît le rôle clé de l'auteur des données dans la découverte scientifique. Conçus en 1999 avec RAINFOR (Amérique du Sud), nos réseaux de parcelles permanentes ont été adaptés à l'Afrique (AfriTRON) et à l'Asie du Sud-Est (T-FORCES) et largement imités dans le monde entier. Ces multiples initiatives sont désormais intégrées via l'infrastructure ForestPlots.net, qui relie des collègues de 54 pays à travers 24 réseaux de parcelles. Ensemble, elles transforment la compréhension des forêts tropicales et de leur rôle biosphérique. Ensemble, nous avons découvert comment, où et pourquoi le carbone forestier et la biodiversité réagissent au changement climatique, et comment ils y réagissent. Cette collaboration pan-tropicale à long terme a révélé un important puits de carbone à long terme et ses tendances, tout en mettant en évidence les facteurs les plus importants, les processus forestiers qui sont affectés, les endroits où ils changent, les décalages et les réactions futures probables des forêts tropicales à mesure que le climat continue de changer. En tirant parti d'une technologie remarquablement ancienne, les réseaux de parcelles déclenchent une révolution très moderne dans la science des forêts tropicales. À l'avenir, l'humanité pourra grandement bénéficier du soutien des communautés de base qui sont maintenant collectivement capables de générer une compréhension unique et à long terme des forêts les plus précieuses de la Terre. Abstrak Hutan tropika adalah di antara ekosistem yang paling produktif dan mempunyai kepelbagaian biodiversiti yang tinggi di seluruh dunia. Walaupun pemahaman mengenai hutan tropika amat penting untuk masa depan kita, usaha-usaha untuk mengkaji dan mengawas hutah-hutan tersebut baru sekarang menjadi lebih diperhubungkan. Perangkaian adalah sangat penting untuk mencari jawapan kepada soalan-soalan yang menjangkaui sempadan dan batasan agensi pendanaan. Di sini kami menunjukkan bagaimana sebuah komuniti global bertindak balas terhadap cabaran penyelidikan ekosistem tropika melalui penglibatan pelbagai kumpulan yang mengukur hutan secara pokok demi pokok dalam beribu-ribu plot jangka panjang. Kami meninjau semula penemuan saintifik utama daripada kerja ini dan menunjukkan bagaimana proses ini sedang mengubah bidang sains hutan tropika. Teras pendekatan kami memberi tumpuan terhadap penghubungan inisiatif akar umbi jangka panjang dengan protokol standar serta pengurusan data untuk mendapatkan hasil skala besar yang kukuh. Dengan menghubungkan penyelidik-penyelidik tropika dan meningkatkan status mereka, model Rangkaian Penyelidikan Sosial kami mengiktiraf kepentingan peranan pengasas data dalam penemuan saintifik. Bermula dengan pengasasan RAINFOR (Amerika Selatan) pada tahun 1999, rangkaian-rangkaian plot kekal kami kemudian disesuaikan untuk Afrika (AfriTRON) dan Asia Tenggara (T-FORCES) dan selanjutnya telah banyak dicontohi di seluruh dunia. Kini, inisiatif-inisiatif tersebut disepadukan melalui infrastruktur siber ForestPlots.net yang menghubungkan rakan sekerja dari 54 negara di 24 buah rangkaian plot. Secara kolektif, rangkaian ini sedang mengubah pemahaman tentang hutan tropika dan peranannya dalam biosfera. Kami telah bekerjasama untuk menemukan bagaimana, di mana dan mengapa karbon serta biodiversiti hutan bertindak balas terhadap perubahan iklim dan juga bagaimana mereka saling bermaklum balas. Kolaborasi pan-tropika jangka panjang ini telah mendedahkan sebuah sinki karbon jangka panjang serta arah alirannya dan juga menjelaskan pemandu-pemandu perubahan yang terpenting, di mana dan bagaimana proses hutan terjejas, masa susul yang ada dan kemungkinan tindakbalas hutan tropika pada perubahan iklim secara berterusan di masa depan. Dengan memanfaatkan pendekatan lama, rangkaian plot sedang menyalakan revolusi yang amat moden dalam sains hutan tropika. Pada masa akan datang, manusia sejagat akan banyak mendapat manfaat jika memupuk komuniti-komuniti akar umbi yang kini berkemampuan secara kolektif menghasilkan pemahaman unik dan jangka panjang mengenai hutan-hutan yang paling berharga di dunia

Intoxicações por plantas e micotoxinas associadas a plantas em bovinos no Rio Grande do Sul: 461 casos

Foi realizado um levantamento nos arquivos do Laboratório de Patologia Veterinária (LPV) da Universidade Federal de Santa Maria (UFSM) e revisados os laudos de necropsias de bovinos realizadas entre 1990 e 2005. Foram revisados 2.912 casos referentes a necropsias realizadas por membros do LPV ou a materiais de necropsias realizadas por veterinários de campo que enviaram amostras para avaliação histológica no LPV. Em 461 (15,83%) das necropsias, a causa da morte foi atribuída à ingestão de plantas tóxicas. Em ordem decrescente de freqüência, intoxicações pelas seguintes plantas foram diagnosticadas: Senecio spp (56,14%), Pteridium aquilinum (12,06%), Ateleia glazioviana (10,31%), Solanum fastigiatum (5,04%), Baccharis coridifolia (3,29%), Xanthium cavanillesii (3,07%), Senna occidentalis (2,63%), Ramaria flavo-brunnescens (2,41%), Amaranthus spp (2,19%), Vicia villosa (1,54%), Ipomoea batatas, Prunus sellowii e polpa cítrica (0,44% cada), Cestrum parqui, Claviceps paspali, Claviceps purpurea, Brachiaria spp e Lantana sp (0.22% cada). Em um determinado surto o número de bovinos afetados era substancialmente maior que o número de necropsias realizadas. São discutidos os aspectos relacionados à distribuição geográfica, fatores que induziram a ingestão, índices de morbidade, mortalidade e letalidade, sinais clínicos, achados de necropsia e histopatológicos para cada intoxicação. Quando conhecidos, foram incluídos na discussão aspectos relacionados ao princípio ativo e a patogenia da intoxicação

Aspectos clínico-hematológicos e lesões vesicais na intoxicação crônica espontânea por Pteridium aquilinum em bovinos Clinical and hematological aspects and urinary bladder lesions in chronic spontaneous poisoning by Pteridium aquilinum in cattle

Foram estudados casos espontâneos de intoxicação crônica por samambaia (Pteridium aquilinum) em bovinos nas formas clinicopatológicas de carcinoma de células escamosas (CCE) no trato alimentar superior (TAS) e de hematúria enzoótica bovina (HEB), provenientes da Mesorregião Centro Ocidental Rio-Grandense e encaminhados ao Laboratório de Patologia Veterinária da Universidade Federal de Santa Maria. Para o estudo clínico foram avaliados os sinais clínicos de bovinos com CCEs no TAS e com HEB e realizados hemogramas na fase terminal da doença. Os principais sinais clínicos nos bovinos com CCEs no TAS foram emagrecimento progressivo, atonia ruminal, tosse, disfagia, timpanismo e regurgitação. Nos bovinos com HEB, hematúria foi o principal sinal, observado em todos os casos, seguido de emagrecimento progressivo. No exame hematológico, 33,33% dos bovinos com CCEs no TAS e 66,67% dos bovinos com HEB apresentaram anemia arregenerativa. Alterações no leucograma ocorreram em alguns casos, mas linfopenia foi um achado infreqüente em ambas as formas de intoxicação. Para o estudo morfológico, foram avaliadas as bexigas de 46 bovinos com CCEs no TAS e de 11 bovinos com HEB. Macroscopicamente, 16/46 bexigas dos casos de CCEs no TAS apresentaram alterações macroscópicas, que consistiam nódulos vermelhos ou pálidos, hemorragia e papilomas; urina vermelha foi observada na necropsia de apenas três casos). Nos casos de HEB, os achados macroscópicos vesicais foram nódulos vermelhos, massas neoplásicas focalmente extensas, urina vermelha, papilomas, hemorragias e ruptura de bexiga; pielonefrite e hidronefrose foram observados em poucos casos. Histologicamente, 44/46 (95,65%) bexigas de bovinos com CCEs no TAS apresentaram 22 tipos diferentes de alterações morfológicas, que foram classificadas em alterações neoplásicas (5/22) e alterações não-neoplásicas (17/22); essas últimas foram divididas em alterações epiteliais não-neoplásicas (6/17), alterações gerais na lâmina própria (6/22) e alterações inflamatórias (5/17). Os achados histológicos das bexigas dos casos de HEB foram classificados da mesma forma, resultando em 19 tipos diferentes de alterações morfológicas. Dessas, 5/19 eram alterações neoplásicas e 14/20, alterações não-neoplásicas (9/14 alterações epiteliais não neoplásicas, 3/14 alterações gerais na lâmina própria e 2/14 alterações inflamatórias). Na HEB, os neoplasmas mesenquimais foram mais freqüentemente observados que os epiteliais, e a maior parte era maligna. A técnica de imuno-histoquímica foi utilizada para caracterizar os aspectos morfológicos, principalmente dos neoplasmas. Através do estudo morfológico concluiu-se que é muito freqüente a ocorrência de lesões vesicais em bovinos com a forma crônica de CCEs no TAS e que essas lesões são idênticas às encontradas nos bovinos com HEB.<br>Spontaneous cases of chronic poisoning by Pteridium aquilinum in cattle were studied. The clinical forms of the disease were squamous cell carcinoma (SCCs) of the upper digestive tract (UDT) and bovine enzootic hematuria (BEH). The cases were from the midland Region of the Midwest of Rio Grande do Sul State, Brazil, and were submitted to the Laboratório de Patologia Veterinária of the Universidade Federal de Santa Maria. Clinical signs and blood work were evaluated at terminal phase of disease. Cattle with UDT SCCs had progressive weigth loss, ruminal atony, cough, dysphagia, bloating, and regurgitation. In cattle with BEH, hematuria was observed in all cases, followed by progressive weight loss. Non-regenerative anemia was detected in 33.33% of the cattle with UDT SCCs form and in 66.66% of the cattle with BEH form. Changes in white blood count occurred in some cases but drop in lymphocyte numbers was uncommon in both forms of disease. For the morphological study, urinary bladders from 46 cattle with UDT SCCs and 11 cattle with BEH were analyzed. Grossly, 16/46 bladders from the UDT SCCs form had gross lesions (red or pale vesical nodules, hemorrhages, and papilomas; red urine was detected at necropsy of only three cases). In BEH form, the bladder had nodules, large neoplastic masses, red urine, papilomas, and hemorrhages. Pyelonephritis and hydronephrosis were seen in a few cases. Microscopically, in the UDT SCCs form, 44/46 (95.65%) bladders had 22 different types of morphological changes, characterized by neoplastic lesions (5/22) and non-neoplastic lesions (17/22); the latter were subdivided in non-neoplastic epithelial changes (6/17), general changes of the lamina propria (6/17), and inflammatory changes (5/17). The bladder changes in BEH form were of 19 different types, characterized by neoplastic lesions (5/19) and non-neoplastic lesions (14/19), which were subdivided in non-neoplastic epitelial changes (9/14), general changes of the lamina propria (3/14), and inflammatory changes (2/14). In BEH, mesenchymal neoplasms were more observed than epithelial ones, and most of them were malignant. Immunohistochemistry was utilized to characterize the histogenesis of poorly differentiated neoplasms. In conclusion, the morphological study demonstrated that urinary bladder lesions identical to the those seen in cattle with BEH, are very often present in cattle with the UDT SCCs form

Surto de pitiose cutânea em bovinos Outbreak of cutaneous pythiosis in cattle

Setenta e seis bovinos, sem raça definida, jovens, de ambos os sexos, apresentaram lesões cutâneas multifocais nodulares, ulceradas e crostosas nas faces medial e lateral dos membros anteriores e posteriores, região ventral do pescoço, esterno e cauda. A doença ocorreu no verão e as lesões foram observadas nas regiões do corpo que ficavam grande tempo em contato com a água em canais de irrigação. Histologicamente observaram-se múltiplos granulomas e piogranulomas contendo escassas imagens negativas de hifas na área central, as quais foram melhor evidenciadas através da técnica de metenamina nitrato de prata de Grocott. O diagnóstico etiológico definitivo foi baseado na técnica de imuno-histoquímica com anticorpo policlonal anti-Pythium insidiosum. Adicionalmente, foi realizado o teste de ELISA indireto. Surtos de pitiose cutânea bovina são incomuns e, particularmente neste relato, todos os animais afetados tiveram cura espontânea das lesões dentro de duas a três semanas.<br>Seventy-six young mixed breed cattle of both sexes, presented multifocal ulcerated nodular cutaneous lesions localized in the medial and lateral aspects of fore and hindlimbs, ventral neck, sternum, and tail. The disease occurred during summer and lesions were observed on areas of the body which were in contact with water of irrigation channels for long periods. Histologically, there were multiple granulomas and pyogranulomas with few negative profiles of hyphae, which were better visualized throughout Grocott methenamine silver stain. Definitive etiologic diagnosis was based on immuno-histochemistry with anti-Pythium insidiosum polyclonal antibody. Additionally, an indirect ELISA test was performed. Bovine cutaneous pythiosis outbreaks are uncommon and, particularly as occurred in the cattle of this report, all affected animals had spontaneous healing within two to three weeks