Morphological and nutritional evaluation of ‘caraíba’ seedlings in different substrates using domestic sewage effluent for fertirrigation

In this study, we evaluated the effects of fertigation with domestic sewage effluent and different substrates on the growth of Caraíba seedlings (Tabebuia aurea Benth). The experiment was accomplished in a greenhouse in Mossoró, RN. Five irrigation solutions (100% of water supply - WS, 100% of domestic sewage effluent – DS and dilutions of 75% DS + 25% WS, 50% DS + 50% WS e 25% DS + 75% WS) were tested and two substrates (75% soil + 25% bovine manure and 75% soil + 25% coconut fiber) using completely randomized design in subdivided plots with three replicates per treatment. Growth and development parameters were measured at 30, 60, 90, and 150 days after cultivation. The variables shoots height, collar diameter, height/diameter ratio, dry matter of root, shoots and total (root and shoots), shoots/root ratio, Dickson quality index, and nutritional evaluation of nitrogen, phosphorus, potassium and calcium were determinate. We verified that the use of domestic sewage increased growth and quality of caraíba seedlings, besides promoting nutrient accumulation in the plants grown in substrate of bovine manure plus soil with 100% application of domestic sewage in the fertigationEn este estudio se objetivó evaluar los efectos del agua de fertirrigación con efluente de alcantarillado doméstico y de diferentes sustratos de cultivo en el crecimiento de mudas de Caraíba (Tabebuia aurea Benth). El experimento fue realizado en condiciones de ambiente protegido en la ciudad de Mossoró, RN. Se han probado cinco soluciones de riego (100% de agua de abastecimiento - AA, 100% de efluente de desagüe doméstico - EE y las diluciones del 75% EE + 25% AA, 50% EE + 50% AA y 25% EE + 75 (% AA) y dos sustratos (75% suelo + 25% estiércol de bovinos y 75% suelo + 25% fibra de coco) utilizando el delineamiento estadístico completamente casualizado, arregladas en parcelas subdivididas con tres repeticiones por tratamiento. Las evaluaciones de crecimiento y desarrollo se realizaron a los 30, 60, 90 y 150 días después de la siembra. Se determinaron las variables altura de la parte aérea, diámetro del cuello, relación entre altura y diámetro, materias secas del sistema radicular, de la parte aérea y total (raíz y parte aérea), relación entre raíz y parte aérea, índice de Dickson, y la evaluación nutricional de nitrógeno, fósforo, potasio y calcio. Se verificó que la utilización de efluente doméstico aumentó el crecimiento y la calidad de las mudas de caraíba, además de promover la acumulación nutricional en las plantas cultivadas en sustrato de estiércol bovino más suelo cuando se fertirrigadas con 100% de efluente doméstic

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

A social and ecological assessment of tropical land uses at multiple scales: the Sustainable Amazon Network

Science has a critical role to play in guiding more sustainable development trajectories. Here, we present the Sustainable Amazon Network (Rede Amazonia Sustentavel, RAS): a multidisciplinary research initiative involving more than 30 partner organizations working to assess both social and ecological dimensions of land-use sustainability in eastern Brazilian Amazonia. The research approach adopted by RAS offers three advantages for addressing land-use sustainability problems: (i) the collection of synchronized and co-located ecological and socioeconomic data across broad gradients of past and present human use; (ii) a nested sampling design to aid comparison of ecological and socioeconomic conditions associated with different land uses across local, landscape and regional scales; and (iii) a strong engagement with a wide variety of actors and non-research institutions. Here, we elaborate on these key features, and identify the ways in which RAS can help in highlighting those problems in most urgent need of attention, and in guiding improvements in land-use sustainability in Amazonia and elsewhere in the tropics. We also discuss some of the practical lessons, limitations and realities faced during the development of the RAS initiative so far.Keywords: Social–ecological systems, Tropical forests, Land use, Interdisciplinary research, Sustainability, Trade-off

Ausência da Lutzomyia longipalpis em algumas áreas de ocorrência de leishmaniose visceral no Município do Rio de Janeiro

Em 1977 foi diagnosticado o primeiro caso autóctone de leishmaniose visceral (LV) humano no Município do Rio de Janeiro. A partir de 1980, foram diagnosticados 54 casos autóctones em diversas localidades, sendo que desde 1993 ocorreram 17 casos humanos autóctones notificados. Oito deles ocorreram no bairro de Barra de Guaratiba e o restante distribuído pelos bairros: Camorim, Colônia, Grota Funda, Grumari, Ilha de Guaratiba e Carapiá. Entre setembro de 1996 a dezembro de 1999, foram realizadas capturas de flebotomíneos em 18 localidades nas encostas do maciço da Pedra Branca, no município, e coletados 18.303 espécimes com predomínio de L. intermedia (87,33%), L. migonei (6,59%), L. longipalpis (3,10%) e L. firmatoi (1,90%). A espécie L. longipalpis predominou em Barra de Guaratiba (46,80%), permanecendo ausente nas outras seis localidades onde também ocorreram casos de LV, o que sugere a participação de outras espécies tais como L. migonei e L. firmatoi, pertencentes ao mesmo grupo parafilético da espécie vetora, na cadeia de transmissão da LV na região