MODELO PRESSÃO-ESTADO-IMPACTO-RESPOSTA (PEIR) NA SUB-BACIA DO ALTO PARAGUAÇU PARAAVALIAÇÃO DA SUSTENTABILIDADE NO SETOR AGROPECUÁRIO

As atividades do setor agropecuário são um dos principais geradores de impactos negativos na estrutura e na dinâmica das paisagens naturais, principalmente nos locais onde não há um planejamento ou regramento legal para o uso e ocupação dasterras, implicando em diversos processos de degradação ambiental, principalmente a supressão de vegetação nativa via desmatamento e/ou queimadas; poluição atmosférica e aquecimento global; entre outros (FAHRIG, 2003; ROCHA et al., 2014)

Meta-análise sobre os efeitos da fragmentação e perda de habitat sobre a comunidade de abelhas de orquídeas (Insecta; Hymenoptera; Apidae; Euglossini): Importante grupo de polinizadores neotropicais

Em florestas tropicais e subtropicais as abelhas da tribo Euglossini (“abelhas de orquídeas”) (Hymenoptera; Apidae), têm sido amplamente utilizadas nos estudos sobre fragmentação e perda de habitat (Brosi 2009); Briggs et al. (2013); Aguiar et al. (2015). Essas abelhas são responsáveis pela polinização de centenas de espécies nativas e agricultáveis (Janzen, 1971)

Does Forest Phisiognomy affect the Structure of Orchid Bee (Hymenoptera, Apidae, Euglossini) Communities? A Study in the Atlantic Forest of Rio de Janeiro state, Brazil

We describe and discuss the composition, abundance and diversity of euglossine in three vegetation types of the Atlantic Forest (Lowland Seasonal Semideciduous, Submontane Seasonal and Dense Montane Ombrophilous Forest) in Rio de Janeiro state, Brazil, compare them to previous studies in the region and investigate the importance of the vegetation types, climatic and geomorphological factors on the species composition. Male euglossine bees attracted by fragrances were sampled monthly from August/2008 to July/2009 using entomological nets and traps. Euglossine bee communities exhibited differences in their species composition and abundance along the year and in the vegetation types. The precipitation, altitude and vegetation types demonstrated a significant influence on the ordination of the euglossine communities. Our study found differences in the composition of euglossine bee communities as well as in their patterns of abundance and dominance among different vegetation formations, stressing the importance of the conservation of landscape mosaics in the region

Orchid Bees (Hymenoptera: Apidae: Euglossini) in Seasonally Dry Tropical Forest (Caatinga) in Brazil

Euglossini bees are important Neotropical pollinators, but there is a lack in the knowledge about this fauna in dry tropical environments. The aims of this study were to evaluate the richness and abundance of euglossine bees in two fragments of seasonally dry tropical forest (Caatinga), as well as to assess the distribution of euglossine species richness in the Caatinga environment. Males were collected along 12 consecutive months, using traps with aromatic baits. The species richness (S=5) was lower than in rainforests and savannas. Euglossa cordata (L.) was the dominant species in the assemblage, representing 70% of the individuals. The highest abundance occurred in the rainy season. Euglossini fauna presents low local species richness in Caatinga areas, however the beta diversity is higher, since assemblages in different habitats have differences in species composition

HÁBITOS DE NIDIFICAÇÃO E RECURSOS FLORAIS UTILIZADOS PELAS ABELHAS Xylocopa: UMA REVISÃO

As angiospermas fornecem a maior parte dos nutrientes da dieta humana, para isso muitas delas dependem da polinização cruzada. Estima-se que 88% das plantas floríferas se reproduzem via polinizadores (OLLERTON, et al., 2011)

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

Euglossine bee communities in small forest fragments of the Atlantic Forest, Rio de Janeiro state, southeastern Brazil (Hymenoptera, Apidae)

Euglossine bee communities in small forest fragments of the Atlantic Forest, Rio de Janeiro state, southeastern Brazil (Hymenoptera, Apidae). Euglossine bees are important pollinators in forests and agricultural areas. Although the structure of their communities is critically affected by anthropogenic disturbances, little is known about these bees in small forest fragments. The objectives of this study were to analyze the composition, abundance, and diversity of euglossine bee species in nine small fragments of different phytophysiognomies of the Atlantic Forest in southeastern Brazil, and to identify the environmental variables that may be related to the species composition of these communities. Males were sampled quarterly from May 2007 to May 2009 with aromatic traps containing methyl cinnamate, vanillin, eucalyptol, benzyl acetate, and methyl salicylate. A total of 1558 males, belonging to 10 species and three genera of Euglossina were collected. The richness ranged from five to seven species per fragment. Euglossa cordata, E. securigera, Eulaema nigrita e E. cingulata were common to all fragments studied. The diversity differed significantly among areas, ranging from H' = 1.04 to H' = 1.65. The precipitation, phytophysiognomy, and altitude had the highest relative importance over the species composition variation. The results presented in this study demonstrate that small forest fragments are able to support populations of euglossine bee species, most of which are widely distributed and reportedly tolerant to open and/or disturbed areas and suggest that the conservation of such areas is important, particularly in areas that are regenerating and in regions with agricultural matrices where these bees can act as important pollinator