37 research outputs found
Taxonomia, estrutura e riqueza das assembléias de larvas e pupas de Trichoptera (Insecta), em igarapés na AmazÎnia Central
A estrutura das assemblĂ©ias de larvas e pupas de Trichoptera (Insecta) e sua riqueza associadas a fatores fĂsico-quĂmicos dos igarapĂ©s, foram avaliados em igarapĂ©s do municĂpio de Presidente Figueiredo, nas Reserva Florestal Adolpho Ducke e Reservas do Projeto DinĂąmica BiolĂłgica de Fragmentos Florestais nos municĂpios de Manaus e Rio Preto da Eva. Foram amostrados 92 igarapĂ©s no perĂodo de abril de 2002 a fevereiro de 2003. . Foram encontrados 102 morfĂłtipos distribuĂdos em 39 gĂȘneros de 13 famĂlias. Helicopsyche sp. 1, Phylloicus elektoros, Helicopsyche sp. 2, Mortoniella sp. 1, Mortoniella sp. 2, Protoptila sp. 1, Leptonema maculatum, Leptonema sparsum, Macronema sp. 3, Macrostemum erichsoni, Neotrichia sp. 1, Amazonatolica hamadae, Anphoropsyche sp.1, Marilia sp. 1, Chimarra sp 1, Wormaldia sp. 1, e Cernotina sp. 1 foram os tĂĄxons mais freqĂŒentes e abundantes. As espĂ©cies: Phylloicus amazonas, P. elektoros, Austrotinodes ariase, Leptonema amazonense, L. maculatum, L. sparsum e Leptonema sp. 4, (provĂĄvel sp. n), Macronema exophthalmum, Macrostemum sp. 1, M. erichsoni, M. hyalinum, M. ulmer, Smicridea (Rhyacophylax) gladiator, foram associadas Ă s larvas e pupas. Este Ă© o primeiro registro de Macrostemum hyalinum, dos gĂȘneros Flintiella e Amphoropsyche para o estado do Amazonas. A AnĂĄlise de CorrespondĂȘncia CanĂŽnica entre a abundĂąncia de larvas e pupas dos tĂĄxons, explicou 12,7 % da variĂąncia dos fatores. O eixo 1 (8,3 %), separou os igarapĂ©s das Reservas do PDBFF e Reserva Ducke e igarapĂ©s de Presidente Figueiredo, sendo que maior VazĂŁo, pH, temperatura, condutividade e percentual de pedras soltas, foram as variĂĄveis relacionadas a essa separação, jĂĄ o maior percentual de raĂzes, de folhiço, abertura do dossel e tipo de cobertura vegetal, ordenou os igarapĂ©s das Reservas do PDBFF e diferenciando dos igarapĂ©s da Reserva Ducke. Os tĂĄxons, Mortoniella sp. 1, Macrostemum ulmeri, Neotrichia sp. 2, Chimarra sp. 1 foram caracterĂsticos de folhas em correnteza; Phylloicus elektoros de folhas em remanso; Leptonema amazonense, Alisotrichia sp., Leucotrichia sp. e Zumatrichia sp. de fundo rochoso em correnteza; Cyrnellus sp.1, de macrĂłfitas em ĂĄreas de remanso; Protoptila sp. 2, Smicridea (Rhyacophylax) gladiator, Ceratotrichia sp. 1, Metrichia sp. 1, Metrichia sp. 2 Oecetis sp. 4, Marilia sp. 2 de pedras soltas e seixos em correnteza, Austrotinodes ariase, Leptonema maculatum, L. sparsum, Macronema exophthalmum, Macronema sp. 3, Macrostemum erichsoni, Smicridea (Smicridea) sp. 7, Neotrichia sp. 1, Neotrichia sp. 3, Neotrichia sp. 7, Amazonatolica hamadae, Amphoropsyche sp. 1, Nectopsyche sp. 4, Nectopsyche sp. 5, Oecetis sp, 2, Marilia sp. 1, Wormaldia sp. 1, Cernotina sp. 1, Sericostomatidae A sp. 1, Sericostomatidae A sp. 2, de raĂzes em correnteza
Taxonomia e estrutura de comunidade de Trichoptera (Insecta) no municiÌpio de Presidente Figueiredo, Amazonas, Brasil
Estudos sobre Trichoptera, especialmente sobre os estaÌgios larvais, saÌo raros no Brasil. Dessa forma, este trabalho tem como objetivo incrementar o conhecimento sobre a taxonomia e estrutura da comunidade de Trichoptera, baseado no estaÌgio larval, no municiÌpio de Presidente Figueiredo, AmazoÌnia Central, AM. Para relacionar fatores ambientais com a distribuiçaÌo de morfoÌtipos foram realiadas coletas em 26 igarapeÌs no ano de 2000, uma na estaçaÌo chuvosa (fevereiro-março) e outra na seca (seembro-outubro). AnaÌlise de correspondeÌncia sugere que aÌreas de turbuleÌncia e remanso saÌo mais importantes para explicar a distribuiçaÌo dos morfoÌtipos do que as estaçoÌes chuvosa e seca. IgarapeÌs com fundo rochoso, aÌreas abertas e sem represamento, apresentaram maior riqueza ao niÌvel de morfoÌtipos. A correlaçaÌo entre o nuÌmero total de larvas coletadas e fatores fiÌsico-quiÌmicos dos igarapeÌs indicou uma associaçaÌo entre a vazaÌo, velocidade e largura. Na estaçaÌo chuvosa a distribuiçaÌo das larvas apresentou correlaçaÌo negativa com a profundidade e positiva com temperatura, na seca a correlaçaÌo foi positiva com vazaÌo e velocidade. Para avaliar a estrutura da comunidade de Trichoptera foram realizadas coletas mensais em treÌs igarapeÌs durante 8 meses (março a outubro de 2000). A estrutura da comunidade nesse periÌodo permaneceu estaÌvel, Smicridea (R.) sp. 1, Helicopsychidae sp. e Marilia sp. 1 foram os morfoÌtipos mais frequÌentes e abundantes nos treÌs igarapeÌs, enquanto que Glossosomatidae sp. 1 ocorreu apenas em dois igarapeÌs. Foram coletados 8.159 imaturos de Trichoptera, distribuiÌdos em 11 famiÌlias, 32 geÌneros e 55 morfoÌtipos, as famiÌlias com maior nuÌmero de geÌneros foram Hydropsychidae e Hydroptilidae. Foram registrados pela primeira vez para AmazoÌnia Brasileira a famiÌlia Xiphocentronidae e os geÌneros Alisotrichia, Anchitrichia, hydroptila, Zumatrichia, Taraxitrichia, Atanatolica e Xiphocentron. Uma chave ilustrada para identificaçaÌo de famiÌlias e geÌneros de larvas de Triichoptera para a aÌrea de estudo eÌ apresentada
Ceratotrichia Flint, 1992 (Trichoptera: Hydroptilidae) larval and pupal description and new genus records for Brazil
PES AMO, HAMADA N. 2004. Ceratotrichia Flint, 1992 (Trichoptera:
Hydroptilidae) larval and pupal description and new genus records for
Brazil. Entomotropica 19(1):31-37. The first description of
Ceratotrichia larva and pupa is provided. Also, this is the first time
that this genus is reported in Brazil; the specimens were collected in
streams in Presidente Figueiredo County, Amazonas state. Association of
the immatures with the adults was made using the metamorphotype
technique, and identification was made by comparison of pharate adults
with the original genus description. The larva has morphological
characteristics typical of the Leucotrichiini tribe. Other new records
for Brazil include the genera Alisotrichia Flint and Zumatrichia
Mosely, while the record of Anchitrichia Flint is new for Brazilian
Amazonia.PES AMO, HAMADA N. 2004. Descri\ue7\ue3o da larva e pupa de
Ceratotrichia Flint, 1992 (Trichoptera: Hydroptilidae) e novos
registros de g\ueaneros para o Brasil. Entomotropica 19(1):31-37.
Larva e pupa de Ceratotrichia sp. \ue9 descrita e ilustrada pela
primeira vez. Tamb\ue9m, \ue9 a primeira vez que esse g\ueanero
\ue9 registrado no Brasil; os exemplares foram coletados em cursos d'
\ue1gua no munic\uedpio de Presidente Figueiredo, Amazonas, Brasil.
Associa\ue7\ue3o de imaturos com adultos foi realizada pelo
m\ue9todo de metamorfotipo e, a identifica\ue7\ue3o ocorreu por
meio da compara\ue7\ue3o de adultos farados com a
descri\ue7\ue3o original do g\ueanero. Larvas apresentam
caracter\uedsticas morfol\uf3gicas t\uedpicas da tribo
Leucotrichiini. Outros novos registros para o Brasil incluem os
g\ueaneros Alisotrichia Flint e Zumatrichia Mosely, e para
Amaz\uf4nia brasileira, Anchitrichia Flint
A new genus of long-horned caddisfly from the Amazon basin (Trichoptera: Leptoceridae: Grumichellini)
Amazonatolica hamadae, new genus, new species (Leptoceridae: Grumichellini), is described from the Amazon basin of Brazil. The adult male and female, larva, pupa and case are described and illustrated. The biology and habitat of the new species is unusual for members of its tribe in that it occurs attached to vegetation in acidic, lowland streams
Are Synoestropsis sp. larvae (Trichoptera: Hydropsychidae) predators?
Morphological characteristics of the Synoestropsis sp. larvae (Trichoptera: Hydropsychidae) suggests that this species is a predator. We examined the stomach contents of 48 Synoestropsis sp. larvae collected in four savannah rivers (Arraia, CauamĂ©, Cotingo and Ereu) in the state of Roraima during the dry season to evaluate their feeding habits. The high frequency of animal items in the stomach content confirmed the hypothesis that this specie is a predator.CaracterĂsticas morfolĂłgicas sugerem que larvas de Synoestropsis sp. (TrichopteraHydropsychidae) sĂŁo predadoras. Examinamos o conteĂșdo estomacal de 48 larvas de Synoestropsis sp. coletadas na Ă©poca de estiagem de quatro rios de cerrado (Arraia, CauamĂ©, Cotingo e Ereu) do estado de Roraima para avaliar o hĂĄbito alimentar de larvas desse gĂȘnero. A alta freqĂŒĂȘncia de itens animais no conteĂșdo estomacal das larvas corrobora a hipĂłtese de que esta espĂ©cie Ă© predadora
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,5â7 vast areas of the tropics remain understudied.8â11 In
the American tropics, Amazonia stands out as the worldâs 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.13â15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazonâs 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 regionâs vulnerability to environmental change. 15%â18% 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%â18% 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%â18% 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