34 research outputs found
Bryophytes from restinga in Setiba State Park, EspĂrito Santo State, Brazil
A total of 34 bryophyte species were identified (25 hepatics, 9 mosses) from restinga at Setiba State Park, Guarapari Municipality, EspĂrito Santo State, Brazil. Several species reported previously from restinga appear to be erroneous records, based on misidentification
Bryophytes of Rio Branco Municipality, Acre, Brazil
A survey of the bryophyte flora of Rio Branco Municipality, State of Acre, Brazil, has revealed a total of 76 species of bryophyte; 66 are new records for the State of Acre and two hepaticas, Cololejeunea dzumacensis P. Tix. and Lejeunea bermudiana (Evs.) Schust., are new records for Brazil. The Anthocerotae are represented only by Notothylas vitalii Udar & Singh
Bryophytes on fungi
Sixty one species of bryophytes (26 mosses, 35 liverworts) have been found growing on fungi basidiomata in Brazil
Bryophytes from Pocone county, Pantanal of Mato Grosso, Brazil
Sofrendo influĂŞncias de outros ecossistemas, tais como o Cerrado e a Floresta AmazĂ´nica, o Pantanal de Mato Grosso constitui um ecossistema Ăşnico. Embora sua flora fanerogâmica seja relativamente bem conhecida, a brioflora ainda necessita ser estudada mais profundamente. Fazendo parte da bacia do bio Paraguai e localizado a 94,8km de Cuiabá nas coordenadas 16Âş15'24"S e 56Âş36'24"W, o MunicĂpio de PoconĂ© possui uma população de cerca de 30.000 habitantes. Foram realizadas coletas briolĂłgicas nos anos de 1984, 1999 e 2000, tendo sido encontradas 12 espĂ©cies pertencentes a 12 famĂlias de Bryophyta e 10 espĂ©cies distribuĂdas em duas famĂlias de Marchantiophyta, sendo Lejeuneaceae a melhor representada, com oito espĂ©cies. Foram encontradas cinco novas ocorrĂŞncias para o regiĂŁo Centro-Oeste: Trichosteleum fluviale (Mitt.) Jaeg., Frullania tetraptera Nees & Mont., Lejeunea glauscescens Gottsche, Lejeunea calcicola Schuster, Lejeunea caespitosa Lindenb. SĂŁo ainda citadas nove novas ocorrĂŞncias para o Estado do Mato Grosso: Hyophila involuta (Hook.) A. Jaeg., Groutiella apiculata (Hook.) Crum & Steere, Fabronia macroblepharis Schwaegr., Trichosteleum fluviale (Mitt.) Jaeg., Frullania arecae (Spreng.) Gottsche, Frullania tetraptera Nees & Mont., Lejeunea glauscencens Gottshe, Lejeunea calcicola Schuster e Lejeunea caespitosa Lindenb. Lejeunea calcicola Schuster Ă© citada pela segunda vez para o Brasil.Under the influence of outer ecosystems, such as the Cerrado and Amazon rain forest, the Pantanal of Mato Grosso is a unique ecosystem. Otherwise his fanerogamic flora is well known, the bryoflora is yet to be properly discovered. As part of Paraguai river basin and located at 94.8km from Cuiabá at 16Âş15'24"S and 56Âş36'24"W, the county of PoconĂ© has a population around 30,000 hab. Colects were taken in 1984, 1999 and 2000. Among the Division Bryophyte 12 species in 12 familie were founs. In the Division Marchantiophyta 10 species in two families were found. The better represented family was Lejeuneaceae, with eight species. Five new occurrences to the Centro-Oeste region were found: Trichosteleum fluviale (Mitt.) Jaeg., Frullania arecae (Spreng.) Gottsche, Frullania tetraptera Nees & Mont., Lejeunea glaucescens Gottsche, Lejeunea calcicola Schuster, Lejeunea caespitosa Lindenb. and nine new occurrences to Mato Grosso State were found: Hyophila involuta (Hook.) A. Jaeg., Groutiella apiculata (Hook.) Crum & Steere, Fabronia macroblepharis Schwaegr., Trichosteleum fluviale (Mitt.) Jaeg., Frullania tetraptera Nees & Mont., Lejeunea glaucescens Gottshe, Lejeunea calcicola Schuster and Lejeunea caespitosa Lindenb. Lejeunea calcicola Schuster is mentioned for the second time to Brazil
BriĂłfitos de Cáceres, Pantanal de Matogrosso, Brasil, con nuevos registros para el estado y el paĂs
The Pantanal Ecosystem is still poorly known in its bryoflora, with almost no literature and very few collections. This paper represents a contribution to better understand the bryophyte diversity in the brazilian Pantanal. With a population around 85,857 and 27,462.38 Km2 and located at 16Âş11’42" S and 57Âş40’51" W, the Cáceres county is totally inserted in the Pantanal ecosystem. Its bryoflora has never been studied before. Here are presented 5 liverworts and 21 mosses, of which Barbula indica (Hook.) Spreng., Calymperes palisoti Schwägr., Fabronia ciliaris var polycarpa (Hook) W.R.Buck, Taxiphyllum taxirameum (Mitt.) M. Fleisch. are cited for the first time for Mato Grosso. Fissidens dissitifolius Sull. is cited for the first time to Brazil and Tortella lilliputana (MĂĽll. Hal. ex G. Roth) R.H. Zander, is cited for the second time to Brazil. The data suggest how poorly known the area still remains and more studies are in need for the Pantanal and Mato Grosso state.O ecossistema Pantanal ainda permanece pouco conhecido do ponto de vista briolĂłgico, com poucas coleções e quase nenhuma literatura. Neste contexto, este trabalho apresenta uma inĂ©dita contribuição para o conhecimento da diversidade briolĂłgica Pantaneira. Com uma população de 85.857 habitantes em 27.462,38 quilĂ´metros quadrados, entre as coordenadas 16Âş11’42" S e 57Âş40’51" W, o municĂpo de Cáceres, está totalmente inserido no ecossistema Pantanal. Sua brioflora nunca foi estudada anteriormente. Neste trabalho apresentamos a ocorrĂŞncia de 5 hepáticas e 21 musgos, entre os quais: Barbula indica (Hook.) Spreng., Calymperes palisoti Schwägr., Fabronia ciliaris var polycarpa (Hook) W.R.Buck, Taxiphyllum taxirameum (Mitt.) M. Fleisch. e Tortella lilliputana (MĂĽll. Hal. ex G. Roth) R.H. Zander, sĂŁo citadas pela primeira vez para o estado do Mato Grosso. Fissidens dissitifolius Sull. está sendo citado pela primeira vez para o Brasil e Tortella lilliputana (MĂĽll. Hal. ex G. Roth) R.H. Zander Ă© citada pela segunda vez. Os dados sugerem o quĂŁo pouco conhecida Ă© a brioflora do ecossistema Pantanal e do Estado do Mato Grosso, sendo necessárias mais coletas e estudos na regiĂŁo
Leishmania, Babesia and Ehrlichia in urban pet dogs: co-infection or cross-reaction in serological methods?
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