503 research outputs found

    Taxonomia e distribuição geográfica de Notonectidae (Hemiptera: Nepomorpha) nos estados do Amazonas, Pará, Rondônia e Roraima, Brasil

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    Until this study, 24 species of Notonectidae, from the genera Martarega White, 1879, Notonecta Linnaeus, 1758 and Buenoa Kirkaldy, 1904 had records restricted mainly to the states of Amazonas and Pará in political Northern Brazil. The area of this study comprised 44 municipalities in the states of Roraima, Amazonas, Pará and Rondônia. This work raised to 33 the number of known species in the region: 21 known species were found, 7 species recorded through literature, 3 new species of Martarega and 2 of Buenoa have been described. Martarega brasiliensis Truxal, 1949 and B. salutis Kirkaldy, 1904 constitutes the first records in the State of Roraima. Buenoa platycnemis (Fieber), 1851, B. femoralis (Fieber), 1851 and B. unguis Truxal, 1953 constitutes new records in the state of Amazonas. Martarega uruguayensis (Berg), 1883, N. disturbata Hungerford, 1926, B. tibialis Truxal, 1957, B. amnigenoidea Nieser, 1970 and B. truxali Nieser, 1968 constitutes new records in the State of Pará, and B. macrotrichia Truxal, 1953 constitutes the first record in Brazil in this state. Martarega uruguayensis and M. gonostyla Truxal, 1949 are new records in the State of Rondônia, and B. truxali constitutes the first record of Buenoa in this state. Keys are provided for identification of species that occur in the region, coupled with elucidating illustrations. The distribution of species was revised due to numerous political changes and errors related to label information.Até o presente estudo, 24 espécies de Notonectidae dos gêneros Martarega White, 1879, Notonecta Linnaeus, 1758 e Buenoa Kirkaldy, 1904 apresentavam registros restritos principalmente aos estados do Amazonas e Pará na região política do Norte do Brasil. A área deste estudo compreendeu 44 municípios dos estados de Roraima, Amazonas, Pará e Rondônia. O presente trabalho elevou a 33 o número de espécies conhecidas na região: 21 espécies conhecidas foram encontradas, 7 espécies registradas através de levantamento bibliográfico, 3 espécies novas de Martarega e 2 de Buenoa foram descritas. Martarega brasiliensis Truxal, 1949 e B. salutis Kirkaldy, 1904 constituem os primeiros registros da família no Estado de Roraima. Buenoa platycnemis (Fieber), 1851, B. femoralis (Fieber), 1851 e B. unguis Truxal, 1953 constituem novos registros no Estado do Amazonas. Martarega. uruguayensis (Berg), 1883, N. disturbata Hungerford, 1926, B. tibialis Truxal, 1957, B. amnigenoidea Nieser, 1970 e B. truxali Nieser, 1968 constituem novos registros no Estado do Pará, sendo B. macrotrichia Truxal, 1953 registrado pela primeira vez no Brasil neste Estado. Martarega. uruguayensis e M. gonostyla Truxal, 1949 constituem novos registros no Estado de Rondônia, sendo B. truxali o primeiro registro de Buenoa no Estado. São fornecidas chaves para identificação das espécies que ocorrem na região, aliadas a ilustrações elucidativas. A distribuição das espécies foi revista devido a inúmeras alterações políticas e erros relacionados às informações de etiquetas

    Aquatic and semiaquatic bugs (Insecta, Hemiptera, Heteroptera) from Toluviejo Municipality, Sucre Department, Caribbean region of Colombia

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    We present the results of a survey of the aquatic and semiaquatic bugs (Insecta, Hemiptera, Heteroptera) from the small streams Pechilín, Bobo, Camarón, and Macaján, located in Toluviejo Municipality, Sucre Department, Caribbean region of Colombia. Representatives of 8 families, 20 genera, and 32 species have been collected, of which 11 species are recorded for the first time from Sucre Department, 8 from the Colombian Caribbean region, and 4 from Colombia

    Pervasive gaps in Amazonian ecological research

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    Pervasive gaps in Amazonian ecological research

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    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

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    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

    Boliviela inflata DeLong 1969

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    Boliviela inflata DeLong, 1969 (Figs 18, 19) Known distribution. Bolivia: La Paz department; Ecuador: Napo province; and Peru: Madre de Dios department (Estacion biologica Los Amigos, CICRA) (DeLong 1969; Nielson 1982; Nielson & Weideman 2017). Material examined. 1m: Peru, Madre de Dios, Tambopata [New Record], Albergue, Refugio Amazonas, 17.iii.2016, leg. D. Couceiro, 12º52’30”S / 69º24’35”W, 241m // Wired Amazon Project, Pan Trap (MUSM).Published as part of Barbosa, Julianna Freires & Gonçalves, Clayton Corrêa, 2021, Coelidinae (Insecta: Hemiptera: Cicadellidae) from Tambopata, Madre de Dios Peru: checklist with new records and description of a new species of Walker, 1858, pp. 288-302 in Zootaxa 4964 (2) on page 291, DOI: 10.11646/zootaxa.4964.2.3, http://zenodo.org/record/470936

    Carinolidia nervosa

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    <p> <i>Carinolidia nervosa</i> <b>(Fabricius, 1803)</b></p> <p>(Figs 40, 41)</p> <p> <b>Known distribution.</b> Peru: San Martín department (Nielson 1979).</p> <p> <b>Material examined.</b> 1m Peru, Madre de Dios <b>[New Record]</b>, Tambopata, Albergue, Refugio Amazonas, 23.x.2016, leg. D. Couceiro, 12º52’30”S / 69º24’35”W, 231m // Wired Amazon Project, Pan Trap (MUSM); 1f: <i>ibidem</i>, except 27.x.2016 (MUSM); 1f: <i>ibidem</i>, except 13.xii.2016 (DZRJ-AUCH-201).</p>Published as part of <i>Barbosa, Julianna Freires & Gonçalves, Clayton CorrĂŞa, 2021, Coelidinae (Insecta: Hemiptera: Cicadellidae) from Tambopata, Madre de Dios Peru: checklist with new records and description of a new species of Walker, 1858, pp. 288-302 in Zootaxa 4964 (2)</i> on page 296, DOI: 10.11646/zootaxa.4964.2.3, <a href="http://zenodo.org/record/4709368">http://zenodo.org/record/4709368</a&gt

    Stalolidia paracingulata

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    Stalolidia paracingulata (Linnavuori, 1956) (Figs 60, 61) Known distribution. Peru: Huánuco and San Martín departments, and Rio Tapiche (Nielson 1979). Material examined. 1m: Peru, Madre de Dios [New Record], Tambopata, Albergue, Refugio Amazonas, 20.x.2016, leg. D. Couceiro, 12º52’30”S / 69º24’35”W, 231m // Wired Amazon Project, Pan Trap (MUSM); 1m: ibidem, except 30.x.2016 (MUSM); 1m: ibidem, except 01.xii.2016 (DZRJ-AUCH-226).Published as part of Barbosa, Julianna Freires & Gonçalves, Clayton Corrêa, 2021, Coelidinae (Insecta: Hemiptera: Cicadellidae) from Tambopata, Madre de Dios Peru: checklist with new records and description of a new species of Walker, 1858, pp. 288-302 in Zootaxa 4964 (2) on page 301, DOI: 10.11646/zootaxa.4964.2.3, http://zenodo.org/record/470936

    The genus Buenoa Kirkaldy, 1904 (Hemiptera: Heteroptera: Nepomorpha: Notonectidae) in northern Brazil: inventory, new records, and new species

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    Barbosa, Julianna Freires, Nessimian, Jorge Luiz (2013): The genus Buenoa Kirkaldy, 1904 (Hemiptera: Heteroptera: Nepomorpha: Notonectidae) in northern Brazil: inventory, new records, and new species. Zootaxa 3694 (2): 101-130, DOI: 10.11646/zootaxa.3694.2.
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