Six new species and new records of the genus Desmopachria Babington (Coleoptera: Dytiscidae: Hyphidrini) from Brazil and redescription of D. varians Wehncke, 1877

Six new species of the genus Desmopachria Babington, 1841 are described and illustrated from Brazil: D. anauine sp. nov., D. carranca sp. nov., D. francischettii sp. nov., D. nigrasphera sp. nov., D. nigricoxa sp. nov. and D. yanomami sp. nov. Desmopachria varians is redescribed and illustrated from syntypes photos and material identified by Dr. Frank Young. New records for eight other species from Brazilian states are presented here: D. amyae Miller, 2001 has a new record from Minas Gerais State, D. grammosticta Braga & Ferreira‑Jr., 2015 have new records from Minas Gerais and São Paulo States, D. granoides Young, 1986 has a new record from Espirito Santo State, D. laevis Sharp, 1882 have new records from Espírito Santo and Parana States, D. leptophallica Braga & Ferreira‑Jr., 2014 has a new record from Paraná State, D. sioli Young, 1980 has a new record from Minas Gerais State, D. striola Sharp, 1887 have new records from Rio de Janeiro and São Paulo States and D. volatidisca Miller, 2001 has a new record from Paraíba States and an unpublished record of D. challeti Miller, 2001 from Brazil.Six new species of Desmopachria are described and illustrated from Brazil: D. anauine sp. nov., D. carranca sp. nov., D. francischettii sp. nov., D.nigrasphera sp. nov., D. nigricoxa sp. nov. and D. yanomami sp. nov. Desmopachria varians is redescribed and illustrated from identified material by Dr. Frank Young. New records for eight other species from Brazilian states are presented here: D. amyae Miller, 2001, D. grammosticta Braga & Ferreira-Jr, 2015, D. granoides Young, 1986, D. laevis Sharp, 1882, D. leptophallica Braga & Ferreira-Jr, 2014, D. sioli Young, 1980, D. striola Sharp, 1887 and D. volatidisca Miller, 2001 and one inedited record of D. challeti Miller, 2001 from Brazil

Laccodytes costae sp. nov., and new records for the genus from Brazil (Coleoptera: Dytiscidae)

Laccodytes costae sp. nov., from Brazil, is described and illustrated; the new species is the third known member of the Laccodytes apalodes species-group. New records for Brazil: Laccodytes americanus Peschet, 1919, new for the country and Laccodytes rondonia Toledo, Spangler & Balke, 2010, new for the state of Pará. A modified version of the key from Toledo, Spangler & Balke (2010) is provided with new couplets to allow the identification of the new species as well as L. cobreinae Toledo, Megna & Alarie, 2011

Dytiscidae e Noteridae (Insecta, Coleoptera) Registrados no Estado do Rio de Janeiro, Brasil

A preliminary list of the species of Dytiscidae and Noteridae recorded from Rio de Janeiro State, southeastern Brazil, is presented. The list includes 37 species of Dytiscidae e seven of Noteridae, based on a survey of the literature and examination of insect collections. The available data on distribution of these families within the state (municipalities) are given. Anodocheillus villae, Bidessonotus tibialis, Desmopachria fossulata, Desmopachria margarita, Hydaticus palliatus, Hydaticus subfasciatus, and Hydrovatus caraibus, for Dytiscidae, Hydrocanthus paraguayensis, Hydrocanthus sharpi, Notomicrus gracilipes, and Suphis cimicoides, for Noteridae, are firstly recorded from Rio de Janeiro states, Brazil.Uma lista preliminar das espécies de Dytiscidae e Noteridae para o Estado do Rio de Janeiro, sudeste do Brasil, é apresentada. A lista inclui 37 espécies de Dytiscidae e sete de Noteridae e foi baseada no exame da literatura e de coleções entomológicas. São apresentadas as informações acerca da distribuição dessas famílias no estado.Anodocheillus villae, Bidessonotus tibialis, Desmopachria fossulata, Desmopachria margarita, Hydaticus palliatus, Hydaticus subfasciatus, Hydrovatus caraibus, para Dytiscidae, Hydrocanthus paraguayensis, Hydrocanthus sharpi, Notomicrus gracilipes e Suphis cimicoides, para Noteridae, são registrados pela primeira vez para o estado do Rio de Janeiro, Brasil

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

Laccodytes americanus Peschet 1919

Laccodytes americanus Peschet, 1919 Material examined: Brazil: Amazonas State, Barcelos Municipality, Aracá ridge, 1º order "Igarapé"; 00°52′34,21″N, 63°27′03,60″W; 04-05.Aug.2009.Ferreira-Jr N. leg. (2♂, 3♀, INPA); same collection data as for preceding (2♂, 3♀, DZRJ 8200). Distribution: This species was known from French Guiana, Guyana and Suriname.Published as part of Braga, Rafael Benzi, 2020, Laccodytes costae sp. nov., and new records for the genus from Brazil (Coleoptera: Dytiscidae), pp. 1-4 in Papéis Avulsos de Zoologia (Pap. Avulsos Zool., S. Paulo) (Pap. Avulsos Zool., S. Paulo) 60 (17) on page 3, DOI: 10.11606/1807-0205/2020.60.special-issue.17, http://zenodo.org/record/461518

Desmopachria striola Sharp 1887

Desmopachria striola Sharp 1887 Rio de Janeiro State: Macaé Municipality, Rio Macaé, 28.vii.2004, Ferreira-Jr., N. (2 exs. DZRJ 2692); Magé Municipality, Citrolândia, [22°06’01”S, 43°01’23”W], 13.x.1994, Ferreira-Jr., N. (1 ex. DZRJ 2694). Maricá Municipality, Restinga de Maricá, 22°55’09”S, 42°49’06”W. 13.iii.1987, Ferreira-Jr., N. (10 exs. DZRJ 116). São Paulo State: Ubatuba Municipality, Parque Estadual da Serra do Mar, Núcleo Picinguaba, 23°21’34”S, 44°50’31”W. 07.vi.2008, Ferreira-Jr., N.; 30.vi.2006, Braga, R.B. (30 exs. DZRJ 5979); 03.vi.2011, Ferreira-Jr., N. & Moraes, C. (2 exs. DZRJ 5978).Published as part of Braga, Rafael Benzi, 2018, Six new species and new records of the genus Desmopachria Babington (Coleoptera: Dytiscidae: Hyphidrini) from Brazil and redescription of D. varians Wehncke, 1877, pp. 1-15 in Papéis Avulsos de Zoologia 58 on page 15, DOI: 10.11606/1807-0205/2018.58.41, http://zenodo.org/record/523545