INTOXICAÇÕES EXÓGENAS POR AGROTÓXICOS NO OESTE DO PARANÁ, BRASIL / EXOGENOUS INTOXICATIONS BY PESTICIDES IN THE WEST OF PARANÁ, BRAZIL

O Brasil lidera o ranking mundial de uso de agrotóxicos, consumindo cerca de um bilhão de litros por ano. Como uma das graves consequências do uso indiscriminado, ocorrem relevantes casos de intoxicações por esses contaminantes. Assim, pretendeu-se inventariar os grupos de agrotóxicos mais utilizados na agricultura da região Oeste do Paraná e analisar o número de intoxicações das populações humanas. Os dados foram obtidos por meio de bases de dados dos Sistemas de Informação de Agravos de Notificação, de Controle do Comércio e Uso de Agrotóxicos do Estado do Paraná e da Vigilância da Qualidade da Água para Consumo Humano, no período de 2018 a 2019.  Forte relação entre maior uso do solo agrícola com o número de casos de intoxicações foram registrados, sendo as principais causas ocorridas de forma acidental. Os agrotóxicos pesquisados corresponderam, principalmente, a herbicidas agrícolas, relacionados às extensas áreas agricultáveis na região. Os resultados apresentados abordam a problemática do uso intensivo de agrotóxicos e podem auxiliar em projetos de prevenção contra os casos de intoxicações na região, bem como em políticas de proteção aos recursos hídricos e segurança alimentar

MAMÍFEROS DO PARQUE NACIONAL DO IGUAÇU

O estabelecimento de áreas protegidas tem sido uma das ferramentas mais efetivas na conservação da biodiversidade em todo mundo. No Brasil, os primeiros parques nacionais foram estabelecidos na década de 1930, dos quais o Parque Nacional do Iguaçu (PARNA Iguaçu) foi o segundo a ser criado, em 1939, tendo como propósito proteger as mundialmente famosas Cataratas do Iguaçu e a até então primitiva floresta subtropical do oeste paranaense. Contudo, apesar da longa data desde sua criação, este parque apresenta uma série de lacunas de informações sobre sua biodiversidade, fator que compromete não só o conhecimento científico sobre esse importante remanescente de Mata Atlântica, mas igualmente o manejo da área. Nesse trabalho são apresentados resultados de um intenso esforço em campo com amostragem de mamíferos (mais de 15 mil armadilhas fotográficas-dia para médios e grandes mamíferos, e quase 8 mil armadilhas-noite para pequenos), registro de mamíferos atropelados em rodovias dentro e às margens do PARNA Iguaçu,  além de revisão bibliográfica sobre a mastofauna do PARNA Iguaçu, com o objetivo de reunir e sintetizar o conhecimento sobre esse grupo. Foram registradas 84 espécies de mamíferos silvestres (incluindo três exóticas) para o PARNA Iguaçu, e mais 18 espécies com distribuição potencial nessa área. Estes resultados colocam o PARNA Iguaçu como uma das áreas protegidas mais ricas em espécies de mamíferos da Mata Atlântica, devendo assim ser considerado como uma área prioritária para a conservação do grupo. O isolamento e a caça ilegal são provavelmente as principais ameaças à persistência de muitas espécies, havendo a necessidade de aumento de medidas de proteção e manejo. Ampliar a pesquisa científica no PARNA Iguaçu também é uma medida necessária para melhor conhecer e proteger o último grande remanescente de Mata Atlântica no interior do Brasil.MAMMALS OF IGUAÇU NATIONAL PARK The creation of protected areas has proven to be one of the most effective tools for the conservation of biodiversity worldwide. In Brazil, the first national parks were established in the 1930s, of which Iguaçu National Park (PARNA Iguaçu) was the second to be created, in 1939, to protect the world-famous Iguaçu Falls and the pristine subtropical forest of the western portion of Paraná State. However, despite the time since its creation, there are still considerable gaps in the knowledge on its biodiversity, affecting not only scientific information about this important remnant of Atlantic forest, but also management of the area. We present herein the results of an intensive field effort to sample mammals in this site (more than 15 thousand camera-trap-days for large and medium sized species, and nearly 8 thousand trap-nights for small sized ones), roadkilled mammals at the PARNA Iguaçu interior and vicinity, besides a bibliographical review on the mammalian species recorded in the PARNA Iguaçu, aiming to gather and synthesize the knowledge about this group. Eighty-four species were recorded for PARNA Iguaçu (including three exotic species), and another 18 species may occur. These results place PARNA Iguaçu as one of the richest areas in mammals in the Atlantic Forest and, thus, should be considered as a priority area for mammal conservation. Isolation and poaching are the main threats to many of the species, requiring urgent increase in the measures of the protection and management. Expanding scientific research in the PARNA Iguaçu is a crucial measure to better understand and protect the last large remnant of Atlantic forest in the interior of Brazil

ATLANTIC ‐ PRIMATES : a dataset of communities and occurrences of primates in the Atlantic Forests of South America

Primates play an important role in ecosystem functioning and offer critical insights into human evolution, biology, behavior, and emerging infectious diseases. There are 26 primate species in the Atlantic Forests of South America, 19 of them endemic. We compiled a dataset of 5,472 georeferenced locations of 26 native and 1 introduced primate species, as hybrids in the genera Callithrix and Alouatta. The dataset includes 700 primate communities, 8,121 single species occurrences and 714 estimates of primate population sizes, covering most natural forest types of the tropical and subtropical Atlantic Forest of Brazil, Paraguay and Argentina and some other biomes. On average, primate communities of the Atlantic Forest harbor 2 ± 1 species (range = 1–6). However, about 40% of primate communities contain only one species. Alouatta guariba (N = 2,188 records) and Sapajus nigritus (N = 1,127) were the species with the most records. Callicebus barbarabrownae (N = 35), Leontopithecus caissara (N = 38), and Sapajus libidinosus (N = 41) were the species with the least records. Recorded primate densities varied from 0.004 individuals/km2 (Alouatta guariba at Fragmento do Bugre, Paraná, Brazil) to 400 individuals/km2 (Alouatta caraya in Santiago, Rio Grande do Sul, Brazil). Our dataset reflects disparity between the numerous primate census conducted in the Atlantic Forest, in contrast to the scarcity of estimates of population sizes and densities. With these data, researchers can develop different macroecological and regional level studies, focusing on communities, populations, species co‐occurrence and distribution patterns. Moreover, the data can also be used to assess the consequences of fragmentation, defaunation, and disease outbreaks on different ecological processes, such as trophic cascades, species invasion or extinction, and community dynamics. There are no copyright restrictions. Please cite this Data Paper when the data are used in publications. We also request that researchers and teachers inform us of how they are using the data.Fil: Culot, Laurence. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Pereira, Lucas Augusto. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Agostini, Ilaria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Universidad Nacional de Misiones. Instituto de Biología Subtropical; Argentina. Centro de Investigaciones del Bosque Atlántico; ArgentinaFil: de Almeida, Marco Antônio Barreto. Pontificia Universidade Católica do Rio Grande do Sul; BrasilFil: Alves, Rafael Souza Cruz. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Baldovino, María Celia. Centro de Investigaciones del Bosque Atlántico; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Instituto Miguel Lillo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; ArgentinaFil: Di Bitetti, Mario Santiago. Centro de Investigaciones del Bosque Atlántico; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú | Universidad Nacional de Misiones. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú; ArgentinaFil: Oklander, Luciana Inés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú | Universidad Nacional de Misiones. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú; ArgentinaFil: Holzmann, Ingrid. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Bio y Geociencias del NOA. Universidad Nacional de Salta. Facultad de Ciencias Naturales. Museo de Ciencias Naturales. Instituto de Bio y Geociencias del NOA; ArgentinaFil: Dums, Marcos. RUMO S.A. Licenciamento Ambiental; BrasilFil: Lombardi, Pryscilla Moura. RUMO S.A. Licenciamento Ambiental; BrasilFil: Bonikowski, Renata Twardowsky Ramalho. RUMO S.A. Licenciamento Ambiental; BrasilFil: Age, Stéfani Gabrieli. RUMO S.A. Licenciamento Ambiental; BrasilFil: Souza Alves, João Pedro. Universidade Federal de Pernambuco; BrasilFil: Chagas, Renata. Universidade Federal da Paraíba; BrasilFil: da Cunha, Rogério Grassetto Teixeira. Universidade Federal de Alfenas; BrasilFil: Valença Montenegro, Monica Mafra. Centro Nacional de Pesquisa e Conservaçao de Primates Brasileiros; BrasilFil: Ludwig, Gabriela. Centro Nacional de Pesquisa e Conservaçao de Primates Brasileiros; BrasilFil: Jerusalinsky, Leandro. Centro Nacional de Pesquisa e Conservaçao de Primates Brasileiros; BrasilFil: Buss, Gerson. Centro Nacional de Pesquisa e Conservaçao de Primates Brasileiros; BrasilFil: de Azevedo, Renata Bocorny. Centro Nacional de Pesquisa e Conservaçao de Primates Brasileiros; BrasilFil: Filho, Roberio Freire. Universidade Federal de Pernambuco; BrasilFil: Bufalo, Felipe. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Milhe, Louis. Université D'Avignon et des Pays du Vaucluse; FranciaFil: Santos, Mayara Mulato dos. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Sepulvida, Raíssa. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Ferraz, Daniel da Silva. Universidade do Estado de Minas Gerais; BrasilFil: Faria, Michel Barros. Universidade do Estado de Minas Gerais; BrasilFil: Ribeiro, Milton Cezar. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Galetti, Mauro. Universidade Estadual Paulista Julio de Mesquita Filho; Brasi

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

ATLANTIC-CAMTRAPS: a dataset of medium and large terrestrial mammal communities in the Atlantic Forest of South America

Our understanding of mammal ecology has always been hindered by the difficulties of observing species in closed tropical forests. Camera trapping has become a major advance for monitoring terrestrial mammals in biodiversity rich ecosystems. Here we compiled one of the largest datasets of inventories of terrestrial mammal communities for the Neotropical region based on camera trapping studies. The dataset comprises 170 surveys of medium to large terrestrial mammals using camera traps conducted in 144 areas by 74 studies, covering six vegetation types of tropical and subtropical Atlantic Forest of South America (Brazil and Argentina), and present data on species composition and richness. The complete dataset comprises 53,438 independent records of 83 species of mammals, includes 10 species of marsupials, 15 rodents, 20 carnivores, eight ungulates and six armadillos. Species richness averaged 13 species (±6.07 SD) per site. Only six species occurred in more than 50% of the sites: the domestic dog Canis familiaris, crab-eating fox Cerdocyon thous, tayra Eira barbara, south American coati Nasua nasua, crab-eating raccoon Procyon cancrivorus and the nine-banded armadillo Dasypus novemcinctus. The information contained in this dataset can be used to understand macroecological patterns of biodiversity, community, and population structure, but also to evaluate the ecological consequences of fragmentation, defaunation, and trophic interactions. © 2017 by the Ecological Society of Americ

ATLANTIC-PRIMATES: a dataset of communities and occurrences of primates in the Atlantic Forests of South America

Primates play an important role in ecosystem functioning and offer critical insights into human evolution, biology, behavior, and emerging infectious diseases. There are 26 primate species in the Atlantic Forests of South America, 19 of them endemic. We compiled a dataset of 5,472 georeferenced locations of 26 native and 1 introduced primate species, as hybrids in the genera Callithrix and Alouatta. The dataset includes 700 primate communities, 8,121 single species occurrences and 714 estimates of primate population sizes, covering most natural forest types of the tropical and subtropical Atlantic Forest of Brazil, Paraguay and Argentina and some other biomes. On average, primate communities of the Atlantic Forest harbor 2 ± 1 species (range = 1–6). However, about 40% of primate communities contain only one species. Alouatta guariba (N = 2,188 records) and Sapajus nigritus (N = 1,127) were the species with the most records. Callicebus barbarabrownae (N = 35), Leontopithecus caissara (N = 38), and Sapajus libidinosus (N = 41) were the species with the least records. Recorded primate densities varied from 0.004 individuals/km 2 (Alouatta guariba at Fragmento do Bugre, Paraná, Brazil) to 400 individuals/km 2 (Alouatta caraya in Santiago, Rio Grande do Sul, Brazil). Our dataset reflects disparity between the numerous primate census conducted in the Atlantic Forest, in contrast to the scarcity of estimates of population sizes and densities. With these data, researchers can develop different macroecological and regional level studies, focusing on communities, populations, species co-occurrence and distribution patterns. Moreover, the data can also be used to assess the consequences of fragmentation, defaunation, and disease outbreaks on different ecological processes, such as trophic cascades, species invasion or extinction, and community dynamics. There are no copyright restrictions. Please cite this Data Paper when the data are used in publications. We also request that researchers and teachers inform us of how they are using the data. © 2018 by the The Authors. Ecology © 2018 The Ecological Society of Americ

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