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Rorato AC, Dal'Asta AP, Lana RM, Dos Santos RBN, Escada MIS, Vogt CM, Neves TC, Barbosa M, Andreazzi CS, Dos Reis IC, Fernandes DA, da Silva-Nunes M, de Souza AR, Monteiro AMV, Codeço CT. Trajetorias: a dataset of environmental, epidemiological, and economic indicators for the Brazilian Amazon. Sci Data 2023; 10:65. [PMID: 36732347 PMCID: PMC9895449 DOI: 10.1038/s41597-023-01962-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 01/11/2023] [Indexed: 02/04/2023] Open
Abstract
The Trajetorias dataset is a harmonized set of environmental, epidemiological, and poverty indicators for all municipalities of the Brazilian Legal Amazon (BLA). This dataset is the result of a scientific synthesis research initiative conducted by scientists from several natural and social sciences fields, consolidating multidisciplinary indicators into a coherent dataset for integrated and interdisciplinary studies of the Brazilian Amazon. The dataset allows the investigation of the association between the Amazonian agrarian systems and their impacts on environmental and epidemiological changes, furthermore enhancing the possibilities for understanding, in a more integrated and consistent way, the scenarios that affect the Amazonian biome and its inhabitants.
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Affiliation(s)
- Ana C Rorato
- Laboratório de Investigação em Sistemas Socioambientais, Instituto Nacional de Pesquisas Espaciais, São José dos Campos, 12227-900, Brazil.
| | - Ana Paula Dal'Asta
- Laboratório de Investigação em Sistemas Socioambientais, Instituto Nacional de Pesquisas Espaciais, São José dos Campos, 12227-900, Brazil
| | | | | | - Maria Isabel S Escada
- Laboratório de Investigação em Sistemas Socioambientais, Instituto Nacional de Pesquisas Espaciais, São José dos Campos, 12227-900, Brazil
| | - Camila M Vogt
- Departamento de Ciências Administrativas, Universidade Federal de Santa Maria, Santa Maria, Brazil
| | - Tatiana Campos Neves
- Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, 21040-900, Brazil
| | - Milton Barbosa
- Laboratório de Ecologia Evolutiva e Biodiversidade, Universidade Federal de Minas Gerais, Belo Horizonte, 31270-901, Brazil
| | - Cecilia S Andreazzi
- Laboratório de Biologia e Parasitologia de Mamíferos Silvestres Reservatórios, Fundação Oswaldo Cruz, Rio de Janeiro, 21040-900, Brazil.,Departamento de Biodiversidad, Ecología y Evolución, Universidad Complutense de Madrid, Madrid, Spain
| | - Izabel C Dos Reis
- Laboratório de Imunologia Viral, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, 21040-900, Brazil
| | | | - Mônica da Silva-Nunes
- Departamento de Medicina, Centro de Ciências Biológicas e da Saúde, Universidade Federal de São Carlos, São Carlos, 13565-905, Brazil
| | - Anielli R de Souza
- Laboratório de Investigação em Sistemas Socioambientais, Instituto Nacional de Pesquisas Espaciais, São José dos Campos, 12227-900, Brazil
| | - Antonio M V Monteiro
- Laboratório de Investigação em Sistemas Socioambientais, Instituto Nacional de Pesquisas Espaciais, São José dos Campos, 12227-900, Brazil
| | - Claudia T Codeço
- Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, 21040-900, Brazil
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Codeço CT, Dal'Asta AP, Rorato AC, Lana RM, Neves TC, Andreazzi CS, Barbosa M, Escada MIS, Fernandes DA, Rodrigues DL, Reis IC, Silva-Nunes M, Gontijo AB, Coelho FC, Monteiro AMV. Epidemiology, Biodiversity, and Technological Trajectories in the Brazilian Amazon: From Malaria to COVID-19. Front Public Health 2021; 9:647754. [PMID: 34327184 PMCID: PMC8314010 DOI: 10.3389/fpubh.2021.647754] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Accepted: 06/14/2021] [Indexed: 11/13/2022] Open
Abstract
The Amazon biome is under severe threat due to increasing deforestation rates and loss of biodiversity and ecosystem services while sustaining a high burden of neglected tropical diseases. Approximately two thirds of this biome are located within Brazilian territory. There, socio-economic and environmental landscape transformations are linked to the regional agrarian economy dynamics, which has developed into six techno-productive trajectories (TTs). These TTs are the product of the historical interaction between Peasant and Farmer and Rancher practices, technologies and rationalities. This article investigates the distribution of the dominant Brazilian Amazon TTs and their association with environmental degradation and vulnerability to neglected tropical diseases. The goal is to provide a framework for the joint debate of the local economic, environmental and health dimensions. We calculated the dominant TT for each municipality in 2017. Peasant trajectories (TT1, TT2, and TT3) are dominant in ca. fifty percent of the Amazon territory, mostly concentrated in areas covered by continuous forest where malaria is an important morbidity and mortality cause. Cattle raising trajectories are associated with higher deforestation rates. Meanwhile, Farmer and Rancher economies are becoming dominant trajectories, comprising large scale cattle and grain production. These trajectories are associated with rapid biodiversity loss and a high prevalence of neglected tropical diseases, such as leishmaniasis, Aedes-borne diseases and Chagas disease. Overall, these results defy simplistic views that the dominant development trajectory for the Amazon will optimize economic, health and environmental indicators. This approach lays the groundwork for a more integrated narrative consistent with the economic history of the Brazilian Amazon.
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Affiliation(s)
- Claudia T. Codeço
- Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Ana P. Dal'Asta
- Laboratório de Investigação em Sistemas Socioambientais, Instituto Nacional de Pesquisas Espaciais, Sao Jose dos Campos, Brazil
| | - Ana C. Rorato
- Laboratório de Investigação em Sistemas Socioambientais, Instituto Nacional de Pesquisas Espaciais, Sao Jose dos Campos, Brazil
- Centro de Ciência do Sistema Terrestre, Instituto Nacional de Pesquisas Espaciais, Sao Jose dos Campos, Brazil
| | - Raquel M. Lana
- Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Tatiana C. Neves
- Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Cecilia S. Andreazzi
- Laboratório de Biologia e Parasitologia de Mamíferos Silvestres Reservatórios, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Milton Barbosa
- Ecologia Evolutiva e Biodiversidade, DGEE, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Maria I. S. Escada
- Laboratório de Investigação em Sistemas Socioambientais, Instituto Nacional de Pesquisas Espaciais, Sao Jose dos Campos, Brazil
| | - Danilo A. Fernandes
- Instituto de Ciências Sociais Aplicadas e Núcleo de Altos Estudos Amazônicos, Universidade Federal do Pará, Belem, Brazil
| | - Danuzia L. Rodrigues
- Instituto de Estudos em Desenvolvimento Agrário e Regional, Universidade Federal do Sul e Sudeste do Pará, Maraba, Brazil
| | - Izabel C. Reis
- Laboratório de Mosquitos Transmissores de Hematozoários, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | | | - Alexandre B. Gontijo
- Laboratório de Produtos Florestais, Serviço Florestal Brasileiro, Brasília, Brazil
| | - Flavio C. Coelho
- Escola de Matemática Aplicada, Fundação Getúlio Vargas, Rio de Janeiro, Brazil
| | - Antonio M. V. Monteiro
- Laboratório de Investigação em Sistemas Socioambientais, Instituto Nacional de Pesquisas Espaciais, Sao Jose dos Campos, Brazil
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Perez DM, Crisigiovanni EL, Pie MR, Rorato AC, Lopes SR, Araujo SBL. Ecology and signal structure drive the evolution of synchronous displays. Evolution 2019; 74:434-446. [PMID: 31503329 DOI: 10.1111/evo.13841] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 08/27/2019] [Accepted: 08/30/2019] [Indexed: 11/28/2022]
Abstract
Animal synchrony is found in phylogenetically distant animal groups, indicating behavioral adaptations to different selective pressures and in different signaling modalities. A notable example of synchronous display is found in fiddler crabs in that males wave their single enlarged claw during courtship. They present species-specific signals, which are composed of distinctive movement signatures. Given that synchronous waving has been reported for several fiddler crab species, the display pattern could influence the ability of a given species to sufficiently adjust wave timing to allow for synchrony. In this study, we quantified the wave displays of fiddler crabs to predict their synchronous behavior. We combined this information with the group's phylogenetic relationships to trace the evolution of display synchrony in an animal taxon. We found no phylogenetic signal in interspecific variation in predicted wave synchrony, which mirrors the general nonphylogenetic pattern of synchrony across animal taxa. Interestingly, our analyses show that the phenomenon of synchronization stems from the peculiarities of display pattern, mating systems, and the complexity of microhabitats. This is the first study to combine mathematical simulations and phylogenetic comparative methods to reveal how ecological factors and the mechanics of animal signals affect the evolution of the synchronous phenomena.
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Affiliation(s)
- Daniela M Perez
- Research School of Biology, The Australian National University, Canberra, ACT 0200, Australia
| | - Enzo L Crisigiovanni
- Programa de Pós-Graduação em Ecologia e Conservação, Universidade Federal do Paraná, Curitiba, PR, 81531-990, Brazil.,Departamento de Física, Universidade Federal do Paraná, Curitiba, PR, 81531, Brazil
| | - Marcio R Pie
- Departamento de Zoologia, Departamento de Zoologia, Universidade Federal do Paraná, Curitiba, PR, 81531, Brazil
| | - Ana C Rorato
- Earth System Science Center, National Institute for Space Research (INPE), São José dos Campos, SP, 12227, Brazil
| | - Sergio R Lopes
- Departamento de Física, Universidade Federal do Paraná, Curitiba, PR, 81531, Brazil
| | - Sabrina B L Araujo
- Departamento de Física, Universidade Federal do Paraná, Curitiba, PR, 81531, Brazil.,Laboratório de Ecologia e Evolução de Interações, Biological Interactions, Universidade Federal do Paraná, Curitiba, PR, 81531, Brazil
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Rorato AC, Araujo SB, Perez DM, Pie MR. Social cues affect synchronization of male waving displays in a fiddler crab (Crustacea: Ocypodidae). Anim Behav 2017. [DOI: 10.1016/j.anbehav.2017.02.014] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Abstract
Fiddler crabs (Uca spp., Decapoda: Ocypodidae) are commonly found forming large aggregations in intertidal zones, where they perform rhythmic waving displays with their greatly enlarged claws. While performing these displays, fiddler crabs often synchronize their behavior with neighboring males, forming the only known synchronized visual courtship displays involving reflected light and moving body parts. Despite being one of the most conspicuous aspects of fiddler crab behavior, little is known about the mechanisms underlying synchronization of male displays. In this study we develop a spatially explicit model of fiddler crab waving displays using coupled logistic map equations. We explored two alternative models in which males either direct their attention at random angles or preferentially toward neighbors. Our results indicate that synchronization is possible over a fairly large region of parameter space. Moreover, our model was capable of generating local synchronization neighborhoods, as commonly observed in fiddler crabs under natural conditions.
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Affiliation(s)
- Sabrina Borges Lino Araujo
- Programa de Pós-Graduação em Ecologia e Conservação, Universidade Federal do Paraná, Curitiba, Paraná, Brazil.
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