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Hage RDS, Nunes E Silva SV, Bohm BC, Lima JV, Bruhn NCP, Menezes GR, Bruhn FRP. Spatiotemporal relationship between agriculture, livestock, deforestation, and visceral leishmaniasis in Brazilian legal Amazon. Sci Rep 2024; 14:21542. [PMID: 39278963 PMCID: PMC11402958 DOI: 10.1038/s41598-024-72719-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Accepted: 09/10/2024] [Indexed: 09/18/2024] Open
Abstract
Visceral leishmaniasis (VL) is an urgent public health concern in Brazil. We evaluated the spatiotemporal distribution of VL to better understand the effects of economic activities related to agriculture, livestock, and deforestation on its incidence in the Brazilian Legal Amazon (BLA). The data on newly confirmed cases of VL in Brazilian municipalities from 2007 to 2020 were extracted from the Brazilian Notifiable Diseases Information System (SINAN) and analyzed. The data on agricultural production (planted area in hectares) and livestock (total number of cattle) were obtained from the Brazilian Institute of Geography and Statistics (IBGE), whereas deforestation data (in hectares) were obtained from the Amazon Deforestation Estimation Project (PRODES). SatScan and the local indicators of spatial association (LISA) were used to identify the spatial and temporal patterns of VL and its relationships with economic and environmental variables. The cumulative incidence rate was found to be 4.5 cases per 100,000 inhabitants. Based on the LISA results, areas with a high incidence of VL and deforestation were identified in the states of Roraima, Pará, and Maranhão. Strengthening deforestation monitoring programs and environmental enforcement actions can help implement public policies to control illegal deforestation and mitigate the socio-environmental vulnerability in the BLA. Therefore, areas identified in this study should be prioritized for controlling VL.
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Affiliation(s)
- Ravena Dos Santos Hage
- Laboratory of Veterinary Epidemiology, Graduate Program in Veterinary Medicine, Federal University of Pelotas, University Campus, Building 42, Post Office Box 354, Capão do Leão, Rio Grande do Sul, CEP 96010-900, Brazil.
| | | | - Bianca Conrad Bohm
- Laboratory of Veterinary Epidemiology, Department of Preventive Veterinary Medicine, Federal University of Pelotas, Capão do Leão, Rio Grande do Sul, Brazil
| | - Jackeline Vieira Lima
- Laboratory of Veterinary Epidemiology, Graduate Program in Veterinary Medicine, Federal University of Pelotas, University Campus, Building 42, Post Office Box 354, Capão do Leão, Rio Grande do Sul, CEP 96010-900, Brazil
| | - Nádia Campos Pereira Bruhn
- Mercosur Mercosur Integration Center, Graduate Program in Territorial Development and Agroindustrial Systems, Federal University of Pelotas, Capão do Leão, Rio Grande do Sul, Brazil
| | - Gabrielito Rauter Menezes
- College of Agronomy Eliseu Maciel. Graduate Program in Territorial Development and Agroindustrial Systems, Federal University of Pelotas, Capão do Leão, Rio Grande do Sul, Brazil
| | - Fábio Raphael Pascoti Bruhn
- Laboratory of Veterinary Epidemiology, Department of Preventive Veterinary Medicine, Federal University of Pelotas, Capão do Leão, Rio Grande do Sul, Brazil
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Bogoni JA, Peres CA, Navarro AB, Carvalho-Rocha V, Galetti M. Using historical habitat loss to predict contemporary mammal extirpations in Neotropical forests. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2024; 38:e14245. [PMID: 38456548 DOI: 10.1111/cobi.14245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 12/22/2023] [Accepted: 12/29/2023] [Indexed: 03/09/2024]
Abstract
Understanding which species will be extirpated in the aftermath of large-scale human disturbance is critical to mitigating biodiversity loss, particularly in hyperdiverse tropical biomes. Deforestation is the strongest driver of contemporary local extinctions in tropical forests but may occur at different tempos. The 2 most extensive tropical forest biomes in South America-the Atlantic Forest and the Amazon-have experienced historically divergent pathways of habitat loss and biodiversity decay, providing a unique case study to investigate rates of local species persistence on a single continent. We quantified medium- to large-bodied mammal species persistence across these biomes to elucidate how landscape configuration affects their persistence and associated ecological functions. We collected occurrence data for 617 assemblages of medium- to large-bodied mammal species (>1 kg) in the Atlantic Forest and the Amazon. Analyzing natural habitat cover based on satellite data (1985-2022), we employed descriptive statistics and generalized linear models (GLMs) to investigate ecospecies occurrence patterns in relation to habitat cover across the landscapes. The subregional erosion of Amazonian mammal assemblage diversity since the 1970s mirrors that observed since the colonial conquest of the Atlantic Forest, given that 52.8% of all Amazonian mammals are now on a similar trajectory. Four out of 5 large mammals in the Atlantic Forest were prone to extirpation, whereas 53% of Amazonian mammals were vulnerable to extirpation. Greater natural habitat cover increased the persistence likelihood of ecospecies in both biomes. These trends reflected a median local species loss 63.9% higher in the Atlantic Forest than in the Amazon, which appears to be moving toward a turning point of forest habitat loss and degradation. The contrasting trajectories of species persistence in the Amazon and Atlantic Forest domains underscore the importance of considering historical habitat loss pathways and regional biodiversity erosion in conservation strategies. By focusing on landscape configuration and identifying essential ecological functions associated with large vertebrate species, conservation planning and management practices can be better informed.
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Affiliation(s)
- Juliano A Bogoni
- Departamento de Ecologia, Instituto de Biociências, Universidade Federal de Mato Grosso do Sul, Campo Grande, Brazil
- Programa de Pós-Graduação em Ciências Ambientais, Centro de Pesquisa de Limnologia, Biodiversidade e Etnobiologia do Pantanal-CELBE, Laboratório de Mastozoologia, Universidade do Estado de Mato Grosso, Cáceres, Brazil
| | - Carlos A Peres
- School of Environmental Sciences, University of East Anglia, Norwich, UK
- Instituto Juruá, Manaus, Brazil
| | - Ana B Navarro
- Museu de Zoologia da Universidade de São Paulo, São Paulo, Brazil
| | - Vitor Carvalho-Rocha
- Departamento de Botânica, Universidade Federal de Pernambuco, Recife, Brazil
- Departamento de Ecologia e Zoologia, Universidade Federal de Santa Catarina, Florianópolis, Brazil
| | - Mauro Galetti
- Department of Biodiversity, Center for Research in Biodiversity Dynamics and Climate Change, São Paulo State University (UNESP), Rio Claro, Brazil
- Kimberly Green Latin American and Caribbean Center, Florida International University (FIU), Miami, Florida, USA
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