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Teixeira CDC, Trevelin LC, dos Santos-Costa MC, Prudente A, Silva DP. Synergistic effects of climate and landscape change on the conservation of Amazonian lizards. PeerJ 2022; 10:e13028. [PMID: 35368330 PMCID: PMC8973465 DOI: 10.7717/peerj.13028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 02/08/2022] [Indexed: 01/11/2023] Open
Abstract
The leading causes of the worldwide decline in biodiversity are global warming, allied with natural habitat loss and fragmentation. Here, we propose an analysis of the synergistic effects of these two factors in 63 species of Amazonian lizards. We predicted that the high-climatic suitability areas of species would be significantly impacted by different deforestation scenarios and the resultant landscape structure and considered that forest-dwelling species would be especially susceptible to deforestation scenarios. We also pointed out species threatened by both drivers and suggested critical areas for their future conservation. According to our results, most species will face future reductions in suitable areas for their occurrence according to five different patterns, two of which represent significant risks for 15 species. Some of these species already deal with severe habitat loss and fragmentation of their current distribution ranges, whereas others will suffer a considerable area reduction related to future range shifts. We emphasize the importance of protected areas (PAs), especially indigenous lands, and the need to plan combined strategies involving PAs' maintenance and possible implementation of ecological corridors. Finally, we highlight eight species of thermoconformer lizards that constitute present and future conservation concerns related to the combined effects of climate change and habitat loss and that should be carefully evaluated in extinction risk assessments.
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Affiliation(s)
| | - Leonardo Carreira Trevelin
- Programa de Pós Graduação em Biodiversidade e Evolução, Museu Paraense Emílio Goeldi, Belém, Pará, Brazil,Instituto Tecnológico Vale - Desenvolvimento Sustentável, Belém, Pará, Brazil
| | - Maria Cristina dos Santos-Costa
- Laboratório de Ecologia e Zoologia de Vertebrados, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém, Pará, Brazil
| | - Ana Prudente
- Programa de Pós Graduação em Biodiversidade e Evolução, Museu Paraense Emílio Goeldi, Belém, Pará, Brazil
| | - Daniel Paiva Silva
- COBIMA Lab, Departamento de Biologia, Instituto Federal Goiano - Campus Urutaí, Urutaí, Goiás, Brazil
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Santos AMD, Silva CFAD, Almeida Junior PMD, Rudke AP, Melo SND. Deforestation drivers in the Brazilian Amazon: assessing new spatial predictors. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021; 294:113020. [PMID: 34126530 DOI: 10.1016/j.jenvman.2021.113020] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 05/10/2021] [Accepted: 06/04/2021] [Indexed: 05/18/2023]
Abstract
Researches on the deforestation of the Amazon have gained prominence in the last recent years, mainly with the change in the policy regarding the facing of this phenomenon by the Brazilian government. Therefore, an understanding about the causes that pressure the occurrence of deforestation remains relevant and has a leading role in the world. Therefore, the aim of this study is to perform the analysis of the spatial variability of the reasons for the deforestation in the Amazon Biome, in Brazil, (2010-2019). To achieve this goal, 14 variables were selected, the choice and adjustment of the regression model were determined and a diagnosis was carried out in order to verify the most appropriate model. To achieve this purpose, a geographic database was structured in a geographic information system environment. The main results revealed that the adjusted R2 of the Geographically Weighted Regression (GWR) was 0.96, that is, the GWR model explains 96% of the variations in deforestation. Therefore, it was observed a significant gain when using this model. In addition, it was also observed that the average variable of the number of oxen was, among those analyzed, the one that showed the highest correlation with deforestation. Thus, it was found that the livestock sector in southern Amazonia is the main economic agent that pressures large areas of deforestation, since stockfarming is practiced extensively. Finally, it was concluded that the municipalities with the largest areas of deforestation formed a cluster in the southern portion of the Amazon, in the arc of deforestation.
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Affiliation(s)
- Alex Mota Dos Santos
- Center of Agroforestry Sciences and Technologies, Federal University of Southern Bahia, Rodovia Ilhéus/Itabuna, Km 22, Itabuna, 45604-811, Brazil.
| | - Carlos Fabricio Assunção da Silva
- Department of Cartographic and Survey Engineering, Center of Technologies and Geosciences, Federal University of Pernambuco, UFPE, Avenida Acadêmico Hélio Ramos, Cidade Universitária, s/n, Recife, 50740-530, Brazil.
| | - Pedro Monteiro de Almeida Junior
- Department of Statistics, Center of Nature and Exact Sciences, Federal University of Pernambuco, UFPE, Avenida Professor Moraes Rego, 1235, Cidade Universitária, 50670-901, Recife, Pernambuco, Brazil.
| | - Anderson Paulo Rudke
- Department of Sanitary and Environmental Engineering, Federal University of Minas Gerais, Av. Pres. Antônio Carlos, 6627, 31270-901, Belo Horizonte, Brazil; Federal University of Technology - Paraná, Av. Dos Pioneiros, 3131, 86036-370, Londrina, Brazil.
| | - Silas Nogueira de Melo
- Department of History and Geography, State University of Maranhão, Cidade Universitária Paulo VI, São Luís, 65055-000, Brazil.
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Faria AS, Menin M, Kaefer IL. Riparian zone as a main determinant of the structure of lizard assemblages in upland Amazonian forests. AUSTRAL ECOL 2019. [DOI: 10.1111/aec.12754] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Affiliation(s)
- Ayra Souza Faria
- Instituto Nacional de Pesquisas da Amazônia - Programa de Pós-graduação em Ecologia/INPA; V8, Av. André Araújo, 2936 Petrópolis Manaus Amazonas CEP: 69067-375 Brazil
| | - Marcelo Menin
- Departamento de Biologia; Universidade Federal do Amazonas - Senador Arthur Virgílio Filho - Setor Sul; Manaus Amazonas Brazil
| | - Igor Luis Kaefer
- Departamento de Biologia; Universidade Federal do Amazonas - Senador Arthur Virgílio Filho - Setor Sul; Manaus Amazonas Brazil
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Cuéllar-Rodríguez G, Jurado E, Flores J. Beetle diversity in fragmented thornscrub and isolated trees. BRAZ J BIOL 2016; 77:92-96. [PMID: 27382996 DOI: 10.1590/1519-6984.10615] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2015] [Accepted: 09/30/2015] [Indexed: 11/21/2022] Open
Abstract
Due to land use change mainly for induced agriculture, Tamaulipan thornscrubin northeast Mexico has been cleared and transformed into small patches of vegetation as small as isolated trees surrounded by agricultural fields. In this study, we explored how tree isolation or growing inside a fragment of remnant vegetation influence diversity of coleopterans in two plant species (Prosopis laevigata (Humb. &Bonpl.exWilld.) M.C. Johnst. (mesquite) and Ebenopsis ebano (Berl.) Barneby (Texas ebony). We found 72 coleopteran morphospecies; fifteen occurred mainly in remnant fragments and ten mainly in isolated trees. There were more insects under isolated mesquites than under those immersed in remnant fragments, while in Texas ebony the highest beetle density for isolated trees coincided with periods of bean and maize in surrounding agriculture.
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Affiliation(s)
- G Cuéllar-Rodríguez
- Facultad de Ciencias Forestales, Universidad Autónoma de Nuevo León, Linares, NL, México
| | - E Jurado
- Facultad de Ciencias Forestales, Universidad Autónoma de Nuevo León, Linares, NL, México
| | - J Flores
- División de Ciencias Ambientales, Instituto Potosino de Investigación Científica y Tecnológica, San Luis Potosí, SLP, México
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