LOSSES ON THE ATLANTIC MATA VEGETATION INDUCED BY LAND USE CHANGES

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Elfany Reis do Nascimento Lopes
http://orcid.org/0000-0003-1269-3986
Jomil Costa Abreu Sales
http://orcid.org/0000-0001-8722-8398
Jocy Ana Paixão de Sousa
http://orcid.org/0000-0003-0937-786X
Amanda Trindade Amorim
http://orcid.org/0000-0002-7359-6859
José Luiz Albuquerque Filho
http://orcid.org/0000-0002-7760-9514
Roberto Wagner Lourenço
http://orcid.org/0000-0002-5234-8944

Abstract

Land use changes are related to urbanization, economics and technology, influencing the management of natural resources and the ecosystem processes. The present study evaluated the behavior of land use changes in the period of 2007 and 2016, and identified the influence of these changes on the Atlantic Forest vegetation and the expected consequences for a future scenario in the short (2020) and medium term (2025). The study was developed in the Una river basin, located in southeastern Brazil. Land use mapping was performed using Landsat 5 and Sentinel-2A satellite imagery, with visual interpretation techniques. The assessment of land use changes and ecological losses was modeled in the Land Change Modeler and the gains and losses for each category and their future scenarios were identified. The calculations of landscape metrics were performed with the V-LATE extension for ArcGIS. The Anthropogenic Exposure Indicator was applied to evaluate the exposure of fragments. The comparative between land uses showed an increase of 484.33 ha of anthropogenic areas and a decrease of 484.14 ha of vegetation. The greater conversion of forests to other uses was related to agriculture. The fragments are under intense edge effect and 13.70% are under high anthropogenic exposure. By 2016, a loss of 484 ha of Atlantic Forest was identified, being expected a loss of 694.11 ha by 2020 and of 934.10 ha by 2025.

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Author Biographies

Jomil Costa Abreu Sales, State University Sorocaba, Brazil

Sorocaba São Paulo State University (UNESP), Institute of Science and Technology, Sorocaba. Geoprocessing and Environmental Mathematical Modeling Laboratory. 711, Three March Avenue. ZIP Code 18087-180. Sorocaba, São Paulo, Brazil.

Technological Research Institute of São Paulo (IPT). 532, Prof. Almeida Prado. University City. ZIP Code 05508-901. São Paulo, São Paulo, Brazil.

Jocy Ana Paixão de Sousa, State University Sorocaba, Brazil

Sorocaba São Paulo State University (UNESP), Institute of Science and Technology, Sorocaba. Geoprocessing and Environmental Mathematical Modeling Laboratory.

711, Three March Avenue. ZIP Code 18087-180. Sorocaba, São Paulo, Brazil.

Amanda Trindade Amorim, State University Sorocaba, Brazil

Sorocaba Universidade Estadual de São Paulo (UNESP), Instituto de Ciência e Tecnologia, Sorocaba. Geoprocessamento e Laboratório de Modelagem Matemática Ambiental.

711, avenida de três marcos. Código postal 18087-180. Sorocaba, São Paulo, Brasil.

José Luiz Albuquerque Filho, Technological Research Institute of São Paulo, Brazil

Technological Research Institute of São Paulo (IPT). 532, Prof. Almeida Prado. University City. ZIP Code 05508-901. São Paulo, São Paulo, Brazil.

Roberto Wagner Lourenço, State University Sorocaba, Brazil

Sorocaba São Paulo State University (UNESP), Institute of Science and Technology, Sorocaba. Geoprocessing and Environmental Mathematical Modeling Laboratory.