AUTHORSHIP AND ORIGINALITY DECLARATION   DOCTORAL THESIS: AGRO-ENVIRONMENTAL SUSTAINABILITY OF THE COFFEE GROWING REGION OF MINAS GERAIS IN THE FACE OF CLIMATE CHANGE_v2
Creators: name: SARA GONÇALVES BARBOSA
name: VAGNER BRAGA NUNES COELHO
Publisher: name: Zenodo
Year: 2025
Subjects: subject: ontology
subject: climate change
subject: coffee cultivation
subject: data modeling
subject: land use and cover modeling
subject: Environmental justice
subject: coffee-growing region
subject: Sustainable Development Goals
subject: Agricultural sustainability
subject: environmental modeling
subject: prospective scenarios
subject: climate vulnerability
subject: agricultural adaptation
subject: MapBiomas
subject: Remote sensing
subject: accuracy
subject: geoprocessing
subject: agroclimatic zoning
subject: agricultural sustainability
subject: agricultural systems modeling

description: Esta tese em desenvolvimento, intitulada SUSTENTABILIDADE AGROAMBIENTAL DA REGIÃO CAFEEIRA DE MINAS GERAIS DIANTE DAS MUDANÇAS CLIMÁTICAS, é um trabalho original de Sara Gonçalves Barbosa, sob a orientação do Prof. Dr. Vagner Braga Nunes Coelho e coorientação do Prof. Dr. Getúlio Fonseca Domingues. Nenhuma parte deste conteúdo pode ser reproduzida, adaptada ou utilizada sem a devida citação e referência ao autor e orientadores, conforme estipulado pela lei brasileira de direitos autorais (Lei nº 9.610/98) e pelos princípios da ética em pesquisa científica. 

O projeto de pesquisa referente a esta tese foi submetido ao Edital nº 001/2021, Processo Seletivo do Programa de Pós-Graduação em Análise e Modelagem de Sistemas Ambientais, para ingresso em 2022. O edital está disponível no seguinte link: ( https://csr.ufmg.br/ppgamsa/wp-content/uploads/2021/10/Edital-AMSA-2022-Versao-Final.pdf ). ( https://csr.ufmg.br/ppgamsa/wp-content/uploads/2021/10/Edital-AMSA-2022-Versao-Final.pdf ). 

O documento disponível neste link está incluso como material suplementar. O resultado final do processo seletivo pode ser consultado em: ( https://csr.ufmg.br/ppgamsa/wp-content/uploads/2022/06/Resultado-final-Doutorado.pdf ) ( https://csr.ufmg.br/ppgamsa/wp-content/uploads/2022/06/Resultado-final-Doutorado.pdf ). 

O arquivo disponível neste link está incluído como material suplementar. 

Esta pesquisa de doutorado está sendo conduzida no Instituto de Geociências da Universidade Federal de Minas Gerais, Brasil. 

O projeto foi submetido para qualificação em 19 de dezembro de 2024. A banca examinadora foi composta por: Prof. Vagner Braga Nunes Coelho (Universidade Federal de Minas Gerais), Prof. Fonseca Domingues (Universidade Federal de Minas Gerais).

Cabe ressaltar que este DOI substitui o DOI: https://doi.org/10.5281/zenodo.15352365.
description: THESIS ABSTRACT

Agricultural technicians, extension workers, farmers, and researchers are concerned about the impact of climate change on agriculture. Predictions of rising temperatures in certain areas, changes in rainfall patterns, extreme heat and cold waves, as well as frost, contribute to uncertainty regarding coffee productivity in two of the most important mesoregions for Brazilian coffee production. In this context, information on the classes and attributes related to coffee cultivation and climate change can support studies leading to solutions for the production chain at regional and national scales, which have global impacts. This study aims to provide essential information on the classes and attributes related to coffee cultivation and ongoing climate change in the coffee-growing region of Minas Gerais. This research will develop an index to analyze the socio-environmental vulnerability of municipalities within the coffee-growing region of Minas Gerais. For this study, thematic maps provided by the MapBiomas platform will be used. To analyze the impacts of climate change at a regional scale, it is necessary to adopt methods that ensure greater accuracy in the geographic data used as a basis. Given the climate change scenario, the continuity of coffee cultivation, as currently managed in these mesoregions, may become unviable in the next 50 years due to abrupt variations in suitable climatic conditions for cultivation. Finally, this study intends to present land use and cover modeling with scenario projections. This will support strategic planning for entities and families involved in coffee cultivation for the coming decades and ensure the sustainability of coffee production in the main producing regions of Minas Gerais.  

Keywords: ontology; climate change; coffee cultivation; data modeling; land use and cover modeling.