| Title: |
Climate change and its alterations on annatto (Bixa orellana L.) climate zoning in Brazil. |
| Authors: |
Lorençone, João Antonio1 (AUTHOR), de Oliveira Aparecido, Lucas Eduardo2 (AUTHOR) lucas.aparecido@ifsuldeminas.edu.br, Lorençone, Pedro Antonio1 (AUTHOR), Torsoni, Guilherme Botega1 (AUTHOR), de Lima, Rafael Fausto1 (AUTHOR), Chiquitto, Alisson Gaspar1 (AUTHOR), de Souza Rolim, Glauco3 (AUTHOR), Marqueti, Henrique Gavazzoni1 (AUTHOR) |
| Source: |
Theoretical & Applied Climatology. Mar2024, Vol. 155 Issue 3, p2473-2497. 25p. |
| Subject Terms: |
*CLIMATIC zones, *GEOGRAPHIC information system software, *ATMOSPHERIC temperature, *SHIFTING cultivation, *PYTHON programming language, *GLOBAL warming |
| Geographic Terms: |
BRAZIL |
| Abstract: |
Annatto, a globally valued crop, has multifaceted applications ranging from food coloring to medicine. While adaptable, its productivity is influenced by climate, making it vulnerable to global warming. This study investigates the agroclimatic suitability for annatto cultivation in Brazil, considering current and projected climate scenarios, highlighting potential impacts on agriculture, the economy, and environmental sustainability. This study aims to carry out the annatto (Bixa orellana L.) agroclimatic zoning for Brazil in the current scenario and the SSP5-8.5 climate change scenario for CMIP6. Air temperature and daily precipitation data for the 1970–2000 and for 2021–2100 for the IPSL-CM6A-LR model the SSP1-2.6, SSP2-4.5, SSP3-2.6 and SSP5-8.5 in GeoTIFF format. This study was carried out for the entire Brazilian territory. Future climate variables were obtained by the WorldClim 2.1 platform for the IPSL-CM6A-LR model in the periods 2021–2100 and the SSP1-2.6, SSP2-4.5, SSP3-2.6 and SSP5-8.5 scenario. Thus, zoning was carried out using geographic information systems software (QGIS), automated with the Python language. The annatto climate zoning for the current scenario showed five classes. The most predominant class was restricted due to excess water (42.9%), followed by the suitable class (32.5%), standing out the central Brazilian region: Mato Grosso do Sul (91.6%), Goiás (80.8%), and Tocantins (92.6%). Climate change affected negatively annatto climate zoning in all scenarios. The suitability class for the SSP5-8.5 scenario decreased in all periods, with means of 27.9% (2021–2040), 20.2% (2041–2060), 12.1% (2061–2080), and 6.5% (2081–2100). Climate changes significantly impact annatto cultivation areas in Brazil, particularly by 2081–2100, with a notable reduction in suitable zones. Key producing regions, like Monte Castelo-SP and Dracena-SP, face unsuitability, threatening local economies. The study underscores the urgency to explore annatto's adaptive capacity against the direst IPCC scenario (SSP5-8.5). [ABSTRACT FROM AUTHOR] |
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