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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

razilian biomes distribution: Past and futur

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Autor(es):
Maksic, J. [1] ; Venancio, I. M. [2] ; Shimizu, M. H. [2] ; Chiessi, C. M. [3] ; Piacsek, P. [4] ; Sampaio, G. [2] ; Cruz, Francisco W. [5] ; Alexandre, F. F. [2]
Número total de Autores: 8
Afiliação do(s) autor(es):
[1] Natl Inst Space Res INPE, Div Impacts Adaptat & Vulnerabil, Sao Jose Dos Campos, SP - Brazil
[2] Natl Inst Space Res INPE, Ctr Weather Forecasting & Climate Studies CPTEC, Cachoeira Paulista - Brazil
[3] Univ Sao Paulo, Sch Arts Sci & Humanities, Sao Paulo - Brazil
[4] Fluminense Fed Univ, Postgrad Program Geosci Environm Geochem, Niteroi, RJ - Brazil
[5] Univ Sao Paulo, Geosci Inst, Sao Paulo - Brazil
Número total de Afiliações: 5
Tipo de documento: Artigo Científico
Fonte: PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY; v. 585, JAN 1 2022.
Citações Web of Science: 1
Resumo

The Last Glacial Maximum (LGM, 26.5-19 ka) was marked by atmospheric cooling, in contrast to the current warming climate, which will probably continue in the coming decades, according to climate models projections. The LGM to pre-industrial transition provides an opportunity to test the vegetation response to a very large temperature change that can then be applied to project pre-industrial to end-of-century changes. In order to explore the changes in Brazilian biomes due to temperature change, we projected potential vegetation for both past and future scenarios. We compared biome projections with a compilation of 149 published LGM reconstructions of climate and vegetation within Brazil and adjacent areas. In addition, we evaluated the particular effects that changes in precipitation, temperature and CO2 had on vegetation by performing sensitivity experiments. Our results suggest that biomes in the western and central portions of the Amazon forest remained largely unchanged during the LGM mainly due to negative temperature anomalies, while a decrease in past precipitation was responsible for the shift from tropical evergreen forest to tropical seasonal forest in the eastern portion of the Amazon. These results are consistent with proxy reconstructions. LGM model projections and proxy reconstructions suggest expansion of grassland in the southern Brazilian highlands. Under future warming scenarios, biome changes are mostly forced by decreasing precipitation and increasing temperatures, which counteract potential biomass gain from the positive CO2 fertilization effect. Under future warming, our simulations show an expansion of Savanna/Cerrado and a reduction of tropical seasonal forest and Caatinga, with potential large impacts over biodiversity and regional climate. (AU)

Processo FAPESP: 18/15123-4 - Perspectivas pretéritas sobre limiares críticos do sistema climático: a Floresta Amazônica e a célula de revolvimento meridional do Atlântico (PPTEAM)
Beneficiário:Cristiano Mazur Chiessi
Modalidade de apoio: Auxílio à Pesquisa - Programa de Pesquisa sobre Mudanças Climáticas Globais - Jovens Pesquisadores - Fase 2
Processo FAPESP: 18/23522-6 - Simulação da Monção da América do Sul no último milênio: à variabilidade multidecadal e interanual e mecanismos de atuação
Beneficiário:Jelena Maksic
Modalidade de apoio: Bolsas no Brasil - Doutorado Direto