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Quantifying seed germination based on thermal models to predict global climate change impacts on Cerrado species

Published online by Cambridge University Press:  02 July 2021

Amanda Ribeiro Correa*
Affiliation:
Programa de Pós-graduação em Agricultura Tropical, Universidade Federal de Mato Grosso (UFMT), Avenida Fernando Correa da Costa, n° 2367, Boa Esperança, 78060-900 Cuiabá, MT, Brazil
Ana Mayra Pereira da Silva
Affiliation:
Programa de Pós-graduação em Agricultura Tropical, Universidade Federal de Mato Grosso (UFMT), Avenida Fernando Correa da Costa, n° 2367, Boa Esperança, 78060-900 Cuiabá, MT, Brazil
Carita Rodrigues de Aquino Arantes
Affiliation:
Programa de Pós-graduação em Agricultura Tropical, Universidade Federal de Mato Grosso (UFMT), Avenida Fernando Correa da Costa, n° 2367, Boa Esperança, 78060-900 Cuiabá, MT, Brazil
Sebastião Carneiro Guimarães
Affiliation:
Programa de Pós-graduação em Agricultura Tropical, Universidade Federal de Mato Grosso (UFMT), Avenida Fernando Correa da Costa, n° 2367, Boa Esperança, 78060-900 Cuiabá, MT, Brazil Departamento de Fitotecnia e Fitossanidade, Universidade Federal de Mato Grosso (UFMT), Avenida Fernando Correa da Costa, n° 2367, Boa Esperança, 78060-900 Cuiabá, MT, Brazil
Elisangela Clarete Camili
Affiliation:
Programa de Pós-graduação em Agricultura Tropical, Universidade Federal de Mato Grosso (UFMT), Avenida Fernando Correa da Costa, n° 2367, Boa Esperança, 78060-900 Cuiabá, MT, Brazil Departamento de Fitotecnia e Fitossanidade, Universidade Federal de Mato Grosso (UFMT), Avenida Fernando Correa da Costa, n° 2367, Boa Esperança, 78060-900 Cuiabá, MT, Brazil
Maria de Fátima Barbosa Coelho
Affiliation:
Programa de Pós-graduação em Agricultura Tropical, Universidade Federal de Mato Grosso (UFMT), Avenida Fernando Correa da Costa, n° 2367, Boa Esperança, 78060-900 Cuiabá, MT, Brazil
*
Author for Correspondence: Amanda Ribeiro Correa, E-mail: amandaagro23@gmail.com
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Abstract

Seed germination is regulated by temperature and can thus be quantified by thermal models, which can predict germination occurrence in biomes and plant survival under possible climate change scenarios. The objective of this study was to quantify germination based on thermal time and survival risk of 14 species in the Brazilian Cerrado in scenarios of future climate change. Seeds were collected in the warmer regions of the Cerrado, central Brazil, placed in incubators to germinate at constant temperatures of 10–50°C and evaluated every hour or day. Germination rate (R50), time for germination of 50% of the seeds (T50) and dent-like function were used to determine cardinal temperatures. Thermal time parameters were estimated using the Weibull model. Seed germination forecasts were made based on the International Panel on Climatic Change (IPCC) scenarios of global temperature increase. Base temperatures (Tb) ranged from 3.5 to 16.5°C, maximum temperatures (Tmax) from 35 to 50°C and optimum temperatures (To) from 30 to 35°C. Estimated thermal time varied from 484°C h to 400°C d at sub-optimal temperatures and 108°C h at 126°C d at supra-optimal temperatures. Species more distributed showed a higher thermal range of germination and are less susceptible to extinction in temperature increase scenarios. The results of this study suggest that seeds that are non-dormant after dispersal may be the most vulnerable in the future. In this context, our predictions contribute to understand how the survival of trees and shrubs will be affected in the Cerrado in the future.

Information

Type
Research Paper
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press
Figure 0

Table 1. Ecological aspects, type and treatment for breaking seed dormancy, mass of a thousand seeds and seed water content of 14 species collected in the Brazilian Cerrado and found in other biomes

Figure 1

Fig. 1. Maximum, mean and minimum air temperatures (Max. Temp., Mean Temp. and Min. Temp., respectively) and rainfall of the Cerrado region in Mato Grosso from 2000 to 2019. Data were obtained from the INMET (Instituto Nacional de Meteorologia, Brazil).

Figure 2

Table 2. Dent-like function and thermal time model parameters for seed germination of 14 species occurring in the Brazilian Cerrado

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Fig. 2. Predicted (lines) and observed values (symbols) of the seed germination rate of species occurring in the Cerrado at constant temperatures for a fraction of 50% of the seed population. Lines represent the dent-like function adjusted to the data and error bars represent standard deviations.

Figure 4

Table 3. Predicted mean temperature and number of days with extreme temperatures during the rainy season, and minimum temperature during winter in the central region of the Cerrado, based on global temperature increase in optimistic and pessimistic RCP scenarios (IPCC, 2014)

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