Affiliation:
1. Faculdade de Ciências Agronômicas, Universidade Estadual Paulista-UNESP, Botucatu 18610-034, SP, Brazil
2. Warnell School of Forestry and Natural Resources, University of Georgia-UGA, Athens, GA 30602-2152, USA
3. Departamento de Ciências Florestais, Universidade Federal de Lavras-UFLA, Lavras 37200-000, MG, Brazil
Abstract
Developing a good understanding of the interactions between forest plantation growth and climate is essential for predicting the impact of climate change on terrestrial ecosystems and for assessing the adaptation and vulnerability of tree species. One such interaction, the response in growth rate of a forest stand to changes in temperature, may be described mathematically. Some models that run on monthly time steps assume a yearly optimum, minimum, and maximum temperature for simplicity, which may not represent well to actual forest growth. Here, we developed a finer-resolution methodology that encompasses monthly growth rates and temperature limits to calibrate the parameters for an envelope curve in Eucalyptus plantations in South America. Several polynomial curves were tested to determine temperature patterns, and their yearly tree growth patterns demonstrated that responses to temperature differed by as much as 10 °C among seasons. The best curve was a second-degree polynomial curve, whose extreme values indicated the optimum temperature and whose real roots limited the minimum and maximum temperatures for growth. This polynomial was fitted every month to describe yearly changes in optimum, maximum, and minimum temperatures. When fitted to annual data, it determined 7 °C, 19 °C, and 31 °C as the minimum, optimum, and maximum temperatures for tree growth, respectively. The monthly model predictions indicated that the minimum, optimum, and maximum temperatures lay between 8 °C and 16 °C, 18 °C and 22 °C, and 27 °C and 30 °C, respectively. These monthly temperature ranges can improve the estimation of productivity in process-based models. Our results contribute to the understanding of tree growth dynamics and its relationship to changes in temperature. Accurate ranges of temperature can be used to improve productivity predictions in new expanding planting regions with no previous information or to suggest a regionalization for potential species.
Funder
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Reference55 articles.
1. Insights into Temperature Modulation of the Eucalyptus Globulus and Eucalyptus Grandis Antioxidant and Lignification Subproteomes;Costa;Phytochemistry,2017
2. Ribulose-1,5-Bisphosphate Carboxylase/Oxygenase (RuBisCO)-Mediated de Novo Synthesis of Glycolate-Based Polyhydroxyalkanoate in Escherichia Coli;Matsumoto;J. Biosci. Bioeng.,2019
3. Mechanism of Enzyme Repair by the AAA+ Chaperone Rubisco Activase;Bhat;Mol. Cell,2017
4. The short-term temperature-dependency of CO2 photosynthetic responses of two Vitis vinifera cultivars grown in a hot climate;Greer;Environ. Exp. Bot.,2018
5. Bassow, S.L., Ford, E.D., and Kiester, A.R. (1990). Process Modeling of Forest Growth Responses to Environmental Stress, Timber Press.