Stomatal conductance models in Brazilian forest plantations: genotype and environmental effects on eucalypt and pine forests

• Published in: New forests Vol. 55; no. 3; pp. 417 - 440
• Main Authors: dos Santos, Juscelina Arcanjo, Campoe, Otávio Camargo, de Souza, Cléber Rodrigo, Marrichi, Ana Helíosa C., Carneiro, Rafaela Lorenzato, da Silva, Paulo Henrique Muller, de Mattos, Eduardo Moré, Otto, Marina Shinkai Gentil, Gonsalez, Beatriz Teixeira
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.05.2024; Springer Nature B.V
• Subjects: Air temperature; Annual precipitation; Biomedical and Life Sciences; Carbon dioxide; Climate change; Conductance; Coniferous forests; Corymbia; Environmental effects; Environmental factors; Eucalyptus; Forestry; Forests; Generalized linear models; Genotypes; Life Sciences; Parameters; Pine; Pine trees; Pinus; Statistical models; Stomata; Stomatal conductance; Vapor pressure; Water use; Water use efficiency; Brazil; Stomatal responses; Modelling; Gas exchange; Water use efficiency
• ISSN: 0169-4286; 1573-5095
• DOI: 10.1007/s11056-023-09986-6

Several leaf-level models have been developed to model stomatal conductance (gs) in response to environmental factors such as CO 2 , light, temperature, vapor pressure deficit. We studied the applicability of three common stomatal conductance models including Ball–Woodrow–Berry (BB), Ball–Berry–Leuning (BBL) and unified stomatal optimization (USO) models to identify the best model using data obtained from planted forests in Brazil, in addition to analyzing how stomatal conductance and water use efficiency vary between the genera, species and sites. We analyzed the effects of the genus ( Eucalyptus, Corymbia and Pinus ), age, air temperature (minimum temperature and maximum temperatura) and total annual precipitation on parameter g1 using mixed generalized linear models (GLMM). The BBL and USO models performed better comparing to BB model. Both the USO model and the BBL model showed good fits (R2 ranging from 0.41 to 0.95) with the evaluated metrics. From 22 genotypes tested, three did not fit the BBL model. The USO model had good fits with measured stomatal conductance for all datasets. The USO model had the highest slope parameter for species Pinus Taeda (g1 = 4.96 ± 0.09) and the lowest slope parameter for genotype E. grandis  ×  E. urophylla (1.42 ± 0.04). The parameter g1 of the eucalypt group ranged from 1.42 to 4.87. The genus of pine ranged from 4.30 to 4.96. The pine species had a relatively high slope parameter of gs model (g1) and, consequently, the lowest efficiency in water use when compared to eucalyptus species. When evaluating the influence of the climatic variables age and genus on parameter g1, the results showed a significant effect only for the variable “Genus”, indicating a difference between the groups evaluated for the g1 parameter. The g1 was higher for the genus Pinus, and lower for Eucalyptus and Corymbia , which do not differ significantly. Our results made available a database of g1 obtained by the three most used models in ESMS and PBMs models, in addition to suggesting the next steps for the study of stomatal conductance modeling in planted forests in Brazil.