Stomatal conductance models in Brazilian forest plantations: genotype and environmental effects on eucalypt and pine forests
Author:
Publisher
Springer Science and Business Media LLC
Subject
Forestry
Link
https://link.springer.com/content/pdf/10.1007/s11056-023-09986-6.pdf
Reference57 articles.
1. Anderegg WRL et al (2017) Plant water potential improves prediction of empirical stomatal models. PLoS ONE 12:1–17. https://doi.org/10.1371/journal.pone.0185481
2. Ball JT, Woodrow IE, Berry JA (1987) A model predicting stomatal conductance and its contribution to the control of photosynthesis under different environmental conditions. In: Biggins J (ed) Progress in photosynthesis research, vol 4, pp 221–224
3. Bartón K, (2020) MuMIn: Multi-Model Inference. R package version 1.42.1. Retrieved from https://cran.rproject.org/package=MuMIn.
4. Binkley D et al (2017) The interactions of climate, spacing and genetics on clonal Eucalyptus plantations across Brazil and Uruguay. For Ecol Manag 405:271–283. https://doi.org/10.1016/j.foreco.2017.09.050
5. Bonan GB et al (2002) The land surface climatology of the Community Land Model coupled to the NCAR Community Climate Model. J clim 15:3123–3149. https://doi.org/10.1175/1520-0442(2002)015<3123:TLSCOT>2.0.CO;2
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