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tealeaves  

Solve for Leaf Temperature Using Energy Balance
View on CRAN: Click here


Download and install tealeaves package within the R console
Install from CRAN:
install.packages("tealeaves")

Install from Github:
library("remotes")
install_github("cran/tealeaves")

Install by package version:
library("remotes")
install_version("tealeaves", "1.0.6")



Attach the package and use:
library("tealeaves")
Maintained by
Chris Muir
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-04
Latest Update: 2022-07-20
Description:
Implements models of leaf temperature using energy balance. It uses units to ensure that parameters are properly specified and transformed before calculations. It allows separate lower and upper surface conductances to heat and water vapour, so sensible and latent heat loss are calculated for each surface separatelyas in Foster and Smith (1986) <doi:10.1111/j.1365-3040.1986.tb02108.x>. It's straightforward to model leaf temperature over environmental gradients such as light, air temperature, humidity, and wind. It can also model leaf temperature over trait gradients such as leaf size or stomatal conductance. Other references are Monteith and Unsworth (2013, ISBN:9780123869104), Nobel (2009, ISBN:9780123741431), and Okajima et al. (2012) <doi:10.1007/s11284-011-0905-5>.
How to cite:
Chris Muir (2019). tealeaves: Solve for Leaf Temperature Using Energy Balance. R package version 1.0.6, https://cran.r-project.org/web/packages/tealeaves
Previous versions and publish date:
1.0.0 (2019-05-04 18:40), 1.0.2 (2020-06-07 08:20), 1.0.3 (2020-06-13 15:10), 1.0.5 (2020-06-18 12:30)
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