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::: operatorread_licor() removes lines where parameter settings are
changed between loggingread_licor()read_li6800() in favor of
read_licor()fit_many() in favor of generic methods
like purrr::map()bibentry() instead of
citEntry()expect_no_condition() from unit tests to
resolved issue #12dplyr::progress_estimated() with
progress::progress_bar()photo(..., use_tealeaves = TRUE).
User-defined changes in stomatal conductance ratio were not being passed
to tealeaves.photo() and
photosynthesis() output when
use_tealeaves = TRUEsimulate_error() to simulate
measurement error in gas exchange measurements.fit_photosynthesis(..., .method = "brms")fit_photosynthesis() which performs all checks and
manipulations prior to passing arguments to various fit_
functions.fit_r_light_kok(),
fit_r_light_WalkerOrt(), fit_r_light_yin() in
favor of fit_r_light2(). The new function uses non-standard
evaluation to replace variable names as in dplyr::rename().
It will also extend functionality to enable Bayesian fitting using
brms and does not output a plot.fit_aq_response2()
using brms package.fit_aq_response() in favor of
fit_aq_response2(). The new function uses non-standard
evaluation to replace variable names as in dplyr::rename().
It will also extend functionality to enable Bayesian fitting using
brms and does not output a plot.find_A()C_i (intercellular CO2 concentration) to output
from photo() and photosynthesis()progress option to fit_many() to
toggle progress barphotosynthesis(), but
performance should be the sameC_air from 41 Pa to 420 umol/molO from 21.27565 kPa to 0.21
mol/molg_iasc) and
liquid-phase (g_liqc) conductances.photo_parameters is single source
of truth for all input parameters to photo() and
photosynthesis().gc2gw() and gw2gc() and
migrated to gunit version 1.0.2. Legacy version used
version for still air in boundary layer conductance conversions. The
corrected version includes modification for laminar flow in the boundary
layer. Legacy version can be obtained with option
use_legacy_version = TRUE.[umol / m ^ 2 / s / Pa] to
[mol / m ^ 2 / s]<- to = in many instances%>% to |> in many
instancestemp_resp1 and temp_resp2, corrected
reference. (#6)Added analytical tools for plant ecophysiology, including fitting stomatal conductance models, photosynthetic responses to light, CO2, and temperature, light respiration, as well as tools for performing sensitivity analyses.
Added tests for new functions.
Added new vignette to include examples of new analytical functions.
photosynthesis()
that was introduced when use_tealeaves = TRUE because of
changes in the tealeaves package. This led to crossing
all parameter values with all unique values of calculated
T_sky, which was incorrect. Added unit tests to ensuring
that crossing is done correctly under
tests/test-photosynthesis-crossing.Rphotosynthesis() caused by new version of
dplyr.enviro_par(), “sky” temperature (T_sky)
can now be provided directly as a values (in K) or as a function (the
default).parallel = TRUE in photosynthesis(),
future uses plan("multisession") rather
than plan("multiprocess").CONDUCT.md in READMERelease to be archived with revision of “Is amphistomy an adaptation to high light? Optimality models of stomatal traits along light gradients.”
Description: Simulate C\(_3\) photosynthesis using the Farquhar, von Caemmerer, Berry (1980) model as described in Buckley and Diaz-Espejo (2015). It uses units to ensure that parameters are properly specified and transformed before calculations. Temperature response functions get automatically “baked” into all parameters based on leaf temperature following Bernacchi et al. (2002). The package includes boundary layer, cuticular, stomatal, and mesophyll conductances to CO\(_2\), which each can vary on the upper and lower portions of the leaf. Use straightforward functions to simulate photosynthesis over environmental gradients such as Photosynthetic Photon Flux Density (PPFD) and leaf temperature, or over trait gradients such as CO\(_2\) conductance or photochemistry.
NEWS.md file to track changes to the
package.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.