read_species() %>%
select(scientific_name, acronym, common_name, biome, leaf_habit) %>%
knitr::kable()
scientific_name |
acronym |
common_name |
biome |
leaf_habit |
Acer negundo |
acene |
box elder |
temperate |
deciduous |
Acer rubrum |
aceru |
red maple |
temperate |
deciduous |
Acer saccharum |
acesa |
sugar maple |
temperate |
deciduous |
Betula alleghaniensis |
betal |
yellow birch |
temperate |
deciduous |
Betula papyrifera |
betpa |
paper birch |
boreal |
deciduous |
Frangula alnus |
fraal |
glossy buckthorn |
exotic |
deciduous |
Lonicera morrowii |
lonmo |
Morrow’s honeysuckle |
exotic |
deciduous |
Lonicera tatarica |
lonta |
tatarian honeysuckle |
exotic |
deciduous |
Populus tremouloides |
poptr |
trembling aspen |
boreal |
deciduous |
Quercus macrocarpa |
quema |
bur oak |
temperate |
deciduous |
Quercus rubra |
queru |
red oak |
temperate |
deciduous |
Rhamnus cathartica |
rhaca |
common buckthorn |
exotic |
deciduous |
Tilia americana |
tilam |
american basswood |
temperate |
deciduous |
Abies balsamea |
abiba |
balsam fir |
boreal |
evergreen |
Picea glauca |
picgl |
white spruce |
boreal |
evergreen |
Picea mariana |
picma |
black spruce |
boreal |
evergreen |
Pinus banksiana |
pinba |
jack pine |
boreal |
evergreen |
Pinus resinosa |
pinre |
red pine |
temperate |
evergreen |
Pinus strobus |
pinst |
white pine |
temperate |
evergreen |
Thuja occidentalis |
thuoc |
white cedar |
temperate |
evergreen |
Tsuga canadensis |
tsuca |
canadian hemlock |
temperate |
evergreen |
Phenophase data
dat_phenophase <- tidy_phenophase()
setwd("phenologyb4warmed/")
usethis::use_data(dat_phenophase, overwrite = T)
setwd("..")
dat_phenophase_time_clean <- calc_phenophase_time(dat_phenophase, remove_outlier = T)
dat_phenophase_clean <- tidy_phenophase(remove_outlier = T, dat_phenophase_time = dat_phenophase_time_clean)
setwd("phenologyb4warmed/")
usethis::use_data(dat_phenophase_time_clean, overwrite = T)
usethis::use_data(dat_phenophase_clean, overwrite = T)
setwd("..")
Shoot length data
dat_shoot <- tidy_shoot()
usethis::proj_set(str_c(getwd(), "/phenologyb4warmed/"), force = T)
setwd("phenologyb4warmed/")
usethis::use_data(dat_shoot, overwrite = T)
setwd("..")
dat_shoot_extend <- dat_shoot %>% tidy_shoot_extend()
plot_shoot(dat_shoot_extend %>% filter(year == 2016, site == "hwrc") %>% filter(species == "queru"), quantile = F)
Climate data
dat_climate <- read_climate(option = "raw")
dat_climate_daily <- summ_climate_daily(dat_climate)
setwd("phenologyb4warmed/")
usethis::use_data(dat_climate_daily, overwrite = T)
setwd("..")
plot_climate_avail(dat_climate_daily, var = "temp_ag")
plot_climate_avail(dat_climate_daily, var = "mois")
dat_climate_spring <- summ_climate_season(dat_climate_daily, date_start = "Mar 15", date_end = "May 15", rainfall = 1)
dat_climate_spring_ambient <- calc_climate_ambient(dat_climate_spring, dat_phenophase)
plot_climate_change(dat_climate_spring_ambient)
dat_climate_fall <- summ_climate_season(dat_climate_daily, date_start = "Jul 15", date_end = "Sep 15", rainfall = 1)
dat_climate_fall_ambient <- calc_climate_ambient(dat_climate_fall, dat_phenophase)
plot_climate_change(dat_climate_fall_ambient)
dat_multiple <- tidy_multiple_data(dat_shoot, dat_phenophase_clean)
setwd("phenologyb4warmed/")
usethis::use_data(dat_multiple, overwrite = T)
setwd("..")
dat_multiple %>%
filter(barcode == 6705, year == 2010) %>%
filter(doy <= 230) %>%
plot_multiple_data()