Publications by Beni Stocker
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library(tidyverse) # for working with ease ## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ── ## ✔ ggplot2 3.3.6 ✔ purrr 0.3.4 ## ✔ tibble 3.1.8 ✔ dplyr 1.0.10 ## ✔ tidyr 1.2.0 ✔ stringr 1.4.1...
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library(tidyverse) # for working with ease ## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ── ## ✔ ggplot2 3.3.6 ✔ purrr 0.3.4 ## ✔ tibble 3.1.8 ✔ dplyr 1.0.10 ## ✔ tidyr 1.2.0 ✔ stringr 1.4.1...
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library(tidyverse) # for working with ease Read data The MESI data. df <- read_csv("../data/mesi_main.csv") ## Warning: One or more parsing issues, see `problems()` for details The GCME data (from a version of the db obtained by Kevin on 2019 03 25, eported tabs as CSV and read here). df_gcme_data <- read_csv("../data-raw/table_var_exp_names_D...
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library(tidyverse) # for working with ease Read data The MESI data. df <- read_csv("../data/mesi_main.csv") ## Warning: One or more parsing issues, see `problems()` for details The Liang et al. data can be obtained as an Excel file from here: https://doi.org/10.1111/gcb.15071. I first exported each excel tab to a separate CSV file and then co...
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Model formulation This is from the QUINCY model (Thum et al., 2019 GMD). calc_phi_maint <- function(c_labl, c_labl_target){ lambda_maint <- 4.0 k_maint <- 1.6 exp(-(lambda_maint * c_labl / c_labl_target)^k_maint) } calc_phi_store <- function(c_resv, c_resv_target){ lambda_store <- 2.0 k_store <- 3.0 1 - exp(-(lambda_store * c_resv / ...
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Collect point-scale climate and soil information Beni Stocker library(ingestr) library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union library(tidyr) library(readr) library...
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library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union library(tidyr) library(ggplot2) library(rgdal) # for readOGR ## Loading required package: sp ## Please note that ...
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Full version Theory This is based on McMurtrie & Näsholm, 2017 New Phytologist (doi: 10.1111/nph.14927). The root length density per unit soil volume is a function of root biomass \(C_r\) and morphological parameters (density: \(\rho_r\), rooting depth \(z_r\), root radius \(r_0\)). \[ l_r = \frac{C_r}{2 \pi r_0 \rho_r \ z_r} \] The half-distan...
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knitr::opts_chunk$set(echo = TRUE) library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union library(tidyr) library(ggplot2) library(rbeni) ## ## Attaching package: 'rbeni...
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Example using rsofun for P-model simulations The following describes the use of rsofun for an ensemble of site-scale P-model simulations, including steps for model calibration and evaluation (benchmarking). rsofun is designed in a modular and hierarchical fashion. This enables multiple setups within the same modelling framework. The P-model imple...
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