Publications by Beni Stocker
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Motivation The P-model predicts the “acclimated” response of photosynthetic parameters and stomatal sensitivity (Vcmax, Jmax, \(\xi\)) to the environment and reflects the acclimation process by balanced investments to maintaining the photosynthetic apparatus and transpiration stream (essentially a trade-off between the capacities of light-har...
4359 sym R (2731 sym/11 pcs) 9 img
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Read in df <- read_csv("~/data/gcme/data_received_190325/NewData_wide_CORRECTED2.csv") %>% # something is wrong in columns ambient_Sd, ambient_Se, elevated... mutate( ambient_Sd = as.numeric(ambient_Sd), ambient_Se = as.numeric(ambient_Se), elevated_Sd = as.numeric(elevated_Sd), elevated_Se = as.numeric(elevated_Se) ) # save e...
1413 sym R (22899 sym/76 pcs) 21 img 2 tbl
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Load data Load modelled and observed from global calibration at tag v4.2. Subset to required sites only. out_eval <- read_rds("~/data/rsofun_benchmarking/out_eval_v4.2.rds") ## add modelled and observed to dates and sites required for this here ddf <- read_rds("data/df_output_rsofun.rds") %>% dplyr::select(sitename, data) %>% unnest(data) ...
576 sym R (4355 sym/11 pcs) 7 img
photocold site selection
Select sites with a winter-dormant climate (temperate and boreal) without dry season. Cfa, Cfb, Cfc Dfa, Dfb, Dfc, Dfd Use only forests. That is classid: GRA MF ENF DBF DNF df_sites <- siteinfo_fluxnet2015 %>% filter(koeppen_code %in% c("Cfa", "Cfb", "Cfc", "Dfa", "Dfb", "Dfc", "Dfd") & classid %in% c("MF", "ENF", "DBF", "DNF"))...
298 sym R (688 sym/4 pcs) 2 tbl
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Read in df <- read_csv("~/data/gcme/data_received_190325/NewData_wide_CORRECTED2.csv") %>% # something is wrong in columns ambient_Sd, ambient_Se, elevated... mutate( ambient_Sd = as.numeric(ambient_Sd), ambient_Se = as.numeric(ambient_Se), elevated_Sd = as.numeric(elevated_Sd), elevated_Se = as.numeric(elevated_Se) ) # save e...
1276 sym R (15851 sym/33 pcs) 7 img 2 tbl
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When reading the files you sent me, some data is missing. source sland beta_gpp beta_reco nrf CABLE 3.875213 0.8191375 0.8025959 8.7791036 CLASS_CTEM 3.204068 0.4930046 0.4030876 0.9971417 CLM 2.240896 0.3903936 0.3515676 2.7268429 DLEM 2.288555 0.6974570 0.6394701 2.3818175 ISAM 2.291047 0.6654760 0.6007053 0.5101950 JSBACH 3.038597 0.616...
779 sym R (4186 sym/16 pcs) 5 img 1 tbl
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LM3-PPA usage Koen Hufkens The rsofun package and framework includes two main models. The pmodel and lm3-ppa (which in part relies on pmodel component). Here we give a short example on how to run the lm3ppa model on the included demo datasets to familiarize yourself with both the data structure and the outputs. Demo data The package includes two ...
2109 sym R (6181 sym/10 pcs) 4 img
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Read data We’re reading data from Kevin’s database, selecting only data where only CO2 was manipulated, from experiments that lasted more than 2 years, and include OTC and FACE experiments. This is a demo and we’re using just ANPP data (any of c("aboveground_production", "annual_aboveground_biomass_production", "ANPP")). df <- read_csv("~/d...
1986 sym R (5384 sym/15 pcs) 2 img 2 tbl
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This was done with rsofun, branch photocold at commit ad1b734fec1e5371212ce767b611cbaaede2b02a. Load rsofun Get rsofun, photocold branch, and install it. # devtools::install_github("computationales/rsofun@v4.2") library(rsofun) Description This is to run the same evaluation of GPP simulated by the P-model as done for Stocker et al. (2020), usi...
1892 sym R (14178 sym/37 pcs) 6 img 1 tbl
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Read data We’re reading data from Kevin’s database, selecting only data where only CO2 was manipulated, from experiments that lasted more than 2 years, and include OTC and FACE experiments. This is a demo and we’re using just ANPP data (any of c("aboveground_production", "annual_aboveground_biomass_production", "ANPP")). df <- read_csv("~/d...
1712 sym R (4075 sym/9 pcs) 2 img 2 tbl