afsetools Data Reference
Source:DATA_REFERENCE.md
This document describes the 82 data objects loaded by load_general_data(). All objects are automatically loaded into your R environment when you call this function.
Quick Reference
library(afsetools)
load_general_data() # Loads all 82 objects belowNomenclatures and Classifications (35 objects)
Core Classifications
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items_full- Complete item nomenclature with codes, names, and categories -
items_prod_full- Production-specific item classifications -
items_cbs- Commodity Balance Sheet item codes -
regions_full- Country codes and names with regional aggregations -
regions_full_uISO3- Regional classifications with ISO3 codes
Product Categories
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Cats- Primary product categories and groupings -
Cats_proc- Processed product categories -
Primary_double- Items with multiple primary products (co-products) -
Secondary_double- Items with multiple secondary products
Biomass Coefficients (17 objects)
Main Coefficients
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Biomass_coefs- Primary coefficient table containing:- Dry matter content (DM)
- Nitrogen content (N)
- Carbon content (C)
- Energy content (energy_MJ_kg)
- Digestible energy for livestock
- Metabolizable energy values
Root and Residue Parameters
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Root_ref- Reference root biomass values by crop type -
Residue_Shares- Management shares for crop residues (harvested vs. left in field) -
Root_Shoot_ratios- Root to shoot biomass ratios -
Harvest_indices- Harvest index values for different crops
Scaling and Conversion Factors
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Weed_NPP_Scaling- Scaling factors for weed biomass relative to crops -
Fallow_cover- Vegetation cover fractions on fallow land -
Land_scaling- Land use intensity scaling factors -
Protein_digestibility- Protein digestibility coefficients
Weed Biomass Constants (6 scalars)
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Root_Shoot_ratio_W- Root to shoot ratio for weeds -
Residue_kgDM_kgFM_W- Weed residue dry matter per fresh matter -
Residue_kgN_kgDM_W- Nitrogen content of weed residues (kg N / kg DM) -
Root_kgN_kgDM_W- Nitrogen content of weed roots (kg N / kg DM) -
Residue_kgC_kgDM_W- Carbon content of weed residues (kg C / kg DM) -
Root_kgC_kgDM_W- Carbon content of weed roots (kg C / kg DM) -
Rhizod_kgN_kgRootN_W- Rhizodeposition nitrogen coefficient for weeds -
Residue_kgC_kgDM_Wo- Carbon content of woody residues (kg C / kg DM) -
Root_kgC_kgDM_Wo- Carbon content of woody roots (kg C / kg DM)
Livestock Coefficients (1 object)
From Livestock_coefs.xlsx.
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max_intake_share- Maximum intake share by livestock category and feed item (28 rows × 3 cols): Livestock_cat, item_cbs, max_intake_share. Used byredistribute_feed()to cap feed allocation.
IPCC Crop Residue and Root Coefficients (8 objects)
Based on IPCC 2006 Guidelines, Vol. 4, Ch. 11, Table 11.2.
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IPCC_residue_coefs- Linear model coefficients for above-ground residue biomass (31 crops): Slope_AG, Intercept_AG_MgDMha, RS_ratio_IPCC, N_AG_residue, N_BG_residue -
IPCC_root_coefs- Root-to-shoot ratios with context-specific adjustments (31 crops): RS_default, RS_low_N, RS_high_N, RS_irrigated, RS_rainfed, BG_ref_MgDMha -
IPCC_crop_mapping- Maps 136 FAO items (Name_biomass) to 31 IPCC crop categories and 8 broader crop groups (Wheat, Rice, Maize, Sorghum_millet, Legumes, Root_tuber, Oilseeds, Other) -
Modern_variety_adoption- Crop-group-specific adoption shares of modern varieties by 8 world regions and 8 crop groups (1900-2020), interpolated to annual resolution at load time. Primary source: Evenson & Gollin (2003) Science 300:758-762 -
HI_crop_ranges- Crop-group-specific harvest index characteristics: traditional vs modern HI values and derived HI gap factors (8 crop groups). Sources: Austin et al. (1980), Hay (1995), Khush (2001), Lorenz et al. (2010), Unkovich et al. (2010), Sinclair (1998) -
Crop_RS_N_response- Crop-group-specific root:shoot ratio N-response sensitivity (8 crop groups). Scales the generic N_input_RS_adj factor to reflect that legumes (0.30) respond minimally to soil N while cereals (1.00) respond fully. Sources: Poorter & Nagel (2000), Peng & Ismail (2004) -
N_input_RS_adj- Nitrogen input adjustment factors for root:shoot ratios (5 classes from <20 to >200 kg N/ha) based on Poorter & Nagel 2000 -
Irrigation_adj- Irrigation adjustment factors for residue:product and root:shoot ratios (Irrigated, Rainfed, Mixed)
NPP Model Coefficients (1 object)
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NPP_model_coefs- All numeric coefficients for potential NPP models (23 parameters across 6 model variants):- Miami (Lieth 1975): Temperature and precipitation logistic curves
- NCEAS tree TNPP/ANPP (Del Grosso et al. 2008, Table 1): Coupled temperature-precipitation models for tree-dominated systems
- NCEAS non-tree TNPP/ANPP (Del Grosso et al. 2008, Table 2): Precipitation-only saturating models for grasslands
- Rosenzweig (1968): AET-based log-linear model
Global Warming Potentials (8 objects)
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GWP- Complete GWP table with multiple time horizons -
GWP_C- Carbon molecular weight ratio -
GWP_CO2- CO2 global warming potential (= 1) -
GWP_CH4- CH4 100-year global warming potential -
GWP_CH4_fossil- CH4 fossil 100-year GWP (higher than biogenic) -
GWP_N2O- N2O 100-year global warming potential -
GWP_N2ON- N2O-N to N2O conversion factor times GWP
Biological Nitrogen Fixation (3 objects)
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BNF- BNF parameters (17 rows) including:-
Name_BNF- BNF parameter category name -
Ndfa- Proportion of N derived from atmosphere (0-1; NA for rice/sugarcane) -
NHI- Nitrogen harvest index (NA for fallow/weeds) -
BGN- Below-ground nitrogen factor (NA for fallow/weeds) -
kgNha- Non-symbiotic BNF base rate (kg N/ha/yr; only rice=33, sugarcane=25) -
Leguminous_share- Fraction of leguminous species (0-1) -
Source- Literature reference for parameter values
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Names_BNF- Crop name mapping (38 rows): mapsName_biomasstoName_BNFcategories; also includesCB_Itemfor commodity balance linking -
Pure_legs- Pure legume classification (10 rows): categorises BNF categories asGrainorFodder_purelegumes
Constants and Scalars (6 objects)
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toe- Tonnes of oil equivalent conversion factor -
IOM- Inert organic matter parameter -
SOM_C- Soil organic matter carbon content -
Soil_depth_carbon- Reference soil depth for carbon accounting -
Protein_N- Protein to nitrogen conversion factor -
Kcal_MJ- Kilocalorie to megajoule conversion factor
Color Palettes and Vectors (8+ objects)
Impact-Specific Colors
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Total_color- Color for total/overall impact categories -
SOM_color- Soil organic matter impact colors -
GHG_color- Greenhouse gas impact colors -
N_color- Nitrogen-related impact colors -
P_color- Phosphorus-related impact colors -
Land_color- Land use impact colors -
Water_color- Water use impact colors -
Energy_color- Energy use impact colors
Data Sources
All coefficients and classifications are derived from harmonized datasets including:
- FAO Statistics - Production, trade, and commodity balance data
- IPCC 2006 Guidelines - Crop residue/root coefficients (Vol.4, Ch.11, Table 11.2), emission factors, and GWP values
- Del Grosso et al. (2008) - NCEAS NPP model coefficients (Ecology 89:2117-2126)
- Lieth (1975) - Miami NPP model coefficients
- Rosenzweig (1968) - AET-based NPP model (Am Nat 102:67-74)
- Evenson & Gollin (2003) - Green Revolution variety adoption data (Science 300:758)
- Poorter & Nagel (2000) - Root:shoot ratio response to N (New Phytologist 147:135)
- Scientific Literature - Biomass coefficients and BNF parameters
- LUH2 Dataset - Land use harmonization data
- Nutrient Databases - Food composition and nutritional data
- Scientific Literature - Biomass coefficients and BNF parameters
- LUH2 Dataset - Land use harmonization data
- Nutrient Databases - Food composition and nutritional data
Usage Examples
# Load all data
load_general_data()
# Explore nomenclatures
head(items_full)
head(regions_full)
# Check available coefficients
head(Biomass_coefs)
head(GWP)
# Use in calculations
my_data %>%
left_join(Biomass_coefs, by = "item") %>%
left_join(GWP, by = "gas_type")
# Access constants
carbon_content <- Residue_kgC_kgDM_W
colors_for_plot <- GHG_colorObject Relationships
Many objects are designed to work together:
- Items nomenclatures link production data to coefficients
- Biomass_coefs provides conversion factors for NPP functions
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GWP values work with emission calculation functions
- BNF parameters integrate with nitrogen cycling functions
- Color palettes match the impact categories in results
For function documentation, use R’s help system: ?function_name or help(package = "afsetools").