CELLDEX geospatial

Data and code for geospatial modeling of CELLDEX data Tiegs et al. Predicting global organic-matter decomposition in flowing waters.

List of all files in repository

Raw data files in repository:

• CELLDEX_deploy_dates.csv
• DRP_Conc.tif
• NO3_Conc.tif
• gbc1549-sup-0009-ts02.csv
• gbc20320-sup-0002-supinfo.csv
• var_names.csv
• validation_variables.csv
• LeRoy.ExpandedDataset.Kvalues.csv
• LeafConditionKey2.csv
• TRY_traits.csv
• Litter_traits_review.csv

Derived data files in repository:

• litter_processed.csv
• traits.csv
• global_kd.tif Raster of global predictions of ln cotton decomposition rates (1/d)

Code files in repository:

• CELLDEX_geospatial_BRT.R code for statistical analyses and figure generation
• litter_process.R code for cleaning and compiling litter decay and traits

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Metadata for files used in CELLDEX_geospatial_BRT.R

CELLDEX_deploy_dates.csv

Parameter	Definition	Units
partnerid	Numerical partner ID
stream	Numerical stream ID
deploy_date	Date of cotton deployment	month/day/year

DRP_Conc.tif and NO3_Conc.tif

Source: McDowell et al. (2021) https://doi.org/10.1002/gdj3.111

Repository: https://doi.org/10.25400/lincolnuninz.11894697

Rasters of dissolved reactive phosphorus (DRP) and nitrate (NO₃) yield from watersheds (kg (NO₃-N or DRP-P)/ha/yr). Coarse-scale maps are provided in the above source, and fine-scale rasters were provided by authors.

gbc1549-sup-0009-ts02.csv

Source: Mahowald et al. (2008) https://doi.org/10.1029/2008GB003240

Phosphorus dry deposition (kg P/km²/yr). See supporting information at above link for metadata.

gbc20320-sup-0002-supinfo.csv

Brahney et al. (2015) https://doi.org/10.1002/2015GB005137

Phosphorus dry deposition (kg P/km²/yr). See supporting information at above link for metadata.

var_names.csv

Names of predictor variables that were included in the boosted regression tree model predicting cotton strip decomposition.

Parameter	Definition
Variables	Name of variable
Transform	Transformation needed (see note)
Description	Longer description of variable
Source	Source of data

Transformation codes: log = log(x); log1 = log(x+1); xhund = x*100; xten = x*10

validation_variables.csv

Names of predictor variables that were included in the boosted regression tree validation model predicting leaf litter decomposition.

Parameter	Definition
Variables	Name of variable
Source	Source of data

Other data files stored in online repositories

Other CELLDEX cotton data

Source: Tiegs et al. 2019 https://doi.org/10.1126/sciadv.aav0486

Repository: https://github.com/dmcostello/CELLDEX2018

Files: CELLDEX_SITE_DATA.csv CELLDEX_TEMPERATURE.csv str_k.csv

Climate and weather

Source: https://www.worldclim.org/

Repository: worldclim package in R

Files: wc2.1_10m_tmin_12.tif

N deposition

Source: Ackerman et al. (2019) https://doi.org/10.1029/2018GB005990

Repository: https://hdl.handle.net/11299/197613

Files: inorganic_N_deposition.csv

HydroBASINS

Source: Linke et al. (2019) https://doi.org/10.1038/s41597-019-0300-6

Repository: https://www.hydrosheds.org/products/hydroatlas

Files: BasinATLAS_v10_lev12.shp

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Metadata for files used in litter_process.R

LeRoy.ExpandedDataset.Kvalues.csv

Source: LeRoy et al. (2020) https://doi.org/10.1111/1365-2745.13262

Repository: https://github.com/andrew-hipp/decomposition-phylogeny-2019

See repository for metadata

LeafConditionKey2.csv

Additional information about leaf condition not included in LeRoy.ExpandedDataset.Kvalues. Provided by Jenn Follstad Shah. Linked by Sorting.code.

TRY_traits.csv

Source: Data request from TRY Plant Trait Database (https://try-db.org/)

Parameter	Definition	Units
Genus	Plant genus
N_Leaf_Mn	Mean nitrogen content of fresh leaves	% dry mass
N_Leaf_Med	Median nitrogen content of fresh leaves	% dry mass
P_Leaf_Mn	Mean phosphorus content of fresh leaves	% dry mass
P_Leaf_Med	Median phosphorus content of fresh leaves	% dry mass
NtoP_Leaf_Mn	Mean N:P of fresh leaves	Mass ratio
NtoP_Leaf_Med	Median N:P of fresh leaves	Mass ratio
Thick_Mn	Mean fresh leaf thickness	mm
Thick_Med	Median fresh leaf thickness	mm
C_Leaf_Mn	Mean carbon content of fresh leaves	% dry mass
C_Leaf_Med	Median carbon content of fresh leaves	% dry mass
CtoN_Leaf_Mn	Mean C:N of fresh leaves	Mass ratio
CtoN_Leaf_Med	Median C:N of fresh leaves	Mass ratio
Ca_Leaf_Mn	Mean calcium content of fresh leaves	% dry mass
Ca_Leaf_Med	Median calcium content of fresh leaves	% dry mass

Litter_traits_review.csv

Database of litter chemistry from stream decomp experiments from literature. Provided by Jenn Follstad Shah.

Parameter	Definition	Units
Citation	Citation from which data were extracted
Sci_name	Taxonomic name of litter used
Genus	Taxonomic genus
Species	Taxonomic species
Family	Taxonomic family
Stream_names	Name of study stream
perC	Litter carbon content	% dry mass
perN	Litter nitrogen content	% dry mass
perP	Litter phosphorus content	% dry mass
CtoN	Litter C:N	Molar ratio
CtoP	Litter C:P	Molar ratio
NtoP	Litter N:P	Molar ratio
How_ratios_were_determined	If ratios were reported in paper or calculated
perLignin	Litter lignin content	% dry mass
perCellulose	Litter cellulose content	% dry mass

litter_processed.csv

Derived dataset of average litter decomposition rates in streams with at least 3 measurements for each genera.

Parameter	Definition	Units
Sorting.code	Code to link back to original data
Mesh.size	Size of mesh in litter bag	See note 1
Leaf.condition	Condition of leaves in litter bag	See note 2
Genus	Taxonomic genus
latitude	Reported latitude	Decimal degrees
longitude	Reported longitude	Decimal degrees
mean_kd	Mean decomposition rate	1/d
mean_mean_daily_temp	Mean reported average temperature	°C
Citation	Citation from which data were extracted

1. Data were screened to include only coarse or fine mesh bags.
2. Data were screened to include only senesced or green leaves. Air-dried leaves were classified as senesced.

traits.csv

Derived dataset averaging and merging leaf and litter traits by genus. Parameter definitions and units are the same as TRY_traits.csv and Litter_traits_review.csv. All senesced litter traits are reported as genus-level means.