## GENERAL INFORMATION 

DATA TITLE: AgroIBIS VSF Lettuce Pothole Model Runs
PROJECT TITLE: Planting miscanthus instead of row crops may increase the productivity and economic performance of farmed potholes
DATA ABSTRACT: This data set includes modeled (AgroIBIS-VSF) output of crop yield for miscanthus and a corn/soybean rotation in .nc format. Input includes the precipitation scenarios (.csv) used to generate the runs, and supplemental observed yield monitor data (.csv) from the research area of interest.

AUTHORS: 

	Author: Patrick Edmonds
	Institution: Iowa State University
	Email: edmonds5@iastate.edu

   	Author: Andy VanLoocke
	Institution: Iowa State University
	Email: andyvanl@iastate.edu

	Corresponding author: Andy VanLoocke

	DOI reference: "Planting miscanthus instead of row crops may increase the productivity and economic performance of farmed potholes" 10.1111/gcbb.12870


COLLECTION INFORMATION:

	Time period(s): Simulations were run throughout 2016/2017. Yield data was collected during harvest of their respective labeled years, and Leaf Area Index (LAI) was collected 8/16/2016. 
	Location(s): Yields, LAI, and simulations were based around the Been and Bennett Farm fields in Ames, IA (41.9890° N, -93.6823° W)

### FILE DIRECTORY 

Data
-BeenYield2013_2015
Been Field yields for 2013-2015 field seasons (.csv)

-BennettYield2012_2016
Bennett Field yields for 2012-2016 field seasons (.csv)

-ModelInput
--Weather
A collection of six weather scenarios with varying precipitation (Aggressive, High, Low, Mid, Moderate, and Observed) for 2002-2016 (.csv)

-ModelOutput
AgroIBIS-VSF modeled yield output for three crop scenarios (CornSoyRotation, Miscanthus High, MiscanthusLow) for each precipitation scenario (.nc)

-DomainDEMMAtrix.csv
-Lettuce_LAI.csv

#### FILE LIST

1. BeenYield2013_2015, Been Field yields for 2013-2015 field seasons
	a. 2013 Been Corn.csv, Yield monitor data of harvested corn in Been Field
	b. 2014 Been Soybeans.csv, Yield monitor data of harvested soybean in Been Field
	c. 2015 Been Corn.csv, Yield monitor data of harvested corn in Been Field
2. BennettYield2012_2016, Bennett Field yields for 2012-2016 field seasons
	a. 2012 Corn.csv, Yield monitor data of harvested corn in Bennett Field
	b. 2013 Soybeans.csv, Yield monitor data of harvested soybean in Bennett Field
	c. 2014 Corn.csv, Yield monitor data of harvested corn in Bennett Field
	d. 2015 Soybeans.csv, Yield monitor data of harvested soybean in Bennett Field
	e. 2016 Corn.csv, Yield monitor data of harvested corn in Bennett Field
3. ModelInput\Weather, input weather files (.csv) with varied precipitation scenarios to run the model
	a. Observed, 2002-2016 weather files (one .csv per year)
	b. Low, 2002-2016 weather files (one .csv per year)
	c. Mid, 2002-2016 weather files (one .csv per year)
	d. High, 2002-2016 weather files (one .csv per year)
	e. Moderate, 2002-2016 weather files (one .csv per year)
	f. Aggressive, 2002-2016 weather files (one .csv per year)
4. ModelOutput\CornSoyRotation, modeled yield output (.nc) for each precipitation scenario for the corn/soybean rotation
	a. Control, 80 .nc files with the naming convention "fleafi@0#.300000#declfact@0#x#.nc", where x indicates the increase in elevation (e.g. fleafi@0#.300000#declfact@0#0#.nc to fleafi@0#.300000#declfact@0#790.000000#.nc)
	b. Low, see Control
	c. Mid, see Control
	d. High, see Control
	e. Moderate, see Control
	f. Aggressive, see Control
5. ModelOutput\MiscanthusLow, modeled yield output (.nc) for each precipitation scenario for the low drowning threshold miscanthus
	a. Control, 80 .nc files with the naming convention "fleafi@0#999.000000#declfact@0#x#.nc", where x indicates the increase in elevation (e.g. fleafi@0#999.000000#declfact@0#0#.nc to fleafi@0#999.000000#declfact@0#790.000000#.nc)
	b. Low, see Control
	c. Mid, see Control
	d. High, see Control
	e. Moderate, see Control
	f. Aggressive, see Control
6. ModelOutput\MiscanthusHigh, modeled yield output (.nc) for each precipitation scenario for the high drowning threshold miscanthus
	a. Control, 80 .nc files with the naming convention "fleafi@0#999.000000#declfact@0#x#.nc", where x indicates the increase in elevation (e.g. fleafi@0#999.000000#declfact@0#0#.nc to fleafi@0#999.000000#declfact@0#790.000000#.nc)
	b. Low, see Control
	c. Mid, see Control
	d. High, see Control
	e. Moderate, see Control
	f. Aggressive, see Control
7. DomainDEMMatrix.csv, A file containing the pothole domain elevations used to assign yield values
8. Lettuce_LAI.csv, A file containing Lettuce LAI values with GPS coordinates.

## METHODS AND DATA PROCESSING
  
See Edmonds et al., (2021) Planting miscanthus instead of row crops may increase the productivity and economic performance of farmed potholes, for more specific information on the methods used in deriving precipitation scenarios, weather data, and specific model runs.

1). Data Collection
	a. Observed yield data was collected via combine at 1-second intervals using a factory installed yield monitor on a John Deere S670 combine.
	b. Leaf Area Index (LAI) was collected by hand using a Li-COR LAI-2200C Plant Canopy Analyzer and walking through the domain of interest at ca. 3 m spacing. 
	c. An observed 15 year (2002-2016) weather record was taken from a local weather station to obtain hourly values for solar radiation, temperature, relative humidity, precipitation, and wind speed in order to run the model.
	d. Model simulations produced yield outputs at varied elevations for the 15 year period under different precipitaiton scenarios and cropping systems (see File List Sections 4, 5, and 6). 

2). Data Processing
	a. Yield monitor data was imported raw into ArcGIS to generate spatial yield maps.
	b. LAI was imported into ArcGIS and interpolated using Kriging to generate a spatial map.
	c. For a complete weather timeseries, if a data gap of one hour was missing, an average for the missing variable was calculated by using data from the hour before and the hour after. For any data gaps longer than one hour, an average was taken between two other local stations to fill that gap.
	d. Modeled yield per scenario was read directly into MATLAB in order to generate a 3 m resolution spatial yield map based on a 3 m DEM of the domain (see DomainDEMMatrix.csv).

### SOFTWARE

Name: AgroIBIS-VSF
System Requirements: Linux based computing system
URL: Available upon request
Developer: Soylu, M. E., C. J. Kucharik, and S. P. Loheide II (2014), Influence of groundwater on plant water use and productivity: Development of an integrated ecosystem: Variably saturated soil water flow model, Agric. For. Meteorol., 189–190, 198–210, doi:10.1016/j.agrformet.2014.01.019.
Additional Notes: 

### EQUIPMENT

Manufacturer: LI-COR
Model: LAI-2200C Plant Canopy Analyzer

### LICENSING 

This work is licensed under the Creative Commons Attribution (CC-BY) 4.0 International License. 
For more information visit: [https://creativecommons.org/licenses/by/4.0](https://creativecommons.org/licenses/by/4.0)