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Moirai Version 3: A Data Processing System to Generate Recent Historical Land Inputs for Global Modeling Applications at Various Scales Cover

Moirai Version 3: A Data Processing System to Generate Recent Historical Land Inputs for Global Modeling Applications at Various Scales

Open Access
|Jan 2020

Figures & Tables

Table 1

Raster inputs (these have been accessed in June 2018 unless noted otherwise).

DataDetailsSource
Crop yield and harvested area5 arcmin,
175 crops-same as GTAP,
circa 2000,
area provided as fraction of land area in grid cell
Monfreda et al., 2008;
http://www.earthstat.org/data-download/
Cropland physical extent5 arcmin,
circa 2000,
provided as fraction of land area in grid cell
Ramankutty et al., 2008;
http://www.earthstat.org/data-download/
Irrigated and rainfed crop harvested area5 arcmin, hectares,
26 crop classes,
circa 2000
Portmann et al., 2010;
https://www.uni-frankfurt.de/45218031/data_download/
Crop water footprint data5 arcmin, mm/yr,
18 crop types,
3 water types,
circa 2000
Mekonnen and Hoekstra, 2011;
http://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/
Fraction of land area in grid cell for crop and water footprint data above5 arcmin,
spherical earth with
WGS84 mean radius
D. Plouff and N. Ramankutty provided these data corresponding to the above cropland data (in late 2013). Note that these are the same data used to provide the area values in the current crop yield and harvested area data above
Potential vegetation5 arcmin,
thematic,
15 vegetation types, circa 2000 if no historical land use had occurred
Ramankutty and Foley, 1999;
http://www.earthstat.org/data-download/
Land use area5 arcmin, km2,
1700-2016 (decadal up to 2000),
HYDE 3.2.000 baseline,
12 land use types
Klein Goldewijk et al., 2017;
ftp://ftp.pbl.nl/hyde/hyde3.2/2017_beta_release/
Land area in grid cell5 arcmin, km2,
circa 2000,
spherical earth with WGS84 mean radius,
with Greenland and several arctic islands added based on fraction of land area in grid cell for crop area and potential vegetation;
this is the working grid
Klein Goldewijk et al., 2017;
ftp://ftp.pbl.nl/hyde/hyde3.2/2017_beta_release/
Total grid cell area5 arcmin, km2,
spherical earth with WGS84 mean radius,
with Greenland and several arctic islands added based on fraction of land area in grid cell for crop area and potential vegetation;
this is the working grid
Klein Goldewijk et al., 2017;
ftp://ftp.pbl.nl/hyde/hyde3.2/2017_beta_release/
234 Country boundaries5 arcmin,
from VMAP0 vector data (the source of FAO country boundaries),
added East Timor based on a map,
and merged some countries to reflect FAO data
VMAP0: http://gis.ess.washington.edu/data/raster/GlobalData/ (last accessed in 2013, now restricted to UW, but these data are currently available in four parts at http://gis-lab.info/qa/vmap0-eng.html);
Original AEZ boundaries5 arcmin,
1961–1990 data,
160 country boundaries,
GTAP Land Use Database, Release 2.1
Lee et al., 2005; Lee et al., 2009; Monfreda et al., 2009; https://www.gtap.agecon.purdue.edu/resources/res_display.asp?RecordID=1900
Output Geographic Land Unit (GLU) boundaries5 arcmin,
thematic,
235 water basins
Developed for the water module of the Global Change Assessment Model, aggregated from a 1/8-degree global watershed data set
Land cover area datahalf-degree,
1800–2016 (decadal up to 2000),
23 land cover types,
fraction of grid cell and grid cell area
Produced specifically for Moirai using HYDE 3.2.000 data;
http://climate.atmos.uiuc.edu/atuljain/availabledata.html;
Previous public version available here: https://www.atmos.illinois.edu/~meiyapp2/datasets.htm (Meiyappan and Jain, 2012)
Protected land area5 arcmin,
thematic,
protected or not-protected
Derived from a previous version of the World Database on Protected Areas;
(current version available at: https://www.iucn.org/theme/protected-areas/our-work/world-database-protected-areas)
Table 2

Text inputs as comma separated value files (these have been accessed in June 2018 unless noted otherwise).

DataDetailsSourcea
87 economic regionsTabular,
GTAP Land Use Database, Release 2.1
Lee et al., 2005; Lee et al., 2009; Monfreda et al., 2009; https://www.gtap.agecon.purdue.edu/resources/res_display.asp?RecordID=1900
Land rent for 13 use sectorsTabular,
87 regions by 18 AEZs,
GTAP Land Use Database, Release 2.1
Lee et al., 2005; Lee et al., 2009; Monfreda et al., 2009; https://www.gtap.agecon.purdue.edu/resources/res_display.asp?RecordID=1900
FAO 235 countriesTabular,
with some added countries to match the VMAP0 data, there are two input files containing these data: one maps the countries to the economic regions and the other maps the countries to the raster country data
http://faostat.fao.org/; accessed Aug 2013
Geographic Land Unit (GLU) listThematic codes and names for the GLU raster dataDeveloped for the water module of the Global Change Assessment Model, aggregated from a 1/8-degree global watershed data set
GCAM region listNames and integer codes for GCAM regions,
used in some diagnostics
GCAM
Country to GCAM region mappingCross-reference table mapping FAO countries to GCAM regionsFAO country and GCAM region data
HYDE3.2.000 listThematic codes and names for HYDE3.2.000 raster dataKlein Goldewijk et al., 2017;
ftp://ftp.pbl.nl/hyde/hyde3.2/2017_beta_release/
Land cover to land use mappingCross-reference table mapping land cover to potential vegetation and land useLand cover, land use, and potential vegetation data
GTAP product use listTabular,
Codes and names for 13 GTAP
use sectors
Lee et al., 2005; Lee et al., 2009; Monfreda et al., 2009; https://www.gtap.agecon.purdue.edu/resources/res_display.asp?RecordID=1900
175 crop to FAO crop and GTAP use mappingCross-reference table mapping 175 crops to FAO crops to GTAP use175 Crop, FAO crop, and GTAP use data
FAO production dataTabular,
up to 169 crops,
1997–2007
http://faostat.fao.org/faostat/; accessed July 2018
FAO yield dataTabular,
up to 160 crops,
1997–2007,
for diagnostics only
http://faostat.fao.org/faostat/; accessed July 2018
FAO harvested area dataTabular,
up to 161 crops,
1997–2007,
for year recalibration only
http://faostat.fao.org/faostat/; accessed July 2018
FAO Crop producer prices dataTabular,
up to 205 crops,
1997–2007
http://faostat.fao.org/faostat/; accessed July 2018
USD-year conversion listFactors to convert input FAO 2005 USD to output 2001 USDDerived from consumer price index centered at 1982–1984 (https://www.bls.gov/cpi/data.htm)
Potential vegetation listThematic codes and names for potential vegetation raster dataRamankutty and Foley, 1999;
http://www.earthstat.org/data-download/
Vegetation carbon density for potential vegetationAverage vegetation carbon densities for the potential vegetation typesLiterature review
Soil carbon density for potential vegetationAverage soil carbon densities for the potential vegetation typesLiterature review
Figure 1

Spatial basis of the Moirai land data system and pathways to five outputs (the irrigated and rainfed data are output as separate files). The Geographic Land Units (GLUs) are defined by the user. Ovals are raster data (all at 5 arcmin except for the land cover/use data, which are at half-degree), hexagons are tabular data, boxes are processes, and the outputs are in underlined, bold lettering within bold hexagons.

Figure 2

Processing three primary Moirai outputs. Recalibration of crop data year occurs before aggregation, and recalibration of land rent price year occurs before land rent calculation. Ovals are raster data (all at 5 arcmin except for the land cover/use data, which are at half-degree), hexagons are tabular data, boxes are processes, and the outputs are in underlined, bold lettering within bold hexagons.

Figure 3

Evaluation of Moirai crop production and harvested area outputs at the country level, using water basins as the Geographic Land Units (GLUs). a) Wheat harvested area Cumulative Distribution Function (CDF), b) Wheat production CDF, c) mean of Moirai versus GTAP and FAO versus GTAP harvested area regressions for 93 and 88 crops, respectively, with n >= 20, d) like (c) but for production.

Figure 4

Evaluation of Moirai land rent output0 at the intersection of the original 18 Agro-Ecological Zones (Original and Moirai GLUs) and the 87 GTAP economic regions. a) Forestry land rent, b) Wheat land rent, c) mean of Moirai versus GTAP regressions for 12 land use sectors.

DOI: https://doi.org/10.5334/jors.266 | Journal eISSN: 2049-9647
Language: English
Submitted on: Mar 5, 2019
Accepted on: Dec 20, 2019
Published on: Jan 15, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Alan V. Di Vittorio, Chris R. Vernon, Shijie Shu, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.