GLOBIOM Input Data · Aline Mosnier Ecosystems Services and Management Program Laxenburg, Austria, 8th September 2014 . Spatial resolution Laxenburg, Austria, 8th September 2014

GLOBIOM Input Data

Aline Mosnier

Ecosystems Services and Management Program

www.globiom.org

Laxenburg, Austria, 8th September 2014

Spatial resolution

Laxenburg, Austria, 8th September 2014

All spatially explicit data in the

model are harmonized at the

simulation unit level (212 707 in

total)

Simulation Units present

comparable biophysical

conditions Climate

Altitude

Elevation

Soil type

3

Spatial resolution

CROPS

FORESTS

Source: Global Land Cover 2000

Spatial resolution

4

Simulation Units delineation:

Spatial resolution

5

SIMU = [Country, ALLCOLROW, ALTICLASS, SLOPECLASS, SOILCLASS]

SIMU1 = [Canada, CR100072, Alti1_0, Slp1_0, Soil1_Sandy]

• CR100072: latitude and longitude

• Alti1_0 : altitude between 0 and 300m

• Slp1_0: slope between 0 et 3 degrees,

• Soil1_Sandy: sandy soil

Spatial resolution

6

Reference unit to compute crop productivity potentials in EPIC

Flexibility of aggregation => but has to be decided at the very

beginning of the project, before the model is run

Trade-offs between computational time and fine spatial resolution

level

In REDD-PAC, for the Congo Basin and Brazil the spatial resolution

is [Country, ALLCOLROW, AEZCLASS]

>3000 pixels for Brazil

>1550 pixels for the Congo Basin (6 countries)

Input data categories

Laxenburg, Austria, 8th September 2014

Land characteristics

06/10/2014 Name - Title 8

1. Land characteristics1.1. Topography

1.2. Climate

1.3. Vegetation

1.4. Transportation

1.5. Administrative units

1.6. Population

HRUs

Land cover map

• Cropland • Managed Forest • Natural forests • Pasture • Other Natural land • Short rotation

plantations

Internal transportation costs

Mapping between administrative units and

simulation units

Crop productivity

Global land database

Initial land cover (GLC 2000)

CROPLAND FORESTS

GRASSLAND OTHER NATURAL LAND

Land cover types

10

The sum of land cover

classes in a pixel should be

equal to the total land area

in the pixel

Or

The sum of the shares of

each land cover must be

equal to 1 in a pixel

Production data

06/10/2014 Name - Title 11

2. Productive use of land2.1. Crops

2.2. Livestock

2.3. Managed forests

2.4. Short rotation plantations (SRP)

2.5. Oil and Mining

Production quantity Area (total ha, map)

Productivity Production costs

Input use

Mainly through national statistics

CR

OP

LAN

D

= su

m o

f al

l cro

ps

PAST

UR

E

=su

m o

f al

l ru

min

ants

n

eed

s

GLOBIOM Products

AGRICULTURE FORESTRY BIOENERGY

Wheat

Rice Maize

Soybean Barley

Sorghum Millet Cotton

Dry beans Rapeseed

Groundnut Sugarcane Potatoes Cassava

Sunflower Chickpeas Oil Palm

Sweet potatoes

Buffalo Cattle Sheep Goat Pig

Poultry

Beef Lamb Pork

Poultry Eggs Milk

Biomass for log production Fuel wood

Other wood

Pulp wood Logs

Ethanol FAME

Methanol Heat

Electricity Biogas

Land cover harmonization

06/10/2014 Name - Title 13

GLC2000 land cover classes

GLOBIOM land cover classes

GLOBIOM land use classes

Harmonization with other sources

Cultivated and managed area,

Cropland Cropland IFPRI 18 GLOBIOM-modeled crops distribution maps

Mosaic cropland/tree/other natural vegetation,

FAO harvested area by region (average 1998-2002)

Mosaic cropland/shrub/grassland

Other agricultural land

Difference between GLC cropland area and 18 GLOBIOM modeled crops area

Herbaceous cover Grassland Grazed pastures Livestock distribution maps from FAO-ILRI

Shrub cover, sparse herbaceous or sparse shrub cover

Other natural land Short rotation tree plantations

Other natural land

Difference between GLC grassland plus other natural land minus grazing requirements area and minus short rotation tree plantation area

All forests except tree cover flooded

Forests Managed forests

FAO managed forest area by region (average 1998-2002)

Natural forests Difference between GLC Forests and Managed forests area

Tree cover flooded, Wetlands Wetlands

Regularly flooded shrub or herbaceous cover

Bare Areas, Water bodies, Snow and ice, Artificial surfaces and associated areas, No data

Not Relevant None

Productivity

14

• Crop yield (tonne/ha)

• Input use (kg/ha)

• Water use

• Grass yield (tonne/ha)

CROPS PASTURES

EPIC model

FORESTS

• Sawn wood (m3/ha)

• Fuel wood (m3/ha)

• Pulp wood (m3/ha)

PLANTATIONS

• Wood for pulp (m3/ha)

• Fuel wood (m3/ha)

Production

15

𝑃𝑟𝑜𝑑𝑢𝑐𝑡𝑖𝑜𝑛𝑝,𝑟

= 𝐴𝑟𝑒𝑎𝑐,𝑖,𝑠. 𝑃𝑟𝑜𝑑𝑢𝑐𝑡𝑖𝑣𝑖𝑡𝑦𝑐,𝑖,𝑠𝑐/𝑟,𝑖,𝑠

p: product

r: region

c: country

i: pixel

s: system

Exogenous drivers

06/10/2014 Name - Title 16

4. Exogenous drivers4.1. Population and GDP growth

4.2. Bioenergy demand

4.3. Technological change

4.4. Food diets

Food diets projections

17

Technological change

18

Based on historical trends (FAO 1990-2010)

GHG accounting

06/10/2014 Name - Title 19

Sector Source GHG Reference

Land use change

Deforestation CO2 FRA 2005 carbon in above ground and below ground living biomass downscaled at 0.5 degree (Kindermann et al. 2008)

Land use change

Conversion of other vegetation types

CO2 Ruesch and Gibbs (2008)

Crops Phosphorous and Nitrogen use

N2O Requirements from EPIC/IFA, emission coefficients from RFA

Crops Rice production CH4 Average value per ha from EPA

Livestock Enteric fermentation

CH4

RUMINANT model (Herrero et al. 2008)/IPCC

Livestock Manure management

N2O, CH4

RUMINANT model (Herrero et al. 2008)/IPCC

Livestock Manure in pastures N2O RUMINANT model (Herrero et al. 2008)/IPCC

Fossil fuel substitution

CO2

RFA 2008

GHG accounting

06/10/2014 Name - Title 20

Large uncertainty in

carbon biomass data

Other input data

06/10/2014 Name - Title 21

6. Biodiversity and conservation6.1. Species

6.2. KBAs

6.3. Protected areas

8. Policies8.1. Targeted on forests and/or

conservation

8.2. Not targeted on forests and/or

conservation

7. Validation of the results

7.1. Quantities

7.2. Land use

7.3. Emissions