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Production system based global livestock sector modeling: Good news for the future

P. Havlík

1,2

, M. Herrero

2

, H. Valin

1

, A. Mosnier

1,3

, M. Obersteiner

1

, E. Schmid

3

, S. Frank

1,3

, S. Fuss

1

, A.

Notenbaert

3

, U.A. Schneider

4

1International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria

2International Livestock Research Institute (ILRI), Nairobi, Kenya

3University of Natural Resources and Life Sciences (BOKU), Vienna, Austria

4Research Unit Sustainability and Global Change, Hamburg University, Germany

METHODOLOGY

1. General Framework: GLOBIOM

• Partial Equilibrium: Agriculture, Forestry, Bioenergy

• Production functions with high spatial resolution and calibrated by biophysical models

(e.g. RUMINANT) 2. Livestock modeling

• LPS classification including agroecology:

Arid (A), Humid (H), Temperate/highlands (T)

• New datasets developed for systems parameterization + input coefficients (feed baskets)

+ output coefficients (meat & milk productivity,

CH4 emissions, manure production…) and harmonized with FAO country level data

3. Scenario Analysis

REF0 – Livestock production systems structure fixed at 2000 values REF1 – Transition between LG and MX allowed

GLOBIOM

(Global Biosphere Management Model)

SUPPLY DEMAND

Wood

products Bioenergy Food Exogenous drivers

POP, GDP, CC, TC

PX5

Altitude class, Slope class, Soil Class

PX5

Altitude class (m):0 – 300, 300 – 600, 600 – 1200, 1200 – 2500 and > 2500;

Slope class (deg):0 – 3, 3 – 6, 6 – 10, 10 – 15, 15 – 30, 30 – 50 and > 50;

Soil texture class:coarse, medium, fine, stony and peat;

HRU =Altitude & Slope & Soil

LIVESTOCK PRODUCTION SYSTEMS TRANSITION (Western Africa)

1966 – PASTORAL SYSTEM 2004 - MIXED SYSTEM

INTRODUCTION

LIVESTOCK occupy 30% of global surface area

By 2030, consumption is projected to increase by

57% for MILK and by 68% for MEAT (FAO, 2006)

 SUSTAINABLE INTENSIFICATION necessary to avoid large scale land use change

and related GHG emissions and Biodiversity loss LIVESTOCK PRODUCTION SYSTEMS (LPS)

Sere and Steinfeld (1996) differentiate three main LPS i) Grassland based (LG)

ii) Mixed crop-livestock (MX) iii) Landless (LL)

What future LPS transitions

and their role in sustainable intensification? Source: ILRI

For additional information: www.globiom.org and havlikpt@iiasa.ac.at EPIC

G4M RUMINANT

140 120 100 80 60 40 120 100 80 60 40

observed intakes (g/kg BW0.75) predicted intakes (g/kg BW0.75)

soto pred l and m pred shem pred kaitho pred manyuchi pred Kariuki pred Euclides pred j and h pred l and f pred fall pred

SIMU 28 regions

RESULTS

1. Dairy herd expansion will mostly occur in Mixed systems.

2. In Latin America and Mid-East North Africa, slight decreases in grassland based systems (LG) likely (REF1)

while in Arid zones of SubSaharan Africa LG systems preferred 3. LPS structure adjustments (REF1) lead to

a) higher land use efficiency in the most land intensive regions

14% less deforestation and 20% less Other Natural Land loss b) Lower food prices

CONCLUSION

1. Rigid LPS structure socially and environmentally unsustainable 2. Neglecting LPS adjustments in economic modeling may lead to

overestimation of negative effects of increased livestock production 3. LPS structure adjustments are only ONE component of sustainable

intensification, other options need to be explored

Energy intake by ruminants

Milk production Bovine density

Source: GLW – FAO (2007)

Source: Herrero, Havlík, et al. (Forthcoming)

Dairy herd change 2000-2030

Mio TLUs

-20 0 20 40 60 80

-20 0 20 40 60 80

LGA LGH LGT MXA MXH MXT

REF1REF0

EUR

REF1REF0

CIS

REF1REF0

OCE

REF1

REF0

NAM

REF1REF0

LAM

REF1REF0

EAS

REF1REF0

SEA

REF1REF0

SAS

REF1REF0

MNA

REF1REF0

SSA

Land intensity of milk production in 2030

Ha per ton proteins

0 100 200 300 400

REF0 REF1

EUR CIS OCE NAM LAM EAS SEA SAS MNA SSA WLD

Price changes 2000-2030

Percent

0 20 40 60 80 100

REF0 REF1

CROPS RUMINANT

MEAT

MONOGASTRIC

MEAT MILK

Mha

-300 -200 -100 0 100 200 300

Land use change 2000-2030

-300 -200 -100 0 100 200

300 EUR

CIS OCE NAM LAM

EAS SEA SAS MNA SSA

REF0 REF1

CROPLAND

REF0 REF1

GRASSLAND

REF0 REF1

NATURAL

REF0 REF1

PLANTATION

REF0 REF1

FOREST LAND

Further reading: Havlík, P., Valin, H., Mosnier, A., Obersteiner, M., Baker, J.S., Herrero, M., Rufino, M.C., Schmid, E. (Forthcoming). Crop Productivity and the Global Livestock Sector: Implications for Land Use Change and Greenhouse Gas Emissions. American Journal of Agricultural Economics: in press.

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