agri benchmark a global approach to measure silvopastoral ... · The principle: Typical production...

Dr. Claus Deblitz Global Network of Silvopastoral Systems

Dr. Claus Deblitz

agri benchmark – a global approach to measure silvopastoral systems

agri benchmark Beef and Sheep Network

Evora 27.09.2016

Dr. Claus Deblitz

Practice change and its definition

“Is a significant alteration of a production system against the background of specific objectives”

27.09.2016 Global Network of Silvopastoral Systems

Mitigate greenhouse gas emissions

Contributing to ecosystem services

Reduce overgrazing, erosion and degradation of grasslands

Improve animal welfare

Maintain or increase productivity and profitability

Improve working conditions of producers and their employees

Dr. Claus Deblitz

Information, data and actors required to analyse practice change

27.09.2016

Global Network of Silvopastoral Systems

Knowledge, competence and capacity

Production systems, economics, framework conditions and perspectives

Animal welfare World Animal Protection OTHERS WANTED!

Environment CIPAV GASL, LEAP, GRSB IIASA, OTHERS WANTED!

Social to be confirmed

Dr. Claus Deblitz

Global questions – global approach: We harvest data around the world

Global Network of Silvopastoral Systems 27.09.2016

Participating countries 2015

Contacts for further grwoth

2015 Countries Farms Years in Network

Beef and Sheep 31 109 14

Cash Crop 41 100 11

Horticulture 15 17 5

Pig 10 30 3

Organic 6 10 2

Fish 4 10 2

Dr. Claus Deblitz

One focus – 6 networks


International / global

Comparable

Realistic, quantities, not just prices!

Representative

Up-to-date

Fundable

Feasible

Dr. Claus Deblitz

The principle: Typical production systems and farms


Imagine you have a guest from a foreign country who is interested to see how beef farming is done in your country. You would want to show your guest a farm that is

• … located in an important beef producing region,

• … using the common technology for beef production,

• … running the prevailing production and feeding system,

• … having a not too small and not too big size,

• … using the prevailing combination of labour, land and capital.

In other words, you want to show your guest a typical farm!

Dr. Claus Deblitz

How we collect our data


• Statistics available to determine > important regions

> farm sizes and distribution

According to farm size

Large sized farm

Basis: All farms in a region

%

Farm size

Moderatesized farm

% of farms % of production

• Focus groups of researchers, producers and advisors to > define prevailing production systems

> collect data in a standardised way

• Expertise of researchers + advisors + farmers > define and quantify practice change

> crosscheck the results

Dr. Claus Deblitz Global Network of Silvopastoral Systems 27.09.2016

Total costs and returns of beef production 2015

0

200

400

600

800

1000

1200

AT-

25F

AT-

35A

T-1

20

AT-

175

TC

H-5

5D

E-2

60D

E-2

80D

E-2

85D

E-3

80D

E-5

25T

DE-

800

FR-6

0FR

-70

FR-2

00

ES-4

30

ES-5

20

ES-5

50

0IT

-91

0IT

-26

60T

UK

-45

UK

-80

UK

-90

UK

-750

IE-4

0SE

-10

0SE

-23

0P

L-20

PL-

30C

Z-50

0U

A-2

75

UA

-56

00

RU

-64

0C

A-2

8K

US-

72

00

US-

75

KM

X-1

50

0A

R-3

80

AR

-63

0A

R-8

00

AR

-90

0A

R-2

6K

UY-

90

BR

-35

BR

-60

BR

-24

0B

R-3

00

BR

-50

0B

R-6

80

BR

-80

0B

R-1

75

0C

O-1

30

CO

-16

0C

O-3

50

CO

-52

0C

O-8

00

PE-

170

0P

Y-5

50

PY-

140

0C

N-7

0C

N-1

50

CN

-30

0C

N-9

40

CN

-20

00

ID-2

ID-4

ID-1

00

KZ-

800

AU

-65

AU

-85

AU

-15

0A

U-2

80

AU

-31

0A

U-3

60

AU

-45

0A

U-9

30

NZ-

37

5M

A-2

80

TN-4

5ZA

-30

00

ZA-7

5K

NA

-600

NA

-25K

BW

-200

0

USD per 100 kg carcass weight

Europe Asia Oceania

Americas Africa

Dr. Claus Deblitz Global Network of Silvopastoral Systems 27.09.2016

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

ID-2

ID-4

ES-4

30

ES-5

50

0ES

-52

0M

X-1

50

0ZA

-75

KA

R-9

00

BW

-20

00

ZA-3

00

0P

E-1

70

0N

A-2

5K

CN

-20

00

BR

-68

0A

R-6

30

CN

-94

0A

R-2

6K

CA

-28

KU

S-7

20

0U

S-7

5K

BR

-35

AU

-36

0B

R-2

40

AU

-28

0C

O-1

30

UK

-80

PY-

55

0B

R-6

0A

U-1

50

UY-

90

BR

-30

0U

A-2

75

BR

-80

0N

A-6

00

AU

-65

BR

-17

50

AU

-85

AR

-38

0IE

-40

CO

-52

0A

U-3

10

AU

-45

0C

O-1

60

AR

-80

0B

R-5

00

PY-

14

00

AU

-93

0N

Z-3

75

ID-1

00

SE-2

30

DE-

28

5P

L-3

0C

H-5

5U

K-9

0D

E-2

60

AT-

12

0A

T-3

5D

E-3

80

PL-

20

AT-

25

FC

Z-5

00

AT-

17

5T

DE-

28

0D

E-8

00

UK

-45

RU

-64

0SE

-10

0U

A-5

60

0D

E-5

25

TFR

-70

TN-4

5FR

-60

FR-2

00

KZ-

80

0M

A-2

80

UK

-75

0IT

-26

60

TC

O-8

00

IT-9

10

CN

-70

CN

-30

0C

N-1

50

Other Capital Land Labour Feed Animals

Cost composition by production system

Percentage of total costs

Pasture Feedlot Silage

C&

C

Dr. Claus Deblitz

Analysis steps practice change – example SPS


1. Create a baseline = reference

situation (“without-situation”)

2. Identify and quantify one or more

scenarios, for example SPS

Steps of establishing the change

Investment needs

Feed resources

Labour / land requirements

Performance changes

Price and cost changes

3. Calculate the baseline

and the scenarios

Dr. Claus Deblitz

Dynamic analysis, not just comparative static

27.09.2016

0

1.000

2.000

3.000

4.000

5.000

6.000

7.000

0

5

10

15

20

25

30

Ba

seli

ne

SP

S y

ea

r 1

SP

S y

ea

r 2

SP

S y

ea

r 3

SP

S y

ea

r 4

SP

S y

ea

r 5

SP

S y

ea

r 6

SP

S y

ea

r 7

SP

S y

ea

r 8

SP

S y

ea

r 9

Ba

seli

ne

SP

S y

ea

r 1

SP

S y

ea

r 2

SP

S y

ea

r 3

SP

S y

ea

r 4

SP

S y

ea

r 5

SP

S y

ea

r 6

SP

S y

ea

r 7

SP

S y

ea

r 8

SP

S y

ea

r 9

Ba

seli

ne

SP

S y

ea

r 1

SP

S y

ea

r 2

SP

S y

ea

r 3

SP

S y

ea

r 4

SP

S y

ea

r 5

SP

S y

ea

r 6

SP

S y

ea

r 7

SP

S y

ea

r 8

SP

S y

ea

r 9

La Luisa - Beef finishing Petequi - Dual purpose El Hatico - Tropical dairy

Feed production (tons dry matter per ha)

Land productivity (kg meat or milk per ha)

Kg. meat or milk / ha Tons dry matter/ ha


Dr. Claus Deblitz

Cash-flow and profit impacts in establishment phase

27.09.2016

USD

0

100

200

300

400

500

600

Lín

ea

bas

e

SP

S a

ño

1

SP

S a

ño

2

SP

S a

ño

3

SP

S a

ño

4

SP

S a

ño

5

SP

S a

ño

6

SP

S a

ño

7

SP

S a

ño

8

SP

S a

ño

9

La Luisa - Engorde

Costos totales ('000 US$)

Ingresos totales ('000 US$)

Profitability


Dr. Claus Deblitz

Our future scope in measuring sutainability on farm-level


Farm description Cow-calf producer and beef finisher in Mecklenburg-Vorpommern, Germany

1400 cows and 800 finished animals

Level Productivity Economic Environment Animal

welfare

Indicator

Reference * 10 10 10 10 10 10 10 10

Original value 6 6 9 7 3 9 10 6

Weight 1 1 1 1 1 1 1 1

Weighted value 6,0 6,0 9,0 7,0 3,0 9,0 10,0 6,0

10 10 10 10 10 10 10 10

9 9 9 9 9 9 9 9

8 8 8 8 8 8 8 8

7 7 7 7 7 7 7 7

6 6 6 6 6 6 6 6

5 5 5 5 5 5 5 5

4 4 4 4 4 4 4 4

3 3 3 3 3 3 3 3

2 2 2 2 2 2 2 2

1 1 1 1 1 1 1 1

* Reference can be a set value, an average or quantiles referring to a population or survey

WaterAnimal

welfare

Stocking

rate

Land

productivitMargin Total cost

GHG

EmissionsNutrients

Dr. Claus Deblitz

agri benchmark – passionate about facts

27.09.2016

Dr. Claus Deblitz Thünen Institute of Farm Economics Bundesallee 50 38116 Braunschweig, Germany


Tel.: +49-531-596-5141 Fax: +49-531-596-5199 E-mail: [email protected] Internet: www.agribenchmark.org www.ti.bund.de/bw

agri benchmark a global approach to measure silvopastoral ... · The principle: Typical production...

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