FACCE-JPI

Joint Programming Initiative—ERAnet Coordination and Support Action

• fundingfor JPI governingboard, scretariat, scientificadvisoryboard, JPI meetings

Food Security

Climate Change

Agri-culture

adaptation

mitigationFACCE JPI

Operating within GHG, Operating within GHG, energy & energy & contaminants limitscontaminants limits

Responding to a Responding to a globallygloballyincreasedfooddemandincreasedfooddemand

Assessing and Assessing and raisingbiologicalraisingbiologicalresource use efficiencyresource use efficiency

Building resilienceBuilding resiliencein agricultural in agricultural systemssystems

FACCE-JPI structureGoverning

Board(21 countries)

Scientific Advisory Board

(12 members)

FACCE JPI Secretariat supports GB & SAB

elects

Scientific Research Agenda

Stakeholder Advisory Board

Stakeholder Consultation

Implementation

Core Research Themes1. Integrated assessment of food

security2. Sustainable intensification3. Tradeoffs with ecosystem

services4. Adaptation to climate change5. GHG mitigation

Knowledge Hubs

FACCE-JPI core themes

1.Integrated assessment of food security

2. Sustainable intensification3. Tradeoffs with ecosystem services4. Adaptation to climate change5. GHG mitigation

FACCE-JPI Knowledge Hub

FACCE Knowledge Hubs

• An instrument building on the concept of “Networks of excellence”

• Brings together research groups that already have funding in an thematic area

• The support given can be coordination costs, travel expenses and thematic workshops. Countries may choose to support research and/or mobility.

FACCE MACSUR expectations

• Detailed climate change risk assessment for European agriculture: how will climate variability and change affect regional farming systems in near and far future?

• What are the risks and the opportunities for European agriculture and food security?

• An ensemble of crop and livestock models will be benchmarked, inter-compared and coupled to both climatic and economic models in collaboration with the international project AgMIP.

MACSUR — Modelling European AgriculturewithClimate Change for Food Security

FACCE MACSUR

16 countries•Austria•Belgium•Czech Rep.•Denmark•Estonia•Finland•France•Germany

•Israel•Italy •The Netherlands•Norway•Poland•Romania•Spain•Sweden•UK

© EuroGeographics for the administrative boundaries

FACCE MACSUR

• Project started 1 June, 2012; runs 3 yrs

• individual partners start June–August 2012

• Kickoff-Workshop—15/16 October 2012, Berlin

FACCE MACSUR

• Coordination & Cross-cutting (Hub)— Martin Banse (vTI), Richard Tiffin (U Reading)

• Crop modelling (CropM)— Frank Ewert (U Bonn), Raimund Rötter (MTT)

• Socio-economic modelling (TradeM)— Floor Brouwer (U Wageningen), Franz Sinabell (WIFO)

• Livestock modelling (LiveM)— Michael Abberton (Aberystwyth U), JAC Meijs (U Wageningen)

FACCE MACSUR structureCoordination of Knowledge Hub

CropM

TradeM

LiveM

Capacity building

Meth

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olo

gic

al

case

stu

die

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Reg

ion

al p

ilot

stu

die

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Cross-cutting activities

Science excellence

Network activity

FACCE MACSUR structureCoordination of Knowledge Hub

CropM

TradeM

LiveM

Capacity building

Meth

od

olo

gic

al

case

stu

die

s

Reg

ion

al p

ilot

stu

die

s

Cross-cutting activities

Science excellence

Network activity

FACCE MACSUR structureCoordination of Knowledge Hub

CropM

LiveM

Capacity building

Meth

od

olo

gic

al

case

stu

die

s

Reg

ion

al p

ilot

stu

die

s

Cross-cutting activities

Science excellence

Network activityTradeM

FACCE MACSUR structureCoordination of Knowledge Hub

CropM

Capacity building

Meth

od

olo

gic

al

case

stu

die

s

Reg

ion

al p

ilot

stu

die

s

Cross-cutting activities

Science excellence

Network activityTradeM

LiveM

MACSUR–CropM

WP1

Model intercomparison (develop protocols; extend sites, crops)

Christian Kersebaum (DE)Marco Bindi (IT)

WP2

Model improvements through generating and compiling data

JørgenOlesen (DK)MirekTrnka (CZ)

WP3

Scaling methods and model linking

Frank Ewert (DE),Sander Janssen (NL),Martin van Ittersum (NL)

WP4

Scenario development and impact uncertainty analysis

Reimund Rötter (FI), Daniel Wallach (FR), M Semenov (UK), Mike Rivington (UK)

WP5

Capacity building John R Porter (DK)

WP6

Case studies on impact assessment (cross cutting theme)

Jan Verhagen (NL) Derek Stewart (UK)

MACSUR–TradeM

WP1

Existing tools, data, and models

Waldemar Bojar (PL)

WP2

Improved tools, data, and models

ØyvindHoveid (NO)

WP3

Cross-cutting issues in regional pilot studies

Gabriele Dono (IT)

WP4

Capacity building Katharina Helming (DE)

MACSUR–LiveM

WP1

Building and exploring datasets and climate models on climate change in relation to livestock and grassland

Jacqui Matthews (UK)

WP2

Modelintercomparisonon climatechange in relation to livestock and grassland

Gianni Bellocchi (FR)

WP3

Improvingtheassessment of climatechangeimpact on livestock and grassland at farmlevel

Nicholas Hutchings (UK)

WP4

Contribution to cross-cuttingactivitieswithintegratedstudies at regional level

Tommy Dalgaard (DK)

MACSUR–Hub

WP1

Facilitation of regional pilot studies

Richard Tiffin (UK)

WP2

Capacity building across models and themes

Martin Banse (DE)

WP3

Coordination of research agenda and international collaboration

Martin Banse (DE)

MACSUR approach

0 Scenarios defining boundary conditions for all themes• climate change, land use, CAP strategies• level of uncertainty acceptable to stakeholders

1 Inventory of data sets and models; benchmarking and improvement of models; ensemble model runs

2 Advancement across two themes tested on methodological case studies

3 Questions of impact answered by regional pilot studies (linked to stakeholders) across three themes

CropM

TradeM

LiveM11

2

1

322

0

MACSUR questions

• How does European agriculture adapt to climate change and what are its impacts on food security?

• How does CAP contribute to increasing food security?

• What are the effects of competing demands of land use on food security?

MACSUR emphasis

• crop rotations• integration across themes• micro (plot) to macro (market) levels• diversity in soil, climate, and systems• training of integrative modellers• knowledge exchange & international

collaborationAgMIP AgTrialsFoodSecure

AnimalChange

MultiSward

CCAFS

Different scales ~ different models

• farm-level models, diverse approaches—FAMOS, MODAM, mathematical farm

investment models

• regional and national models—optimization of investment, resource use, or

food security

• international and global models—international trade and policies

• sector models (farm-EU-global)

MACSUR answers

1 Each theme advances existing methodology by benchmarking and improvement of models using common data sets and scenarios.

2 Advancement across two themes is tested on methodological case studies.

3 Advancement across three themes is achieved by regional pilot studies (linked to stakeholders) to answer questions of impact.

CropM

TradeM

LiveM11

2

1

322

Integrated assessment

• build on good modules of existing models

• increase number of farm types• use stochastic methods to reflect

food production and climate • bottom-up variability• top-down boundary conditions• no detailed all-purpose model

possible

MACSUR int’l cooperation

Sharing of scenarios, protocols, and data—AgMIP—AgTrials—FoodSecure—AnimalChange—MultiSward—CCAFS

MACSUR emphasizes•crop rotations•integration across themes•micro and macro levels•European diversity in soil, climate, and systems.•knowledge exchange & collaboration•training of integrative modellers