A methodology for enhanced flexibility of integrated assessment in agriculture
F. Ewert
(1, 2)
,
M. Van Ittersum
(1)
,
I. Bezlepkina
(1)
,
Olivier Therond
(3, 4)
,
E. Andersen
(5)
,
Hatem Belhouchette
(6, 7)
,
C. Bockstaller
(8)
,
F. Brouwer
(1)
,
T. Heckelei
(2)
,
S. Janssen
(1)
,
R. Knapen
(1)
,
M. Kuiper
(1)
,
K. Louhichi
(7)
,
J. Alkan Olsson
(1)
,
N. Turpin
(9)
,
J. Wery
(6)
,
J.E. Wien
(1)
,
J. Wolf
(1)
1
WUR -
Wageningen University and Research [Wageningen]
2 Universität Bonn = University of Bonn
3 INRA - Institut National de la Recherche Agronomique
4 AGIR - AGroécologie, Innovations, teRritoires
5 UCPH - University of Copenhagen = Københavns Universitet
6 UMR SYSTEM - Fonctionnement et conduite des systèmes de culture tropicaux et méditerranéens
7 CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier
8 LAE - Laboratoire Agronomie et Environnement
9 IRSTEA - Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture
2 Universität Bonn = University of Bonn
3 INRA - Institut National de la Recherche Agronomique
4 AGIR - AGroécologie, Innovations, teRritoires
5 UCPH - University of Copenhagen = Københavns Universitet
6 UMR SYSTEM - Fonctionnement et conduite des systèmes de culture tropicaux et méditerranéens
7 CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier
8 LAE - Laboratoire Agronomie et Environnement
9 IRSTEA - Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture
F. Ewert
- Fonction : Auteur
- PersonId : 861642
Olivier Therond
- Fonction : Auteur
- PersonId : 172120
- IdHAL : olivier-therond
- ORCID : 0000-0003-0191-3509
- IdRef : 185824447
Hatem Belhouchette
- Fonction : Auteur
- PersonId : 170120
- IdHAL : hatem-belhouchette
- ORCID : 0000-0002-4498-0392
- IdRef : 114571627
C. Bockstaller
- Fonction : Auteur
- PersonId : 734945
- IdHAL : christian-bockstaller
- ORCID : 0000-0001-8880-4908
- IdRef : 094830606
K. Louhichi
- Fonction : Auteur
- PersonId : 1152233
- IdHAL : kamel-elouhichi
- IdRef : 05025037X
Résumé
Agriculture is interrelated with the socio-economic and natural environment and faces increasingly the problem of managing its multiple functions in a sustainable way. Growing emphasis is on adequate policies that can support both agriculture and sustainable development. Integrated Assessment and Modelling (IAM) can provide insight into the potential impacts of policy changes. An increasing number of Integrated Assessment (IA) models are being developed, but these are mainly monolithic and are targeted to answer specific problems. Approaches that allow flexible IA for a range of issues and functions are scarce. Recently, a methodology for policy support in agriculture has been developed that attempts to overcome some of the limitations of earlier IA models. The proposed framework (SEAMLESS-IF) integrates relationships and processes across disciplines and scales and combines quantitative analysis with qualitative judgments and experiences. It builds on the concept of systems analysis and attempts to enable flexible coupling of models and tools. The present paper aims to describe progress in improving flexibility of IAM achieved with the methodology developed for SEAMLESS-IF. A brief literature review identifying limitations in the flexibility of IAM is followed by a description of the progress achieved with SEAMLESS-IF. Two example applications are used to illustrate relevant capabilities of SEAMLESS-IF. The examples refer to (i) the impacts on European agriculture of changes in world trade regulations and (ii) regional impacts of the EU Nitrates Directive in combination with agro-management changes. We show that improving the flexibility of IAM requires flexibility in model linking but also a generic set up of all IA steps. This includes problem and scenario definition, the selection and specification of indicators and the indicator framework, the structuring of the database, and the visualization of results. Very important is the flexibility to integrate, select and link models, data and indicators depending on the application. Technical coupling and reusability of model components is greatly improved through adequate software architecture (SEAMLESS-IF uses OpenMI). The use of ontology strongly supports conceptual consistency of model linkages. However, the scientific basis for linking models across disciplines and scales is still weak and requires specific attention in future research. We conclude that the proposed framework significantly advances flexibility in IAM and that it is a good basis to further improve integrated modelling for policy impact assessment in agriculture.
Format du dépôt | Notice |
---|---|
Type de dépôt | Article dans une revue |
Titre |
en
A methodology for enhanced flexibility of integrated assessment in agriculture
|
Résumé |
en
Agriculture is interrelated with the socio-economic and natural environment and faces increasingly the problem of managing its multiple functions in a sustainable way. Growing emphasis is on adequate policies that can support both agriculture and sustainable development. Integrated Assessment and Modelling (IAM) can provide insight into the potential impacts of policy changes. An increasing number of Integrated Assessment (IA) models are being developed, but these are mainly monolithic and are targeted to answer specific problems. Approaches that allow flexible IA for a range of issues and functions are scarce. Recently, a methodology for policy support in agriculture has been developed that attempts to overcome some of the limitations of earlier IA models. The proposed framework (SEAMLESS-IF) integrates relationships and processes across disciplines and scales and combines quantitative analysis with qualitative judgments and experiences. It builds on the concept of systems analysis and attempts to enable flexible coupling of models and tools. The present paper aims to describe progress in improving flexibility of IAM achieved with the methodology developed for SEAMLESS-IF. A brief literature review identifying limitations in the flexibility of IAM is followed by a description of the progress achieved with SEAMLESS-IF. Two example applications are used to illustrate relevant capabilities of SEAMLESS-IF. The examples refer to (i) the impacts on European agriculture of changes in world trade regulations and (ii) regional impacts of the EU Nitrates Directive in combination with agro-management changes. We show that improving the flexibility of IAM requires flexibility in model linking but also a generic set up of all IA steps. This includes problem and scenario definition, the selection and specification of indicators and the indicator framework, the structuring of the database, and the visualization of results. Very important is the flexibility to integrate, select and link models, data and indicators depending on the application. Technical coupling and reusability of model components is greatly improved through adequate software architecture (SEAMLESS-IF uses OpenMI). The use of ontology strongly supports conceptual consistency of model linkages. However, the scientific basis for linking models across disciplines and scales is still weak and requires specific attention in future research. We conclude that the proposed framework significantly advances flexibility in IAM and that it is a good basis to further improve integrated modelling for policy impact assessment in agriculture.
|
Auteur(s) |
F. Ewert
1, 2
, M. Van Ittersum
1
, I. Bezlepkina
1
, Olivier Therond
3, 4
, E. Andersen
5
, Hatem Belhouchette
6, 7
, C. Bockstaller
8
, F. Brouwer
1
, T. Heckelei
2
, S. Janssen
1
, R. Knapen
1
, M. Kuiper
1
, K. Louhichi
7
, J. Alkan Olsson
1
, N. Turpin
9
, J. Wery
6
, J.E. Wien
1
, J. Wolf
1
1
WUR -
Wageningen University and Research [Wageningen]
( 356395 )
- Droevendaalsesteeg 4, 6708 PB Wageningen
- Pays-Bas
2
Universität Bonn = University of Bonn
( 63690 )
- D-53012 Bonn
- Allemagne
3
INRA -
Institut National de la Recherche Agronomique
( 92114 )
- France
4
AGIR -
AGroécologie, Innovations, teRritoires
( 74637 )
- Centre de Recherches INRA de Toulouse Chemin de Borderouge 31326 CASTANET TOLOSAN
- France
5
UCPH -
University of Copenhagen = Københavns Universitet
( 460939 )
- Nørregade 10, 1165 København, Danemark
- Danemark
6
UMR SYSTEM -
Fonctionnement et conduite des systèmes de culture tropicaux et méditerranéens
( 16794 )
- Montpellier SupAgro, 2 Place Viala, Bât. 27, 34060 Montpellier Cedex 2 - France
- France
7
CIHEAM-IAMM -
Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier
( 455595 )
- 3191 route de Mende, CS43999, 34093 Montpellier cedex 5
- France
8
LAE -
Laboratoire Agronomie et Environnement
( 37896 )
- Université de Lorraine - ENSAIA, 2 avenue de la Forêt de Haye, 54500 Vandoeuvre-les-Nancy
- France
9
IRSTEA -
Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture
( 302049 )
- France
|
Localisation géographique du document |
UMR 1248 UMR INRA / ENSAT : AGrosystèmes et développement terrItoRial, Centre de recherche de Toulouse, 31326 CASTANET-TOLOSAN CEDEX, FRA
|
Version du document |
version éditeur
|
Nom de la revue |
|
Langue du document |
Anglais
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Audience |
Internationale
|
Date de publication |
2009
|
Numéro |
5
|
Page/Identifiant |
546-561
|
Volume |
12
|
Public visé |
Scientifique
|
Commentaire |
[Departement_IRSTEA]Territoires [TR1_IRSTEA]DTAM
|
Voir aussi |
|
Indexation contrôlée |
|
Domaine(s) |
|
Commentaire(s) |
|
Mots-clés |
en
FORECASTING, INDICATOR OF SUSTAINABILITY, MODELS, INTERDISCIPLINARITY, SUSTAINABILITY, ONTOLOGY
fr
INTERDISCIPLINARITE, SCENARIO, ONTOLOGIE, INDICATEUR DE DEVELOPPEMENT DURABLE, AGRICULTURE, DURABILITE, EVALUATION, MODELE, PROSPECTIVE
|
DOI | 10.1016/j.envsci.2009.02.005 |
irste@doc (Irstea) | PUB00026630 |
deposit.widget.identifiers.code.meditagri | 30724 |
ProdINRA | 30689 |
UT key WOS | 000269598700002 |
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