Ioannis Athanasiadis bio photo

Ioannis Athanasiadis

Assistant Professor with the Democritus University of Thrace, in Xanthi, Greece

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A web-based software system for model integration in impact assessments of agricultural and environmental policies

- J.-E. Wien - A. E. Rizzoli - R. Knapen - I. N. Athanasiadis - S. Janssen - L. Ruinelli - F. Villa - M. Svensson - P. Wallman - B. Jonsson - M. van Ittersum -

Abstract: The SEAMLESS consortium develops a computerized and integrated framework (SEAMLESS-IF) to assess the impacts on environmental and economic sustainability of a wide range of policies and technological improvements across a number of scales. In SEAMLESS-IF, different type of models are linked into model chains, where each model uses the outputs of another model as its inputs and ultimately indicators are calculated. This type of integrated modelling requires interoperability, which is the ability of two or more systems or components to exchange information and to use the information that has been exchanged. In SEAMLESS, we have developed an ontology to establish a set of shared domain concepts. To support a semantic-aware approach to model integration, all the commonly shared data types in SEAMLESS are declared in the ontology (starting from projects, describing the elements of an impact assessment study, down to the fine detail of the variables exchanged among the models). This is an important shift in the common approach to modelling: modellers specify the data requirements of their models on a higher level, i.e. that of an ontology, which is automatically transformed into a relational database model, to which ``data collecting'' activities need to comply with. SEAMLESS-IF is based on a layered, client-server architecture. The end user interacts with the system by means of two web-based Graphical User Interfaces (GUI) that run as clients. The server-client architecture of SEAMLESS-IF allows for future applications to be developed and linked to the existing server, in order to cater for specific needs of different user groups.


Published as:
J.-E. Wien, A. E. Rizzoli, R. Knapen, I. N. Athanasiadis, S. Janssen, L. Ruinelli, F. Villa, M. Svensson, P. Wallman, B. Jonsson, M. van Ittersum, A web-based software system for model integration in impact assessments of agricultural and environmental policies, Environmental and agricultural modelling: integrated approaches for policy impact assessment, pg. 207-234, 2010, Springer-Verlag, doi:10.1007/978-90-481-3619-3_9.


layout: publication date: 2010-06-01 12:00:00 categories: [publications, chapters]

authors: [K. Louhichi, S. Janssen, A. Kanellopoulos, H. Li, N. Borkowski, G. Flichman, H. Hengsdijk, P. Zander, M. B. Fonseca, G. Stokstad, I. N. Athanasiadis, A. E. Rizzoli, D. Huber, T. Heckelei, M. van Ittersum] title: “A Generic Farming System Simulator”

newid: B-8 bibtexkey: seamless2010fssim year: 2010

booktitle: Environmental and agricultural modelling: integrated approaches for policy impact assessment

pages: 109-132

publisher: Springer-Verlag

doi: 10.1007/978-90-481-3619-3_5

abstract: “The aim of this chapter is to present a bio-economic modelling framework established to provide insight into the complex nature of agricultural systems and to assess the impacts of agricultural and environmental policies and technological innovations. This framework consists of a Farm System Simulator (FSSIM) using mathematical programming that can be linked to a cropping system model to estimate at field level the engineering production and environmental functions. FSSIM includes a module for agricultural management (FSSIM-AM) and a mathematical programming model (FSSIM-MP). FSSIM-AM aims to define current and alternative activities and to quantify their input output coefficients (both yields and environmental effects) using a cropping system model, such as APES (Agricultural Production and Externalities Simulator) and other sources (expert knowledge, surveys, etc.). FSSIM-MP seeks to describe the behaviour of the farmer given a set of biophysical, socio-economic and policy constraints and to predict its reactions under new technologies, policy and market changes. The communication between these different tools and models is based on explicit definitions of spatial scales and software for model integration. The bio-economic modelling framework was designed to be sufficiently generic and flexible in order to be applied for all relevant farming systems across the European Union, easily transferable between different geographic locations, and reusable for different applications. For this chapter, it was tested for a set of farms representing the arable farming systems in two European regions (Flevoland [Netherlands] and Midi-Pyrénées [France]) in order to analyse the current situation and anticipate the impact of new alternative scenarios.” perilipsis: “Το κεφάλαιο περιγράφει ένα βιο οικονομικό μοντέλο που υλοποιήθηκε για τη μελέτη της πολυπλοκότητας των γεωργικών συστημάτων και την αποτίμηση των επιπτώσεων της αγροτικής και περιβαλλοντικής πολιτικής και των τεχνολογικών καινοτομιών. Ο προσομοιωτής αγροτικού συστήματος (Farm System Simulator FSSIM) που αναπτύξαμε αποτελείται από δύο μέρη, ένα για την διαχείριση και ένα για τον προγραμματισμό γεωργικών εκμεταλεύσεων. Το πρώτο είναι ένα συνδιαστικό μοντέλο υλοποιημένο σε Java,και το γεύτερο ένα μοντέλο μαθηματικού προγραμματισμού υλοποιημένο σε GAMS. Στο κεφάλαιο αυτό, επιδεικνύουμε την χρήση του σε καλλιέργειες στην Ολλανδία και τη Γαλλία για την ανάλυση της τρέχουσας κατάστασης και την απότίμηση επιπτώσεων από εναλλακτικά σενάρια πολιτικής.”



layout: publication date: 2010-06-01 12:00:00 categories: [publications, chapters]

authors: [M. Donatelli, G. R. A. E. Rizzoli, M. Acutis, M. Adam, I. N. Athanasiadis, M. Balderacchi, L. Bechini, H. Belhouchette, G. Bellocchi, J.-E. Bergez, M. Botta, E. Braudeau, S. Bregaglio, L. Carlini, E. Casellas, F. Celette, E. Ceotto, M. Hé. Charron-Moirez, R. Confalonieri, M. Corbeels, L. Criscuolo, P. Cruz, A. di Guardo, D. Ditto, C. Dupraz, M. Duru, D. Fiorani, A. Gentile, F. Ewert, C. Gary, E. Habyarimana, C. Jouany, K. Kansou, R. Knapen, G. L. Filippi, P. A. Leffelaar, L. Manici, G. Martin, P. Martin, E. Meuter, N. Mugueta, R. Mulia, M. van Noordwijk, R. Oomen, A. Rosenmund, V. Rossi, F. Salinari, A. Serrano, A. Sorce, G. Vincent, J.-P. Theau, O. Thérond, M. Trevisan, P. Trevisiol, F. K. van Evert, D. Wallach, J. Wery, A. Zerourou] title: “A Component-Based Framework for Simulating Agricultural Production and Externalities”

newid: B-7 bibtexkey: seamless2010apes year: 2010

booktitle: Environmental and agricultural modelling: integrated approaches for policy impact assessment

pages: 63-108

publisher: Springer

doi: 10.1007/978-90-481-3619-3_4

abstract: “Although existing simulation tools can be used to study the impact of agricultural management on production activities in specific environments, they suffer from several limitations. They are largely specialized for specific production activities: arable crops/cropping systems, grassland, orchards, agro-forestry, livestock etc. Also, they often have a restricted ability to simulate system externalities which may have a negative environmental impact. Furthermore, the structure of such systems neither allows an easy plug-in of modules for other agricultural production activities, nor the use of alternative components for simulating processes. Finally, such systems are proprietary systems of either research groups or projects which inhibits further development by third parties. SEAMLESS aims to provide a tool to integrate analyses of impacts on the key aspects of sustainability and multi-functionality, particularly in Europe. This requires evaluating agricultural production and system externalities for the most important agricultural production systems. It also requires a simulation framework which can be extended and updated by research teams, which allows a manageable transfer of research results to operational tools, and which is transparent with respect to its contents and its functionality. The Agricultural Production and Externalities Simulator (APES) is a modular simulation system aimed at meeting these requirements, and targeted at estimating the biophysical behavior of agricultural production systems in response to the interaction of weather and agro-technical management. APES is a framework which uses components that offer simulation options for different processes of relevance to agricultural production systems. Models are described in the associated help files of components, and a shared ontology is built on the web. Components like these, which are designed to be inherently re-usable, that is not targeted specifically to a given modelling framework, also represent a way to share modelling knowledge with other projects and the scientific community in general. This chapter describes the current state of APES development and presents modelling options in the system, and its software architecture.” perilipsis: “Το κεφάλαιο παρουσιάζει το σύστημα προσομοίωσης αγροτικής παραγωγής APES (Agricultural Production and Externalities Simulator). Πρόκειται για ένα νέο εργαλείο που αναπτύχθηκε σε C και ακολουθεί component-based αρχιτεκτονική. Οι συνιστώσες λογισμικού (components) χρησιμοποιούνται για να προσφέρουν εναλλακτικές επιλογές στις διεργασίες που προσομοιώνονται ή τις υλοποιήσεις τους.”