Linking models for assessing agricultural land use change

Janssen, Sander; Athanasiadis, Ioannis N.; Bezlepkina, I.; Knapen, Rob; Li, Hongtao; Domínguez, Ignácio Pérez; Rizzoli, Andrea Emilio; Ittersum, M.K. van

doi:10.1016/j.compag.2010.10.011

Cited by 45 publications

(31 citation statements)

References 47 publications

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“…As such, they act as important connections between the different modules. Conceptual and technical integration that ensures consistency in mass and energy balance (e.g., units) between modules is important to avoid skewed geometries and mismatched scales [20,71].…”

Section: Module Selection and Integrationmentioning

confidence: 99%

“…Despite the advantages highlighted above, coupled modelling approaches do run the risk of producing inconsistencies in representation that lead to invalid models, despite being valid software products (so-called "integronsters" [20]). The challenges of integrating distinct modelling approaches (as modules) into hybrid models for telecoupling are thus not only technical, but also conceptual and semantic [71], and are linked to important issues of model uncertainty and assessment.…”

Section: Integration Challenges For Hybrid Models Of Telecouplingmentioning

confidence: 99%

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Integrating Modelling Approaches for Understanding Telecoupling: Global Food Trade and Local Land Use

Millington

Xiong

Peterson

et al. 2017

Land

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Abstract:The telecoupling framework is an integrated concept that emphasises socioeconomic and environmental interactions between distant places. Viewed through the lens of the telecoupling framework, land use and food consumption are linked across local to global scales by decision-making agents and trade flows. Quantitatively modelling the dynamics of telecoupled systems like this could be achieved using numerous different modelling approaches. For example, previous approaches to modelling global food trade have often used partial equilibrium economic models, whereas recent approaches to representing local land use decision-making have widely used agent-based modelling. System dynamics models are well established for representing aggregated flows and stores of products and values between distant locations. We argue that hybrid computational models will be useful for capitalising on the strengths these different modelling approaches each have for representing the various concepts in the telecoupling framework. However, integrating multiple modelling approaches into hybrid models faces challenges, including data requirements and uncertainty assessment. To help guide the development of hybrid models for investigating sustainability through the telecoupling framework here we examine important representational and modelling considerations in the context of global food trade and local land use. We report on the development of our own model that incorporates multiple modelling approaches in a modular approach to negotiate the trade-offs between ideal representation and modelling resource constraints. In this initial modelling our focus is on land use and food trade in and between USA, China and Brazil, but also accounting for the rest of the world. We discuss the challenges of integrating multiple modelling approaches to enable analysis of agents, flows, and feedbacks in the telecoupled system. Our analysis indicates differences in representation of agency are possible and should be expected in integrated models. Questions about telecoupling dynamics should be the primary driver in selecting modelling approaches, tempered by resource availability. There is also a need to identify appropriate modelling assessment and analysis tools and learn from their application in other domains.

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Section: Module Selection and Integrationmentioning

confidence: 99%

Section: Integration Challenges For Hybrid Models Of Telecouplingmentioning

confidence: 99%

Integrating Modelling Approaches for Understanding Telecoupling: Global Food Trade and Local Land Use

Millington

Xiong

Peterson

et al. 2017

Land

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“…In SEAMLESS (Janssen et al, 2011;van Ittersum et al, 2008), pre-integration was performed through discussions that involved scientists, assessors, decision support specialists. The discussions focused first on defining scenarios and indicators (which would be tested by the integrated system), and then on analyzing system requirements.…”

Section: Pre-integration Assessmentmentioning

confidence: 99%

“…If, however, the communication involves iterations --that is, feedbacks and looping over components --a separate controller component is required; the controller contains an iteration algorithm and a link to individual components involved in the iteration. The OpenMI standard has been implemented in some framework designs such as SEAMLESS-IF (Janssen et al, 2011;van Ittersum et al, 2008), SIAT (Verweij et al, 2010), NITROEUROPE (Sutton et al, 2009), EVOLTREE 3 , and FluidEarth 4 .…”

Section: Component-based Approach For Technical Integration Of Modelsmentioning

confidence: 99%

“…The challenge is to link the existing fragmented knowledge and models, capitalizing on the strengths and capabilities of individual components instead of developing new models from scratch each time we are facing another problem. For this we need some methods of integration (Arnold, 2013) that can link the 'appropriate' component models into a system-of-systems finding complementarity in these models (Janssen et al, 2011) and compensating for limitations of one model by what other models may offer (Stoorvogel, 1995). Such integration bears the promise of better coverage and detail at multiple scales.…”

Section: Introductionmentioning

confidence: 99%

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Integrating models on the web : applications for socio-environmental studies

Belete¹

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An ontology for component‐based models of water resource systems

Elag

Goodall

2013

Water Resources Research

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[1] Component-based modeling is an approach for simulating water resource systems where a model is composed of a set of components, each with a defined modeling objective, interlinked through data exchanges. Component-based modeling frameworks are used within the hydrologic, atmospheric, and earth surface dynamics modeling communities. While these efforts have been advancing, it has become clear that the water resources modeling community in particular, and arguably the larger earth science modeling community as well, faces a challenge of fully and precisely defining the metadata for model components. The lack of a unified framework for model component metadata limits interoperability between modeling communities and the reuse of models across modeling frameworks due to ambiguity about the model and its capabilities. To address this need, we propose an ontology for water resources model components that describes core concepts and relationships using the Web Ontology Language (OWL). The ontology that we present, which is termed the Water Resources Component (WRC) ontology, is meant to serve as a starting point that can be refined over time through engagement by the larger community until a robust knowledge framework for water resource model components is achieved. This paper presents the methodology used to arrive at the WRC ontology, the WRC ontology itself, and examples of how the ontology can aid in component-based water resources modeling by (i) assisting in identifying relevant models, (ii) encouraging proper model coupling, and (iii) facilitating interoperability across earth science modeling frameworks.Citation: Elag, M., and J. L. Goodall (2013), An ontology for component-based models of water resource systems, Water Resour.

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Linking models for assessing agricultural land use change

Cited by 45 publications

References 47 publications

Integrating Modelling Approaches for Understanding Telecoupling: Global Food Trade and Local Land Use

Integrating Modelling Approaches for Understanding Telecoupling: Global Food Trade and Local Land Use

Integrating models on the web : applications for socio-environmental studies

An ontology for component‐based models of water resource systems

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