Managing Hybrid Model Composition Complexity: Human–Environment Simulation Models

Sarjoughian, Hessam S.; Mayer, Gary R.; Ullah, Isaac; Barton, C. Michael

doi:10.1007/978-3-319-15096-3_6

Cited by 7 publications

(3 citation statements)

References 36 publications

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“…Observational or modeled climatic data are used as input to the LEM (Barton et al, 2010(Barton et al, , 2012Mayer and Sarjoughian, 2009;Mitasova et al, 2013;Soto-15 Berelov, 2011). The components of the MML are modular and are dynamically coupled through an interaction model to manage overall model complexity (Davis and Anderson, 2004, p. 200;Gholami et al, 2014;Sarjoughian et al, 2013;Sarjoughian, 2006;Sarjoughian et al, 2015) (See S1 1.1).…”

Section: Definition and Descriptionmentioning

confidence: 99%

Modelling feedbacks between human and natural processes in the land system

Robinson¹,

Vittorio²,

Alexander³

et al. 2017

Preprint

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The unprecedented use of Earth's resources by humans, in combination with the increasing natural variability in natural processes over the past century, is affecting evolution of the Earth system. To better understand natural processes and their potential future trajectories requires improved integration with 5 and quantification of human processes. Similarly, to mitigate risk and facilitate socio-economic development requires a better understanding of how the natural system (e.g., climate variability and change, extreme weather events, and processes affecting soil fertility) affects human processes. To capture and formalize our understanding of the interactions and feedback between human and natural systems a variety of modelling approaches are used. While integrated assessment models are widely 10 recognized as supporting this goal and integrating representations of the human and natural system for global applications, an increasing diversity of models and corresponding research have focused on coupling models specializing in specific human (e.g., decision-making) or natural (e.g., erosion) processes at multiple scales. Domain experts develop these specialized models with a greater degree of detail, accuracy, and transparency, with many adopting open-science norms that use new technology for 15 model sharing, coupling, and high performance computing. We highlight examples of four different approaches used to couple representations of the human and natural system, which vary in the processes represented and in the scale of their application. The examples illustrate how groups of researchers have attempted to overcome the lack of suitable frameworks for coupling human and natural systems to answer questions specific to feedbacks between human and natural systems. We draw from these 20 examples broader lessons about system and model coupling and discuss the challenges associated with maintaining consistency across models and representing feedback between human and natural systems in coupled models.Earth Syst. Dynam. Discuss., https://doi

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Section: Definition and Descriptionmentioning

confidence: 99%

Modelling feedbacks between human and natural processes in the land system

Robinson¹,

Vittorio²,

Alexander³

et al. 2017

Preprint

Self Cite

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“…As we discuss below, enhancements to the MML in development include a more sophisticated vegetation model. The interaction model (IM) serves to dynamically couple the ABM and LEM components of the MML, capturing computational properties of human/landscape interactions that do not belong entirely to either ABM nor LEM (Sarjoughian et al, 2015). This reduces ABM and LEM model complexities by maintaining the independence of models and their execution environment.…”

Section: The Mediterranean Landscape Dynamics Projectmentioning

confidence: 99%

Experimental socioecology: Integrative science for anthropocene landscape dynamics

et al. 2016

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The emergence of coupled natural and human landscapes marked a transformative interval in the human past that set our species on the road to the urbanized, industrial world in which we live, and enabled technologies and social institutions responsible for human-natural couplings in domains beyond rural, agricultural settings. The Mediterranean Landscape Dynamics Project (MedLand) is studying the interacting social and biophysical processes associated with these novel socioecological systems and their long-term consequences using a new form of 'experimental socioecology' made possible by recent advances in computation. We briefly describe the MedLand modeling laboratory, a hybrid simulation environment that couples models of smallholder farming and herding, landscape evolution, and vegetation change managed through an interaction model. We then review three examples of experimental socioecology carried out in this laboratory. These offer new insights for scale-dependent thresholds in agropastoral productivity, long-term sustainability of alternative land-use strategies, and identifying signatures of human and climate-driven landscape dynamics. We conclude with an overview of new directions for this interdisciplinary research on Anthropocene human-earth systems, including: modeling more diverse decision-making strategies for land-use, developing more sophisticated models of vegetation dynamics and fire ecology, and generating digital proxy data for more robust model validation against the empirical record.

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“…Ullah, 2013) or, to avoid unwieldy combinations of different models, a targeted approach that focuses on specific social–ecological interactions (e.g. Sarjoughian et al., 2015).…”

Section: Introductionmentioning

confidence: 99%