Socio-technical scales in socio-environmental modeling: Managing a system-of-systems modeling approach

Iwanaga, Takuya; Wang, Hsiao‐Hsuan; Hamilton, Serena H.; Grimm, Volker; Koralewski, Tomasz E.; Salado, Alejandro; Elsawah, Sondoss; Razavi, Saman; Jian, Yang; Glynn, Pierre D.; Badham, Jennifer; Voinov, Alexey; Chen, Min; Grant, William E.; Peterson, Tarla Rai; Frank, Karin; Shenk, Gary W.; Barton, C. Michael; Jakeman, Anthony J.; Little, John C.

doi:10.1016/j.envsoft.2020.104885

Cited by 49 publications

(37 citation statements)

References 218 publications

(306 reference statements)

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“…The principle of “agri-intelligence” can be applied to identify the interactions of environmental and anthropogenic factors that generate the temporal and spatial patterns of CFT outbreaks in south Texas. In this context, it is critical to base an integrated CFT management strategy on an interdisciplinary systems approach [ 48 ], which specifically considers risks and opportunities associated with the livestock–wildlife interface, and is informed by models that enable full-spectrum thinking for resilience of eradication efforts [ 13 ]. Existing technology allows the collection and integration of detailed data on animal movements, physical structure, and vegetative composition of the landscape as well as microclimatic conditions.…”

Section: Discussionmentioning

confidence: 99%

Simulated dynamics of southern cattle fever ticks (Rhipicephalus (Boophilus) microplus) in south Texas, USA: investigating potential wildlife-mediated impacts on eradication efforts

Wang

Grant

Teel³

et al. 2021

Parasites Vectors

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Background Cattle fever ticks (CFT), Rhipicephalus (Boophilus) annulatus and R. (B.) microplus, are vectors of microbes causing bovine babesiosis and pose a threat to the economic viability of the US livestock industry. Efforts by the Cattle Fever Tick Eradication Program (CFTEP) along the US-Mexico border in south Texas are complicated by the involvement of alternate hosts, including white-tailed deer (Odocoileus virginianus) and nilgai (Boselaphus tragocamelus). Methods In the present study, we use a spatially explicit, individual-based model to explore the potential effects of host species composition and host habitat use patterns on southern cattle fever ticks (SCFT, R. (B.) microplus) infestation dynamics and efficacy of eradication schemes. Results In simulations without eradication efforts, mean off-host larval densities were much higher when cattle were present than when only white-tailed deer and nilgai were present. Densities in mesquite and meadows were slightly higher, and densities in mixed brush were much lower, than landscape-level densities in each of these scenarios. In eradication simulations, reductions in mean off-host larval densities at the landscape level were much smaller when acaricide was applied to cattle only, or to cattle and white-tailed deer, than when applied to cattle and nilgai. Relative density reductions in mesquite, mixed brush, and meadows depended on host habitat use preferences. Shifting nilgai habitat use preferences increasingly toward mixed brush and away from mesquite did not change mean off-host larval tick densities noticeably at the landscape level. However, mean densities were increased markedly in mesquite and decreased markedly in mixed brush, while no noticeable change in density was observed in meadows. Conclusions Our results suggest that continued integration of field data into spatially explicit, individual-based models will facilitate the development of novel eradication strategies and will allow near-real-time infestation forecasts as an aid in anticipating and preventing wildlife-mediated impacts on SCFT eradication efforts.

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Section: Discussionmentioning

confidence: 99%

Simulated dynamics of southern cattle fever ticks (Rhipicephalus (Boophilus) microplus) in south Texas, USA: investigating potential wildlife-mediated impacts on eradication efforts

Wang

Grant

Teel³

et al. 2021

Parasites Vectors

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“…The system of system (SoS) framework enables to analyse the interdependencies between various systems (e.g., human, information, environmental, and physical systems), therefore provides a clear understanding of the complex nature of the issue (Fan and Mostafavi, 2019). The trends in data science and information technology (Tannahill and Jamshidi, 2014) supports the integration of various disciplines and research outcomes to represent a socio-environmental system holistically inform policy and decision-making processes (Iwanaga et al, 2020) , which can be referred as climate computing.…”

Section: The Importance Of the System Of Systems Approachmentioning

confidence: 99%

The Applicability of Big Data in Climate Change Research: The Importance of System of Systems Thinking

Sebestyén

Czvetkó

Abonyi

2021

Front. Environ. Sci.

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The aim of this paper is to provide an overview of the interrelationship between data science and climate studies, as well as describes how sustainability climate issues can be managed using the Big Data tools. Climate-related Big Data articles are analyzed and categorized, which revealed the increasing number of applications of data-driven solutions in specific areas, however, broad integrative analyses are gaining less of a focus. Our major objective is to highlight the potential in the System of Systems (SoS) theorem, as the synergies between diverse disciplines and research ideas must be explored to gain a comprehensive overview of the issue. Data and systems science enables a large amount of heterogeneous data to be integrated and simulation models developed, while considering socio-environmental interrelations in parallel. The improved knowledge integration offered by the System of Systems thinking or climate computing has been demonstrated by analysing the possible inter-linkages of the latest Big Data application papers. The analysis highlights how data and models focusing on the specific areas of sustainability can be bridged to study the complex problems of climate change.

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“…The multi-region capabilities of RCOT could also be explored in a region located within a watershed that spans multiple economic systems. The modular framework is also appropriate for a system-of-systems approach that integrates a variety of models from different disciplines and modeling paradigms to represent a socio-environmental (or social-ecological) system, and that can be used to inform policy and decision-making processes (Little et al, 2016(Little et al, , 2019Iwanaga et al, 2021).…”

Section: Future Workmentioning

confidence: 99%

A Coupled Hydrologic-Economic Modeling Framework for Scenario Analysis

et al. 2021

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To capture the interactions between hydrologic and economic systems necessary for modeling water quality at a sufficient level of spatial detail, we have designed a modular framework that couples an economic model with a watershed model. To represent the economic system, the Rectangular Choice-of-Technology (RCOT) model was used because it represents both the physical and monetary aspects of economic activities and, unlike traditional input-output or general equilibrium models, it can optimize choices among operational technologies in addition to the amount and location of production. For the first implementation of this modeling framework, RCOT is coupled with a watershed model, Hydrological Simulation Program-Fortran (HSPF), which was calibrated to represent Cedar Run Watershed in northern Virginia. This framework was used to analyze eight scenarios related to the expansion of agricultural activity in Fauquier County. The database for RCOT used county-level input-output data representative of the region in 2012. Thus, when crop farming was expanded to fully utilize the farmland available in the watershed, the nitrogen concentration at the outflow of the watershed increased from 0.6 to 4.3 mg/L. However, when RCOT could select between a standard and a more nitrogen-efficient management practice, the outflow nitrogen concentration only increased to 2.6 mg/L because RCOT selected the more resource-efficient practice. Building on this modular framework, future work will involve designing more realistic scenarios that can test policy options and regional planning decisions in a wide range of watersheds.

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Socio-technical scales in socio-environmental modeling: Managing a system-of-systems modeling approach

Cited by 49 publications

References 218 publications

Simulated dynamics of southern cattle fever ticks (Rhipicephalus (Boophilus) microplus) in south Texas, USA: investigating potential wildlife-mediated impacts on eradication efforts

Simulated dynamics of southern cattle fever ticks (Rhipicephalus (Boophilus) microplus) in south Texas, USA: investigating potential wildlife-mediated impacts on eradication efforts

The Applicability of Big Data in Climate Change Research: The Importance of System of Systems Thinking

A Coupled Hydrologic-Economic Modeling Framework for Scenario Analysis

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