Network-agent based model for simulating the dynamic spatial network structure of complex ecological systems

Anderson, Taylor; Dragićević, Suzana

doi:10.1016/j.ecolmodel.2018.10.008

Cited by 29 publications

(15 citation statements)

References 54 publications

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“…Based on the calculated standard error for each network measure, it can be concluded that each model run produces a network structure that varies with respect to size, but the network structure itself remains the same. This is consistent with other developed N-ABMs (Anderson and Dragićević 2018) and is a function of the tight coupling between network processes and network structure. Social Network.…”

Section: Validation Resultssupporting

confidence: 92%

“…An N-ABM is composed of two components: an ABM component to simulate spatio-temporal processes of a phenomenon (eg. mobility dynamics) and a spatial network component, which based on the conceptualization in stage 2, abstracts the processes simulated by the ABM as evolving spatial networks SN (Anderson and Dragićević 2018). Specifically, each spatial network SN mirrors the simulated processes of the developed ABM and stores both topological, non-spatial, and spatial information that can be used for visualization and network analysis of ABM internal processes and emergent structure.…”

Section: Network For Agent-based Model Testing (Neat) Approachmentioning

confidence: 99%

“…In other words, the network component of the N-ABM provides an 'x-ray' vision for ABM processes. The process of operationalizing an N-ABM in application to forest insect infestation spread has been presented in, Anderson and Dragićević (2018).…”

Section: Network For Agent-based Model Testing (Neat) Approachmentioning

confidence: 99%

“…Network science is a field of science rooted in mathematics and physics that seeks to represent real-world systems as a set of nodes and links and uses statistic-based network measures to both mathematically characterize the system's structure and link the system's structure and processes (Barthélemy (2011(Barthélemy ( ), (2018). Network measures can also be used to quantify the ABMs that aim to represent these systems by abstracting an ABM into a set of nodes representing agents and the interactions between agents as a discrete and visible set of links (Anderson and Dragićević 2018). Using network measures to characterize ABM behaviour can help to identify and link internal model processes to system-level patterns.…”

Section: Introductionmentioning

confidence: 99%

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NEAT approach for testing and validation of geospatial network agent-based model processes: case study of influenza spread

Anderson

Dragićević

2020

International Journal of Geographical Information Science

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Agent-based models (ABM) are used to represent a variety of complex systems by simulating the local interactions between system components from which observable spatial patterns at the system-level emerge. Thus, the degree to which these interactions are represented correctly must be evaluated. Networks can be used to discretely represent and quantify interactions between system components and the emergent system structure. Therefore, the main objective of this study is to develop and implement a novel validation approach called the NEtworks for ABM Testing (NEAT) that integrates geographic information science, ABM approaches, and spatial network representations to simulate complex systems as measurable and dynamic spatial networks. The simulated spatial network structures are measured using graph theory and compared with empirical regularities of observed real networks. The approach is implemented to validate a theoretical ABM representing the spread of influenza in the City of Vancouver, Canada. Results demonstrate that the NEAT approach can validate whether the internal model processes are represented realistically, thus better enabling the use of ABMs in decision-making processes. ARTICLE HISTORY

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Section: Validation Resultssupporting

confidence: 92%

Section: Network For Agent-based Model Testing (Neat) Approachmentioning

confidence: 99%

Section: Network For Agent-based Model Testing (Neat) Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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NEAT approach for testing and validation of geospatial network agent-based model processes: case study of influenza spread

Anderson

Dragićević

2020

International Journal of Geographical Information Science

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“…is is indicative of the sustainable development of ecosystem dynamics, flows, and demand as well as the supply and demand of goods and services within dynamic ecological systems [16]. ese variables also provide a breakthrough in the dynamic evaluation of ecosystem services.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Spatial Distribution of Urban Green Spaces by Balancing Supply and Demand for Ecosystem Services

Zhang

Liu

et al. 2020

Journal of Chemistry

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e capacity and ecological flows of ecosystem services as well as the demand for them are key areas of urban and rural ecological planning that have been studied using the spatial-explicit model as a decision support tool. is study develops a framework for mapping the relationships among the capacity of and demand for ecosystem services, ecological flows, and planning management.is is done by estimating the ecosystem services based on the space for recreation and environmental conditions and assessing planning for green spaces using the spatial-explicit model. e results show that the carrying capacity of green recreational space was high in the northwest, southwest, and southeast parts of the city of Hefei in China, where this space was highly sustainable in the northwest and southwest. e data also show that the carrying capacity for air purification was higher in the northwest, southwest, and southeast suburbs of Hefei, while areas with high demand for air purification were mainly located in the northeast. e spatial variation in the flows of supply and demand for ecosystem services remained high and unbalanced in the northeast and southwest of Hefei. e excessive use of ecosystem services was concentrated in the urban center while their use in suburban areas was sustainable. e results show that the gap between the supply and demand of space for recreation increased with distance while that between the supply and demand of air purification decreased with increasing distance. e results of assessment based on spatial visualization show that green space was abundant in areas with low demand for it, while those with high demand for it tended to have limited green space in Hefei. is analysis shows that indices for the demand for green spaces in the context of ecosystem services can be improved via public participation, interactions between different scales of ecosystem services for green space, and use of decision support in urban and rural planning systems. ese areas will form important directions for future research.

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Robustness test of multiple protection strategies for ecological networks from the perspective of complex networks: Evidence from Wuhan Metropolitan Area, China

Xing

Liu

2022

Land Degrad Dev

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Robustness is the key for strategies to protect ecological network (ENs) against external threats. In this study, we proposed a research framework for robustness testing of EN protection strategies. First, we constructed the ENs of Wuhan Metropolitan Area (WHM) based on the advantages of circuit theory in landscape ecology.We then extended complex network theory to the migration application of ENs. Five protection strategies of ENs were antagonistically combined with multiple attack modes to implement multi-scenario simulations of attacks on ENs. The robustness parameters of the complex network were applied to measure the effectiveness of EN protection strategies under different attack efficiencies. The results showed that identifying the key performance of ENs makes hierarchical protection of ENs possible. Therefore, when focusing on maintaining the transmission efficiency and global connectivity, or preventing fragmentation of ENs in WHM, we recommend protecting the main trunks of ENs. When focusing on maintaining the backbone connectivity of ENs in WHM, we recommend protecting the main-secondary trunks of ENs. We argue that specific protection strategies and directions can be determined according to the objectives of ecological construction and the scheme we put forward.

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Network-agent based model for simulating the dynamic spatial network structure of complex ecological systems

Cited by 29 publications

References 54 publications

NEAT approach for testing and validation of geospatial network agent-based model processes: case study of influenza spread

NEAT approach for testing and validation of geospatial network agent-based model processes: case study of influenza spread

Optimizing Spatial Distribution of Urban Green Spaces by Balancing Supply and Demand for Ecosystem Services

Robustness test of multiple protection strategies for ecological networks from the perspective of complex networks: Evidence from Wuhan Metropolitan Area, China

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