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Zhang, J. , & Robinson, D. T. . (2021). Replication of an agent-based model using the Replication Standard. Environmental Modelling and Software, 139, 105016. Retrieved from https://www.sciencedirect.com/science/article/pii/S1364815221000591

Sun, B. , & Robinson, D. . (2018). Land. Comparison of Statistical Approaches for Modelling Land-Use Change. Retrieved from http://www.mdpi.com/2073-445X/7/4/144

Sun, S. , Parker, D. C. , Huang, Q. , Filatova, T. , Robinson, D. T. , Riolo, R. L. , Hutchins, M. , et al. (2014). Annals of the Association of American Geographers. Market Impacts on Land-Use Change: An Agent-Based Experiment. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-84899733890&partnerID=MN8TOARS

Rounsevell, M. D. A. , Robinson, D. T. , & Murray-Rust, D. . (2012). Philosophical Transactions of the Royal Society B: Biological Sciences. From actors to agents in socio-ecological systems models. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-82755162204&partnerID=MN8TOARS

Rooney, R. C. , Robinson, D. T. , & Petrone, R. . (2015). Nature Climate Change. Megaproject reclamation and climate change. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-84945249932&partnerID=MN8TOARS

Robinson, D. T. , & Balulescu, A. M. . (2018). International Journal of Geographical Information Science. Comparison of methods for quantifying consumer spending on retail using publicly available data. Retrieved from https://doi.org/10.1080/13658816.2018.1423684

Robinson, D. T. , Di Vittorio, A. , Alexander, P. , Arneth, A. , C. Barton, M. , Brown, D. G. , Kettner, A. , et al. (2018). Earth System Dynamics. Modelling feedbacks between human and natural processes in the land system. Retrieved from https://doi.org/10.5194/esd-9-895-2018

Robinson, D. T. , Di Vittorio, A. , Alexander, P. , Arneth, A. , C. Barton, M. , Brown, D. G. , Kettner, A. , et al. (2017). Earth System Dynamics Discussions. Modelling feedbacks between human and natural processes in the land system. Retrieved from https://doi.org/10.5194/esd-2017-68

Robinson, D. T. , Sun, S. , Hutchins, M. , Riolo, R. L. , Brown, D. G. , Parker, D. C. , Filatova, T. , et al. (2013). Environmental Modelling and Software. Effects of land markets and land management on ecosystem function: A framework for modelling exurban land-change. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-84878252872&partnerID=MN8TOARS

Robinson, D. T. , Murray-Rust, D. , Rieser, V. , Miličič, V. , & Rounsevell, M. . (2012). Computers, Environment and Urban Systems. Modelling the impacts of land system dynamics on human well-being: Using an agent-based approach to cope with data limitations in Koper, Slovenia. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-84858080220&partnerID=MN8TOARS

Robinson, D. T. , Filatova, T. , Sun, S. , Riolo, R. L. , Brown, D. G. , Parker, D. C. , Hutchins, M. , et al. (2010). Modelling for Environment's Sake: Proceedings of the 5th Biennial Conference of the International Environmental Modelling and Software Society, iEMSs 2010. Integrating land markets, land management, and ecosystem function in a model of land change. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-84863402697&partnerID=MN8TOARS

Robinson, D. T. , Brown, D. G. , French, N. H. F. , & Reed, B. C. . (2009). Land use and the Carbon Cycle: Advances in Integrated Science, Management, and Policy. Linking land use and the carbon cycle. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-84924090585&partnerID=MN8TOARS

Robinson, D. T. , Brown, D. G. , & Currie, W. S. . (2009). Ecological Modelling. Modelling carbon storage in highly fragmented and human-dominated landscapes: Linking land-cover patterns and ecosystem models. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-63549134763&partnerID=MN8TOARS

Robinson, D. T. , Brown, D. G. , Parker, D. C. , Schreinemachers, P. , Janssen, M. A. , Huigen, M. , Wittmer, H. , et al. (2007). Journal of Land Use Science. Comparison of empirical methods for building agent-based models in land use science.

Rindfuss, R. , Entwisle, B. , Walsh, S. , Li, A. , Badenoch, N. , Brown, D. , Deadman, P. , et al. (2008). Journal of Land Use Science. Land use change: Complexity and comparisons. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-48249099332&partnerID=MN8TOARS

Parker, D. C. , Brown, D. G. , Filatova, T. , Riolo, R. , Robinson, D. T. , & Sun, S. . (2012). Agent-Based Models of Geographical Systems. Do land markets matter? A modeling ontology and experimental design to test the effects of land markets for an agent-based model of ex-urban residential land-use change. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-84955754485&partnerID=MN8TOARS

Murray-Rust, D. , Robinson, D. T. , Guillem, E. , Karali, E. , & Rounsevell, M. . (2014). Environmental Modelling and Software. An open framework for agent based modelling of agricultural land use change. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-84904753472&partnerID=MN8TOARS

Murray-Rust, D. , Brown, C. , van Vliet, J. , Alam, S. J. , Robinson, D. T. , Verburg, P. H. , & Rounsevell, M. . (2014). Environmental Modelling and Software. Combining agent functional types, capitals and services to model land use dynamics. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-84902580798&partnerID=MN8TOARS

Murray-Rust, D. , Rieser, V. , Robinson, D. T. , Miličič, V. , & Rounsevell, M. . (2013). Environmental Modelling and Software. Agent-based modelling of land use dynamics and residential quality of life for future scenarios. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-84892491222&partnerID=MN8TOARS

Meinen, B. U. , & Robinson, D. T. . (2021). Agricultural erosion modelling: Evaluating USLE and WEPP field-scale erosion estimates using UAV time-series data. Environmental Modelling and Software, 137, 104962. Retrieved from https://www.sciencedirect.com/science/article/pii/S1364815221000050

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Despite the critical role that replication plays in the advancement of science, its presence in modelling literature is rare. To encourage others to conduct replication and report success and challenges that facilitate or hinder replication, we present the replication of an agent-based model (ABM) of residential sprawl using the Replication Standard. Replication results achieved relational equivalence. Through the replication process, issues with the original research were identified and corrected in an Improved model, which qualitatively supported original results. A specific challenge affecting alignment of original and Replicate models included capturing model output variability and publishing all original output data for statistical analysis. Through the replication of agent-based models, additional confidence in model behaviour can be garnered and replicated ABMs can become accredited for reuse by others. Future research in the development and refinement of replication methodology and assessments should be cultivated along with a culture of value for replication efforts.

Soil erosion models, typically applied at basin and watershed scales, are rarely evaluated at agricultural field scales due to the lack of spatially-distributed time series data. A novel unmanned aerial vehicle (UAV) methodology was used to quantify farm-field soil erosion from nine UAV surveys and structure-from-motion (SfM). Using a semi-distributed approach, we evaluated soil erosion estimates from the Universal Soil Loss Equation (USLE) and Water Erosion Prediction Project (WEPP). The annual erosion rate, measured with the UAV methodology, was 18.83 t ha⁻¹ yr⁻¹, with USLE and WEPP predictions of 26.23 t ha⁻¹ yr⁻¹ and 16.41 t ha⁻¹ yr⁻¹, respectively. Modelled annual and sub-annual erosion rates with WEPP were within the upper-limit of predictive accuracy, while the USLE tended to systematically overestimate soil erosion rates. These outcomes have implications on the efficacy of conservation efforts, which is highlighted through a discussion and comparison of different best-management practice applications.

Modelling and Spatial Analysis Lab

Derek T. Robinson

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