Modelling Agricultural Strategies in the Dutch Roman Limes via Agent-Based Modelling (ROMFARMS)

Joyce, Jamie

doi:10.1007/978-3-030-04576-0_7

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…Models were thus developed in the field of Roman studies such as MERCURY, dedicated to the study of the tableware trade in the eastern part of the Roman Empire [74][75][76]. We can also mention ROMFARMS, designed to determine whether the Netherlands had the capacity at the beginning of our era to locally produce enough food to feed the local populations and the Roman army installed on the Dutch Limes [77].…”

Section: Agent-based Modelling Archaeology and Climate Changementioning

confidence: 99%

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The impact of climate change on the agriculture and the economy of Southern Gaul: New perspectives of agent-based modelling

Bernigaud,

Bondeau,

Guiot

et al. 2024

PLoS ONE

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What impact did the Roman Climate Optimum (RCO) and the Late Antique Little Ice Age (LALIA) have on the rise and fall of the Roman Empire? Our article presents an agent-based modelling (ABM) approach developed to evaluate the impact of climate change on the profitability of vineyards, olive groves, and grain farms in Southern Gaul, which were the main source of wealth in the roman period. This ABM simulates an agroecosystem model which processes potential agricultural yield values from paleoclimatic data. The model calculates the revenues made by agricultural exploitations from the sale of crops whose annual volumes vary according to climate and market prices. The potential profits made by the different agricultural exploitations are calculated by deducting from the income the operating and transportation costs. We conclude that the warm and wet climate of the Roman period may have had an extremely beneficial effect on the profitability of wine and olive farms between the 2nd century BCE and the 3rd century CE, but a more modest effect on grain production. Subsequently, there is a significant decrease in the potential profitability of farms during the Late Antique Little Ice Age (4th-7th century CE). Comparing the results of our model with archaeological data enables us to discuss the impact of these climatic fluctuations on the agricultural and economic growth, and then their subsequent recession in Southern Gaul from the beginning to the end of antiquity.

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Section: Agent-based Modelling Archaeology and Climate Changementioning

confidence: 99%

“…[87][88][89][90][91]), agricultural strategies (Intensive/Extensive Exploitation) of protohistoric and ancient societies (e.g. [68,77]). These approaches are strongly inspired by Site Catchment Analysis [92].…”

Section: Plos Onementioning

confidence: 99%

The impact of climate change on the agriculture and the economy of Southern Gaul: New perspectives of agent-based modelling

Bernigaud,

Bondeau,

Guiot

et al. 2024

PLoS ONE

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Repetition in abundant landscapes: dynamic approaches to Iron Age and Roman settlement in England

Aldred,

Cooper,

Evans

et al. 2023

Archaeological Journal

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Modelling the Basics of Roman Demography

Verhagen¹

2022

Simulating Roman Economies

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In this chapter, an introduction is given to palaeodemographic simulation modelling and its application to Roman archaeology. This is illustrated by the case study of the Dutch limes region. It is often assumed that this area could not provide the number of recruits demanded by the Roman army when compared to the available evidence for settlement numbers and sizes. Simulation models based on modern and palaeodemographic data and assumptions on mortality and fertility were set up in NetLogo to test hypotheses on the effects of recruitment on population growth. If it is assumed that soldiers were not allowed to have families, the models show that recruitment of soldiers can have strong negative effects on population size in the longer run. The models were then extended to better understand the effect of marriage strategies and mortality crises such as epidemics on population dynamics. From this, it became clear that the population could have applied various strategies to influence population growth. Also, mortality crises will only seriously curb population growth when they occur frequently. These models, while relatively simple to construct and analyse, are useful to experiment with different socio-cultural, biological, and environmental factors, and can be easily transferred to different settings. We thus see a large potential for this and similar models to be used as heuristic tools that can help to understand the development of population characteristics through time and to assess the importance of the different factors contributing to population growth and decline.

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Modelling Agricultural Strategies in the Dutch Roman Limes via Agent-Based Modelling (ROMFARMS)

Cited by 3 publications

References 20 publications

The impact of climate change on the agriculture and the economy of Southern Gaul: New perspectives of agent-based modelling

The impact of climate change on the agriculture and the economy of Southern Gaul: New perspectives of agent-based modelling

Repetition in abundant landscapes: dynamic approaches to Iron Age and Roman settlement in England

Modelling the Basics of Roman Demography

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