Grid-Set-Match, an agent-based simulation model, predicts fruit set for the lowbush blueberry (Vaccinium angustifolium) agroecosystem

Alex W. Bajcz, David Hiebeler and Francis A. Drummond

Ecological Modelling, 2017, vol. 361, issue C, 80-94

Abstract: Fruit set, the proportion of flowers whose ovaries successfully bear fruit, is the product of dozens of processes, many of which are difficult to study and manipulate in situ. To establish which of these processes are most important in the lowbush blueberry (Vaccinium angustifolium Aiton; Ericaceae) agroecosystem, an agent-based simulation model, Grid-Set-Match, with temporal and spatial elements was constructed using the R software package. Pollination ecology data from this system were used to parameterize the model. Then, results from 1,000 iterations of the model were compared to field fruit set data from a survey of 162 lowbush blueberry fields from 1993 to 2015 as well as from a field study conducted from 2013 to 2015.

Keywords: Grid-Set-Match; Agent-based; Simulation; Fruit set; Lowbush blueberry; Vaccinium angustifolium; Pollination (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:361:y:2017:i:c:p:80-94

DOI: 10.1016/j.ecolmodel.2017.07.026

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