Modelling spatial relationships between ecosystem services and agricultural production in an agentbased model

Activity: Talk or presentationPresentation

Details

Title Modelling spatial relationships between ecosystem services and agricultural production in an agentbased model
Person and role
Description The collective impacts of farmers’ land management decisions on above ground ecosystem services (ES) and their implications for agriculture are poorly understood. Managing habitat to provide ES is costly but at the same time it can support higher yields through, e.g., pollination or natural pest control. Due to the mobility of ES-providers (bees, natural enemies) farmers providing habitat might also benefit their neighbours, creating interdependencies among their decisions. Interdependencies among farmers’ land-use decisions and the flow of ES in space can be considered by integrating agent-based modelling and evidence-based ES models. Such integration requires a trade-off between
the land-use details required to capture relevant ecological dynamics of ES in a landscape and the simplified landscape modelling in agent-based models. This paper shows how details of land use can be increased in the agent-based model AgriPoliS that simulates agricultural structural change. Nonagricultural land in AgriPoliS is differentiated into different land uses, i.e. settlements and natural
habitats. Furthermore, the size distribution of these landscape elements and their distribution in space are considered. The improvement of the landscape modelling is a prerequisite for detailed analysis of policies supporting biodiversity and their impact on agricultural production and farm income.
Date/period

2014 Jun 16

Related organisations
The collective impacts of farmers’ land management decisions on above ground ecosystem services (ES) and their implications for agriculture are poorly understood. Managing habitat to provide ES is costly but at the same time it can support higher yields through, e.g., pollination or natural pest control. Due to the mobility of ES-providers (bees, natural enemies) farmers providing habitat might also benefit their neighbours, creating interdependencies among their decisions. Interdependencies among farmers’ land-use decisions and the flow of ES in space can be considered by integrating agent-based modelling and evidence-based ES models. Such integration requires a trade-off between
the land-use details required to capture relevant ecological dynamics of ES in a landscape and the simplified landscape modelling in agent-based models. This paper shows how details of land use can be increased in the agent-based model AgriPoliS that simulates agricultural structural change. Nonagricultural land in AgriPoliS is differentiated into different land uses, i.e. settlements and natural
habitats. Furthermore, the size distribution of these landscape elements and their distribution in space are considered. The improvement of the landscape modelling is a prerequisite for detailed analysis of policies supporting biodiversity and their impact on agricultural production and farm income.
2014 Jun 16

Event (Conference)

Title7th International Congress on Environmental Modelling and Software, 2014
Abbrev. TitleiEMSs
Period2014/06/152014/06/19
Web address (URL)
LocationCrown Plaza Hotel, San Diego
CitySan Diego
CountryUnited States

Related projects

Henrik Smith, Juliana Dänhardt, David Kleijn, Felix Schläpfer, Amanda Sahrbacher, Jens Newig, Adrien Rusch, Riccardo Bommarco, Manuel Plantegenest, Ullrika Sahlin & Mark V. Brady

FORMAS, a Swedish research council for sustainable development

2013/02/012016/12/31

Project: ResearchInternational collaboration

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Related research output

Christoph Sahrbacher, Mark Brady, Yann Clough, Changxing Dong, Ullrika Sahlin & Martin Stjernman, 2014, p. 1311-1318.

Research output: Contribution to conferencePaper, not in proceeding

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