Modelling shifts between mono- and multifunctional farming systems

the importance of social and economic drivers

Research output: Contribution to journalArticleAcademicpeer-review

11 Citations (Scopus)

Abstract

Context: In Europe, policy measures are starting to emerge that promote multifunctional farming systems and delivery of ecosystem services besides food production. Effectiveness of these policy instruments have to deal with ecological, economic and social complexities and with complexities in individual decisions of local actors leading to system shifts. Objective: The objective of this paper is to discover the most important social and/or economic drivers that cause farm systems to shift between a monofunctional (providing food) and a multifunctional state (providing food and natural pest regulation). Methods: Using a cellular automata model, we simulated decisions of individual farmers to shift between a mono-and multifunctional state through time, based on their behaviour type and on financial and social consequences. Collaboration of multifunctional farmers at a landscape scale is a precondition to provide a reliable level of natural pest regulation. Results: Costs of applying green infrastructure was an important driver for the size and the conversion rate of shifts between mono-and multifunctional farming systems. Shifts towards multifunctional farming were enhanced by a higher motivation of farmers to produce sustainably, while shifts (back) to a monofunctional state was enhanced by a low social cohesion between multifunctional farmers. Conclusions: These results suggest that in order to develop a multifunctional farming system, individual farmers should act counterintuitively to their conventional farming environment. To maintain a multifunctional farming system, social cohesion between multifunctional farmers is most relevant. Financial aspects are important in both shifts.
Original languageEnglish
Pages (from-to)595-607
JournalLandscape Ecology
Volume32
Issue number3
DOIs
Publication statusPublished - 2017

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farming system
farmer
driver
economics
cohesion
modeling
social cohesion
food
cellular automaton
ecological economics
food production
ecosystem service
regulation
infrastructure
farm
social effects
cost
cause
costs
pest

Keywords

  • Complex adaptive systems
  • Ecosystem services
  • Farmer behaviour
  • Green infrastructure
  • Hysteresis
  • Natural pest regulation

Cite this

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title = "Modelling shifts between mono- and multifunctional farming systems: the importance of social and economic drivers",
abstract = "Context: In Europe, policy measures are starting to emerge that promote multifunctional farming systems and delivery of ecosystem services besides food production. Effectiveness of these policy instruments have to deal with ecological, economic and social complexities and with complexities in individual decisions of local actors leading to system shifts. Objective: The objective of this paper is to discover the most important social and/or economic drivers that cause farm systems to shift between a monofunctional (providing food) and a multifunctional state (providing food and natural pest regulation). Methods: Using a cellular automata model, we simulated decisions of individual farmers to shift between a mono-and multifunctional state through time, based on their behaviour type and on financial and social consequences. Collaboration of multifunctional farmers at a landscape scale is a precondition to provide a reliable level of natural pest regulation. Results: Costs of applying green infrastructure was an important driver for the size and the conversion rate of shifts between mono-and multifunctional farming systems. Shifts towards multifunctional farming were enhanced by a higher motivation of farmers to produce sustainably, while shifts (back) to a monofunctional state was enhanced by a low social cohesion between multifunctional farmers. Conclusions: These results suggest that in order to develop a multifunctional farming system, individual farmers should act counterintuitively to their conventional farming environment. To maintain a multifunctional farming system, social cohesion between multifunctional farmers is most relevant. Financial aspects are important in both shifts.",
keywords = "Complex adaptive systems, Ecosystem services, Farmer behaviour, Green infrastructure, Hysteresis, Natural pest regulation",
author = "Grashof-Bokdam, {Carla J.} and Anouk Cormont and Polman, {Nico B.P.} and Westerhof, {Eug{\`e}ne J.G.M.} and Franke, {Jappe G.J.} and Opdam, {Paul F.M.}",
year = "2017",
doi = "10.1007/s10980-016-0458-7",
language = "English",
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pages = "595--607",
journal = "Landscape Ecology",
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T1 - Modelling shifts between mono- and multifunctional farming systems

T2 - the importance of social and economic drivers

AU - Grashof-Bokdam, Carla J.

AU - Cormont, Anouk

AU - Polman, Nico B.P.

AU - Westerhof, Eugène J.G.M.

AU - Franke, Jappe G.J.

AU - Opdam, Paul F.M.

PY - 2017

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N2 - Context: In Europe, policy measures are starting to emerge that promote multifunctional farming systems and delivery of ecosystem services besides food production. Effectiveness of these policy instruments have to deal with ecological, economic and social complexities and with complexities in individual decisions of local actors leading to system shifts. Objective: The objective of this paper is to discover the most important social and/or economic drivers that cause farm systems to shift between a monofunctional (providing food) and a multifunctional state (providing food and natural pest regulation). Methods: Using a cellular automata model, we simulated decisions of individual farmers to shift between a mono-and multifunctional state through time, based on their behaviour type and on financial and social consequences. Collaboration of multifunctional farmers at a landscape scale is a precondition to provide a reliable level of natural pest regulation. Results: Costs of applying green infrastructure was an important driver for the size and the conversion rate of shifts between mono-and multifunctional farming systems. Shifts towards multifunctional farming were enhanced by a higher motivation of farmers to produce sustainably, while shifts (back) to a monofunctional state was enhanced by a low social cohesion between multifunctional farmers. Conclusions: These results suggest that in order to develop a multifunctional farming system, individual farmers should act counterintuitively to their conventional farming environment. To maintain a multifunctional farming system, social cohesion between multifunctional farmers is most relevant. Financial aspects are important in both shifts.

AB - Context: In Europe, policy measures are starting to emerge that promote multifunctional farming systems and delivery of ecosystem services besides food production. Effectiveness of these policy instruments have to deal with ecological, economic and social complexities and with complexities in individual decisions of local actors leading to system shifts. Objective: The objective of this paper is to discover the most important social and/or economic drivers that cause farm systems to shift between a monofunctional (providing food) and a multifunctional state (providing food and natural pest regulation). Methods: Using a cellular automata model, we simulated decisions of individual farmers to shift between a mono-and multifunctional state through time, based on their behaviour type and on financial and social consequences. Collaboration of multifunctional farmers at a landscape scale is a precondition to provide a reliable level of natural pest regulation. Results: Costs of applying green infrastructure was an important driver for the size and the conversion rate of shifts between mono-and multifunctional farming systems. Shifts towards multifunctional farming were enhanced by a higher motivation of farmers to produce sustainably, while shifts (back) to a monofunctional state was enhanced by a low social cohesion between multifunctional farmers. Conclusions: These results suggest that in order to develop a multifunctional farming system, individual farmers should act counterintuitively to their conventional farming environment. To maintain a multifunctional farming system, social cohesion between multifunctional farmers is most relevant. Financial aspects are important in both shifts.

KW - Complex adaptive systems

KW - Ecosystem services

KW - Farmer behaviour

KW - Green infrastructure

KW - Hysteresis

KW - Natural pest regulation

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