Modelling shifts between mono- and multifunctional farming systems : the importance of social and economic drivers

Autor: Paul Opdam, Eugène J. G. M. Westerhof, Jappe G. J. Franke, C.J. Grashof-Bokdam, A. Cormont, Nico Polman
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Earth Observation and Environmental Informatics
010504 meteorology & atmospheric sciences
Geography
Planning and Development

Landgebruiksplanning
0211 other engineering and technologies
WASS
Context (language use)
02 engineering and technology
01 natural sciences
Informatiemanagement & Projectmanagement Organisatie
Ecosystem services
Land Use Planning
Aardobservatie en omgevingsinformatica
Complex adaptive system
Green Economy and Landuse
Natuur en samenleving
0105 earth and related environmental sciences
Nature and Landscape Conservation
Datawetenschap
Informatiemanagement & Projectmanagement Organisatie

Sustainable development
WIMEK
Ecology
business.industry
Intensive farming
Farmer behaviour
Hysteresis
Data Science
Environmental resource management
Nature and society
Complex adaptive systems
Data Science
Information Management & Projectmanagement Organisation

021107 urban & regional planning
Green infrastructure
Datawetenschap
Environmental economics
Groene Economie en Ruimte
Agriculture
Sustainability
Business
Natural pest regulation
Information Management & Projectmanagement Organisation
Zdroj: Landscape Ecology 32 (2017) 3
Landscape Ecology, 32(3), 595-607
ISSN: 0921-2973
Popis: 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.
Databáze: OpenAIRE