title: Comparing decision-support systems in adopting sustainable intensification criteria.
abstract: Sustainable intensification (SI) is a multifaceted concept incorporating the ambition to increase or maintain the current level of agricultural yields while reduce negative ecological and environmental impacts. Decision-support systems (DSS) that use integrated analytical methods are often used to support decision making processes in agriculture. However, DSS often consist of set of values, objectives, and assumptions that may be inconsistent or in conflict with merits and objectives of SI. These potential conflicts will have consequences for adoption and up-take of agricultural research, technologies and related policies and regulations such as genetic technology in pursuit of SI. This perspective paper aimed at comparing a number of frequently used socio-economic DSS with respect to their capacity in incorporating various dimensions of SI, and discussing their application to analyzing farm animal genetic resources (FAnGR) policies. The case of FAnGR policies was chosen because of its great potential in delivering merits of SI. It was concluded that flexible DSS, with great integration capacity with various natural and social sciences, are needed to provide guidance on feasibility, practicality, and policy implementation for SI.
authors.affiliation: Land Economy, Environment and Society Research Group, Scotland's Rural College , Edinburgh, UK.
authors.forename: Bouda Vosough
authors.initials: BV
authors.lastname: Ahmadi
authors.affiliation: Land Economy, Environment and Society Research Group, Scotland's Rural College , Edinburgh, UK.
authors.forename: Dominic
authors.initials: D
authors.lastname: Moran
authors.affiliation: Land Economy, Environment and Society Research Group, Scotland's Rural College , Edinburgh, UK.
authors.forename: Andrew P
authors.initials: AP
authors.lastname: Barnes
authors.affiliation: Agronomy, Agroecology, Earth and Life Institute, Université catholique de Louvain , Louvain-la-Neuve, Belgium.
authors.forename: Philippe V
authors.initials: PV
authors.lastname: Baret
keywords: decision-support systems (DSS); farm animal genetic resources; models; social science; sustainable intensification