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Assessing ecosystem services from multifunctional trees in pastures using Bayesian belief networks

D. Barton,T. Benjamin,C. Cerdán,F. DeClerck,A. Madsen,G. Rusch,Álvaro G. Salazar,D. Sánchez,C. Villanueva

Published 2016 in Ecosystem services

ABSTRACT

A Bayesian belief network (BBN) was developed to assess preferred combinations of trees in live fences and on pastures in silvopastoral systems. The BBN was created with information from Rivas, Nicaragua, using local farmer knowledge on tree species, trees' costs and benefits, farmers' expressed needs and aspirations, and scientific knowledge regarding tree functional traits and their contribution to ecosystem services and benefits. The model identifies combinations of trees, which provide multiple ecosystem services from pastures, improving their productivity and contribution to farmer livelihoods. We demonstrate how the identification of portfolios of multifunctional trees can satisfy a profile of desired ecosystem services prioritized by the farmer. Diagnostics using Bayesian inference starts with an identification of farmer needs and ‘works backwards’ to identify a silvopastoral system structure. We conclude that Bayesian belief networks are a promising modeling technique for multi-criteria decisions in farm adaptation processes, where interventions must be adapted to specific contexts and farmer preferences.

PUBLICATION RECORD

  • Publication year

    2016

  • Venue

    Ecosystem services

  • Publication date

    2016-04-01

  • Fields of study

    Agricultural and Food Sciences, Computer Science, Environmental Science

  • Identifiers
    DOI 10.1016/J.ECOSER.2016.03.002
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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