Assessing ecosystem services from multifunctional trees in pastures using Bayesian belief networks | Land Portal
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Información del recurso

Date of publication: 
Diciembre 2016
Resource Language: 
ISBN / Resource ID: 
handle:10568/72795
Pages: 
165-174
License of the resource: 

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.

Autores y editores

Author(s), editor(s), contributor(s): 
Barton, D.N. Benjamin, T. Cerdan, C.R. Madsen, A.L. Rusch, G.M. Salazar, A.G. Sanchez, D. Villanueva, C. DeClerck, Fabrice Aalborg University Norwegian Institute for Nature Research Como Consult Purdue University Centro Agronómico Tropical de Investigación y Enseñanza
Corporate Author(s): 

Bioversity International is a global research-for-development organization. We have a vision – that agricultural biodiversity nourishes people and sustains the planet.

We deliver scientific evidence, management practices and policy options to use and safeguard agricultural and tree biodiversity to attain sustainable global food and nutrition security.

We work with partners in low-income countries in different regions where agricultural and tree biodiversity can contribute to improved nutrition, resilience, productivity and climate change adaptation.

Publisher(s): 

Elsevier is a world-leading provider of information solutions that enhance the performance of science, health, and technology professionals.

All knowledge begins as uncommon—unrecognized, undervalued, and sometimes unaccepted. But with the right perspective, the uncommon can become the exceptional.

Proveedor de datos

CGIAR (CGIAR)

CGIAR is the only worldwide partnership addressing agricultural research for development, whose work contributes to the global effort to tackle poverty, hunger and major nutrition imbalances, and environmental degradation.

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