Agroforestry interventions have the potential to benefit the livelihoods of farmers and
communities worldwide. However, given the high system complexity, the long-term benefits …

Given the extensive impact of humans on ecosystems and the uncertainty faced by decision-
makers when choosing among alternatives, formal support is required for decision-making …

Agricultural management decisions are usually made without perfect knowledge. Decision
Analysis (DA) approaches translate available uncertain information on costs, benefits and …

Governments around the world seek to create programs that will support sustainable
agriculture and achieve food security, yet they are faced with uncertainty, system complexity …

Available options for mitigating the impacts of extreme weather events on temperate fruit
trees involve a number of risks and uncertainties, leaving growers hesitant about the …

Governments around the world have agreed to end hunger and food insecurity and to
improve global nutrition, largely through changes to agriculture and food systems. However …

In the arid areas of Sub-Saharan Africa, perennial challenges of water scarcity and food
insecurity are exacerbated by climate change and variability. The development of robust …

Farmers' agricultural practices in Vietnam are highly sensitive to weather, climate variability
and climate change. The lack of timely and actionable climate-informed agricultural advice …

This paper advances the use of the ranked nodes method (RNM) to portray probabilistic
relationships of continuous quantities in Bayesian networks (BNs). In RNM, continuous …

System models based on Bayesian networks (BNs) are widely applied in different areas.
This paper facilitates the use of such models by advancing the ranked nodes method (RNM) …