Bayesian network (BN) modeling is a rapidly advancing field. Here we explore new methods
by which BN model development and application are being joined with other tools and …

Bayesian networks (BNs), also known as Bayesian belief networks or Bayes nets, are a kind
of probabilistic graphical model that has become very popular to practitioners mainly due to …

The inevitable though frequently informal use of expert opinion in modelling, the increasing
number of models that incorporate formally expert opinion from a diverse range of …

A wide range of quantitative and qualitative modelling research on ecosystem services
(ESS) has recently been conducted. The available models range between elementary …

The topics of succession and post‐disturbance ecosystem recovery have a long and
convoluted history. There is extensive redundancy within this body of theory, which has …

Climate change and land‐use change are having substantial impacts on biodiversity world‐
wide, but few studies have considered the impact of these factors together. If the combined …

Drylands support over 2 billion people and are major providers of critical ecosystem goods
and services across the globe. Drylands, however, are one of the most susceptible biomes …

State and transition models (STMs) are used to organize and communicate information
regarding ecosystem change, especially the implications for management. The fundamental …

Advancing stakeholder participation beyond consultation offers a range of benefits for local
flood risk management, particularly as responsibilities are increasingly devolved to local …

Abstract Natural Resource Conservation Service Range Planting− Conservation Practice
Standards provide guidelines for making decisions about seedbed preparation, planting …