Integrating knowledge on biodiversity and ecosystem services: Mind-mapping and Bayesian Network modelling

摘要: Even-though the last years have seen a “blossoming” of initiatives aiming to clarify link between biodiversity (BD)-ecosystem functions (EF)-ecosystem services (ES)-human well-being (HWB), there is still need for integrating knowledge obtained by various research, making it useful decision-makers. This contribution aims show ways gathering, representing and modelling these linkages enable better decision-making based on available knowledge. achieved by: (i) conducting systematic-review contributions describing links BD–EF–ES–HWB gathering information into database; (ii) organizing that in mind-map; (iii) showing, as an example, how Bayesian Network model scenarios can be built using mind-map database information. We mind-maps works first step creation unified base, while models allow management data uncertainty, commonly associated with representation complex models, well providing possibility creating future where assumptions tested. Thus, this shows linked improve our understanding issues.