Modelling with uncertainty: Introducing a probabilistic framework to predict animal population dynamics

Habitat suitability modelling of rare species using Bayesian networks: Model evaluation under limited data

“…Whilst this is one of the strengths of the modelling approach, we believe that model evaluation is critical for developing rigorous BNs, regardless of data availability (Chen and Pollino, 2012). The lack of evaluation of model uncertainty and predictions is not limited to BN applications, being an issue in modelling more generally (Manel et al, 2001;Holland et al, 2009;Shin et al, 2013). Many of the challenges and lessons that will be discussed in this paper may also be applicable to other modelling approaches.…”

Mapping mountain areas: learning from Global, European and Norwegian perspectives

“…Considerable parts of the latter two zones, particularly at lower elevations, cover territory that is not included in EEA (2018). The ENS has been used to describe broad European environmental patterns (e.g., Di Filippo et al 2007;Holland et al 2009), to provide units for summary reporting (e.g., Thuiller et al 2005;Smit et al 2008), and to develop more detailed typologies designed for use by policymakers and other stakeholders (e.g., Hazeu et al 2011;van Eupen et al 2012). The European Commission has used the Environmental Zones as the basis for assessing High Nature Value farmland (Paracchini et al 2008), to identify potential areas for cultivation of bio-energy crops (EEA 2007), and to support the development of a European ecosystem map (BISE 2015).…”

On the logistic equation subject to uncertainties in the environmental carrying capacity and initial population density

“…In this context, many authors have introduced stochastic population models to investigate the effect of environmental variability and perturbation [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]. Here, we explore uncertainties present in the logistic model, which is commonly applied in the studies of human, plants and bacterial populations, as well as to evaluate economic growth.…”