Nutrient acquisition is a major context for ecological interactions among species but ecologists and nutritionists have developed theory in isolation from each other. Developments in agent-based modelling, state-space modelling of nutrition and multi-scale modelling of landscape ecology provide the components for a new synthesis in nutritional ecology linking the nutritional biology of individu...

Artificial neural networks (ANNs) are non-linear mapping structures based on the function of the human brain. They have been shown to be universal and highly flexible function approximators for any data. These make powerful tools for models, especially when the underlying data relationships are unknown. In this reason, the international workshop on the applications of ANNs to ecological modelli...

Ecological models should be rooted in data derived from observation, allowing methodical model construction and clear accounts of model results with respect to the data. Unfortunately, many models are retrospectively fitted to data because in practice it is difficult to bridge the gap between concrete data and abstract models. Our research is on automated methods to support bridging this gap. T...

Conceptual modelling is central to information systems development. The design of information systems requires appropriate languages to conceptualize interactions between actors. Mostly, design languages are adopted to the application system to be modelled instead of being aligned with the nature of perception of the modeller. Perception and cognition are very different from computations on sym...

The aim of this study was modelling the spatial distribution ofLilium ledebourii (Baker) Boiss. based on ecological characteristics, in order to predict potential habitats for conservation of a rare plant. Knowledge of the spatial distributions of rare and threatened species and the underlying ecological factors plays an important role in regional conservation assessments and development planni...

Transformations to create more sustainable social-ecological systems are urgently needed. Structural change is a feature of transformations of social-ecological systems that is of critical importance but is little understood. Here, we propose a framework for conceptualising and modelling sustainability transformations based on adaptive networks. Adaptive networks focus attention on the interpla...