There are many formalism for mobile system specification, but until very recently, there was no satisfactory graphical notation for modelling of such systems. In a previous paper, we have introduced the so-called Sequence Diagrams for Mobility (SDM), a graphical notations based on UML Sequence Diagram. This notation has been used in several case studies and proved very useful. In this paper we ...

Species distribution models (SDMs) are key tools in biodiversity and conservation, but assessing their reliability unsampled locations is difficult, especially where there sampling biases. We present a spatially-explicit sensitivity analysis for SDMs – SDM profiling which assesses the leverage that have on overall model by exploring interaction between effect variable response curves prevalence...

Predictions of species' current and future ranges are needed to effectively manage species under environmental change. Species typically estimated using correlative distribution models (SDMs), which have been criticized for their static nature. In contrast, dynamic occupancy (DOMs) explicitily describe temporal changes in species’ via colonization local extinction probabilities, from time serie...

Functional connectivity is essential for the long-term persistence of populations. However, many studies assess connectivity with a focus on structural connectivity only. Cityscapes, namely urban landscapes, are particularly dynamic and include numerous potential anthropogenic barriers to animal movements, such as roads, traffic or buildings. To assess and compare structural connectivity of hab...

The future management of commercially exploited species is challenging because techniques used to predict the future distribution of stocks under climate change are currently inadequate. We projected the future distribution and abundance of two commercially harvested abalone species (blacklip abalone, Haliotis rubra and greenlip abalone, H. laevigata) inhabiting coastal South Australia, using m...

Species distribution models (SDMs) are commonly used with climate only to predict animal changes. This approach however neglects the evolution of other components niche, like food resource availability. SDMs also plants. suffers limitations, notably an inability capture fertilizing effect rising CO2 concentration strengthening resilience water stress. Alternatively, process-based dynamic vegeta...

Many scientific applications have large I/O requirements, in terms of both the size of data and the number of files or data sets. Management, storage, efficient access, and analysis of this data present an extremely challenging task. Traditionally, two different solutions have been used for this task: file I/O or databases. File I/O can provide high performance but is tedious to use with large ...