The major intention of the present study was to investigate whether an approach combining the use of niche-based palaeodistribution modeling and phylo-geography would support or modify hypotheses about the Quaternary distributional history derived from phylogeographic methods alone. Our study system comprised two closely related species of Alpine Primula. We used species distribution models bas...

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...

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...

Aim A limitation of species distribution models (SDMs) is that with low sample sizes are difficult to model. Yet, it often important know the habitat associations poorly known guide conservation efforts. Techniques have been proposed for modelling species’ distributions from a few records, but their performance relative one another has not compared. Because these built and evaluated small data ...

Climate change presents unprecedented challenges for biological conservation. Agencies are increasingly looking to modeled projections of species’ distributions under future climates to inform management strategies. As government scientists with a responsibility to communicate the best available science to our policy colleagues, we question whether current modeling approaches and outputs are pr...

Although the literature studying software development methodologies (SDMs) lists several significant positive effects of the deployment of SDMs, investments into SDMs by the enterprises remain relatively limited. Strategic investments decisions, such as SDMs investments, are mostly taken with the goal of improving enterprise performance. In this paper a model for evaluation of the adoption of S...

10 11 12. CC-BY-NC-ND 4.0 International license peer-reviewed) is the author/funder. It is made available under a The copyright holder for this preprint (which was not. Abstract 13 14 Background: Species distribution models (SDMs) have an important role in predicting the range 15

Species distribution model (SDM) projections under future climate scenarios are increasingly being used to inform resource management and conservation strategies. A critical assumption for projecting climate change responses is that SDMs are transferable through time, an assumption that is largely untested because investigators often lack temporally independent data for assessing transferabilit...

Species distribution models (SDMs) are a tool for predicting the eventual geographical range of an emerging pathogen. Most SDMs, however, rely on an assumption of equilibrium with the environment, which an emerging pathogen, by definition, has not reached. To determine if some SDM approaches work better than others for modelling the spread of emerging, non-equilibrium pathogens, we studied time...

Understanding cetacean distribution is essential for conservation planning and decision-making, particularly in regions subject to rapid environmental changes. Nevertheless, information on their spatiotemporal commonly limited, especially from remote areas. Species models (SDMs) are powerful tools, relating species occurrences variables predict the species' potential distribution. This study ai...