Mauro Fois

TL;DR: The maximum-entropy algorithm was applied to predict the current and future potential distribution of Rosa arabica Crep to provide a basis for its protection and conservation and can be used to define the high priority areas for reintroduction or for protection against the expected climate change impacts and future modifications.

TL;DR: Among specific applications of species distribution models (SDMs), the use of SDMs probabilistic maps for guiding field surveys is increasingly applied, but the efficiency of different algorithms, metrics for model evaluation and algorithm-specific settings have not yet been sufficiently investigated.

TL;DR: In this article, the authors developed a maximum entropy (Maxent) model for the endangered Gentiana lutea L. in Sardinia with the aims of guiding survey efforts, estimating SDMs utility by post-test species current/extinct localities through the Observed Positive Predictive Power (OPPP) values, and evaluating the influence of sample data addition.

TL;DR: In this paper, a comprehensive biogeographical scheme for Sardinia based on endemic vascular plant distributions, together with geological and geomorphological units, is presented, and the presence of 290 vascular endemic taxa from the literature, herbarium specimens and field investigators' research.

TL;DR: In this paper, a comprehensive biogeographical scheme for Sardinia based on endemic vascular plant distributions, together with geological and geomorphological units is presented, which helps to define area-based conservation strategies in Sardinia.