Intra-network Analysis Based on Comparison Between Graph Theory Approach and Pathwalker

Today there is increasing investigation of how to succeed in land operations without damaging delicate natural ecosystems. Over the past century, the planning of land interventions operated without following a guideline has led to fragmentation of ecosystems and progressive biodiversity loss. Several strategies have emerged in this regard to identify corridors and protected areas on the territory. It is important to compare the very many strategies in the scientific landscape in order to assess the levels of correlation present among them and to understand how to be able to exploit the products of the analyses in our favor in the planning sphere on a territory threatened by pressing anthropization. The present work compared movement simulations produced by Pathwalker software and corridors identified on the territory by Graphab software. In particular, we took advantage of Pathwalker's ability to evaluate movement predictions by taking into account factors such as mortality risk, attraction and energy in the simulation. This work was important because it allowed to classify predictions according to scales of reliability. In particular, we classified the connectivity indices obtained from the elaborations in Graphab according to 4 levels of reliability ranging from a high degree of consistency to a low degree of consistency. Pathwalker simulations were compared to the above indices to assess similarities and differences. This work is important as it allows to give exploit the combination between different connectivity prediction models provide concrete tool to the planner at decision making time.