Combined effects of landscape fragmentation and sampling frequency of movement data on the assessment of landscape connectivity.

ABSTRACT:

Background

Network theory is largely applied in real-world systems to assess landscape connectivity using empirical or theoretical networks. Empirical networks are usually built from discontinuous individual movement trajectories without knowing the effect of relocation frequency on the assessment of landscape connectivity while theoretical networks generally rely on simple movement rules. We investigated the combined effects of relocation sampling frequency and landscape fragmentation on the assessment of landscape connectivity using simulated trajectories and empirical high-resolution (1 Hz) trajectories of Alpine ibex (Capra ibex). We also quantified the capacity of commonly used theoretical networks to accurately predict landscape connectivity from multiple movement processes.<

SUBMITTER: Prima MC 

PROVIDER: S-EPMC11385819 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature