Large carnivore habitat suitability modelling for Romania and associated predictions for protected areas

• Published in: PeerJ
• Main Authors: Bogdan Cristescu, Csaba Domokos, Kristine J. Teichman, Scott E. Nielsen
• Format: Article in Journal/Newspaper
• Language: English
• Published: PeerJ Inc. 2019
• Subjects: Canis lupus; Carnivore occurrence; National park; Gap analysis; Ursus arctos; Natura 2000; Medicine; R; Biology (General); QH301-705.5; gray wolf; Lynx; Lynx lynx lynx
• Online Access: https://doi.org/10.7717/peerj.6549; https://doaj.org/article/9040814b2efa42cb867f4d2c3906ef77

Habitat characteristics associated with species occurrences represent important baseline information for wildlife management and conservation, but have rarely been assessed for countries recently joining the EU. We used footprint tracking data and landscape characteristics in Romania to investigate the occurrence of brown bear (Ursus arctos), gray wolf (Canis lupus) and Eurasian lynx (Lynx lynx) and to compare model predictions between Natura 2000 and national-level protected areas (gap analysis). Wolves were more likely to occur where rugged terrain was present. Increasing proportion of forest was positively associated with occurrence of all large carnivores, but forest type (broadleaf, mixed, or conifer) generally varied with carnivore species. Areas where cultivated lands were extensive had little suitable habitat for lynx, whereas bear occurrence probability decreased with increasing proportion of built areas. Pastures were positively associated with wolf and lynx occurrence. Brown bears occurred primarily where national roads with high traffic volumes were at low density, while bears and lynx occurred at medium-high densities of communal roads that had lower traffic volumes. Based on predictions of carnivore distributions, natural areas protected in national parks were most suitable for carnivores, nature parks were less suitable, whereas EU-legislated Natura 2000 sites had the lowest probability of carnivore presence. Our spatially explicit carnivore habitat suitability predictions can be used by managers to amend borders of existing sites, delineate new protected areas, and establish corridors for ecological connectivity. To assist recovery and recolonization, management could also focus on habitat predicted to be suitable but where carnivores were not tracked.