Reference : Using zero-inflated models to predict the relative distribution and abundance of roe ...
Scientific journals : Article
Life sciences : Environmental sciences & ecology
http://hdl.handle.net/2268/172688
Using zero-inflated models to predict the relative distribution and abundance of roe deer over very large spatial scales
English
[fr] Utilisation de modèles zero-inflated pour prédire la distribution et l'abondance relative du chevreuil à large échelle
Bouyer, Yaëlle mailto [Université de Liège - ULiège > Département de Biologie, Ecologie et Evolution > Biologie du comportement - Ethologie et psychologie animale >]
Rigot, Thibaud [> >]
Panzacchi, Manuela [> >]
Van Moorter, Bram [> >]
Poncin, Pascal mailto [Université de Liège - ULiège > Département de Biologie, Ecologie et Evolution > Biologie du comportement - Ethologie et psychologie animale >]
Beudels-Jamar, Roseline [> >]
Odden, John [> >]
Linnell, John [> >]
2015
Annales Zoologici Fennici
Finnish Zoological and Botanical Publishing Board
52
Yes (verified by ORBi)
International
0003-455X
Helsinki
Finland
[en] carnivore conservation ; external evaluation ; herbivore distribution ; pellets
[en] In Norway, recovering populations of large carnivores commonly prey on roe deer (Capreolus capreolus). Understanding predator habitat use and ecology requires fine-scaled information on prey distribution and abundance. However, the massive spatial scales at which large carnivores use the landscape presents many practical and statistical challenges for developing functional prey distribution models. Pellet-count data from >1000 km of transects gathered across southeastern Norway from 2005 to 2011 were used to derive a map of relative prey abundance for roe deer. These data were modeled using zero-inflated hurdle models using both environmental and anthropogenic variables. Snow depth and agricultural fields were the most significant variables in explaining both presence and abundance. Internal k-cross validation of the model showed medium accuracy (Spearman r = 0.35), whereas external evaluation carried out on the basis of independently collected snow-tracking data (Spearman r = 0.37) and hunting statistics (Spearman r = 0.88) showed high accuracy. The map generated can facilitate both the study of broad scale processes linking predators and prey as well as roe deer management in southeastern Norway.
Fonds de la Recherche Scientifique (Communauté française de Belgique) - F.R.S.-FNRS ; Norwegian Directorate for Nature Management ; Research Council of Norway ; Offices of Environmental Affairs in the counties of Oslo & Akershus, Østfold, Vestfold, Telemark and Buskerud
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/172688

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