Data to model risks for recolonizing wolves in Scandinavia through the integration of territory presence and human-driven mortalities

This dataset article describes the data and sources used to model risks for the recolonizing wolf (Canis lupus) in Sweden and Norway in the article “Integrated spatially-explicit models predict pervasive risks to recolonizing wolves in Scandinavia from human-driven mortality” (Recio et al., 2018). P...

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Bibliographic Details
Published in:Data in Brief
Main Authors: Recio, Mariano R., Zimmermann, Barbara, Wikenros, Camilla, Zetterberg, Andreas, Wabakken, Petter, Sand, Håkan
Format: Text
Language:English
Published: Elsevier 2018
Subjects:
Agricultural and Biological Science
Norway
Canis lupus
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6129723/
https://doi.org/10.1016/j.dib.2018.08.060
Description
Summary:This dataset article describes the data and sources used to model risks for the recolonizing wolf (Canis lupus) in Sweden and Norway in the article “Integrated spatially-explicit models predict pervasive risks to recolonizing wolves in Scandinavia from human-driven mortality” (Recio et al., 2018). Presences on wolf territories were used to model the potential distribution of the species. Presences of human-driven mortalities including traffic collisions, culling (protective/defensive, and licensed hunting), and illegal killing (i.e. poaching) were used to model predictions on the distribution of these mortalities. Sources for the independent variables used for the models are also described.

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