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: Mariano R. Recio, Barbara Zimmermann, Camilla Wikenros, Andreas Zetterberg, Petter Wabakken, Håkan Sand
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2018
Subjects:
Computer applications to medicine. Medical informatics
R858-859.7
Science (General)
Q1-390
Norway
Canis lupus
Online Access:https://doi.org/10.1016/j.dib.2018.08.060
https://doaj.org/article/2d6b9e6a158a4257ad212bce50b739f6
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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