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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ftpubmed:oai:pubmedcentral.nih.gov:6129723 2023-05-15T15:49:56+02:00 Data to model risks for recolonizing wolves in Scandinavia through the integration of territory presence and human-driven mortalities Recio, Mariano R. Zimmermann, Barbara Wikenros, Camilla Zetterberg, Andreas Wabakken, Petter Sand, Håkan 2018-08-28 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6129723/ https://doi.org/10.1016/j.dib.2018.08.060 en eng Elsevier http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6129723/ http://dx.doi.org/10.1016/j.dib.2018.08.060 © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). CC-BY Agricultural and Biological Science Text 2018 ftpubmed https://doi.org/10.1016/j.dib.2018.08.060 2018-09-16T00:22:54Z 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. Text Canis lupus PubMed Central (PMC) Norway Data in Brief 20 686 690 |
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PubMed Central (PMC) |
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ftpubmed |
language |
English |
topic |
Agricultural and Biological Science |
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Agricultural and Biological Science Recio, Mariano R. Zimmermann, Barbara Wikenros, Camilla Zetterberg, Andreas Wabakken, Petter Sand, Håkan Data to model risks for recolonizing wolves in Scandinavia through the integration of territory presence and human-driven mortalities |
topic_facet |
Agricultural and Biological Science |
description |
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. |
format |
Text |
author |
Recio, Mariano R. Zimmermann, Barbara Wikenros, Camilla Zetterberg, Andreas Wabakken, Petter Sand, Håkan |
author_facet |
Recio, Mariano R. Zimmermann, Barbara Wikenros, Camilla Zetterberg, Andreas Wabakken, Petter Sand, Håkan |
author_sort |
Recio, Mariano R. |
title |
Data to model risks for recolonizing wolves in Scandinavia through the integration of territory presence and human-driven mortalities |
title_short |
Data to model risks for recolonizing wolves in Scandinavia through the integration of territory presence and human-driven mortalities |
title_full |
Data to model risks for recolonizing wolves in Scandinavia through the integration of territory presence and human-driven mortalities |
title_fullStr |
Data to model risks for recolonizing wolves in Scandinavia through the integration of territory presence and human-driven mortalities |
title_full_unstemmed |
Data to model risks for recolonizing wolves in Scandinavia through the integration of territory presence and human-driven mortalities |
title_sort |
data to model risks for recolonizing wolves in scandinavia through the integration of territory presence and human-driven mortalities |
publisher |
Elsevier |
publishDate |
2018 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6129723/ https://doi.org/10.1016/j.dib.2018.08.060 |
geographic |
Norway |
geographic_facet |
Norway |
genre |
Canis lupus |
genre_facet |
Canis lupus |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6129723/ http://dx.doi.org/10.1016/j.dib.2018.08.060 |
op_rights |
© 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1016/j.dib.2018.08.060 |
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Data in Brief |
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20 |
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686 |
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690 |
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1766384945903697920 |