Non-invasive genetic sampling to predict wolf distribution and habitat suitability in the Northern Italian Apennines:implications for livestock depredation risk
Non-invasive genetic sampling has been used to reconstruct spatial patterns of carnivore distributions, identify regions where conflicts with human activities could threaten the survival of a species, and assess the effectiveness of conservation strategies. In this study, we used detailed informatio...
Published in: | European Journal of Wildlife Research |
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2015
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Online Access: | https://vbn.aau.dk/da/publications/18896a7f-7967-46cc-a9ab-87b18a3ead49 https://doi.org/10.1007/s10344-015-0942-4 http://www.scopus.com/inward/record.url?scp=84942370318&partnerID=8YFLogxK |
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ftalborgunivpubl:oai:pure.atira.dk:publications/18896a7f-7967-46cc-a9ab-87b18a3ead49 2024-09-09T19:35:33+00:00 Non-invasive genetic sampling to predict wolf distribution and habitat suitability in the Northern Italian Apennines:implications for livestock depredation risk Milanesi, P. Caniglia, R. Fabbri, E. Galaverni, M. Meriggi, A. Randi, E. 2015-07-24 https://vbn.aau.dk/da/publications/18896a7f-7967-46cc-a9ab-87b18a3ead49 https://doi.org/10.1007/s10344-015-0942-4 http://www.scopus.com/inward/record.url?scp=84942370318&partnerID=8YFLogxK eng eng https://vbn.aau.dk/da/publications/18896a7f-7967-46cc-a9ab-87b18a3ead49 info:eu-repo/semantics/closedAccess Milanesi , P , Caniglia , R , Fabbri , E , Galaverni , M , Meriggi , A & Randi , E 2015 , ' Non-invasive genetic sampling to predict wolf distribution and habitat suitability in the Northern Italian Apennines : implications for livestock depredation risk ' , European Journal of Wildlife Research , vol. 61 , no. 5 , pp. 681-689 . https://doi.org/10.1007/s10344-015-0942-4 Canis lupus Depredation risk GNESFA Habitat suitability Non-invasive genetics Presence-only data Season-specific models article 2015 ftalborgunivpubl https://doi.org/10.1007/s10344-015-0942-4 2024-07-10T12:49:12Z Non-invasive genetic sampling has been used to reconstruct spatial patterns of carnivore distributions, identify regions where conflicts with human activities could threaten the survival of a species, and assess the effectiveness of conservation strategies. In this study, we used detailed information on wolf (Canis lupus) and livestock distributions to infer depredation risks in a wide area of the Italian Apennines. We carried out a General Niche Environment System Factor Analysis (GNESFA) to define the potential distribution of wolves genotyped from 8565 samples collected during 12 years of non-invasive genetic monitoring in 3622 locations. Habitat suitability models indicated that the proportion of meadows, altitude, slope, roughness, and distance from human settlements were the main factors positively related to the potential wolf distribution, in contrast with the extension of cultivated fields and human settlements. Results of GNESFA were used to infer the local depredation risk, which was high in 46.9 % of the pastures, and to rank the areas where prevention tools should be used with priority. In this way, the use of often-limited financial resources for prevention could be promoted in pastures with the highest depredation risk and conflicts between husbandry and wolf presence might be mitigated. Article in Journal/Newspaper Canis lupus Aalborg University's Research Portal European Journal of Wildlife Research 61 5 681 689 |
institution |
Open Polar |
collection |
Aalborg University's Research Portal |
op_collection_id |
ftalborgunivpubl |
language |
English |
topic |
Canis lupus Depredation risk GNESFA Habitat suitability Non-invasive genetics Presence-only data Season-specific models |
spellingShingle |
Canis lupus Depredation risk GNESFA Habitat suitability Non-invasive genetics Presence-only data Season-specific models Milanesi, P. Caniglia, R. Fabbri, E. Galaverni, M. Meriggi, A. Randi, E. Non-invasive genetic sampling to predict wolf distribution and habitat suitability in the Northern Italian Apennines:implications for livestock depredation risk |
topic_facet |
Canis lupus Depredation risk GNESFA Habitat suitability Non-invasive genetics Presence-only data Season-specific models |
description |
Non-invasive genetic sampling has been used to reconstruct spatial patterns of carnivore distributions, identify regions where conflicts with human activities could threaten the survival of a species, and assess the effectiveness of conservation strategies. In this study, we used detailed information on wolf (Canis lupus) and livestock distributions to infer depredation risks in a wide area of the Italian Apennines. We carried out a General Niche Environment System Factor Analysis (GNESFA) to define the potential distribution of wolves genotyped from 8565 samples collected during 12 years of non-invasive genetic monitoring in 3622 locations. Habitat suitability models indicated that the proportion of meadows, altitude, slope, roughness, and distance from human settlements were the main factors positively related to the potential wolf distribution, in contrast with the extension of cultivated fields and human settlements. Results of GNESFA were used to infer the local depredation risk, which was high in 46.9 % of the pastures, and to rank the areas where prevention tools should be used with priority. In this way, the use of often-limited financial resources for prevention could be promoted in pastures with the highest depredation risk and conflicts between husbandry and wolf presence might be mitigated. |
format |
Article in Journal/Newspaper |
author |
Milanesi, P. Caniglia, R. Fabbri, E. Galaverni, M. Meriggi, A. Randi, E. |
author_facet |
Milanesi, P. Caniglia, R. Fabbri, E. Galaverni, M. Meriggi, A. Randi, E. |
author_sort |
Milanesi, P. |
title |
Non-invasive genetic sampling to predict wolf distribution and habitat suitability in the Northern Italian Apennines:implications for livestock depredation risk |
title_short |
Non-invasive genetic sampling to predict wolf distribution and habitat suitability in the Northern Italian Apennines:implications for livestock depredation risk |
title_full |
Non-invasive genetic sampling to predict wolf distribution and habitat suitability in the Northern Italian Apennines:implications for livestock depredation risk |
title_fullStr |
Non-invasive genetic sampling to predict wolf distribution and habitat suitability in the Northern Italian Apennines:implications for livestock depredation risk |
title_full_unstemmed |
Non-invasive genetic sampling to predict wolf distribution and habitat suitability in the Northern Italian Apennines:implications for livestock depredation risk |
title_sort |
non-invasive genetic sampling to predict wolf distribution and habitat suitability in the northern italian apennines:implications for livestock depredation risk |
publishDate |
2015 |
url |
https://vbn.aau.dk/da/publications/18896a7f-7967-46cc-a9ab-87b18a3ead49 https://doi.org/10.1007/s10344-015-0942-4 http://www.scopus.com/inward/record.url?scp=84942370318&partnerID=8YFLogxK |
genre |
Canis lupus |
genre_facet |
Canis lupus |
op_source |
Milanesi , P , Caniglia , R , Fabbri , E , Galaverni , M , Meriggi , A & Randi , E 2015 , ' Non-invasive genetic sampling to predict wolf distribution and habitat suitability in the Northern Italian Apennines : implications for livestock depredation risk ' , European Journal of Wildlife Research , vol. 61 , no. 5 , pp. 681-689 . https://doi.org/10.1007/s10344-015-0942-4 |
op_relation |
https://vbn.aau.dk/da/publications/18896a7f-7967-46cc-a9ab-87b18a3ead49 |
op_rights |
info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.1007/s10344-015-0942-4 |
container_title |
European Journal of Wildlife Research |
container_volume |
61 |
container_issue |
5 |
container_start_page |
681 |
op_container_end_page |
689 |
_version_ |
1809904928822394880 |