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...
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Online Access: | https://hdl.handle.net/11585/927297 https://doi.org/10.1007/s10344-015-0942-4 |
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ftunibolognairis:oai:cris.unibo.it:11585/927297 2024-04-28T08:15:28+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. Milanesi P. Caniglia R. Fabbri E. Galaverni M. Meriggi A. Randi E. 2015 ELETTRONICO https://hdl.handle.net/11585/927297 https://doi.org/10.1007/s10344-015-0942-4 eng eng info:eu-repo/semantics/altIdentifier/wos/WOS:000361649600004 volume:61 issue:5 firstpage:681 lastpage:689 numberofpages:9 journal:EUROPEAN JOURNAL OF WILDLIFE RESEARCH https://hdl.handle.net/11585/927297 doi:10.1007/s10344-015-0942-4 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84942370318 Canis lupu Depredation risk GNESFA Habitat suitability Non-invasive genetic Presence-only data Season-specific models info:eu-repo/semantics/article 2015 ftunibolognairis https://doi.org/10.1007/s10344-015-0942-4 2024-04-05T00:29:58Z 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 12years 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 IRIS Università degli Studi di Bologna (CRIS - Current Research Information System) European Journal of Wildlife Research 61 5 681 689 |
institution |
Open Polar |
collection |
IRIS Università degli Studi di Bologna (CRIS - Current Research Information System) |
op_collection_id |
ftunibolognairis |
language |
English |
topic |
Canis lupu Depredation risk GNESFA Habitat suitability Non-invasive genetic Presence-only data Season-specific models |
spellingShingle |
Canis lupu Depredation risk GNESFA Habitat suitability Non-invasive genetic 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 lupu Depredation risk GNESFA Habitat suitability Non-invasive genetic 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 12years 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. |
author2 |
Milanesi P. Caniglia R. Fabbri E. Galaverni M. Meriggi A. Randi E. |
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://hdl.handle.net/11585/927297 https://doi.org/10.1007/s10344-015-0942-4 |
genre |
Canis lupus |
genre_facet |
Canis lupus |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/WOS:000361649600004 volume:61 issue:5 firstpage:681 lastpage:689 numberofpages:9 journal:EUROPEAN JOURNAL OF WILDLIFE RESEARCH https://hdl.handle.net/11585/927297 doi:10.1007/s10344-015-0942-4 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84942370318 |
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 |
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1797581006426865664 |