Predicting spatio-temporal recolonization of large carnivore populations and livestock depredation risk: wolves in the Italian Alps
1. Wolves Canis lupus recently recolonized the Western Alps through dispersal from the Italian Apennines, representing one of several worldwide examples of large carnivores increasing in highly human-dominated landscapes. Understanding and predicting expansion of this population is important for con...
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description | 1. Wolves Canis lupus recently recolonized the Western Alps through dispersal from the Italian Apennines, representing one of several worldwide examples of large carnivores increasing in highly human-dominated landscapes. Understanding and predicting expansion of this population is important for conservation because of its direct impact on livestock and its high level of societal opposition. 2. We built a predictive, spatially explicit, individual-based model to examine wolf population expansion in this fragmented landscape, and livestock depredation risk. We developed the model based on known demographic processes, social structure, behaviour and habitat selection of wolves collected during a 10-year intensive field study of this wolf population. 3. During model validation, our model accurately described the recolonization process within the Italian Alps, correctly predicting wolf pack locations, pack numbers and wolf population size, between 1999 and 2008. 4. We then projected packs and dispersers over the entire Italian Alps for 2013, 2018 and 2023. We predicted 25 packs (95% CI: 19-32) in 2013, 36 (23-47) in 2018 and 49 (29-68) in 2023. The South-Western Alps were the main source for wolves repopulating the Alps from 1999 to 2008. The source area for further successful dispersers will probably shift to the North-Western Alps after 2008, but the large lakes in the Central Alps will probably act as a spatial barrier slowing the wolf expansion. 5. Using the pack presence forecasts, we estimated spatially explicit wolf depredation risk on livestock, allowing tailored local and regional management actions. 6. Synthesis and applications. Our predictive model is novel because we follow the spatio-temporal dynamics of packs, not just population size, which have substantially different requirements and impacts on wolf-human conflicts than wandering dispersers. Our approach enables prioritization of management efforts, including minimizing livestock depredations, identifying important corridors and barriers, and locating future source populations for successful wolf recolonization of the Alps. |
doi_str_mv | 10.1111/j.1365-2664.2010.01831.x |
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Wolves Canis lupus recently recolonized the Western Alps through dispersal from the Italian Apennines, representing one of several worldwide examples of large carnivores increasing in highly human-dominated landscapes. Understanding and predicting expansion of this population is important for conservation because of its direct impact on livestock and its high level of societal opposition. 2. We built a predictive, spatially explicit, individual-based model to examine wolf population expansion in this fragmented landscape, and livestock depredation risk. We developed the model based on known demographic processes, social structure, behaviour and habitat selection of wolves collected during a 10-year intensive field study of this wolf population. 3. During model validation, our model accurately described the recolonization process within the Italian Alps, correctly predicting wolf pack locations, pack numbers and wolf population size, between 1999 and 2008. 4. We then projected packs and dispersers over the entire Italian Alps for 2013, 2018 and 2023. We predicted 25 packs (95% CI: 19-32) in 2013, 36 (23-47) in 2018 and 49 (29-68) in 2023. The South-Western Alps were the main source for wolves repopulating the Alps from 1999 to 2008. The source area for further successful dispersers will probably shift to the North-Western Alps after 2008, but the large lakes in the Central Alps will probably act as a spatial barrier slowing the wolf expansion. 5. Using the pack presence forecasts, we estimated spatially explicit wolf depredation risk on livestock, allowing tailored local and regional management actions. 6. Synthesis and applications. Our predictive model is novel because we follow the spatio-temporal dynamics of packs, not just population size, which have substantially different requirements and impacts on wolf-human conflicts than wandering dispersers. Our approach enables prioritization of management efforts, including minimizing livestock depredations, identifying important corridors and barriers, and locating future source populations for successful wolf recolonization of the Alps.</description><identifier>ISSN: 0021-8901</identifier><identifier>EISSN: 1365-2664</identifier><identifier>DOI: 10.1111/j.1365-2664.2010.01831.x</identifier><identifier>CODEN: JAPEAI</identifier><language>eng</language><publisher>Oxford, UK: Oxford, UK : Blackwell Publishing Ltd</publisher><subject>adaptive management ; Animal populations ; Animal, plant and microbial ecology ; Applied ecology ; Biological and medical sciences ; Canis lupus ; Carnivores ; Connectivity and conservation ; Conservation biology ; Dispersal ; Ecological modeling ; Fundamental and applied biological sciences. Psychology ; General aspects ; Habitat conservation ; Habitat selection ; Habitats ; Landscape ecology ; Landscapes ; Livestock ; Mammalia ; Modeling ; Mortality ; Population growth ; Population number ; Prediction models ; Recolonization ; SELES ; Social conditions ; social structure ; Spatial models ; spatially explicit individual‐based model ; Vertebrates: general zoology, morphology, phylogeny, systematics, cytogenetics, geographical distribution ; wolf ; Wolves</subject><ispartof>The Journal of applied ecology, 2010-08, Vol.47 (4), p.789-798</ispartof><rights>2010 British Ecological Society</rights><rights>2010 The Authors. Journal compilation © 2010 British Ecological Society</rights><rights>2015 INIST-CNRS</rights><rights>Copyright Blackwell Publishing Ltd. Aug 2010</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4481-14c766386118586bd558691cbec12708cc7bd3b768b505a03a1b760d5b6c39783</citedby><cites>FETCH-LOGICAL-c4481-14c766386118586bd558691cbec12708cc7bd3b768b505a03a1b760d5b6c39783</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/40835697$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/40835697$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,777,781,800,1412,1428,27905,27906,45555,45556,46390,46814,57998,58231</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22981174$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Marucco, F</creatorcontrib><creatorcontrib>McIntire, E.J.B</creatorcontrib><title>Predicting spatio-temporal recolonization of large carnivore populations and livestock depredation risk: wolves in the Italian Alps</title><title>The Journal of applied ecology</title><description>1. Wolves Canis lupus recently recolonized the Western Alps through dispersal from the Italian Apennines, representing one of several worldwide examples of large carnivores increasing in highly human-dominated landscapes. Understanding and predicting expansion of this population is important for conservation because of its direct impact on livestock and its high level of societal opposition. 2. We built a predictive, spatially explicit, individual-based model to examine wolf population expansion in this fragmented landscape, and livestock depredation risk. We developed the model based on known demographic processes, social structure, behaviour and habitat selection of wolves collected during a 10-year intensive field study of this wolf population. 3. During model validation, our model accurately described the recolonization process within the Italian Alps, correctly predicting wolf pack locations, pack numbers and wolf population size, between 1999 and 2008. 4. We then projected packs and dispersers over the entire Italian Alps for 2013, 2018 and 2023. We predicted 25 packs (95% CI: 19-32) in 2013, 36 (23-47) in 2018 and 49 (29-68) in 2023. The South-Western Alps were the main source for wolves repopulating the Alps from 1999 to 2008. The source area for further successful dispersers will probably shift to the North-Western Alps after 2008, but the large lakes in the Central Alps will probably act as a spatial barrier slowing the wolf expansion. 5. Using the pack presence forecasts, we estimated spatially explicit wolf depredation risk on livestock, allowing tailored local and regional management actions. 6. Synthesis and applications. Our predictive model is novel because we follow the spatio-temporal dynamics of packs, not just population size, which have substantially different requirements and impacts on wolf-human conflicts than wandering dispersers. Our approach enables prioritization of management efforts, including minimizing livestock depredations, identifying important corridors and barriers, and locating future source populations for successful wolf recolonization of the Alps.</description><subject>adaptive management</subject><subject>Animal populations</subject><subject>Animal, plant and microbial ecology</subject><subject>Applied ecology</subject><subject>Biological and medical sciences</subject><subject>Canis lupus</subject><subject>Carnivores</subject><subject>Connectivity and conservation</subject><subject>Conservation biology</subject><subject>Dispersal</subject><subject>Ecological modeling</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects</subject><subject>Habitat conservation</subject><subject>Habitat selection</subject><subject>Habitats</subject><subject>Landscape ecology</subject><subject>Landscapes</subject><subject>Livestock</subject><subject>Mammalia</subject><subject>Modeling</subject><subject>Mortality</subject><subject>Population growth</subject><subject>Population number</subject><subject>Prediction models</subject><subject>Recolonization</subject><subject>SELES</subject><subject>Social conditions</subject><subject>social structure</subject><subject>Spatial models</subject><subject>spatially explicit individual‐based model</subject><subject>Vertebrates: general zoology, morphology, phylogeny, systematics, cytogenetics, geographical distribution</subject><subject>wolf</subject><subject>Wolves</subject><issn>0021-8901</issn><issn>1365-2664</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqNkctrFDEcxwdRcK3-CWIQpKdZ80smjxE8lFK1UrCgPYdMJrtmmk3GZLYPr_7jZjplD57MIa_vg5BPVSHAayjj_bAGyllNOG_WBJdbDJLC-u5JtToIT6sVxgRq2WJ4Xr3IecAYt4zSVfXnMtnemcmFLcqjnlysJ7sbY9IeJWuij8H9nq8DihvkddpaZHQK7iYmi8Y47v2DmpEOPfLuxuYpmmvU27EUL8Hk8vUHdBt9EZELaPpp0fmkvdMBnfgxv6yebbTP9tXjelRdfTr7cfqlvvj2-fz05KI2TSOhhsYIzqnkAJJJ3vWszC2YzhogAktjRNfTTnDZMcw0phrKAfes44a2QtKj6njpHVP8tS8PVTuXjfVeBxv3WYmGk_JljBfn23-cQ9ynUB6nmMRAQAhSTHIxmRRzTnajxuR2Ot0rwGpmowY1I1AzAjWzUQ9s1F2Jvnvs19lov0k6GJcPeUJaCSCa4vu4-G6dt_f_3a--Xp7Nu5J_veSHQiUd8g2WlPFWFP3Nom90VHpbQKmr76WJliIOBFP6F918tdA</recordid><startdate>201008</startdate><enddate>201008</enddate><creator>Marucco, F</creator><creator>McIntire, E.J.B</creator><general>Oxford, UK : Blackwell Publishing Ltd</general><general>Blackwell Publishing</general><general>Blackwell Publishing Ltd</general><general>Blackwell</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7SS</scope><scope>7T7</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7ST</scope><scope>7U1</scope><scope>7U2</scope><scope>7U6</scope><scope>F1W</scope><scope>H97</scope><scope>L.G</scope></search><sort><creationdate>201008</creationdate><title>Predicting spatio-temporal recolonization of large carnivore populations and livestock depredation risk: wolves in the Italian Alps</title><author>Marucco, F ; McIntire, E.J.B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4481-14c766386118586bd558691cbec12708cc7bd3b768b505a03a1b760d5b6c39783</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>adaptive management</topic><topic>Animal populations</topic><topic>Animal, plant and microbial ecology</topic><topic>Applied ecology</topic><topic>Biological and medical sciences</topic><topic>Canis lupus</topic><topic>Carnivores</topic><topic>Connectivity and conservation</topic><topic>Conservation biology</topic><topic>Dispersal</topic><topic>Ecological modeling</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects</topic><topic>Habitat conservation</topic><topic>Habitat selection</topic><topic>Habitats</topic><topic>Landscape ecology</topic><topic>Landscapes</topic><topic>Livestock</topic><topic>Mammalia</topic><topic>Modeling</topic><topic>Mortality</topic><topic>Population growth</topic><topic>Population number</topic><topic>Prediction models</topic><topic>Recolonization</topic><topic>SELES</topic><topic>Social conditions</topic><topic>social structure</topic><topic>Spatial models</topic><topic>spatially explicit individual‐based model</topic><topic>Vertebrates: general zoology, morphology, phylogeny, systematics, cytogenetics, geographical distribution</topic><topic>wolf</topic><topic>Wolves</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Marucco, F</creatorcontrib><creatorcontrib>McIntire, E.J.B</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>Environment Abstracts</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Sustainability Science Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>The Journal of applied ecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Marucco, F</au><au>McIntire, E.J.B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting spatio-temporal recolonization of large carnivore populations and livestock depredation risk: wolves in the Italian Alps</atitle><jtitle>The Journal of applied ecology</jtitle><date>2010-08</date><risdate>2010</risdate><volume>47</volume><issue>4</issue><spage>789</spage><epage>798</epage><pages>789-798</pages><issn>0021-8901</issn><eissn>1365-2664</eissn><coden>JAPEAI</coden><abstract>1. Wolves Canis lupus recently recolonized the Western Alps through dispersal from the Italian Apennines, representing one of several worldwide examples of large carnivores increasing in highly human-dominated landscapes. Understanding and predicting expansion of this population is important for conservation because of its direct impact on livestock and its high level of societal opposition. 2. We built a predictive, spatially explicit, individual-based model to examine wolf population expansion in this fragmented landscape, and livestock depredation risk. We developed the model based on known demographic processes, social structure, behaviour and habitat selection of wolves collected during a 10-year intensive field study of this wolf population. 3. During model validation, our model accurately described the recolonization process within the Italian Alps, correctly predicting wolf pack locations, pack numbers and wolf population size, between 1999 and 2008. 4. We then projected packs and dispersers over the entire Italian Alps for 2013, 2018 and 2023. We predicted 25 packs (95% CI: 19-32) in 2013, 36 (23-47) in 2018 and 49 (29-68) in 2023. The South-Western Alps were the main source for wolves repopulating the Alps from 1999 to 2008. The source area for further successful dispersers will probably shift to the North-Western Alps after 2008, but the large lakes in the Central Alps will probably act as a spatial barrier slowing the wolf expansion. 5. Using the pack presence forecasts, we estimated spatially explicit wolf depredation risk on livestock, allowing tailored local and regional management actions. 6. Synthesis and applications. Our predictive model is novel because we follow the spatio-temporal dynamics of packs, not just population size, which have substantially different requirements and impacts on wolf-human conflicts than wandering dispersers. Our approach enables prioritization of management efforts, including minimizing livestock depredations, identifying important corridors and barriers, and locating future source populations for successful wolf recolonization of the Alps.</abstract><cop>Oxford, UK</cop><pub>Oxford, UK : Blackwell Publishing Ltd</pub><doi>10.1111/j.1365-2664.2010.01831.x</doi><tpages>10</tpages></addata></record> |
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subjects | adaptive management Animal populations Animal, plant and microbial ecology Applied ecology Biological and medical sciences Canis lupus Carnivores Connectivity and conservation Conservation biology Dispersal Ecological modeling Fundamental and applied biological sciences. Psychology General aspects Habitat conservation Habitat selection Habitats Landscape ecology Landscapes Livestock Mammalia Modeling Mortality Population growth Population number Prediction models Recolonization SELES Social conditions social structure Spatial models spatially explicit individual‐based model Vertebrates: general zoology, morphology, phylogeny, systematics, cytogenetics, geographical distribution wolf Wolves |
title | Predicting spatio-temporal recolonization of large carnivore populations and livestock depredation risk: wolves in the Italian Alps |
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