Environmental field conditions and sampling effort affect the molecular identification success of livestock predators
Abstract For centuries, wolf depredation on livestock has triggered human–wildlife conflicts throughout Europe. Free-ranging dogs, however, are increasingly abundant and may also act as predators of livestock herds. This calls for combined efforts aimed at identifying the causes of depredation event...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Lino, Sofia [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) under exclusive licence to Deutsche Gesellschaft für Säugetierkunde 2023 |
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| Übergeordnetes Werk: |
Enthalten in: Mammalian biology - Amsterdam [u.a.] : Elsevier, 1999, 103(2023), 3 vom: 02. Feb., Seite 339-345 |
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| Übergeordnetes Werk: |
volume:103 ; year:2023 ; number:3 ; day:02 ; month:02 ; pages:339-345 |
| Links: |
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| DOI / URN: |
10.1007/s42991-023-00347-6 |
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| Katalog-ID: |
SPR051595346 |
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| 520 | |a Abstract For centuries, wolf depredation on livestock has triggered human–wildlife conflicts throughout Europe. Free-ranging dogs, however, are increasingly abundant and may also act as predators of livestock herds. This calls for combined efforts aimed at identifying the causes of depredation events and optimizing the procedures towards predators’ identification. Here, we analysed 56 livestock depredation events in central Portugal, an area where conflict between wolves and human populations takes place. We estimated the mean minimum sampling effort (number of swabs) required to detect at least one potential predator and examined how extrinsic factors (i.e. time, meteorological conditions and vegetation cover) drive sample degradation and predator identification success. Free-ranging dogs were the only putative predator detected in most attacks (66%). Results indicate that a minimum of three swabs are needed to detect at least one predator, but using at least four would substantially increase the detection rate. We found that the longer the interval between an attack and sample collection and the higher the local humidity, the lower is the probability of identification success. On the other hand, higher temperatures and precipitation levels seem to be associated with a higher probability of success. The unexpected positive effect of precipitation may be linked to specific environmental contexts (i.e. higher precipitation levels in colder weather may still favour sample conservation). As identification success depends on time and weather conditions, the time span between a depredation event and sample collection should be reduced whenever possible, and sufficient samples should be collected to ensure an adequate detection success. | ||
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| 650 | 4 | |a Livestock depredation |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Non-invasive genetic sampling |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Sampling effort |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a DNA degradation |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Lino, Ana |0 (orcid)0000-0001-8879-8923 |4 aut | |
| 700 | 1 | |a Fernandes, Joana M. |0 (orcid)0000-0001-5602-1490 |4 aut | |
| 700 | 1 | |a Ferreira, Eduardo |0 (orcid)0000-0003-0497-6118 |4 aut | |
| 700 | 1 | |a Fonseca, Carlos |0 (orcid)0000-0001-6559-7133 |4 aut | |
| 700 | 1 | |a Aliácar, Sara |4 aut | |
| 700 | 1 | |a Cadete, Duarte |4 aut | |
| 700 | 1 | |a Rosalino, Luís M. |0 (orcid)0000-0003-4186-7332 |4 aut | |
| 700 | 1 | |a Carvalho, João |0 (orcid)0000-0002-9792-9259 |4 aut | |
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10.1007/s42991-023-00347-6 doi (DE-627)SPR051595346 (SPR)s42991-023-00347-6-e DE-627 ger DE-627 rakwb eng Lino, Sofia verfasserin (orcid)0000-0002-6428-4845 aut Environmental field conditions and sampling effort affect the molecular identification success of livestock predators 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to Deutsche Gesellschaft für Säugetierkunde 2023 Abstract For centuries, wolf depredation on livestock has triggered human–wildlife conflicts throughout Europe. Free-ranging dogs, however, are increasingly abundant and may also act as predators of livestock herds. This calls for combined efforts aimed at identifying the causes of depredation events and optimizing the procedures towards predators’ identification. Here, we analysed 56 livestock depredation events in central Portugal, an area where conflict between wolves and human populations takes place. We estimated the mean minimum sampling effort (number of swabs) required to detect at least one potential predator and examined how extrinsic factors (i.e. time, meteorological conditions and vegetation cover) drive sample degradation and predator identification success. Free-ranging dogs were the only putative predator detected in most attacks (66%). Results indicate that a minimum of three swabs are needed to detect at least one predator, but using at least four would substantially increase the detection rate. We found that the longer the interval between an attack and sample collection and the higher the local humidity, the lower is the probability of identification success. On the other hand, higher temperatures and precipitation levels seem to be associated with a higher probability of success. The unexpected positive effect of precipitation may be linked to specific environmental contexts (i.e. higher precipitation levels in colder weather may still favour sample conservation). As identification success depends on time and weather conditions, the time span between a depredation event and sample collection should be reduced whenever possible, and sufficient samples should be collected to ensure an adequate detection success. Wolf (dpeaa)DE-He213 Dog (dpeaa)DE-He213 Livestock depredation (dpeaa)DE-He213 Non-invasive genetic sampling (dpeaa)DE-He213 Sampling effort (dpeaa)DE-He213 DNA degradation (dpeaa)DE-He213 Lino, Ana (orcid)0000-0001-8879-8923 aut Fernandes, Joana M. (orcid)0000-0001-5602-1490 aut Ferreira, Eduardo (orcid)0000-0003-0497-6118 aut Fonseca, Carlos (orcid)0000-0001-6559-7133 aut Aliácar, Sara aut Cadete, Duarte aut Rosalino, Luís M. (orcid)0000-0003-4186-7332 aut Carvalho, João (orcid)0000-0002-9792-9259 aut Enthalten in Mammalian biology Amsterdam [u.a.] : Elsevier, 1999 103(2023), 3 vom: 02. Feb., Seite 339-345 (DE-627)343512947 (DE-600)2072973-X 1618-1476 nnns volume:103 year:2023 number:3 day:02 month:02 pages:339-345 https://dx.doi.org/10.1007/s42991-023-00347-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 103 2023 3 02 02 339-345 |
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10.1007/s42991-023-00347-6 doi (DE-627)SPR051595346 (SPR)s42991-023-00347-6-e DE-627 ger DE-627 rakwb eng Lino, Sofia verfasserin (orcid)0000-0002-6428-4845 aut Environmental field conditions and sampling effort affect the molecular identification success of livestock predators 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to Deutsche Gesellschaft für Säugetierkunde 2023 Abstract For centuries, wolf depredation on livestock has triggered human–wildlife conflicts throughout Europe. Free-ranging dogs, however, are increasingly abundant and may also act as predators of livestock herds. This calls for combined efforts aimed at identifying the causes of depredation events and optimizing the procedures towards predators’ identification. Here, we analysed 56 livestock depredation events in central Portugal, an area where conflict between wolves and human populations takes place. We estimated the mean minimum sampling effort (number of swabs) required to detect at least one potential predator and examined how extrinsic factors (i.e. time, meteorological conditions and vegetation cover) drive sample degradation and predator identification success. Free-ranging dogs were the only putative predator detected in most attacks (66%). Results indicate that a minimum of three swabs are needed to detect at least one predator, but using at least four would substantially increase the detection rate. We found that the longer the interval between an attack and sample collection and the higher the local humidity, the lower is the probability of identification success. On the other hand, higher temperatures and precipitation levels seem to be associated with a higher probability of success. The unexpected positive effect of precipitation may be linked to specific environmental contexts (i.e. higher precipitation levels in colder weather may still favour sample conservation). As identification success depends on time and weather conditions, the time span between a depredation event and sample collection should be reduced whenever possible, and sufficient samples should be collected to ensure an adequate detection success. Wolf (dpeaa)DE-He213 Dog (dpeaa)DE-He213 Livestock depredation (dpeaa)DE-He213 Non-invasive genetic sampling (dpeaa)DE-He213 Sampling effort (dpeaa)DE-He213 DNA degradation (dpeaa)DE-He213 Lino, Ana (orcid)0000-0001-8879-8923 aut Fernandes, Joana M. (orcid)0000-0001-5602-1490 aut Ferreira, Eduardo (orcid)0000-0003-0497-6118 aut Fonseca, Carlos (orcid)0000-0001-6559-7133 aut Aliácar, Sara aut Cadete, Duarte aut Rosalino, Luís M. (orcid)0000-0003-4186-7332 aut Carvalho, João (orcid)0000-0002-9792-9259 aut Enthalten in Mammalian biology Amsterdam [u.a.] : Elsevier, 1999 103(2023), 3 vom: 02. Feb., Seite 339-345 (DE-627)343512947 (DE-600)2072973-X 1618-1476 nnns volume:103 year:2023 number:3 day:02 month:02 pages:339-345 https://dx.doi.org/10.1007/s42991-023-00347-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 103 2023 3 02 02 339-345 |
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10.1007/s42991-023-00347-6 doi (DE-627)SPR051595346 (SPR)s42991-023-00347-6-e DE-627 ger DE-627 rakwb eng Lino, Sofia verfasserin (orcid)0000-0002-6428-4845 aut Environmental field conditions and sampling effort affect the molecular identification success of livestock predators 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to Deutsche Gesellschaft für Säugetierkunde 2023 Abstract For centuries, wolf depredation on livestock has triggered human–wildlife conflicts throughout Europe. Free-ranging dogs, however, are increasingly abundant and may also act as predators of livestock herds. This calls for combined efforts aimed at identifying the causes of depredation events and optimizing the procedures towards predators’ identification. Here, we analysed 56 livestock depredation events in central Portugal, an area where conflict between wolves and human populations takes place. We estimated the mean minimum sampling effort (number of swabs) required to detect at least one potential predator and examined how extrinsic factors (i.e. time, meteorological conditions and vegetation cover) drive sample degradation and predator identification success. Free-ranging dogs were the only putative predator detected in most attacks (66%). Results indicate that a minimum of three swabs are needed to detect at least one predator, but using at least four would substantially increase the detection rate. We found that the longer the interval between an attack and sample collection and the higher the local humidity, the lower is the probability of identification success. On the other hand, higher temperatures and precipitation levels seem to be associated with a higher probability of success. The unexpected positive effect of precipitation may be linked to specific environmental contexts (i.e. higher precipitation levels in colder weather may still favour sample conservation). As identification success depends on time and weather conditions, the time span between a depredation event and sample collection should be reduced whenever possible, and sufficient samples should be collected to ensure an adequate detection success. Wolf (dpeaa)DE-He213 Dog (dpeaa)DE-He213 Livestock depredation (dpeaa)DE-He213 Non-invasive genetic sampling (dpeaa)DE-He213 Sampling effort (dpeaa)DE-He213 DNA degradation (dpeaa)DE-He213 Lino, Ana (orcid)0000-0001-8879-8923 aut Fernandes, Joana M. (orcid)0000-0001-5602-1490 aut Ferreira, Eduardo (orcid)0000-0003-0497-6118 aut Fonseca, Carlos (orcid)0000-0001-6559-7133 aut Aliácar, Sara aut Cadete, Duarte aut Rosalino, Luís M. (orcid)0000-0003-4186-7332 aut Carvalho, João (orcid)0000-0002-9792-9259 aut Enthalten in Mammalian biology Amsterdam [u.a.] : Elsevier, 1999 103(2023), 3 vom: 02. Feb., Seite 339-345 (DE-627)343512947 (DE-600)2072973-X 1618-1476 nnns volume:103 year:2023 number:3 day:02 month:02 pages:339-345 https://dx.doi.org/10.1007/s42991-023-00347-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 103 2023 3 02 02 339-345 |
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10.1007/s42991-023-00347-6 doi (DE-627)SPR051595346 (SPR)s42991-023-00347-6-e DE-627 ger DE-627 rakwb eng Lino, Sofia verfasserin (orcid)0000-0002-6428-4845 aut Environmental field conditions and sampling effort affect the molecular identification success of livestock predators 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to Deutsche Gesellschaft für Säugetierkunde 2023 Abstract For centuries, wolf depredation on livestock has triggered human–wildlife conflicts throughout Europe. Free-ranging dogs, however, are increasingly abundant and may also act as predators of livestock herds. This calls for combined efforts aimed at identifying the causes of depredation events and optimizing the procedures towards predators’ identification. Here, we analysed 56 livestock depredation events in central Portugal, an area where conflict between wolves and human populations takes place. We estimated the mean minimum sampling effort (number of swabs) required to detect at least one potential predator and examined how extrinsic factors (i.e. time, meteorological conditions and vegetation cover) drive sample degradation and predator identification success. Free-ranging dogs were the only putative predator detected in most attacks (66%). Results indicate that a minimum of three swabs are needed to detect at least one predator, but using at least four would substantially increase the detection rate. We found that the longer the interval between an attack and sample collection and the higher the local humidity, the lower is the probability of identification success. On the other hand, higher temperatures and precipitation levels seem to be associated with a higher probability of success. The unexpected positive effect of precipitation may be linked to specific environmental contexts (i.e. higher precipitation levels in colder weather may still favour sample conservation). As identification success depends on time and weather conditions, the time span between a depredation event and sample collection should be reduced whenever possible, and sufficient samples should be collected to ensure an adequate detection success. Wolf (dpeaa)DE-He213 Dog (dpeaa)DE-He213 Livestock depredation (dpeaa)DE-He213 Non-invasive genetic sampling (dpeaa)DE-He213 Sampling effort (dpeaa)DE-He213 DNA degradation (dpeaa)DE-He213 Lino, Ana (orcid)0000-0001-8879-8923 aut Fernandes, Joana M. (orcid)0000-0001-5602-1490 aut Ferreira, Eduardo (orcid)0000-0003-0497-6118 aut Fonseca, Carlos (orcid)0000-0001-6559-7133 aut Aliácar, Sara aut Cadete, Duarte aut Rosalino, Luís M. (orcid)0000-0003-4186-7332 aut Carvalho, João (orcid)0000-0002-9792-9259 aut Enthalten in Mammalian biology Amsterdam [u.a.] : Elsevier, 1999 103(2023), 3 vom: 02. Feb., Seite 339-345 (DE-627)343512947 (DE-600)2072973-X 1618-1476 nnns volume:103 year:2023 number:3 day:02 month:02 pages:339-345 https://dx.doi.org/10.1007/s42991-023-00347-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 103 2023 3 02 02 339-345 |
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10.1007/s42991-023-00347-6 doi (DE-627)SPR051595346 (SPR)s42991-023-00347-6-e DE-627 ger DE-627 rakwb eng Lino, Sofia verfasserin (orcid)0000-0002-6428-4845 aut Environmental field conditions and sampling effort affect the molecular identification success of livestock predators 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to Deutsche Gesellschaft für Säugetierkunde 2023 Abstract For centuries, wolf depredation on livestock has triggered human–wildlife conflicts throughout Europe. Free-ranging dogs, however, are increasingly abundant and may also act as predators of livestock herds. This calls for combined efforts aimed at identifying the causes of depredation events and optimizing the procedures towards predators’ identification. Here, we analysed 56 livestock depredation events in central Portugal, an area where conflict between wolves and human populations takes place. We estimated the mean minimum sampling effort (number of swabs) required to detect at least one potential predator and examined how extrinsic factors (i.e. time, meteorological conditions and vegetation cover) drive sample degradation and predator identification success. Free-ranging dogs were the only putative predator detected in most attacks (66%). Results indicate that a minimum of three swabs are needed to detect at least one predator, but using at least four would substantially increase the detection rate. We found that the longer the interval between an attack and sample collection and the higher the local humidity, the lower is the probability of identification success. On the other hand, higher temperatures and precipitation levels seem to be associated with a higher probability of success. The unexpected positive effect of precipitation may be linked to specific environmental contexts (i.e. higher precipitation levels in colder weather may still favour sample conservation). As identification success depends on time and weather conditions, the time span between a depredation event and sample collection should be reduced whenever possible, and sufficient samples should be collected to ensure an adequate detection success. Wolf (dpeaa)DE-He213 Dog (dpeaa)DE-He213 Livestock depredation (dpeaa)DE-He213 Non-invasive genetic sampling (dpeaa)DE-He213 Sampling effort (dpeaa)DE-He213 DNA degradation (dpeaa)DE-He213 Lino, Ana (orcid)0000-0001-8879-8923 aut Fernandes, Joana M. (orcid)0000-0001-5602-1490 aut Ferreira, Eduardo (orcid)0000-0003-0497-6118 aut Fonseca, Carlos (orcid)0000-0001-6559-7133 aut Aliácar, Sara aut Cadete, Duarte aut Rosalino, Luís M. (orcid)0000-0003-4186-7332 aut Carvalho, João (orcid)0000-0002-9792-9259 aut Enthalten in Mammalian biology Amsterdam [u.a.] : Elsevier, 1999 103(2023), 3 vom: 02. Feb., Seite 339-345 (DE-627)343512947 (DE-600)2072973-X 1618-1476 nnns volume:103 year:2023 number:3 day:02 month:02 pages:339-345 https://dx.doi.org/10.1007/s42991-023-00347-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 103 2023 3 02 02 339-345 |
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Enthalten in Mammalian biology 103(2023), 3 vom: 02. Feb., Seite 339-345 volume:103 year:2023 number:3 day:02 month:02 pages:339-345 |
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Enthalten in Mammalian biology 103(2023), 3 vom: 02. Feb., Seite 339-345 volume:103 year:2023 number:3 day:02 month:02 pages:339-345 |
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Lino, Sofia @@aut@@ Lino, Ana @@aut@@ Fernandes, Joana M. @@aut@@ Ferreira, Eduardo @@aut@@ Fonseca, Carlos @@aut@@ Aliácar, Sara @@aut@@ Cadete, Duarte @@aut@@ Rosalino, Luís M. @@aut@@ Carvalho, João @@aut@@ |
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Free-ranging dogs, however, are increasingly abundant and may also act as predators of livestock herds. This calls for combined efforts aimed at identifying the causes of depredation events and optimizing the procedures towards predators’ identification. Here, we analysed 56 livestock depredation events in central Portugal, an area where conflict between wolves and human populations takes place. We estimated the mean minimum sampling effort (number of swabs) required to detect at least one potential predator and examined how extrinsic factors (i.e. time, meteorological conditions and vegetation cover) drive sample degradation and predator identification success. Free-ranging dogs were the only putative predator detected in most attacks (66%). Results indicate that a minimum of three swabs are needed to detect at least one predator, but using at least four would substantially increase the detection rate. We found that the longer the interval between an attack and sample collection and the higher the local humidity, the lower is the probability of identification success. On the other hand, higher temperatures and precipitation levels seem to be associated with a higher probability of success. The unexpected positive effect of precipitation may be linked to specific environmental contexts (i.e. higher precipitation levels in colder weather may still favour sample conservation). 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|
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Lino, Sofia |
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Lino, Sofia misc Wolf misc Dog misc Livestock depredation misc Non-invasive genetic sampling misc Sampling effort misc DNA degradation Environmental field conditions and sampling effort affect the molecular identification success of livestock predators |
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Environmental field conditions and sampling effort affect the molecular identification success of livestock predators Wolf (dpeaa)DE-He213 Dog (dpeaa)DE-He213 Livestock depredation (dpeaa)DE-He213 Non-invasive genetic sampling (dpeaa)DE-He213 Sampling effort (dpeaa)DE-He213 DNA degradation (dpeaa)DE-He213 |
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Lino, Sofia Lino, Ana Fernandes, Joana M. Ferreira, Eduardo Fonseca, Carlos Aliácar, Sara Cadete, Duarte Rosalino, Luís M. Carvalho, João |
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| title_sort |
environmental field conditions and sampling effort affect the molecular identification success of livestock predators |
| title_auth |
Environmental field conditions and sampling effort affect the molecular identification success of livestock predators |
| abstract |
Abstract For centuries, wolf depredation on livestock has triggered human–wildlife conflicts throughout Europe. Free-ranging dogs, however, are increasingly abundant and may also act as predators of livestock herds. This calls for combined efforts aimed at identifying the causes of depredation events and optimizing the procedures towards predators’ identification. Here, we analysed 56 livestock depredation events in central Portugal, an area where conflict between wolves and human populations takes place. We estimated the mean minimum sampling effort (number of swabs) required to detect at least one potential predator and examined how extrinsic factors (i.e. time, meteorological conditions and vegetation cover) drive sample degradation and predator identification success. Free-ranging dogs were the only putative predator detected in most attacks (66%). Results indicate that a minimum of three swabs are needed to detect at least one predator, but using at least four would substantially increase the detection rate. We found that the longer the interval between an attack and sample collection and the higher the local humidity, the lower is the probability of identification success. On the other hand, higher temperatures and precipitation levels seem to be associated with a higher probability of success. The unexpected positive effect of precipitation may be linked to specific environmental contexts (i.e. higher precipitation levels in colder weather may still favour sample conservation). As identification success depends on time and weather conditions, the time span between a depredation event and sample collection should be reduced whenever possible, and sufficient samples should be collected to ensure an adequate detection success. © The Author(s) under exclusive licence to Deutsche Gesellschaft für Säugetierkunde 2023 |
| abstractGer |
Abstract For centuries, wolf depredation on livestock has triggered human–wildlife conflicts throughout Europe. Free-ranging dogs, however, are increasingly abundant and may also act as predators of livestock herds. This calls for combined efforts aimed at identifying the causes of depredation events and optimizing the procedures towards predators’ identification. Here, we analysed 56 livestock depredation events in central Portugal, an area where conflict between wolves and human populations takes place. We estimated the mean minimum sampling effort (number of swabs) required to detect at least one potential predator and examined how extrinsic factors (i.e. time, meteorological conditions and vegetation cover) drive sample degradation and predator identification success. Free-ranging dogs were the only putative predator detected in most attacks (66%). Results indicate that a minimum of three swabs are needed to detect at least one predator, but using at least four would substantially increase the detection rate. We found that the longer the interval between an attack and sample collection and the higher the local humidity, the lower is the probability of identification success. On the other hand, higher temperatures and precipitation levels seem to be associated with a higher probability of success. The unexpected positive effect of precipitation may be linked to specific environmental contexts (i.e. higher precipitation levels in colder weather may still favour sample conservation). As identification success depends on time and weather conditions, the time span between a depredation event and sample collection should be reduced whenever possible, and sufficient samples should be collected to ensure an adequate detection success. © The Author(s) under exclusive licence to Deutsche Gesellschaft für Säugetierkunde 2023 |
| abstract_unstemmed |
Abstract For centuries, wolf depredation on livestock has triggered human–wildlife conflicts throughout Europe. Free-ranging dogs, however, are increasingly abundant and may also act as predators of livestock herds. This calls for combined efforts aimed at identifying the causes of depredation events and optimizing the procedures towards predators’ identification. Here, we analysed 56 livestock depredation events in central Portugal, an area where conflict between wolves and human populations takes place. We estimated the mean minimum sampling effort (number of swabs) required to detect at least one potential predator and examined how extrinsic factors (i.e. time, meteorological conditions and vegetation cover) drive sample degradation and predator identification success. Free-ranging dogs were the only putative predator detected in most attacks (66%). Results indicate that a minimum of three swabs are needed to detect at least one predator, but using at least four would substantially increase the detection rate. We found that the longer the interval between an attack and sample collection and the higher the local humidity, the lower is the probability of identification success. On the other hand, higher temperatures and precipitation levels seem to be associated with a higher probability of success. The unexpected positive effect of precipitation may be linked to specific environmental contexts (i.e. higher precipitation levels in colder weather may still favour sample conservation). As identification success depends on time and weather conditions, the time span between a depredation event and sample collection should be reduced whenever possible, and sufficient samples should be collected to ensure an adequate detection success. © The Author(s) under exclusive licence to Deutsche Gesellschaft für Säugetierkunde 2023 |
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| title_short |
Environmental field conditions and sampling effort affect the molecular identification success of livestock predators |
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https://dx.doi.org/10.1007/s42991-023-00347-6 |
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Lino, Ana Fernandes, Joana M. Ferreira, Eduardo Fonseca, Carlos Aliácar, Sara Cadete, Duarte Rosalino, Luís M. Carvalho, João |
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Lino, Ana Fernandes, Joana M. Ferreira, Eduardo Fonseca, Carlos Aliácar, Sara Cadete, Duarte Rosalino, Luís M. Carvalho, João |
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2024-07-03T22:44:13.878Z |
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| score |
7.3987026 |