Comparing opportunistic and systematic sampling methods for non-invasive genetic monitoring of a small translocated brown bear population
1. Non-invasive genetic sampling (NGS) of hair and faeces has become an important tool for monitoring wildlife populations, but many managers question the feasibility and cost-effectiveness of these methods for long-term monitoring. To address this question, more studies are needed that simultaneous...
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ftsassariuniiris:oai:iris.uniss.it:11388/134551 2024-04-14T08:20:42+00:00 Comparing opportunistic and systematic sampling methods for non-invasive genetic monitoring of a small translocated brown bear population DE BARBA M WAITS L. P GENOVESI P RANDI E CHIRICHELLA, Roberta CETTO E. DE BARBA, M Waits, L. P. Genovesi, P Randi, E Chirichella, Roberta Cetto, E. 2010 http://hdl.handle.net/11388/134551 https://doi.org/10.1111/j.1365-2664.2009.01752.x eng eng info:eu-repo/semantics/altIdentifier/wos/S15y4Jhoi2mIqHwErBF volume:47 firstpage:172 lastpage:181 numberofpages:10 journal:JOURNAL OF APPLIED ECOLOGY http://hdl.handle.net/11388/134551 doi:10.1111/j.1365-2664.2009.01752.x info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-77949286576 Ursus arcto transect sampling faecal DNA hair trapping non-invasive genetic sampling Italian Alps info:eu-repo/semantics/article 2010 ftsassariuniiris https://doi.org/10.1111/j.1365-2664.2009.01752.x 2024-03-15T04:02:37Z 1. Non-invasive genetic sampling (NGS) of hair and faeces has become an important tool for monitoring wildlife populations, but many managers question the feasibility and cost-effectiveness of these methods for long-term monitoring. To address this question, more studies are needed that simultaneously evaluate the effectiveness and efficiency of multiple NGS designs in the same study area. 2. In 2003-2004, we carried out an experimental study of NGS for a small brown bear Ursus arctos population established by translocation in the Italian Alps. We evaluated and compared the effectiveness and efficiency of three NGS approaches including two systematic designs, baited hair traps and transect sampling of hair and faeces, and opportunistic collection of faecal and hair samples. Effectiveness was evaluated in terms of the number of samples collected, bears identified, genotyping success and error rate, detection frequencies, individual movement and spatial distribution of the species. We also evaluated the suitability of the data collected for population size estimation using single- and multi-session approaches. Efficiency was assessed by calculating total cost/genotyped sample, cost/unique bear identified and cost/bear sample. 3. During 2 years of sampling, 1164 samples and 15 unique genotypes were obtained. From these genotypes, we documented reproduction, an increase in the minimum population size of bears in the study area and important information on specific bears causing damages to property. 4. The optimal sampling strategy combined systematic hair trapping and opportunistic sampling, as the pooled data set efficiently provided large sample quantities, the highest number of identified bears, multiple individual detections, information on bear distribution and suitable data for population size estimation. 5. We provide an example of how the efficiency of NGS monitoring can be improved by integrating sampling into routine duties of existing field personnel. 6.Synthesis and applications. This study provides ... Article in Journal/Newspaper Ursus arctos CINECA IRIS Universitá Degli Studi di Sassari Journal of Applied Ecology 47 1 172 181 |
institution |
Open Polar |
collection |
CINECA IRIS Universitá Degli Studi di Sassari |
op_collection_id |
ftsassariuniiris |
language |
English |
topic |
Ursus arcto transect sampling faecal DNA hair trapping non-invasive genetic sampling Italian Alps |
spellingShingle |
Ursus arcto transect sampling faecal DNA hair trapping non-invasive genetic sampling Italian Alps DE BARBA M WAITS L. P GENOVESI P RANDI E CHIRICHELLA, Roberta CETTO E. Comparing opportunistic and systematic sampling methods for non-invasive genetic monitoring of a small translocated brown bear population |
topic_facet |
Ursus arcto transect sampling faecal DNA hair trapping non-invasive genetic sampling Italian Alps |
description |
1. Non-invasive genetic sampling (NGS) of hair and faeces has become an important tool for monitoring wildlife populations, but many managers question the feasibility and cost-effectiveness of these methods for long-term monitoring. To address this question, more studies are needed that simultaneously evaluate the effectiveness and efficiency of multiple NGS designs in the same study area. 2. In 2003-2004, we carried out an experimental study of NGS for a small brown bear Ursus arctos population established by translocation in the Italian Alps. We evaluated and compared the effectiveness and efficiency of three NGS approaches including two systematic designs, baited hair traps and transect sampling of hair and faeces, and opportunistic collection of faecal and hair samples. Effectiveness was evaluated in terms of the number of samples collected, bears identified, genotyping success and error rate, detection frequencies, individual movement and spatial distribution of the species. We also evaluated the suitability of the data collected for population size estimation using single- and multi-session approaches. Efficiency was assessed by calculating total cost/genotyped sample, cost/unique bear identified and cost/bear sample. 3. During 2 years of sampling, 1164 samples and 15 unique genotypes were obtained. From these genotypes, we documented reproduction, an increase in the minimum population size of bears in the study area and important information on specific bears causing damages to property. 4. The optimal sampling strategy combined systematic hair trapping and opportunistic sampling, as the pooled data set efficiently provided large sample quantities, the highest number of identified bears, multiple individual detections, information on bear distribution and suitable data for population size estimation. 5. We provide an example of how the efficiency of NGS monitoring can be improved by integrating sampling into routine duties of existing field personnel. 6.Synthesis and applications. This study provides ... |
author2 |
DE BARBA, M Waits, L. P. Genovesi, P Randi, E Chirichella, Roberta Cetto, E. |
format |
Article in Journal/Newspaper |
author |
DE BARBA M WAITS L. P GENOVESI P RANDI E CHIRICHELLA, Roberta CETTO E. |
author_facet |
DE BARBA M WAITS L. P GENOVESI P RANDI E CHIRICHELLA, Roberta CETTO E. |
author_sort |
DE BARBA M |
title |
Comparing opportunistic and systematic sampling methods for non-invasive genetic monitoring of a small translocated brown bear population |
title_short |
Comparing opportunistic and systematic sampling methods for non-invasive genetic monitoring of a small translocated brown bear population |
title_full |
Comparing opportunistic and systematic sampling methods for non-invasive genetic monitoring of a small translocated brown bear population |
title_fullStr |
Comparing opportunistic and systematic sampling methods for non-invasive genetic monitoring of a small translocated brown bear population |
title_full_unstemmed |
Comparing opportunistic and systematic sampling methods for non-invasive genetic monitoring of a small translocated brown bear population |
title_sort |
comparing opportunistic and systematic sampling methods for non-invasive genetic monitoring of a small translocated brown bear population |
publishDate |
2010 |
url |
http://hdl.handle.net/11388/134551 https://doi.org/10.1111/j.1365-2664.2009.01752.x |
genre |
Ursus arctos |
genre_facet |
Ursus arctos |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/S15y4Jhoi2mIqHwErBF volume:47 firstpage:172 lastpage:181 numberofpages:10 journal:JOURNAL OF APPLIED ECOLOGY http://hdl.handle.net/11388/134551 doi:10.1111/j.1365-2664.2009.01752.x info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-77949286576 |
op_doi |
https://doi.org/10.1111/j.1365-2664.2009.01752.x |
container_title |
Journal of Applied Ecology |
container_volume |
47 |
container_issue |
1 |
container_start_page |
172 |
op_container_end_page |
181 |
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1796299094986063872 |