Comparing opportunistic and systematic sampling methods for non‐invasive genetic monitoring of a small translocated brown bear population
Summary 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 simu...
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crwiley:10.1111/j.1365-2664.2009.01752.x 2024-10-06T13:53:19+00:00 Comparing opportunistic and systematic sampling methods for non‐invasive genetic monitoring of a small translocated brown bear population De Barba, Marta Waits, Lisette P. Genovesi, Piero Randi, Ettore Chirichella, Roberta Cetto, Ermanno 2010 http://dx.doi.org/10.1111/j.1365-2664.2009.01752.x https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1365-2664.2009.01752.x https://besjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/j.1365-2664.2009.01752.x en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Journal of Applied Ecology volume 47, issue 1, page 172-181 ISSN 0021-8901 1365-2664 journal-article 2010 crwiley https://doi.org/10.1111/j.1365-2664.2009.01752.x 2024-09-23T04:33:34Z Summary 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 ... Article in Journal/Newspaper Ursus arctos Wiley Online Library Journal of Applied Ecology 47 1 172 181 |
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Open Polar |
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Wiley Online Library |
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crwiley |
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English |
description |
Summary 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 ... |
format |
Article in Journal/Newspaper |
author |
De Barba, Marta Waits, Lisette P. Genovesi, Piero Randi, Ettore Chirichella, Roberta Cetto, Ermanno |
spellingShingle |
De Barba, Marta Waits, Lisette P. Genovesi, Piero Randi, Ettore Chirichella, Roberta Cetto, Ermanno Comparing opportunistic and systematic sampling methods for non‐invasive genetic monitoring of a small translocated brown bear population |
author_facet |
De Barba, Marta Waits, Lisette P. Genovesi, Piero Randi, Ettore Chirichella, Roberta Cetto, Ermanno |
author_sort |
De Barba, Marta |
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 |
publisher |
Wiley |
publishDate |
2010 |
url |
http://dx.doi.org/10.1111/j.1365-2664.2009.01752.x https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1365-2664.2009.01752.x https://besjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/j.1365-2664.2009.01752.x |
genre |
Ursus arctos |
genre_facet |
Ursus arctos |
op_source |
Journal of Applied Ecology volume 47, issue 1, page 172-181 ISSN 0021-8901 1365-2664 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
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 |
_version_ |
1812182006533980160 |