Hair determination and identification from bird nests

The aim of our study was to test a new noninvasive method, the bird-nest analysis in urban environment. The study area (Merzse-swamp) is located in the south south-west of Budapest. The area is bordered by the M0 motorway (from East), the Ferihegy Airport (from South) and the suburb of the 17th dist...

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Main Authors: Patkó, László, Újhegyi, Nikolett, Heltai, Miklós
Format: Article in Journal/Newspaper
Language:English
Published: University of Szeged, Faculty of Agriculture 2012
Subjects:
Online Access:https://ojs.bibl.u-szeged.hu/index.php/rard/article/view/13239
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spelling ftunivszegedojs:oai:ojs.ek.szte.hu:article/13239 2023-05-15T18:05:06+02:00 Hair determination and identification from bird nests Patkó, László Újhegyi, Nikolett Heltai, Miklós 2012-01-01 application/pdf https://ojs.bibl.u-szeged.hu/index.php/rard/article/view/13239 eng eng University of Szeged, Faculty of Agriculture https://ojs.bibl.u-szeged.hu/index.php/rard/article/view/13239/13095 Copyright (c) 2018 Review on Agriculture and Rural Development Review on Agriculture and Rural Development; Vol 1 No 1. suppl. (2012); 394-401 2063-4803 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2012 ftunivszegedojs 2019-06-14T06:17:34Z The aim of our study was to test a new noninvasive method, the bird-nest analysis in urban environment. The study area (Merzse-swamp) is located in the south south-west of Budapest. The area is bordered by the M0 motorway (from East), the Ferihegy Airport (from South) and the suburb of the 17th district (from East). We have collected 13 nests and we have found mammalian hairs in 9 nests (69,23%). From one nest an average of 5,31 (SE=5,31) hairs were found, from this 3,77 (SE=4,17) were able to be prepared and 2,85 (SE=2,91) were categorized. We have created 13 categories from the data. 5 of these were species categories (Talpa europea, Mustela nivalis, Homo sapiens, Lutra lutra and Myoxus glis), 3 of them were twin-species (Rattus rattus-Rattus norvegicus, Muscardinus avellanarius-Dryomis nitedula and Oryctolagus cuniculus-Lepus europaeus). These species cannot be exactly identified just by hair morphology (supplementary data is needed, e.g.: area of distribution). 3 genera were identified (Canidae spp., Chiroptera spp. and Apodemus/Microtus sp.). Finally, there are 2 categories for unidentifiable hairs („not hair”: revealed during the microscope study, „unidentifiable”: data deficient). The most common species were Homo sapiens and Mustela nivalis. In the case of one species (Lutra lutra) we think it would be necessary to confirm the presence with other observations (visual observation, footprints and remains of preys). According to our study it has been demonstrated that the nest-analysis can be a useful technique to researchers and urban wildlife management experts. References from hairs and practice are necessary to get familiar with the method. Article in Journal/Newspaper Rattus rattus Lutra lutra SZTE OJS Journals (University of Szeged)
institution Open Polar
collection SZTE OJS Journals (University of Szeged)
op_collection_id ftunivszegedojs
language English
description The aim of our study was to test a new noninvasive method, the bird-nest analysis in urban environment. The study area (Merzse-swamp) is located in the south south-west of Budapest. The area is bordered by the M0 motorway (from East), the Ferihegy Airport (from South) and the suburb of the 17th district (from East). We have collected 13 nests and we have found mammalian hairs in 9 nests (69,23%). From one nest an average of 5,31 (SE=5,31) hairs were found, from this 3,77 (SE=4,17) were able to be prepared and 2,85 (SE=2,91) were categorized. We have created 13 categories from the data. 5 of these were species categories (Talpa europea, Mustela nivalis, Homo sapiens, Lutra lutra and Myoxus glis), 3 of them were twin-species (Rattus rattus-Rattus norvegicus, Muscardinus avellanarius-Dryomis nitedula and Oryctolagus cuniculus-Lepus europaeus). These species cannot be exactly identified just by hair morphology (supplementary data is needed, e.g.: area of distribution). 3 genera were identified (Canidae spp., Chiroptera spp. and Apodemus/Microtus sp.). Finally, there are 2 categories for unidentifiable hairs („not hair”: revealed during the microscope study, „unidentifiable”: data deficient). The most common species were Homo sapiens and Mustela nivalis. In the case of one species (Lutra lutra) we think it would be necessary to confirm the presence with other observations (visual observation, footprints and remains of preys). According to our study it has been demonstrated that the nest-analysis can be a useful technique to researchers and urban wildlife management experts. References from hairs and practice are necessary to get familiar with the method.
format Article in Journal/Newspaper
author Patkó, László
Újhegyi, Nikolett
Heltai, Miklós
spellingShingle Patkó, László
Újhegyi, Nikolett
Heltai, Miklós
Hair determination and identification from bird nests
author_facet Patkó, László
Újhegyi, Nikolett
Heltai, Miklós
author_sort Patkó, László
title Hair determination and identification from bird nests
title_short Hair determination and identification from bird nests
title_full Hair determination and identification from bird nests
title_fullStr Hair determination and identification from bird nests
title_full_unstemmed Hair determination and identification from bird nests
title_sort hair determination and identification from bird nests
publisher University of Szeged, Faculty of Agriculture
publishDate 2012
url https://ojs.bibl.u-szeged.hu/index.php/rard/article/view/13239
genre Rattus rattus
Lutra lutra
genre_facet Rattus rattus
Lutra lutra
op_source Review on Agriculture and Rural Development; Vol 1 No 1. suppl. (2012); 394-401
2063-4803
op_relation https://ojs.bibl.u-szeged.hu/index.php/rard/article/view/13239/13095
op_rights Copyright (c) 2018 Review on Agriculture and Rural Development
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