Waterbird counts on large water bodies: comparing ground and aerial methods during different ice conditions

The aerial and ground methods of counting birds in a coastal area during different ice conditions were compared. Ice coverage of water was an important factor affecting the results of the two methods. When the water was ice-free, more birds were counted from the ground, whereas during ice conditions...

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Published in:PeerJ
Main Authors: Dominik Marchowski, Łukasz Jankowiak, Łukasz Ławicki, Dariusz Wysocki
Format: Article in Journal/Newspaper
Language:English
Published: PeerJ Inc. 2018
Subjects:
R
Online Access:https://doi.org/10.7717/peerj.5195
https://doaj.org/article/e1d7ca090a3b4bff88c87199a2c9889d
id ftdoajarticles:oai:doaj.org/article:e1d7ca090a3b4bff88c87199a2c9889d
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:e1d7ca090a3b4bff88c87199a2c9889d 2024-01-07T09:38:14+01:00 Waterbird counts on large water bodies: comparing ground and aerial methods during different ice conditions Dominik Marchowski Łukasz Jankowiak Łukasz Ławicki Dariusz Wysocki 2018-07-01T00:00:00Z https://doi.org/10.7717/peerj.5195 https://doaj.org/article/e1d7ca090a3b4bff88c87199a2c9889d EN eng PeerJ Inc. https://peerj.com/articles/5195.pdf https://peerj.com/articles/5195/ https://doaj.org/toc/2167-8359 doi:10.7717/peerj.5195 2167-8359 https://doaj.org/article/e1d7ca090a3b4bff88c87199a2c9889d PeerJ, Vol 6, p e5195 (2018) Wintering Costal lagoons Baltic Sea Ducks Waterfowl Accuracy of population estimates Medicine R Biology (General) QH301-705.5 article 2018 ftdoajarticles https://doi.org/10.7717/peerj.5195 2023-12-10T01:49:41Z The aerial and ground methods of counting birds in a coastal area during different ice conditions were compared. Ice coverage of water was an important factor affecting the results of the two methods. When the water was ice-free, more birds were counted from the ground, whereas during ice conditions, higher numbers were obtained from the air. The first group of waterbirds with the smallest difference between the two methods (average 6%) contained seven species: Mute Swan Cygnus olor, Whooper Swan Cygnus cygnus, Greater Scaup Aythya marila, Tufted Duck Aythya fuligula, Common Goldeneye Bucephala clangula, Smew Mergellus albellus and Goosander Mergus merganser; these were treated as the core group. The second group with a moderate difference (average 20%) included another six species: Mallard Anas platyrhynchos, Eurasian Wigeon Mareca penelope, Common Pochard Aythya ferina, Great Crested Grebe Podiceps cristatus and Eurasian Coot Fulica atra. The third group with a large difference (average 85%) included five species, all of the Anatini tribe: Gadwall Mareca strepera, Northern Pintail Anas acuta, Northern Shoveler Spatula clypeata, Eurasian Teal Anas crecca and Garganey Spatula querquedula. During ice conditions, smaller numbers of most species were counted from the ground. The exception here was Mallard, more of which were counted from the ground, but the difference between two methods was relatively small in this species (7.5%). Under ice-free conditions, both methods can be used interchangeably for the most numerous birds occupying open water (core group) without any significant impact on the results. When water areas are frozen over, air counts are preferable as the results are more reliable. The cost analysis shows that a survey carried out by volunteer observers (reimbursement of travel expenses only) from the land is 58% cheaper, but if the observers are paid, then an aerial survey is 40% more economical. Article in Journal/Newspaper Anas acuta Aythya marila Cygnus cygnus greater scaup Mergellus albellus Northern Shoveler Shoveler Whooper Swan smew Directory of Open Access Journals: DOAJ Articles Olor ENVELOPE(88.531,88.531,69.600,69.600) PeerJ 6 e5195
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Wintering
Costal lagoons
Baltic Sea
Ducks
Waterfowl
Accuracy of population estimates
Medicine
R
Biology (General)
QH301-705.5
spellingShingle Wintering
Costal lagoons
Baltic Sea
Ducks
Waterfowl
Accuracy of population estimates
Medicine
R
Biology (General)
QH301-705.5
Dominik Marchowski
Łukasz Jankowiak
Łukasz Ławicki
Dariusz Wysocki
Waterbird counts on large water bodies: comparing ground and aerial methods during different ice conditions
topic_facet Wintering
Costal lagoons
Baltic Sea
Ducks
Waterfowl
Accuracy of population estimates
Medicine
R
Biology (General)
QH301-705.5
description The aerial and ground methods of counting birds in a coastal area during different ice conditions were compared. Ice coverage of water was an important factor affecting the results of the two methods. When the water was ice-free, more birds were counted from the ground, whereas during ice conditions, higher numbers were obtained from the air. The first group of waterbirds with the smallest difference between the two methods (average 6%) contained seven species: Mute Swan Cygnus olor, Whooper Swan Cygnus cygnus, Greater Scaup Aythya marila, Tufted Duck Aythya fuligula, Common Goldeneye Bucephala clangula, Smew Mergellus albellus and Goosander Mergus merganser; these were treated as the core group. The second group with a moderate difference (average 20%) included another six species: Mallard Anas platyrhynchos, Eurasian Wigeon Mareca penelope, Common Pochard Aythya ferina, Great Crested Grebe Podiceps cristatus and Eurasian Coot Fulica atra. The third group with a large difference (average 85%) included five species, all of the Anatini tribe: Gadwall Mareca strepera, Northern Pintail Anas acuta, Northern Shoveler Spatula clypeata, Eurasian Teal Anas crecca and Garganey Spatula querquedula. During ice conditions, smaller numbers of most species were counted from the ground. The exception here was Mallard, more of which were counted from the ground, but the difference between two methods was relatively small in this species (7.5%). Under ice-free conditions, both methods can be used interchangeably for the most numerous birds occupying open water (core group) without any significant impact on the results. When water areas are frozen over, air counts are preferable as the results are more reliable. The cost analysis shows that a survey carried out by volunteer observers (reimbursement of travel expenses only) from the land is 58% cheaper, but if the observers are paid, then an aerial survey is 40% more economical.
format Article in Journal/Newspaper
author Dominik Marchowski
Łukasz Jankowiak
Łukasz Ławicki
Dariusz Wysocki
author_facet Dominik Marchowski
Łukasz Jankowiak
Łukasz Ławicki
Dariusz Wysocki
author_sort Dominik Marchowski
title Waterbird counts on large water bodies: comparing ground and aerial methods during different ice conditions
title_short Waterbird counts on large water bodies: comparing ground and aerial methods during different ice conditions
title_full Waterbird counts on large water bodies: comparing ground and aerial methods during different ice conditions
title_fullStr Waterbird counts on large water bodies: comparing ground and aerial methods during different ice conditions
title_full_unstemmed Waterbird counts on large water bodies: comparing ground and aerial methods during different ice conditions
title_sort waterbird counts on large water bodies: comparing ground and aerial methods during different ice conditions
publisher PeerJ Inc.
publishDate 2018
url https://doi.org/10.7717/peerj.5195
https://doaj.org/article/e1d7ca090a3b4bff88c87199a2c9889d
long_lat ENVELOPE(88.531,88.531,69.600,69.600)
geographic Olor
geographic_facet Olor
genre Anas acuta
Aythya marila
Cygnus cygnus
greater scaup
Mergellus albellus
Northern Shoveler
Shoveler
Whooper Swan
smew
genre_facet Anas acuta
Aythya marila
Cygnus cygnus
greater scaup
Mergellus albellus
Northern Shoveler
Shoveler
Whooper Swan
smew
op_source PeerJ, Vol 6, p e5195 (2018)
op_relation https://peerj.com/articles/5195.pdf
https://peerj.com/articles/5195/
https://doaj.org/toc/2167-8359
doi:10.7717/peerj.5195
2167-8359
https://doaj.org/article/e1d7ca090a3b4bff88c87199a2c9889d
op_doi https://doi.org/10.7717/peerj.5195
container_title PeerJ
container_volume 6
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