Aerial photography based census of Adélie Penguin and its application in CH4 and N2O budget estimation in Victoria Land, Antarctic

© The Author(s), 2017. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Scientific Reports 7 (2017): 12942, doi:10.1038/s41598-017-13380-6. Penguin guano provides favorable conditions for production and emission of green...

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Published in:Scientific Reports
Main Authors: He, Hong, Cheng, Xiao, Li, Xianglan, Zhu, Renbin, Hui, Fengming, Wu, Wenhui, Zhao, Tiancheng, Kang, Jing, Tang, Jianwu
Format: Article in Journal/Newspaper
Language:English
Published: Nature Publishing Group 2017
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Online Access:https://hdl.handle.net/1912/9315
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spelling ftwhoas:oai:darchive.mblwhoilibrary.org:1912/9315 2023-05-15T13:48:31+02:00 Aerial photography based census of Adélie Penguin and its application in CH4 and N2O budget estimation in Victoria Land, Antarctic He, Hong Cheng, Xiao Li, Xianglan Zhu, Renbin Hui, Fengming Wu, Wenhui Zhao, Tiancheng Kang, Jing Tang, Jianwu 2017-10-11 https://hdl.handle.net/1912/9315 en_US eng Nature Publishing Group https://doi.org/10.1038/s41598-017-13380-6 Scientific Reports 7 (2017): 12942 https://hdl.handle.net/1912/9315 doi:10.1038/s41598-017-13380-6 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ CC-BY Scientific Reports 7 (2017): 12942 doi:10.1038/s41598-017-13380-6 Article 2017 ftwhoas https://doi.org/10.1038/s41598-017-13380-6 2022-05-28T23:00:02Z © The Author(s), 2017. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Scientific Reports 7 (2017): 12942, doi:10.1038/s41598-017-13380-6. Penguin guano provides favorable conditions for production and emission of greenhouse gases (GHGs). Many studies have been conducted to determine the GHG fluxes from penguin colonies, however, at regional scale, there is still no accurate estimation of total GHG emissions. We used object-based image analysis (OBIA) method to estimate the Adélie penguin (Pygoscelis adeliae) population based on aerial photography data. A model was developed to estimate total GHG emission potential from Adélie penguin colonies during breeding seasons in 1983 and 2012, respectively. Results indicated that OBIA method was effective for extracting penguin information from aerial photographs. There were 17,120 and 21,183 Adélie penguin breeding pairs on Inexpressible Island in 1983 and 2012, respectively, with overall accuracy of the estimation of 76.8%. The main reasons for the increase in Adélie penguin populations were attributed to increase in temperature, sea ice and phytoplankton. The average estimated CH4 and N2O emissions tended to be increasing during the period from 1983 to 2012 and CH4 was the main GHG emitted from penguin colonies. Total global warming potential (GWP) of CH4 and N2O emissions was 5303 kg CO2-eq in 1983 and 6561 kg CO2-eq in 2012, respectively. This work was supported by the Fundamental Research Funds for the Central Universities (Grant No. 312231103), the Chinese Arctic and Antarctic Administration, National Natural Science Foundation of China (Grant Nos 41676176 and 41676182), the Chinese Polar Environment Comprehensive Investigation, Assessment Program. Article in Journal/Newspaper Antarc* Antarctic Arctic Chinese Arctic and Antarctic Administration Global warming Inexpressible Island Phytoplankton Pygoscelis adeliae Sea ice Victoria Land Woods Hole Scientific Community: WHOAS (Woods Hole Open Access Server) Antarctic Arctic Guano ENVELOPE(141.604,141.604,-66.775,-66.775) Inexpressible Island ENVELOPE(163.650,163.650,-74.900,-74.900) Victoria Land Scientific Reports 7 1
institution Open Polar
collection Woods Hole Scientific Community: WHOAS (Woods Hole Open Access Server)
op_collection_id ftwhoas
language English
description © The Author(s), 2017. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Scientific Reports 7 (2017): 12942, doi:10.1038/s41598-017-13380-6. Penguin guano provides favorable conditions for production and emission of greenhouse gases (GHGs). Many studies have been conducted to determine the GHG fluxes from penguin colonies, however, at regional scale, there is still no accurate estimation of total GHG emissions. We used object-based image analysis (OBIA) method to estimate the Adélie penguin (Pygoscelis adeliae) population based on aerial photography data. A model was developed to estimate total GHG emission potential from Adélie penguin colonies during breeding seasons in 1983 and 2012, respectively. Results indicated that OBIA method was effective for extracting penguin information from aerial photographs. There were 17,120 and 21,183 Adélie penguin breeding pairs on Inexpressible Island in 1983 and 2012, respectively, with overall accuracy of the estimation of 76.8%. The main reasons for the increase in Adélie penguin populations were attributed to increase in temperature, sea ice and phytoplankton. The average estimated CH4 and N2O emissions tended to be increasing during the period from 1983 to 2012 and CH4 was the main GHG emitted from penguin colonies. Total global warming potential (GWP) of CH4 and N2O emissions was 5303 kg CO2-eq in 1983 and 6561 kg CO2-eq in 2012, respectively. This work was supported by the Fundamental Research Funds for the Central Universities (Grant No. 312231103), the Chinese Arctic and Antarctic Administration, National Natural Science Foundation of China (Grant Nos 41676176 and 41676182), the Chinese Polar Environment Comprehensive Investigation, Assessment Program.
format Article in Journal/Newspaper
author He, Hong
Cheng, Xiao
Li, Xianglan
Zhu, Renbin
Hui, Fengming
Wu, Wenhui
Zhao, Tiancheng
Kang, Jing
Tang, Jianwu
spellingShingle He, Hong
Cheng, Xiao
Li, Xianglan
Zhu, Renbin
Hui, Fengming
Wu, Wenhui
Zhao, Tiancheng
Kang, Jing
Tang, Jianwu
Aerial photography based census of Adélie Penguin and its application in CH4 and N2O budget estimation in Victoria Land, Antarctic
author_facet He, Hong
Cheng, Xiao
Li, Xianglan
Zhu, Renbin
Hui, Fengming
Wu, Wenhui
Zhao, Tiancheng
Kang, Jing
Tang, Jianwu
author_sort He, Hong
title Aerial photography based census of Adélie Penguin and its application in CH4 and N2O budget estimation in Victoria Land, Antarctic
title_short Aerial photography based census of Adélie Penguin and its application in CH4 and N2O budget estimation in Victoria Land, Antarctic
title_full Aerial photography based census of Adélie Penguin and its application in CH4 and N2O budget estimation in Victoria Land, Antarctic
title_fullStr Aerial photography based census of Adélie Penguin and its application in CH4 and N2O budget estimation in Victoria Land, Antarctic
title_full_unstemmed Aerial photography based census of Adélie Penguin and its application in CH4 and N2O budget estimation in Victoria Land, Antarctic
title_sort aerial photography based census of adélie penguin and its application in ch4 and n2o budget estimation in victoria land, antarctic
publisher Nature Publishing Group
publishDate 2017
url https://hdl.handle.net/1912/9315
long_lat ENVELOPE(141.604,141.604,-66.775,-66.775)
ENVELOPE(163.650,163.650,-74.900,-74.900)
geographic Antarctic
Arctic
Guano
Inexpressible Island
Victoria Land
geographic_facet Antarctic
Arctic
Guano
Inexpressible Island
Victoria Land
genre Antarc*
Antarctic
Arctic
Chinese Arctic and Antarctic Administration
Global warming
Inexpressible Island
Phytoplankton
Pygoscelis adeliae
Sea ice
Victoria Land
genre_facet Antarc*
Antarctic
Arctic
Chinese Arctic and Antarctic Administration
Global warming
Inexpressible Island
Phytoplankton
Pygoscelis adeliae
Sea ice
Victoria Land
op_source Scientific Reports 7 (2017): 12942
doi:10.1038/s41598-017-13380-6
op_relation https://doi.org/10.1038/s41598-017-13380-6
Scientific Reports 7 (2017): 12942
https://hdl.handle.net/1912/9315
doi:10.1038/s41598-017-13380-6
op_rights Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
op_rightsnorm CC-BY
op_doi https://doi.org/10.1038/s41598-017-13380-6
container_title Scientific Reports
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