Leveraging Machine Learning and Geo-Tagged Citizen Science Data to Disentangle the Factors of Avian Mortality Events at the Species Level
Abrupt environmental changes can affect the population structures of living species and cause habitat loss and fragmentations in the ecosystem. During August–October 2020, remarkably high mortality events of avian species were reported across the western and central United States, likely resulting f...
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ftosti:oai:osti.gov:1906974 2023-07-30T04:02:59+02:00 Leveraging Machine Learning and Geo-Tagged Citizen Science Data to Disentangle the Factors of Avian Mortality Events at the Species Level Yang, Anni Rodriguez, Matthew Yang, Di Yang, Jue Cheng, Wenwen Cai, Changjie Qiu, Han 2023-01-05 application/pdf http://www.osti.gov/servlets/purl/1906974 https://www.osti.gov/biblio/1906974 https://doi.org/10.3390/rs14102369 unknown http://www.osti.gov/servlets/purl/1906974 https://www.osti.gov/biblio/1906974 https://doi.org/10.3390/rs14102369 doi:10.3390/rs14102369 47 OTHER INSTRUMENTATION 2023 ftosti https://doi.org/10.3390/rs14102369 2023-07-11T10:17:15Z Abrupt environmental changes can affect the population structures of living species and cause habitat loss and fragmentations in the ecosystem. During August–October 2020, remarkably high mortality events of avian species were reported across the western and central United States, likely resulting from winter storms and wildfires. However, the differences of mortality events among various species responding to the abrupt environmental changes remain poorly understood. In this study, we focused on three species, Wilson’s Warbler, Barn Owl, and Common Murre, with the highest mortality events that had been recorded by citizen scientists. We leveraged the citizen science data and multiple remotely sensed earth observations and employed the ensemble random forest models to disentangle the species responses to winter storm and wildfire. We found that the mortality events of Wilson’s Warbler were primarily impacted by early winter storms, with more deaths identified in areas with a higher average daily snow cover. The Barn Owl’s mortalities were more identified in places with severe wildfire-induced air pollution. Both winter storms and wildfire had relatively mild effects on the mortality of Common Murre, which might be more related to anomalously warm water. Our findings highlight the species-specific responses to environmental changes, which can provide significant insights into the resilience of ecosystems to environmental change and avian conservations. Additionally, the study emphasized the efficiency and effectiveness of monitoring large-scale abrupt environmental changes and conservation using remotely sensed and citizen science data. Other/Unknown Material Common Murre SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Remote Sensing 14 10 2369 |
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47 OTHER INSTRUMENTATION Yang, Anni Rodriguez, Matthew Yang, Di Yang, Jue Cheng, Wenwen Cai, Changjie Qiu, Han Leveraging Machine Learning and Geo-Tagged Citizen Science Data to Disentangle the Factors of Avian Mortality Events at the Species Level |
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47 OTHER INSTRUMENTATION |
description |
Abrupt environmental changes can affect the population structures of living species and cause habitat loss and fragmentations in the ecosystem. During August–October 2020, remarkably high mortality events of avian species were reported across the western and central United States, likely resulting from winter storms and wildfires. However, the differences of mortality events among various species responding to the abrupt environmental changes remain poorly understood. In this study, we focused on three species, Wilson’s Warbler, Barn Owl, and Common Murre, with the highest mortality events that had been recorded by citizen scientists. We leveraged the citizen science data and multiple remotely sensed earth observations and employed the ensemble random forest models to disentangle the species responses to winter storm and wildfire. We found that the mortality events of Wilson’s Warbler were primarily impacted by early winter storms, with more deaths identified in areas with a higher average daily snow cover. The Barn Owl’s mortalities were more identified in places with severe wildfire-induced air pollution. Both winter storms and wildfire had relatively mild effects on the mortality of Common Murre, which might be more related to anomalously warm water. Our findings highlight the species-specific responses to environmental changes, which can provide significant insights into the resilience of ecosystems to environmental change and avian conservations. Additionally, the study emphasized the efficiency and effectiveness of monitoring large-scale abrupt environmental changes and conservation using remotely sensed and citizen science data. |
author |
Yang, Anni Rodriguez, Matthew Yang, Di Yang, Jue Cheng, Wenwen Cai, Changjie Qiu, Han |
author_facet |
Yang, Anni Rodriguez, Matthew Yang, Di Yang, Jue Cheng, Wenwen Cai, Changjie Qiu, Han |
author_sort |
Yang, Anni |
title |
Leveraging Machine Learning and Geo-Tagged Citizen Science Data to Disentangle the Factors of Avian Mortality Events at the Species Level |
title_short |
Leveraging Machine Learning and Geo-Tagged Citizen Science Data to Disentangle the Factors of Avian Mortality Events at the Species Level |
title_full |
Leveraging Machine Learning and Geo-Tagged Citizen Science Data to Disentangle the Factors of Avian Mortality Events at the Species Level |
title_fullStr |
Leveraging Machine Learning and Geo-Tagged Citizen Science Data to Disentangle the Factors of Avian Mortality Events at the Species Level |
title_full_unstemmed |
Leveraging Machine Learning and Geo-Tagged Citizen Science Data to Disentangle the Factors of Avian Mortality Events at the Species Level |
title_sort |
leveraging machine learning and geo-tagged citizen science data to disentangle the factors of avian mortality events at the species level |
publishDate |
2023 |
url |
http://www.osti.gov/servlets/purl/1906974 https://www.osti.gov/biblio/1906974 https://doi.org/10.3390/rs14102369 |
genre |
Common Murre |
genre_facet |
Common Murre |
op_relation |
http://www.osti.gov/servlets/purl/1906974 https://www.osti.gov/biblio/1906974 https://doi.org/10.3390/rs14102369 doi:10.3390/rs14102369 |
op_doi |
https://doi.org/10.3390/rs14102369 |
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Remote Sensing |
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14 |
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10 |
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2369 |
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1772813897586180096 |