Ensemble predictions are essential for accurate bird migration forecasts for conservation and flight safety
Abstract Accurate predictions of the abundance of migrating birds are important to avoid aerial conflicts of birds, for example, with aviation or wind power installations. Here we develop a predictive model, using bird migration intensity extracted from operational weather data. We compare baseline...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-07-01
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| Series: | Ecological Solutions and Evidence |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/2688-8319.12158 |
| _version_ | 1818029124341465088 |
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| author | Bart Kranstauber Willem Bouten Hans van Gasteren Judy Shamoun‐Baranes |
| author_facet | Bart Kranstauber Willem Bouten Hans van Gasteren Judy Shamoun‐Baranes |
| author_sort | Bart Kranstauber |
| collection | DOAJ |
| description | Abstract Accurate predictions of the abundance of migrating birds are important to avoid aerial conflicts of birds, for example, with aviation or wind power installations. Here we develop a predictive model, using bird migration intensity extracted from operational weather data. We compare baseline phenological models to models incorporating both local and remote weather conditions using an ensemble approach. Single models are compared to ensemble models (average prediction of top 10 models). The models were evaluated by omitting single years from our 10‐year dataset. In general, we find that wind conditions, in addition to seasonal and diurnal dynamics, are key for accurate predictions. The spring and fall migratory seasons differ, both with respect to the selected environmental variables and the contribution of the environmental model compared to the phenological model. In fall, the accumulation of migrants due to strong headwinds is an important predictor of migration. Because of the lower daily variation in migration intensity in spring, the phenological model performs better compared to fall. In fall, weather conditions contribute more to accurate predictions of migration intensity than in spring. Overall, the ensemble approach produces more accurate predictions outperforming specific environmental models. We therefore recommend that ensemble models be used in operational settings such as flight planning to reduce bird aircraft collisions during intense bird migration. |
| first_indexed | 2024-12-10T05:14:42Z |
| format | Article |
| id | doaj.art-cf1c9b9b7d944135b053667d08615125 |
| institution | Directory Open Access Journal |
| issn | 2688-8319 |
| language | English |
| last_indexed | 2024-12-10T05:14:42Z |
| publishDate | 2022-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | Ecological Solutions and Evidence |
| spelling | doaj.art-cf1c9b9b7d944135b053667d086151252022-12-22T02:01:00ZengWileyEcological Solutions and Evidence2688-83192022-07-0133n/an/a10.1002/2688-8319.12158Ensemble predictions are essential for accurate bird migration forecasts for conservation and flight safetyBart Kranstauber0Willem Bouten1Hans van Gasteren2Judy Shamoun‐Baranes3Institute for Biodiversity and Ecosystem Dynamics University of Amsterdam Amsterdam The NetherlandsInstitute for Biodiversity and Ecosystem Dynamics University of Amsterdam Amsterdam The NetherlandsInstitute for Biodiversity and Ecosystem Dynamics University of Amsterdam Amsterdam The NetherlandsInstitute for Biodiversity and Ecosystem Dynamics University of Amsterdam Amsterdam The NetherlandsAbstract Accurate predictions of the abundance of migrating birds are important to avoid aerial conflicts of birds, for example, with aviation or wind power installations. Here we develop a predictive model, using bird migration intensity extracted from operational weather data. We compare baseline phenological models to models incorporating both local and remote weather conditions using an ensemble approach. Single models are compared to ensemble models (average prediction of top 10 models). The models were evaluated by omitting single years from our 10‐year dataset. In general, we find that wind conditions, in addition to seasonal and diurnal dynamics, are key for accurate predictions. The spring and fall migratory seasons differ, both with respect to the selected environmental variables and the contribution of the environmental model compared to the phenological model. In fall, the accumulation of migrants due to strong headwinds is an important predictor of migration. Because of the lower daily variation in migration intensity in spring, the phenological model performs better compared to fall. In fall, weather conditions contribute more to accurate predictions of migration intensity than in spring. Overall, the ensemble approach produces more accurate predictions outperforming specific environmental models. We therefore recommend that ensemble models be used in operational settings such as flight planning to reduce bird aircraft collisions during intense bird migration.https://doi.org/10.1002/2688-8319.12158bird migrationbird strikesensemble modelflight safetyradar monitoringweather radar |
| spellingShingle | Bart Kranstauber Willem Bouten Hans van Gasteren Judy Shamoun‐Baranes Ensemble predictions are essential for accurate bird migration forecasts for conservation and flight safety Ecological Solutions and Evidence bird migration bird strikes ensemble model flight safety radar monitoring weather radar |
| title | Ensemble predictions are essential for accurate bird migration forecasts for conservation and flight safety |
| title_full | Ensemble predictions are essential for accurate bird migration forecasts for conservation and flight safety |
| title_fullStr | Ensemble predictions are essential for accurate bird migration forecasts for conservation and flight safety |
| title_full_unstemmed | Ensemble predictions are essential for accurate bird migration forecasts for conservation and flight safety |
| title_short | Ensemble predictions are essential for accurate bird migration forecasts for conservation and flight safety |
| title_sort | ensemble predictions are essential for accurate bird migration forecasts for conservation and flight safety |
| topic | bird migration bird strikes ensemble model flight safety radar monitoring weather radar |
| url | https://doi.org/10.1002/2688-8319.12158 |
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