How Accurate Are Population Predictions? Wind Farms and Egyptian Vultures as a Case Study
This article belongs to the Special Issue Advances in Wildlife Conservation and Habitat Management in the Anthropocene
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/412219 |
| Acceso en línea: | http://hdl.handle.net/10261/412219 |
| Access Level: | acceso abierto |
| Palabra clave: | PVA Viability of population Wind farm Bird mortality Neophron percnopterus Prediction of population trajectories Observed versus predicted population trajectories |
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How Accurate Are Population Predictions? Wind Farms and Egyptian Vultures as a Case StudyFerrer, MiguelGarcía-Macía, JorgeSánchez, MarMorandini, VirginiaPVAViability of populationWind farmBird mortalityNeophron percnopterusPrediction of population trajectoriesObserved versus predicted population trajectoriesThis article belongs to the Special Issue Advances in Wildlife Conservation and Habitat Management in the AnthropoceneIt is clear that scientists’ predictions must be rigorous and based on scientific evidence, but, even more, it is crucial to review scientific predictions after a reasonable time. However, predictions of published PVAs have rarely been contrasted with real populations’ trends over time. This is worrisome because this is the only way to keep learning and improve our ability to make more accurate predictions. In addition, conservation efforts can shift the initial predictions for the viability of threatened populations; thus, the evaluation of initial predictions becomes required over time. This is the case of the Egyptian vulture in Spain, where trajectories of real populations over the years differ from large-scale predictions. Its extinction in the Iberian Peninsula—due to mortality in wind farms, among other causes—was predicted by 2020, according to published viability analyses; yet, 14 years after this publication, not only did it not happen, but its national (and European) population remains stable and is even slightly increasing (+2.6%). These differences between predicted and observed trajectories of populations show the limitations of the simulations as a conservation tool and offer the opportunity to evaluate the used PVAs and the shortcomings that affected the assessment of the real trajectory of the species. With only four years of data available to simulate and generate 100-year predictions, along with the distribution and variance of mortality rates by collision in wind farms and an overestimation the number of pairs in risk areas, a clear relationship was assumed between predicted risk according to distances and the actual recorded mortality at wind farms, even though it is known that these are not closely related.Peer reviewedMultidisciplinary Digital Publishing InstituteFerrer, Miguel [0000-0003-0092-8450]Morandini, Virginia [0000-0003-0665-5713]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2026202620252026info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/412219reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.3390/biology14121743Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/4122192026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
How Accurate Are Population Predictions? Wind Farms and Egyptian Vultures as a Case Study |
| title |
How Accurate Are Population Predictions? Wind Farms and Egyptian Vultures as a Case Study |
| spellingShingle |
How Accurate Are Population Predictions? Wind Farms and Egyptian Vultures as a Case Study Ferrer, Miguel PVA Viability of population Wind farm Bird mortality Neophron percnopterus Prediction of population trajectories Observed versus predicted population trajectories |
| title_short |
How Accurate Are Population Predictions? Wind Farms and Egyptian Vultures as a Case Study |
| title_full |
How Accurate Are Population Predictions? Wind Farms and Egyptian Vultures as a Case Study |
| title_fullStr |
How Accurate Are Population Predictions? Wind Farms and Egyptian Vultures as a Case Study |
| title_full_unstemmed |
How Accurate Are Population Predictions? Wind Farms and Egyptian Vultures as a Case Study |
| title_sort |
How Accurate Are Population Predictions? Wind Farms and Egyptian Vultures as a Case Study |
| dc.creator.none.fl_str_mv |
Ferrer, Miguel García-Macía, Jorge Sánchez, Mar Morandini, Virginia |
| author |
Ferrer, Miguel |
| author_facet |
Ferrer, Miguel García-Macía, Jorge Sánchez, Mar Morandini, Virginia |
| author_role |
author |
| author2 |
García-Macía, Jorge Sánchez, Mar Morandini, Virginia |
| author2_role |
author author author |
| dc.contributor.none.fl_str_mv |
Ferrer, Miguel [0000-0003-0092-8450] Morandini, Virginia [0000-0003-0665-5713] Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
PVA Viability of population Wind farm Bird mortality Neophron percnopterus Prediction of population trajectories Observed versus predicted population trajectories |
| topic |
PVA Viability of population Wind farm Bird mortality Neophron percnopterus Prediction of population trajectories Observed versus predicted population trajectories |
| description |
This article belongs to the Special Issue Advances in Wildlife Conservation and Habitat Management in the Anthropocene |
| publishDate |
2025 |
| dc.date.none.fl_str_mv |
2025 2026 2026 2026 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10261/412219 |
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http://hdl.handle.net/10261/412219 |
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Inglés |
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Inglés |
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https://doi.org/10.3390/biology14121743 Sí |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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Multidisciplinary Digital Publishing Institute |
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Multidisciplinary Digital Publishing Institute |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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15,812429 |