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Article

Combining Citizen Science Data and Satellite Descriptors of Ecosystem Functioning to Monitor the Abundance of a Migratory Bird during the Non-Breeding Season

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Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4169-007 Porto, Portugal
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Departamento de Zooloxía, Xenética e Antropoloxía Física, Universidade de Santiago de Compostela, 15782 Santiago, Spain
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CIBIO-InBIO—Centro de Investigação em Biodiversidade e Recursos Genéticos, Laboratório Associado, Universidade do Porto, Campus de Vairão, 4485-661 Vila do Conde, Portugal
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BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
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Centre Tecnològic i Forestal de Catalunya (CTFC), Ctra. St. Llorenç de Morunys km 2, 25280 Solsona, Spain
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proMetheus—Research Unit in Materials, Energy and Environment for Sustainability, Instituto Politécnico de Viana do Castelo (IPVC), Avenida do Atlântico, No. 644, 4900-348 Viana do Castelo, Portugal
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DRRF, Direção Regional dos Recursos Florestais, 9500-050 Ponta Delgada, Portugal
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Associação Nacional de Caçadores de Galinholas, Largo das Tílias, 4, 4900-012 Afife, Portugal
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Club de Cazadores de Becada, Avenida Schulz 8, 4°Dcha., 33208 Gijón, Spain
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Research Group on Game Species Breeding and Management, Department of Animal Rearing, School of Veterinary Science, Vegazana Campus, 24071 León, Spain
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Club National des Becassiers, 105, Rue Louis Pergaud, Villeneuve, 16430 Champniers, France
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Club National des Becassiers, 3, Allée des Chénes, 87220 Feytiat, France
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Author to whom correspondence should be addressed.
Academic Editor: Magaly Koch
Remote Sens. 2022, 14(3), 463; https://doi.org/10.3390/rs14030463
Received: 10 November 2021 / Revised: 17 December 2021 / Accepted: 15 January 2022 / Published: 19 January 2022
(This article belongs to the Special Issue Remote Sensing of Biodiversity Monitoring)
Migratory birds are particularly exposed to habitat changes in their breeding and non-breeding grounds. Remote sensing technologies offer an excellent opportunity to monitor species’ habitats from space at unprecedented spatiotemporal scales. We analyzed if remotely sensed ecosystem functioning attributes (EFAs) adequately predict the spatiotemporal variation of the Woodcock’s (Scolopax rusticola) relative abundance in southwest Europe, during autumn migration and wintering periods. We used data gathered from Woodcock monitoring through citizen science (N = 355,654 hunting trips) between 2009 and 2018. We computed a comprehensive set of EFAs on a weekly basis from three MODIS satellite products: enhanced vegetation index (EVI), tasseled cap transformation (TCT), and land surface temperature (LST). We developed generalized linear mixed models to explore the predictive power of EFAs on Woodcock’s abundance during the non-breeding season. Results showed that Woodcock abundance is correlated with spatiotemporal dynamics in primary productivity (measured through the EVI), water cycle dynamics (wetness component of TCT), and surface energy balance (LST) in both periods. Our findings underline the potential of combining citizen science and remote sensing data to monitor migratory birds throughout their life cycles—an issue of critical importance to ensure adequate habitat management in the non-breeding areas. View Full-Text
Keywords: remote sensing; EFAs; Scolopax rusticola; monitoring; citizen science; abundance; non-breeding; migration remote sensing; EFAs; Scolopax rusticola; monitoring; citizen science; abundance; non-breeding; migration
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MDPI and ACS Style

Moreira, F.S.; Regos, A.; Gonçalves, J.F.; Rodrigues, T.M.; Verde, A.; Pagès, M.; Pérez, J.A.; Meunier, B.; Lepetit, J.-P.; Honrado, J.P.; Gonçalves, D. Combining Citizen Science Data and Satellite Descriptors of Ecosystem Functioning to Monitor the Abundance of a Migratory Bird during the Non-Breeding Season. Remote Sens. 2022, 14, 463. https://doi.org/10.3390/rs14030463

AMA Style

Moreira FS, Regos A, Gonçalves JF, Rodrigues TM, Verde A, Pagès M, Pérez JA, Meunier B, Lepetit J-P, Honrado JP, Gonçalves D. Combining Citizen Science Data and Satellite Descriptors of Ecosystem Functioning to Monitor the Abundance of a Migratory Bird during the Non-Breeding Season. Remote Sensing. 2022; 14(3):463. https://doi.org/10.3390/rs14030463

Chicago/Turabian Style

Moreira, Francisco S., Adrián Regos, João F. Gonçalves, Tiago M. Rodrigues, André Verde, Marc Pagès, José A. Pérez, Bruno Meunier, Jean-Pierre Lepetit, João P. Honrado, and David Gonçalves. 2022. "Combining Citizen Science Data and Satellite Descriptors of Ecosystem Functioning to Monitor the Abundance of a Migratory Bird during the Non-Breeding Season" Remote Sensing 14, no. 3: 463. https://doi.org/10.3390/rs14030463

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