High-resolution species distribution modelling reveals spatio-temporal variability of habitat suitability in a declining grassland bird

dc.contributor.authorCrispim-Mendes, Tiago
dc.contributor.authorValerio, Francesco
dc.contributor.authorMarques, Teresa
dc.contributor.authorPita, Ricardo
dc.contributor.authorGodinho, Sérgio
dc.contributor.editorWu, Jianguo
dc.date.accessioned2025-06-13T10:40:09Z
dc.date.available2025-06-13T10:40:09Z
dc.date.issued2024-02-19
dc.description.abstractContext: Species distribution models (SDMs) may provide accurate predictions of species occurrence across space and time, being critical for effective conservation planning. Objectives: Focusing on the little bustard (Tetrax tetrax), an endangered grassland bird, we aimed to: (i) characterise the drivers of the species distribution along its key phenological phases (winter, breeding, and post-breeding); and (ii) quantify spatio-temporal variation in habitat suitability across phenological phases and over the years 2005–2021. Methods: Combining remotely sensed metrics at high temporal resolution (MODIS) with long-term (> 12 years) GPS telemetry data collected for 91 individuals at one of the species’ main strongholds within the Iberian Peninsula, we built SDMs (250 m resolution) for the species key phenological phases. Results: The use of both dynamic and static predictors unveiled previously unknown ecological responses by little bustards, revealing a marked change in the spatial distribution of suitable habitat among phenological phases. Long-term habitat suitability trends showed considerable fluctuations, mainly in the breeding and post-breeding phases. Overall, SDM projections into the past revealed that while the species’ winter and post-breeding habitats apparently increased since 2005, suitable habitat during the species’ most critical phenological phase, breeding, apparently reduced in area over time. Conclusions: Our findings show that matching remotely sensed data with GPS tracking data results in accurate habitat suitability predictions throughout the yearly cycle. Additionally, our findings stress the importance of quantifying habitat loss and its potential impact on little bustard decline over nearly 20 years. Spatio-temporal variations in habitat suitability are also identified in this work, which can help prioritize conservation areas, particularly the breeding areas that have remained stable over time, as this is a key requirement for little bustard lek breeding system.por
dc.identifier.authoremailtiago_fc_mendes@hotmail.com
dc.identifier.authoremailfvalerio@cibio.up.pt
dc.identifier.authoremailanateresamarques@cibio.up.pt
dc.identifier.authoremailrpita@uevora.pt
dc.identifier.authoremailsgodinho@uevora.pt
dc.identifier.citationCrispim-Mendes T, Valerio F, Marques AT, Pita R, Godinho S, Silva JP (2024) High-resolution species distribution modelling reveals spatial variability of habitat suitability in a declining grassland bird. Landscape Ecology 39:49.por
dc.identifier.doihttps://doi.org/10.1007/s10980-024-01848-6por
dc.identifier.scientificarea221por
dc.identifier.urihttps://link.springer.com/article/10.1007/s10980-024-01848-6
dc.identifier.urihttp://hdl.handle.net/10174/38545
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherSpringerpor
dc.rightsopenAccesspor
dc.subjectGPS telemetrypor
dc.subjectLittle bustardpor
dc.subjectMovement ecologypor
dc.subjectRandom forestspor
dc.subjectRemote sensingpor
dc.subjectTetrax tetraxpor
dc.titleHigh-resolution species distribution modelling reveals spatio-temporal variability of habitat suitability in a declining grassland birdpor
dc.typearticlepor

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