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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/38567
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Title: | High‑resolution species distribution modelling reveals spatio‑temporal variability of habitat suitability in a declining grassland bird |
Authors: | Crispim, Tiago Valerio, Francesco Marques, Ana Teresa Pita, Ricardo Godinho, Sérgio Silva, João Paulo |
Issue Date: | 19-Feb-2024 |
Publisher: | Springer |
Citation: | Crispim-Mendes, T., Valerio, F., Marques, A.T., Pita, R., Godinho, S., & Silva, J.P. (2024). High-resolution species distribution modelling reveals spatio-temporal variability of habitat suitability in a declining grassland bird. Landscape Ecology, 39, 49. https://doi.org/10.1007/s10980-024-01848-6 |
Abstract: | Context Species distribution models (SDMs) may
provide accurate predictions of species occurrence
across space and time, being critical for effective con
servation 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 pre
dictors 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 suita
bility 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 appar
ently 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 poten
tial impact on little bustard decline over nearly 20
years. Spatio-temporal variations in habitat suitability
are also identified in this work, which can help pri
oritize conservation areas, particularly the breeding
areas that have remained stable over time, as this is a
key requirement for little bustard lek breeding system. |
URI: | http://hdl.handle.net/10174/38567 |
Type: | article |
Appears in Collections: | MED - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
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