N Rogova, M Iliev, N Petkov, A Timoshenko, D Vangeluwe, I Zuban, A Pidgeon, and V Radeloff (2025)
Modelling migratory waterfowl stopover habitat while accounting for ephemeral environmental conditions
Journal of Applied Ecology, 62:2941–2953. .
1.Migratory species depend on ephemeral environmental conditions; thus, species
distribution modelling (SDM) must incorporate phenological changes along migratory
routes. Our overarching goal was to model habitats for three waterfowl species
migrating through Eurasian grasslands (red-breasted
goose [Branta ruficollis],
taiga bean goose [Anser fabalis fabalis] and Bewick's swan [Cygnus columbianus bewickii])
while accounting for ephemeral environmental conditions. Our objectives
were (a) to develop a workflow of mapping ephemeral environmental conditions,
(b) model habitats for the three species and (c) evaluate the protection status of
habitats in natural and agricultural landscapes. We expected water availability,
particularly ephemeral spring waterbodies, to strongly influence these species'
distributions.
2. We utilized MODIS data for phenological synchronization of Landsat images
to create species-and
season-specific
metrics and land cover maps. We used
Landsat-derived
environmental variables, elevation and bird GPS locations in
Maxent SDM. We compared locations of modelled habitats, protected areas and
Ramsar sites.
3. Our land cover maps had an overall accuracy of 0.92–0.95 and captured ephemeral
water extent during these species' migrations. All models had AUC scores of
0.89–0.94; distance to water, land cover and elevation were the most important
variables. Modelled habitats were distributed unevenly and occurred in both natural
and agricultural landscapes; 40%–76% fell within croplands. Although most
croplands provide a rich food supply, their value as waterfowl habitat critically
depended on water availability. Approximately 22% of potential habitat in the
natural landscape, but only 3% in croplands, had some level of protection.
Peer Review, International Redaction Board, Impact Factor
- DOI: 10.1111/1365-2664.70169
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