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Day versus night use of forest by red and roe deer as determined by Corine Land Cover and Copernicus Tree Cover Density: assessing use of geographic layers in movement ecology

Assessing use of geographic layers in movement ecology
Authors: Salvatori, M; de Groeve, J; van Loon, E; de Baets, B; Morellet, Nicolas; Focardi, S; Bonnot, Nadège; +10 Authors

Day versus night use of forest by red and roe deer as determined by Corine Land Cover and Copernicus Tree Cover Density: assessing use of geographic layers in movement ecology

Abstract

Abstract Context Diel use of forest and open habitats by large herbivores is linked to species-specific needs of multiple and heterogeneous resources. However, forest cover layers might deviate considerably for a given landscape, potentially affecting evaluations of animals’ habitat use. Objectives We assessed inconsistency in the estimates of diel forest use by red and roe deer at GPS location and home range (HR) levels, using two geographic layers: Tree Cover Density (TCD) and Corine Land Cover (CLC). Methods We first measured the classification mismatch of red and roe deer GPS locations between TCD and CLC, also with respect to habitat units’ size. Then, we used Generalised Least Squares models to assess the proportional use of forest at day and night at the GPS location and HR levels, both with TCD and CLC. Results About 20% of the GPS locations were inconsistently classified as forest or open habitat by the two layers, particularly within smaller habitat units. Overall proportion of forest and open habitat, though, was very similar for both layers. In all populations, both deer species used forest more at day than at night and this pattern was more evident with TCD than with CLC. However, at the HR level, forest use estimates were only marginally different between the two layers. Conclusions When estimating animal habitat use, geographic layer choice requires careful evaluation with respect to ecological questions and target species. Habitat use analyses based on GPS locations are more sensitive to layer choice than those based on home ranges.

Countries
Germany, Italy, Germany, Norway, Netherlands, Italy, Germany, Italy, France, Belgium, Italy
Keywords

SELECTION, 570, [SDV]Life Sciences [q-bio], 577, 634, HABITAT USE, Ungulates, Habitat analysis, Geographic layers, Movement ecology, CONNECTIVITY, Settore BIO/07 - ECOLOGIA, [SDV.BA.ZV]Life Sciences [q-bio]/Animal biology/Vertebrate Zoology, SUITABILITY, QUALITY, Geographic layers; GPS-telemetry; Habitat analysis; Habitat use; Home range; Movement ecology; Remote sensing; Ungulates, MORTALITY, GPS-telemetry, VDP::Matematikk og Naturvitenskap: 400, Remote sensing, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, HOME-RANGE SIZE, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, [SDV] Life Sciences [q-bio], Home range, Habitat use, Earth and Environmental Sciences, [SDV.BA.ZV] Life Sciences [q-bio]/Animal biology/Vertebrate Zoology, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, BEHAVIOR, RESPONSES

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Top 10%
Green
hybrid