Modelling habitat selection using presence-only data: Case study of a colonial hollow nesting bird, the snow petrel

2006 ◽  
Vol 195 (3-4) ◽  
pp. 187-204 ◽  
Author(s):  
Frédérique Olivier ◽  
Simon J. Wotherspoon
Keyword(s):  
Habitat Selection ◽  
Snow Petrel

scholarly journals The Ornithodolite as a tool to quantify animal space use and habitat selection: a case study with birds diving in tidal waters

2019 ◽  
Vol 14 (1) ◽  
pp. 4-16 ◽  
Author(s):  
Emma-Louise COLE ◽  
James J WAGGITT ◽  
Anders HEDENSTROM ◽  
Marco PIANO ◽  
Mark D. HOLTON ◽  
...  
Keyword(s):  
Habitat Selection ◽  
Space Use ◽  
Tidal Waters

scholarly journals No Habitat Selection during Spring Migration at a Meso-Scale Range across Mosaic Landscapes: A Case Study with the Woodcock (Scolopax rusticola)

PLoS ONE ◽  
2016 ◽  
Vol 11 (3) ◽  
pp. e0149790 ◽  
Author(s):  
Ariñe Crespo ◽  
Marcos Rodrigues ◽  
Ibon Telletxea ◽  
Rubén Ibáñez ◽  
Felipe Díez ◽  
...  
Keyword(s):  
Habitat Selection ◽  
Spring Migration ◽  
Scolopax Rusticola ◽  
Mosaic Landscapes ◽  
Scale Range ◽  
Meso Scale

Habitat Selection Using GIS Data: A Case Study

1998 ◽  
Vol 3 (3) ◽  
pp. 296 ◽  
Author(s):  
Wallace P. Erickson ◽  
Trent L. McDonald ◽  
Robert Skinner
Keyword(s):  
Habitat Selection ◽  
Gis Data

scholarly journals Energy selection functions: modelling the energetic drivers of animal movement and habitat use

2021 ◽  
Author(s):  
Natasha J. Klappstein ◽  
Jonathan Potts ◽  
Théo Michelot ◽  
Luca Börger ◽  
Nicholas Pilfold ◽  
...  
Keyword(s):  
Habitat Selection ◽  
Resource Selection ◽  
Animal Movement ◽  
Cost Minimization ◽  
Conditional Logistic Regression ◽  
Data Gathering ◽  
Selection Function ◽  
Landscape Resistance ◽  
Modelling Framework

1. Energetics are a key driver of animal decision-making, as survival depends on the balance between foraging benefits and movement costs. This fundamental perspective is often missing from habitat selection studies, which mainly describe correlations between space use and environmental features, rather than the mechanisms behind these correlations. To address this gap, we present a new modelling framework, the energy selection function (ESF), to assess how moving animals choose habitat based on energetic considerations. 2. The ESF considers that the likelihood of an animal selecting a movement step depends directly on the corresponding energetic gains and costs. The parameters of the ESF measure selection for energetic gains and against energetic costs; when estimated jointly, these provide inferences about foraging and movement strategies. The ESF can be implemented easily with standard conditional logistic regression software, allowing for fast inference. We outline a workflow, from data-gathering to statistical analysis, and use a case study of polar bears (Ursus maritimus) as an illustrative example. 3. We show how defining gains and costs at the scale of the movement step allows us to include detailed information about resource distribution, landscape resistance, and movement patterns. We demonstrate this in the polar bear case study, in which the results show how cost-minimization may arise in species that inhabit environments with an unpredictable distribution of energetic gains. 4. The ESF combines the energetic consequences of both movement and resource selection, thus incorporating a key aspect of evolutionary behaviour into habitat selection analysis. Because of its close links to existing habitat selection models, the ESF is widely applicable to any study system where energetic gains and costs can be derived, and has immense potential for methodological extensions.

scholarly journals Drone assessment of habitat selection and breeding success of Gull-billed Tern Gelochelidon nilotica nesting on low-accessibility sites: a case study

2021 ◽  
Vol 90 (2) ◽  
Author(s):  
Francesco Scarton ◽  
Roberto Valle
Keyword(s):  
Habitat Selection ◽  
Breeding Success ◽  
Hatching Success ◽  
Ground Level ◽  
Breeding Biology ◽  
Nest Attendance ◽  
Fish Farms ◽  
Breeding Sites ◽  
Water Edge

The use of drones in the study of waterbird breeding biology has received considerable attention in the last years, but very few studies were made along the Mediterranean. We studied habitat selection and breeding success of the Gull-billed Tern Gelochelidon nilotica in two colonies inside fish farms along the Italian Adriatic coastline, using a small, commercial drone. Both colonies were located on small islets surrounded by very shallow water and clayey bottoms, thus being difficult to access. Compared with availability, the Gull-billed Terns selected quadrats higher above the water level, with a higher vegetation cover, which lay farther from the water edge, contain less water, and which are more frequently located in the center of the islands. 147 of 178 clutches (mean clutch size ± SD: 2.61 ± 0.58) hatched 383 chicks (82.5%; 2.15 ± 1.09 chicks per nest), with large differences between the two colonies. Hatching success was 95.0% and 69.1%; the most common cause of egg loss was flooding (97.0%). Nest attendance could easily be ascertained by 30-m above ground level drone-derived imagery. The use of a drone allowed the study of some aspects of the breeding biology of the Gull Billed Tern in two breeding sites where the traditional field approach, i.e. researchers reaching the sites by boat, would have been very difficult, causing unavoidable and prolonged disturbance to the nesting adults.

Sign in / Sign up

Export Citation Format

Share Document