Evidence map›Paper›PMID 39259585›Full record

ArticleeLife2024

Developmental stage shapes the realized energy landscape for a flight specialist.

Elham Nourani, Louise Faure, Hester Brønnvik, Martina Scacco, Enrico Bassi, Wolfgang Fiedler, Martin U Grüebler, Julia S Hatzl, David Jenny, Andrea Roverselli and 4 more

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Elham NouraniDepartment of Migration, Max Planck Institute of Animal Behavior, Radolfzell, Germany.ORCID https://orcid.org/0000-0003-4420-3902
Louise Faure *Department of Migration, Max Planck Institute of Animal Behavior, Radolfzell, Germany.ORCID https://orcid.org/0009-0007-4504-3310
Hester Brønnvik *Department of Migration, Max Planck Institute of Animal Behavior, Radolfzell, Germany.ORCID https://orcid.org/0000-0002-3061-0630
Martina Scacco *Department of Migration, Max Planck Institute of Animal Behavior, Radolfzell, Germany.
Enrico BassiERSAF-Direzione Parco Nazionale dello Stelvio, Bormio, Italy.
Wolfgang FiedlerDepartment of Migration, Max Planck Institute of Animal Behavior, Radolfzell, Germany.
Martin U GrüeblerSwiss Ornithological Institute, Sempach, Switzerland.ORCID https://orcid.org/0000-0003-4468-8292
Julia S HatzlSwiss Ornithological Institute, Sempach, Switzerland.
David JennySwiss Ornithological Institute, Sempach, Switzerland.
Andrea RoverselliERSAF-Direzione Parco Nazionale dello Stelvio, Bormio, Italy.
Petra SumasgutnerKonrad Lorenz Research Center (KLF), Core Facility for Behavior and Cognition, Department of Behavioral and Cognitive Biology, University of Vienna, Grünau/Almtal, Austria.ORCID https://orcid.org/0000-0001-7042-3461
Matthias TschumiSwiss Ornithological Institute, Sempach, Switzerland.ORCID https://orcid.org/0000-0002-7991-7780
Martin WikelskiDepartment of Migration, Max Planck Institute of Animal Behavior, Radolfzell, Germany.
Kamran SafiDepartment of Migration, Max Planck Institute of Animal Behavior, Radolfzell, Germany.ORCID https://orcid.org/0000-0002-8418-6759

Funding

Deutsche Forschungsgemeinschaft Emmy Noether Fellowship 463925853Deutsche Forschungsgemeinschaft EXC 2117 - 422037984
6 · The paper itself

Abstract

The heterogeneity of the physical environment determines the cost of transport for animals, shaping their energy landscape. Animals respond to this energy landscape by adjusting their distribution and movement to maximize gains and reduce costs. Much of our knowledge about energy landscape dynamics focuses on factors external to the animal, particularly the spatio-temporal variations of the environment. However, an animal's internal state can significantly impact its ability to perceive and utilize available energy, creating a distinction between the 'fundamental' and the 'realized' energy landscapes. Here, we show that the realized energy landscape varies along the ontogenetic axis. Locomotor and cognitive capabilities of individuals change over time, especially during the early life stages. We investigate the development of the realized energy landscape in the Central European Alpine population of the golden eagle

Indexed as

Energy MetabolismFlight, AnimalEaglesbehavioral developmentbio-loggingcost of transportdispersalecologygolden eagle (aquila chrysaetos)ontogenysoaring flight

Identifiers

PMID39259585
PMCPMC11390109

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.