Evidence map›Paper›PMID 36750910›Full record

ArticleMovement ecology2023

Movement predictability of individual barn owls facilitates estimation of home range size and survival.

Shlomo Cain, Tovale Solomon, Yossi Leshem, Sivan Toledo, Eitam Arnon, Alexandre Roulin, Orr Spiegel

Open access · goldAbstract read
In one paragraph

Article in Movement ecology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
22.4field-weighted citation impact, top 1% of its field
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

11 citing papers in PubMed, 35 citations in OpenAlex.

  1. Barn owls exert top-down effects on the abundance and behavior of rodent pests.Ecological applications : a publication of the Ecological Society of America · 2026
    Article
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  3. Abundance, Diet and Foraging of Galápagos Barn Owls (Animals : an open access journal from MDPI · 2025
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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

7 authors at 2 institutions in 2 countries.

Shlomo Cain *School of Zoology, Faculty of Life Sciences, Tel Aviv University, 69978, Tel Aviv, Israel.
Tovale Solomon *School of Zoology, Faculty of Life Sciences, Tel Aviv University, 69978, Tel Aviv, Israel.
Yossi LeshemSchool of Zoology, Faculty of Life Sciences, Tel Aviv University, 69978, Tel Aviv, Israel.
Sivan ToledoBlavatnik School of Computer Science, Tel Aviv University, 69978, Tel Aviv, Israel.
Eitam ArnonSchool of Zoology, Faculty of Life Sciences, Tel Aviv University, 69978, Tel Aviv, Israel.
Alexandre RoulinDepartment of Ecology and Evolution, Building Biophore, University of Lausanne, 1015, Lausanne, Switzerland.
Orr SpiegelSchool of Zoology, Faculty of Life Sciences, Tel Aviv University, 69978, Tel Aviv, Israel. orrspiegel@tauex.tau.ac.il.
Tel Aviv University · ILUniversity of Lausanne · CH

Funding

Israeli Science Foundation ISF1919/19Israeli Science Foundation ISF396/20
6 · The paper itself

Abstract

backgroundThere is growing attention to individuality in movement, its causes and consequences. Similarly to other well-established personality traits (e.g., boldness or sociability), conspecifics also differ repeatedly in their spatial behaviors, forming behavioral types ("spatial-BTs"). These spatial-BTs are typically described as the difference in the mean-level among individuals, and the intra-individual variation (IIV, i.e., predictability) is only rarely considered. Furthermore, the factors determining predictability or its ecological consequences for broader space-use patterns are largely unknown, in part because predictability was mostly tested in captivity (e.g., with repeated boldness assays). Here we test if (i) individuals differ in their movement and specifically in their predictability. We then investigate (ii) the consequences of this variation for home-range size and survival estimates, and (iii) the factors that affect individual predictability.

methodsWe tracked 92 barn owls (Tyto alba) with an ATLAS system and monitored their survival. From these high-resolution (every few seconds) and extensive trajectories (115.2 ± 112.1 nights; X̅ ± SD) we calculated movement and space-use indices (e.g., max-displacement and home-range size, respectively). We then used double-hierarchical and generalized linear mix-models to assess spatial-BTs, individual predictability in nightly max-displacement, and its consistency across time. Finally, we explored if predictability levels were associated with home-range size and survival, as well as the seasonal, geographical, and demographic factors affecting it (e.g., age, sex, and owls' density).

resultsOur dataset (with 74 individuals after filtering) revealed clear patterns of individualism in owls' movement. Individuals differed consistently both in their mean movement (e.g., max-displacement) and their IIV around it (i.e., predictability). More predictable individuals had smaller home-ranges and lower survival rates, on top and beyond the expected effects of their spatial-BT (max-displacement), sex, age and ecological environments. Juveniles were less predictable than adults, but the sexes did not differ in their predictability.

conclusionThese results demonstrate that individual predictability may act as an overlooked axis of spatial-BT with potential implications for relevant ecological processes at the population level and individual fitness. Considering how individuals differ in their IIV of movement beyond the mean-effect can facilitate understanding the intraspecific diversity, predicting their responses to changing ecological conditions and their population management.

Indexed as

Animal personalityBehavioral plasticityBehavioral syndromesBio-telemetryDouble-hierarchical generalized linear model (DHGLM)High-throughput trackingMovement ecology

Identifiers

PMID36750910
PMCPMC9906850
OpenAlexW4319346989

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.