Evidence map›Paper›PMID 31236936›Full record

ArticleThe Journal of animal ecology2020

Movement reveals reproductive tactics in male elephants.

Lucy A Taylor, Fritz Vollrath, Ben Lambert, Daniel Lunn, Iain Douglas-Hamilton, George Wittemyer

Open access · hybridAbstract read
In one paragraph

Article in The Journal of animal ecology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Knowledge transmission, culture and the consequences of social disruption in wild elephants.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Male mastodon landscape use changed with maturation (late Pleistocene, North America).Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  8. Social Behavior and Group Formation in Male Asian Elephants (Animals : an open access journal from MDPI · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Behavioural valuation of landscapes using movement data.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Review
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

6 authors at 2 institutions in 3 countries.

Lucy A TaylorDepartment of Zoology, University of Oxford, Oxford, UK.ORCID 0000-0003-4443-9456
Fritz VollrathDepartment of Zoology, University of Oxford, Oxford, UK.
Ben LambertDepartment of Zoology, University of Oxford, Oxford, UK.ORCID 0000-0003-4274-4158
Daniel LunnDepartment of Statistics, University of Oxford, Oxford, UK.
Iain Douglas-HamiltonDepartment of Zoology, University of Oxford, Oxford, UK.
George WittemyerSave the Elephants, Nairobi, Kenya.ORCID 0000-0003-1640-5355
Save the Elephants · KEUniversity of Oxford · GB

Funding

Biotechnology and Biological Sciences Research Council BB/J014427/1
6 · The paper itself

Abstract

Long-term bio-logging has the potential to reveal how movements, and hence life-history trade-offs, vary over a lifetime. Reproductive tactics in particular may vary as individuals' trade-off current investment versus lifetime fitness. Male African savanna elephants (Loxodona africana) provide a telling example of balancing body growth with reproductive fitness due to the combination of indeterminate growth and strongly delineated periods of sexual activity (musth), which results in reproductive tactics that alter with age. Our study aims to quantify the extent to which male elephants alter their movement patterns, and hence energetic allocation, in relation to (a) reproductive state and (b) age, and (c) to determine whether musth periods can be detected directly from GPS tracking data. We used a combination of GPS tracking data and visual observations of 25 male elephants ranging in age from 20 to 52 years to examine the influence of reproductive state and age on movement. We then used a three-state hidden Markov model (HMM) to detect musth behaviour in a subset of sequential tracking data. Our results demonstrate that male elephants increased their daily mean speed and range size with age and in musth. Furthermore, non-musth speed decreased with age, presumably reflecting a shift towards energy acquisition during non-musth. Thus, despite similar speeds and marginally larger ranges between reproductive states at age 20, by age 50, males were travelling 2.0 times faster in a 3.5 times larger area in musth relative to non-musth. The distinctiveness of musth periods over age 35 meant the three-state HMM could automatically detect musth movement with high sensitivity and specificity, but could not for the younger age class. We show that male elephants increased their energetic allocation into reproduction with age as the probability of reproductive success increases. Given that older male elephants tend to be both the target of legal trophy hunting and illegal poaching, man-made interference could drive fundamental changes in elephant reproductive tactics. Bio-logging, as our study reveals, has the potential both to quantify mature elephant reproductive tactics remotely and to be used to institute proactive management strategies around the reproductive behaviour of this charismatic keystone species.

Indexed as

ElephantsAggressionAnimalsMaleMovementReproductionSexual Behavior, Animalbio-loggingelephantGPSmovementmusthreproduction

Identifiers

PMID31236936
PMCPMC7004166
OpenAlexW2955827681

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.