Evidence map›Paper›PMID 26938085›Full record

ArticlePloS one2016

How Big Is It Really? Assessing the Efficacy of Indirect Estimates of Body Size in Asian Elephants.

Simon N Chapman, Hannah S Mumby, Jennie A H Crawley, Khyne U Mar, Win Htut, Aung Thura Soe, Htoo Htoo Aung, Virpi Lummaa

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Milk Composition of Asian Elephants (Animals : an open access journal from MDPI · 2020
    Article
  3. Article
  4. Article
  5. 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

8 authors.

Simon N ChapmanDepartment of Animal and Plant Science, University of Sheffield, Western Bank, Sheffield, S10 2TN, United Kingdom.
Hannah S MumbyDepartment of Animal and Plant Science, University of Sheffield, Western Bank, Sheffield, S10 2TN, United Kingdom.
Jennie A H CrawleyDepartment of Animal and Plant Science, University of Sheffield, Western Bank, Sheffield, S10 2TN, United Kingdom.
Khyne U MarDepartment of Animal and Plant Science, University of Sheffield, Western Bank, Sheffield, S10 2TN, United Kingdom.
Win HtutMyanma Timber Enterprise, Extraction Department, Ministry for Environmental Conservation and Forestry, Yangon, Myanmar.
Aung Thura SoeMyanma Timber Enterprise, Extraction Department, Ministry for Environmental Conservation and Forestry, Yangon, Myanmar.
Htoo Htoo AungMyanma Timber Enterprise, Extraction Department, Ministry for Environmental Conservation and Forestry, Yangon, Myanmar.
Virpi LummaaDepartment of Biology, University of Turku, FIN-20014, Turku, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Information on an organism's body size is pivotal in understanding its life history and fitness, as well as helping inform conservation measures. However, for many species, particularly large-bodied wild animals, taking accurate body size measurements can be a challenge. Various means to estimate body size have been employed, from more direct methods such as using photogrammetry to obtain height or length measurements, to indirect prediction of weight using other body morphometrics or even the size of dung boli. It is often unclear how accurate these measures are because they cannot be compared to objective measures. Here, we investigate how well existing estimation equations predict the actual body weight of Asian elephants Elephas maximus, using body measurements (height, chest girth, length, foot circumference and neck circumference) taken directly from a large population of semi-captive animals in Myanmar (n = 404). We then define new and better fitting formulas to predict body weight in Myanmar elephants from these readily available measures. We also investigate whether the important parameters height and chest girth can be estimated from photographs (n = 151). Our results show considerable variation in the ability of existing estimation equations to predict weight, and that the equations proposed in this paper predict weight better in almost all circumstances. We also find that measurements from standardised photographs reflect body height and chest girth after applying minor adjustments. Our results have implications for size estimation of large wild animals in the field, as well as for management in captive settings.

Indexed as

Body SizeBody WeightAnimalsElephantsFemaleMaleMyanmarPhotographyRegression Analysis

Identifiers

PMID26938085
PMCPMC4777392

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Registered trials

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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.