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Mining morphometrics and age from past survey photographs

BACKGROUND: Researchers often document wildlife surveys using images. These images contain data that can be used to understand alterative research objectives, even years after they were originally captured. We have developed a method to measure age and morphology (body size measurements and tusk siz...

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Autores principales: Black, Caitlin E., Mumby, Hannah S., Henley, Michelle D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6513526/
https://www.ncbi.nlm.nih.gov/pubmed/31114625
http://dx.doi.org/10.1186/s12983-019-0309-x
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author Black, Caitlin E.
Mumby, Hannah S.
Henley, Michelle D.
author_facet Black, Caitlin E.
Mumby, Hannah S.
Henley, Michelle D.
author_sort Black, Caitlin E.
collection PubMed
description BACKGROUND: Researchers often document wildlife surveys using images. These images contain data that can be used to understand alterative research objectives, even years after they were originally captured. We have developed a method to measure age and morphology (body size measurements and tusk size) from survey image databases and future surveys, without the availability of a known subject distance or a scale in each image. African savanna elephants (Loxodonta africana) serve as an ideal model species to develop a non-invasive, image-based morphometric methodology: as handling these animals is particularly invasive and expensive, involving anaesthesia and because of their IUCN ‘vulnerable’ status. We compare in situ measurements, taken during collaring events, to tusk-to-body-size ratios, measured from the images. RESULTS: We provide evidence that relative morphological measurements, musth timing, and age of male African savanna elephants can accurately be obtained from a survey image database of over 30,000 images, taken over an 18-year period. Of the 11 tusk to body size ratios calculated, we recommend the use of two in particular for future measurement in African elephants to determine size and age: 1) tusk length to tusk diameter and 2) tusk length to body height. CONCLUSIONS: We present a practical, non-invasive measure to estimate morphometrics, including both age and tusk size from photographs, which has conservation applications to the protection of elephants and is relevant to a range of other taxa. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12983-019-0309-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-65135262019-05-21 Mining morphometrics and age from past survey photographs Black, Caitlin E. Mumby, Hannah S. Henley, Michelle D. Front Zool Methodology BACKGROUND: Researchers often document wildlife surveys using images. These images contain data that can be used to understand alterative research objectives, even years after they were originally captured. We have developed a method to measure age and morphology (body size measurements and tusk size) from survey image databases and future surveys, without the availability of a known subject distance or a scale in each image. African savanna elephants (Loxodonta africana) serve as an ideal model species to develop a non-invasive, image-based morphometric methodology: as handling these animals is particularly invasive and expensive, involving anaesthesia and because of their IUCN ‘vulnerable’ status. We compare in situ measurements, taken during collaring events, to tusk-to-body-size ratios, measured from the images. RESULTS: We provide evidence that relative morphological measurements, musth timing, and age of male African savanna elephants can accurately be obtained from a survey image database of over 30,000 images, taken over an 18-year period. Of the 11 tusk to body size ratios calculated, we recommend the use of two in particular for future measurement in African elephants to determine size and age: 1) tusk length to tusk diameter and 2) tusk length to body height. CONCLUSIONS: We present a practical, non-invasive measure to estimate morphometrics, including both age and tusk size from photographs, which has conservation applications to the protection of elephants and is relevant to a range of other taxa. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12983-019-0309-x) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-13 /pmc/articles/PMC6513526/ /pubmed/31114625 http://dx.doi.org/10.1186/s12983-019-0309-x Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology
Black, Caitlin E.
Mumby, Hannah S.
Henley, Michelle D.
Mining morphometrics and age from past survey photographs
title Mining morphometrics and age from past survey photographs
title_full Mining morphometrics and age from past survey photographs
title_fullStr Mining morphometrics and age from past survey photographs
title_full_unstemmed Mining morphometrics and age from past survey photographs
title_short Mining morphometrics and age from past survey photographs
title_sort mining morphometrics and age from past survey photographs
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6513526/
https://www.ncbi.nlm.nih.gov/pubmed/31114625
http://dx.doi.org/10.1186/s12983-019-0309-x
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