TY - JOUR
T1 - Measuring body condition of lizards
T2 - A comparison between non-invasive dual-energy X-ray absorptiometry, chemical fat extraction and calculated indices
AU - Sion, Guy
AU - Watson, Maggie J.
AU - Bouskila, Amos
N1 - Publisher Copyright:
© 2021, The Author(s).
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2021/12
Y1 - 2021/12
N2 - BackgroundCondition
indices (CIs) are used in ecological studies as a way of measuring an
individual animal’s health and fitness. Noninvasive CIs are estimations
of a relative score of fat content or rely on a ratio of body mass
compared to some measure of size, usually a linear dimension such as
tarsus or snout-vent length. CIs are generally validated invasively by
lethal fat extraction as in a seasonal sample of individuals in a
population. Many alternatives to lethal fat extraction are costly or
time consuming. As an alternative, dual-energy X-ray absorptiometry
(DXA) allows for non-destructive analysis of body composition and
enables multiple measurements during an animal’s life time. DXA has
never been used for ecological studies in a small, free-ranging lizard
before, therefore we calibrated this method against a chemical
extraction of fat from a sample of 6 geckos (Israeli fan toed gecko Ptyodactylus guttatus)
ranging in body mass between 4.2–11.5 g. We then used this calibrated
DXA measurements to determine the best linear measurement calculated CI
for this species. ResultsWe
found that fat mass measured with DXA was significantly correlated with
the mass of chemically extracted fat for specimens more than 4.8 g (N = 5, R2 = 0.995, P < 0.001). Fat percentage regressed with body mass significantly predicted the DXA fat percentage (N = 29, R2adj. = 0.862, p < 0.001). Live wet mass was significantly correlated with predicted fat mass (N = 30, R2 = 0.984, P < 0.001) for specimens more than 4.8 g. Among the five calculated non-invasive CIs that we tested, the best was mass/SVL.ConclusionsWe
recommend that in situations where DXA cannot be used, that the most
accurate of the body condition estimators for this species is mass/SVL
(snout-vent length) for both sexes.
AB - BackgroundCondition
indices (CIs) are used in ecological studies as a way of measuring an
individual animal’s health and fitness. Noninvasive CIs are estimations
of a relative score of fat content or rely on a ratio of body mass
compared to some measure of size, usually a linear dimension such as
tarsus or snout-vent length. CIs are generally validated invasively by
lethal fat extraction as in a seasonal sample of individuals in a
population. Many alternatives to lethal fat extraction are costly or
time consuming. As an alternative, dual-energy X-ray absorptiometry
(DXA) allows for non-destructive analysis of body composition and
enables multiple measurements during an animal’s life time. DXA has
never been used for ecological studies in a small, free-ranging lizard
before, therefore we calibrated this method against a chemical
extraction of fat from a sample of 6 geckos (Israeli fan toed gecko Ptyodactylus guttatus)
ranging in body mass between 4.2–11.5 g. We then used this calibrated
DXA measurements to determine the best linear measurement calculated CI
for this species. ResultsWe
found that fat mass measured with DXA was significantly correlated with
the mass of chemically extracted fat for specimens more than 4.8 g (N = 5, R2 = 0.995, P < 0.001). Fat percentage regressed with body mass significantly predicted the DXA fat percentage (N = 29, R2adj. = 0.862, p < 0.001). Live wet mass was significantly correlated with predicted fat mass (N = 30, R2 = 0.984, P < 0.001) for specimens more than 4.8 g. Among the five calculated non-invasive CIs that we tested, the best was mass/SVL.ConclusionsWe
recommend that in situations where DXA cannot be used, that the most
accurate of the body condition estimators for this species is mass/SVL
(snout-vent length) for both sexes.
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U2 - 10.1186/s12983-020-00382-w
DO - 10.1186/s12983-020-00382-w
M3 - Article
C2 - 33397385
AN - SCOPUS:85098671867
SN - 1742-9994
VL - 18
SP - 1
EP - 9
JO - Frontiers in Zoology
JF - Frontiers in Zoology
M1 - 1
ER -