Assessing Bornean orangutan (Pongo pygmaeus) populations within the Sebangau National Park, Borneo: An analysis of current and emerging nest survey methods
Goodhead, C
Date: 5 February 2024
Thesis or dissertation
Publisher
University of Exeter
Degree Title
MbyRes in Biological Sciences
Abstract
Escalating anthropogenic pressures exert a considerable burden on the natural
world, leading to dramatic declines in wildlife populations globally. Gaining a
comprehensive understanding of population trends is critical for the formation of
effective conservation strategies. This thesis evaluates the value of nest surveys for
quantifying ...
Escalating anthropogenic pressures exert a considerable burden on the natural
world, leading to dramatic declines in wildlife populations globally. Gaining a
comprehensive understanding of population trends is critical for the formation of
effective conservation strategies. This thesis evaluates the value of nest surveys for
quantifying populations of the critically endangered Bornean orangutan (Pongo
pygmaeus).
The first data chapter uses a long-term dataset from the Sebangau National Park,
Central Kalimantan, to produce more accurate estimates for the parameters used to
convert nest densities into population estimates. Overall, the proportion of nest
builders in a population (‘p’) was estimated at 0.79 and the rate of nest building (‘r’)
was estimated at 1.19. No significant effect of age-sex class on nest-building rates
was found. The nest decay rate (‘t’) was estimated at 424 days and was found to be
significantly impacted by nest height and annual weather patterns. All parameter
estimates produced differ from previous estimates used for surveys at the site.
Substantial temporal variation in nest decay rates was found, suggesting that
population estimates produced from short sampling periods may be inaccurate,
which has considerable implications for great ape population estimates using nest
surveys.
The second data chapter evaluates the potential of drones for conducting nest
surveys by comparing nest counts from ground and drone transects. The drone
surveys detected 17.2% of the total number of nests estimated from traditional
ground surveys. Ground and aerial nest counts were not significantly correlated, and
wide confidence intervals mean caution needs to be exercised if these methods are
to be used for orangutan population estimates. Nest detection rates were
significantly affected by nest age, canopy cover, and nest height.
Overall, it is concluded that despite having higher inaccuracies than previously
thought, nest surveys can still provide valuable insights into populations, and it may
be possible to combine both aerial and ground nest surveys to increase spatial scale
of surveys, so long as caveats are acknowledged.
MbyRes Dissertations
Doctoral College
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