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Variable detectability and El-Niño associations with riparian snakes in Sabah, Malaysian Borneo

Published online by Cambridge University Press:  15 November 2021

Sami Asad Open the ORCID record for Sami Asad [Opens in a new window] ,
Shi Teng Ng ,
Julsun Sikui  and
Mark-Oliver Rödel
Sami Asad*
Affiliation:
Museum für Naturkunde Berlin, Leibniz Institute for Evolution and Biodiversity Science, Berlin, Germany Institute of Biology, Freie Universität Berlin, Berlin, Germany
Shi Teng Ng
Affiliation:
Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia
Julsun Sikui
Affiliation:
Forest Research Centre, Sabah Forestry Department, Sandakan, Sabah, Malaysia
Mark-Oliver Rödel
Affiliation:
Museum für Naturkunde Berlin, Leibniz Institute for Evolution and Biodiversity Science, Berlin, Germany Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
*
Author for correspondence: Sami Asad, Email: sami.asad@mfn.berlin
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Abstract

Although snake populations are suffering numerous local declines, determining the scale of these declines is problematic due to the elusive nature of snakes. Determining the factors associated with species detection is therefore essential for quantifying disturbance effects on populations. From 2017 to 2019, we assessed the detectability associations of five river-associated snake species and all snake detections in general within two logging concessions in Sabah, Malaysian Borneo. Data collected from both stream transects and visual encounter surveys at 47 stream sites were incorporated into an occupancy-modelling framework to determine the climatological, temporal and survey distance associations with species detection probability. Detection probability of riparian snake species was significantly associated with humidity, month (2 spp. each), survey distance and total rainfall over 60 days (1 spp. each). Pooled snake species detectability was significantly positively associated with transect distance and the 2019 El-Niño year, whilst yearly pooled snake species detections in stream transects spiked during El-Niño (2017 = 2.05, 2018 = 2.47, 2019 = 4.5 snakes per km). This study provides new insights into the detectability of riparian rainforest snakes and suggests that future studies should account for short-term (climatological and temporal) and long-term (El-Niño) factors associated with detection probability when surveying and assessing snake populations.

Keywords

climatic/temporal covariatesdetection probabilityMast yearreptilesurvey distance
Type
Research Article
Information
Journal of Tropical Ecology , Volume 38 , Issue 1 , January 2022 , pp. 25 - 30
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Copyright
© The Author(s), 2021. Published by Cambridge University Press

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References

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