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Binturong ecology and conservation in pristine, fragmented and degraded tropical forests—ERRATUM

Published online by Cambridge University Press:  18 July 2023

Abstract

Type
Correction
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of Fauna & Flora International

Within Table 1 the exponents of the following four covariates were incorrectly omitted: ‘Oil palm2’, ‘Forest cover2’, ‘Forest integrity2’ and ‘Human footprint2’. Please see the corrected table below:

Table. 1 Model selection explaining the variation in camera-trap detections of binturongs Arctictis binturong amongst the landscapes assessed in this study (Fig. 2). The table shows univariate model selection criteria from the zero-inflated Poisson generalized linear mixed modelling assessing variation in independent detections of the binturong, including study effort and landscape as random effects. All covariates were averaged for the 20-km radius areas surrounding the study area, then centred and standardized so that effect sizes can be interpreted relative to each other. The sample sizes were 181 detections from 72 studies in 38 landscapes excluding Singapore, and 181 detections from 91 studies in 41 landscapes including Singapore.

1 AICc, Akaike information criterion corrected for small sample size (lower values indicate better model performance).

2 LogLik, log-likelihood (higher values indicate better model fit).

3 ΔAICc, difference of AICc to the best-performing model.

References

Honda, A., Amir, Z., Mendes, C.P., Moore, J.H. & Luskin, M. ( 2023 ) Binturong ecology and conservation in pristine, fragmented and degraded tropical forests. Oryx, published online 4 July 2023.Google Scholar
Figure 0

Table. 1 Model selection explaining the variation in camera-trap detections of binturongs Arctictis binturong amongst the landscapes assessed in this study (Fig. 2). The table shows univariate model selection criteria from the zero-inflated Poisson generalized linear mixed modelling assessing variation in independent detections of the binturong, including study effort and landscape as random effects. All covariates were averaged for the 20-km radius areas surrounding the study area, then centred and standardized so that effect sizes can be interpreted relative to each other. The sample sizes were 181 detections from 72 studies in 38 landscapes excluding Singapore, and 181 detections from 91 studies in 41 landscapes including Singapore.