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Bohnett, E., Faryabi, S. P., Lewison, R., An, L., Bian, X., Rajabi, A. M., Jahed, N., Rooyesh, H., Mills, E., Ramos, S., Mesnildrey, N., Perez, C. M. S., Taylor, J., Terentyev, V., Ostrowski, S. (2023). Human expertise combined with artificial intelligence improves performance of snow leopard camera trap studies. Global Ecology & Conservation, 41(e02350), 1–13.
Abstract: Camera trapping is the most widely used data collection method for estimating snow leopard (Panthera uncia) abundance; however, the accuracy of this method is limited by human observer errors from misclassifying individuals in camera trap images. We evaluated the extent Whiskerbook (www.whiskerbook.org), an artificial intelligence (AI) software, could reduce this error rate and enhance the accuracy of capture-recapture abundance estimates. Using 439 images of 34 captive snow leopard individuals, classification was performed by five observers with prior experience in individual snow leopard ID (“experts”) and five observers with no such experience (“novices”). The “expert” observers classified 35 out of 34 snow leopard individuals, on average erroneously splitting one individual into two, thus resulting in a higher number than true individuals. The success rate of experts was 90 %, with less than a 3 % error in estimating the population size in capture-recapture modeling. However, the “novice” observers successfully matched 71 % of encounters, recognizing 25 out of 34 individuals, underestimating the population by 25 %. It was found that expert observers significantly outperformed novice observers, making statistically fewer errors (Mann Whitney U test P = 0.01) and finding the true number of individuals (P = 0.01). These differences were contrasted with a previous study by Johansson et al. 2020, using the same subset of 16 individuals from European zoos. With the help of AI and the Whiskerbook platform, “experts” were able to match 87 % of encounters and identify 15 out of 16 individuals, with modeled estimates of 16 ± 1 individuals. In contrast, “novices” were 63 % accurate in matching encounters and identified 12 out of 16 individuals, modeling 12 ± 1 individuals that underestimated the population size by 12 %. When comparing the performance of observers using AI and the Whiskerbook platform to observers performing the tasks manually, we found that observers using Whiskerbook made significantly fewer errors in splitting one individual into two (P = 0.04). However, there were also a significantly higher number of combination errors, where two individuals were combined into one (P = 0.01). Specifically, combination errors were found to be made by “novices” (P = 0.04). Although AI benefited both expert and novice observers, expert observers outperformed novices. Our results suggest that AI effectively reduced the misclassification of individual snow leopards in camera trap studies, improving abundance estimates. However, even with AI support, expert observers were needed to obtain the most accurate estimates.
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Hani, U., Haq, S. M., Shabbir, R., Waheed, M., Jabeen, A., Hussain, M., Najar, Z. H., Alhimaidi, A. R., Amran, R. A., Bussmann, R. W. (2024). Geospatial assessment of climate and human pressure on Snow Leopard habitat in the Trans-Himalayan region of Pakistan. Global Ecology and Conservation, 53(e03024), 1–15.
Abstract: Reliable estimates of how human activities may affect wildlife populations are critical for making
scientifically sound resource management decisions. A significant issue in estimating the consequences
of management, development, or conservation measures is the need to account for a
variety of biotic and abiotic factors, such as land use and climate change, that interact over time
altering wildlife habitats and populations. The snow leopard Panthera uncia (Schreber, 1775), as a
vulnerable species, is extremely sensitive to indirect impacts of climate change. Given that it is
highly difficult undertaking conservation measures on the entire range of snow leopards, identifying
hotspots for conservation is necessary. This study was conducted in Bagrot and Haramosh
valleys, in the Trans-Himalayan region, to evaluate the impacts of climate and human pressure on
snow leopard habitat. Hybrid classification of Landsat satellite data for 2010 and 2020 was
performed to elucidate land use changes that suggested a decrease in permanent snow by 10 %
and 3 % in Haramosh and Bagrot while an increase in settlements cover by 16 % and 23 %,
respectively. Life zone comparison for 2010 and 2020 using the Holdridge life zone (HLZ) classification
system disclosed a change from three life zones to five life zones in Haramosh, and four
life zones to five life zones in Bagrot, caused by a temperature increase of 2◦C to 3◦C, indicating
that the area is becoming more and more suitable for settlements and less favorable for snow
leopards. This study underlines again that mountainous regions are more vulnerable to the impacts
of climate change. Warming weather is making survival more difficult for snow leopards.
Although they are resilient to the direct effects of climate change, indirect impacts like avalanches,
flash floods, urbanization, and human-wildlife conflict make them more vulnerable and
threaten their survival. Thus, we recommend establishing further protected areas, better controlling
illegal wildlife trade, and conducting genetic studies to understand impacts on snow
leopards and rangeland management, livelihood improvement, and human-wildlife conflict
reductions.
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Johnson, W. E., Eizirik, E., Pecon-Slattery, J., Murphy, W. J., Antunes, A., Teeling, E., et al. (2006). The Late Miocene Radiation of Modern Felidae: A Genetic Assessment (Vol. 311).
Abstract: Modern felid species descend from relatively recent (G11 million years ago) divergence and speciation events that produced successful predatory carnivores worldwide but that have confounded taxonomic classifications. A highly resolved molecular phylogeny with divergence dates for all living cat species, derived from autosomal, X-linked, Y-linked, and mitochondrial gene segments (22,789 base pairs) and 16 fossil calibrations define eight principal lineages produced through at least 10 intercontinental migrations facilitated by sea-level fluctuations. A ghost lineage analysis indicates that available felid fossils underestimate (i.e., unrepresented basal branch length) first occurrence by an average of 76%, revealing a low representation of felid lineages in paleontological remains. The phylogenetic performance of distinct gene classes showed that Y-chromosome segments are appreciably more informative than mitochondrial DNA, X-linked, or autosomal genes in resolving the rapid Felidae species radiation.
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Thorel, M. F., Karoui, C., Varnerot, A., Fleury, C., & Vincent, V. (1998). Isolation of Mycobacterium bovis from baboons, leopards and a sea-lion. Vet Res, 29(2), 207–212.
Abstract: This study reports on two series of cases of Mycobacterium bovis infection in zoo animals. The first was in a captive population of baboons (Papio hamadryas) and the second in a mixed group of wild mammals, including four leopards (Panthera uncia and Panthera pardus) and a sea-lion (Otaria byrona). The isolation and identification of strains of M. bovis confirmed the presence of M. bovis infections in both zoos. The epidemiological study using genetic markers such as the IS6110-based DNA fingerprinting system made it possible to differentiate between M. bovis strains. The M. bovis strains isolated from baboons were shown to contain a single IS6110 copy, as usually do cattle isolates, whereas the M. bovis strains isolated from the other exotic animals presented multiple copies. This finding suggests that the origin of the contamination for the baboons in zoo A could be related to cattle. The origin of the contamination for the leopards and sea-lion in zoo B is more difficult to determine. In conclusion, the authors suggest some recommendations for avoiding outbreaks of tuberculosis infections in zoos.
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Warren E.Johnson, E. E. (2006). The Late Miocene Radiation of Modern Felidae: A Genetic Assessment (Stephen J.O'Brien Emma Teeling Agostinho Antunes W. J. M. Jill Pecon-Slattery, Ed.) (Vol. 311). Washington D.C.
Abstract: Modern felid species descend from relatively recent (<11 million years ago) divergence and
speciation events that produced successful predatory carnivores worldwide but that have
confounded taxonomic classifications. A highly resolved molecular phylogeny with divergence dates
for all living cat species, derived from autosomal, X-linked, Y-linked, and mitochondrial gene
segments (22,789 base pairs) and 16 fossil calibrations define eight principal lineages produced
through at least 10 intercontinental migrations facilitated by sea-level fluctuations. A ghost lineage
analysis indicates that available felid fossils underestimate (i.e., unrepresented basal branch
length) first occurrence by an average of 76%, revealing a low representation of felid lineages
in paleontological remains. The phylogenetic performance of distinct gene classes showed that
Y-chromosome segments are appreciably more informative than mitochondrial DNA, X-linked,
or autosomal genes in resolving the rapid Felidae species radiation.
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