The use of remote camera traps has accelerated rapidly in the field of large carnivore science since the 1990s. Members of the Hyaenidae are important components of functional ecosystems in Africa and parts of the Middle East and South Asia, and make good candidates for study using camera traps. However, camera trap studies of hyenas remain rare in the literature when compared to species like tigers Panthera tigris, leopards Panthera pardus, and snow leopards Panthera uncia. In this paper, we examine the published use of camera traps for hyenas (n = 34 studies implemented between 2007 and 2020) and examine the logistical challenges of using camera traps, such as individual identification, limited sexual dimorphism, and complex social structures, for studies of hyena population biology, behavioral ecology, and conservation. We highlight what these challenges may mean for data analyses and interpretation. We also suggest potential benefits of further camera trap studies of this taxonomic family, including new insights into social behavior, range extensions, and robust density estimates.

Robust measures of animal densities are necessary for effective wildlife management. Leopards (Panthera pardus) and spotted hyenas (Crocuta Crocuta) are higher order predators that are data deficient across much of their East African range and in Uganda, excepting for one peer-reviewed study on hyenas, there are presently no credible population estimates for these species. A lack of information on the population status and even baseline densities of these species has ramifications as leopards are drawcards for the photo-tourism industry, and along with hyenas are often responsible for livestock depredations from pastoralist communities. Leopards are also sometimes hunted for sport. Establishing baseline density estimates for these species is urgently needed not only for population monitoring purposes, but in the design of sustainable management offtakes, and in assessing certain conservation interventions like financial compensation for livestock depredation. Accordingly, we ran a single-season survey of these carnivores in the Lake Mburo National Park of south-western Uganda using 60 remote camera traps distributed in a paired format at 30 locations. We analysed hyena and leopard detections under a Bayesian spatially explicit capture-recapture (SECR) modelling framework to estimate their densities. This small national park (370 km2) is surrounded by Bahima pastoralist communities with high densities of cattle on the park edge (with regular park incursions). Leopard densities were estimated at 6.31 individuals/100 km2 (posterior SD = 1.47, 95% CI [3.75–9.20]), and spotted hyena densities were 10.99 individuals/100 km2, but with wide confidence intervals (posterior SD = 3.35, 95% CI [5.63–17.37]). Leopard and spotted hyena abundance within the boundaries of the national park were 24.87 (posterior SD 7.78) and 39.07 individuals (posterior = SD 13.51) respectively. Leopard densities were on the middle end of SECR studies published in the peer-reviewed literature over the last 5 years while spotted hyena densities were some of the first reported in the literature using SECR, and similar to a study in Botswana which reported 11.80 spotted hyenas/100 km2. Densities were not noticeably lower at the park edge, and in the southwest of our study site, despite repeated cattle incursions into these areas. We postulate that the relatively high densities of both species in the region could be owed to impala Aepyceros melampus densities ranging from 16.6–25.6 impala/km2. Another, potential explanatory variable (albeit a speculative one) is the absence of interspecific competition from African lions (Panthera leo), which became functionally extinct (there is only one male lion present) in the park nearly two decades ago. This study provides the first robust population estimate of these species anywhere in Uganda and suggests leopards and spotted hyenas continue to persist in the highly modified landscape of Lake Mburo National Park.

In Sri Lanka, the family Rhacophoridae consists of 72 species and 67 of them belong to the genus Pseudophilautus (Laurent) (Meegaskumbura et al. 2010; Meegaskumbura & Manamendra-Arachchi 2011; Meegaskumbura & Manamendra-Arachchi 2005). Pseudophilautus popularis (Manamendra-Arachchi & Pethiyagoda 2005) is a small frog where males would attain snout-vent-lengths between 17.7–21.3 mm and gravid females attaining lengths around 23.0–25.6 mm. It is found in elevations approximately up to 1070 m above sea level (asl). It is a widely distributed species found in many localities within the wet zone. As the name suggests, it is commonly encountered near anthropogenic habitats and forest edges (Manamendra-Arachchi & Pethiyagoda 2005, Karunarathna & Amarasinghe 2010). Pseudophilautus popularis perches on low vegetation, generally on shrubs 0.2–1.5 m above the ground. Here, I describe the complex advertisement call of P. popularis.

In 2017, Sri Lanka set a goal to increase its forest cover to 32% by 2030 (Sri Lanka UN-REDD, 2017). However, on November 4th 2020, the government published circular MWFC/1/2020 revoking the circular 5/2001 of August 10th 2001, one of the country's most crucial forest protection directives. The revocation of the 5/2001 circular could severely hamper this target, posing a threat of deforestation to a variety of ecosystems which are not part of any formally designated protected areas (PA) in Sri Lanka, also known as Other StateForests. This includes forested areas adjoining PAs which are crucial for habitat connectivity and standalone state forest lands. Such a retrograde step could have potentially catastrophic ramifications on Sri Lanka's declining forest cover. It would also severely weaken the country's commitments to inter alia, the UNREDD Programme, Kyoto protocol and CBD. We therefore call on the Government of Sri Lanka to urgently reconsider and reverse this decision.

Large felids represent some of the most threatened large mammals on Earth, critical for both tourism economies and ecosystem function. Most populations are in a state of decline, and their monitoring and enumeration is therefore critical for conservation. This typically rests on the accurate identification of individuals within their populations. We review the most common and current survey methods used in individual identification studies of large felid ecology (body mass > 25 kg). Remote camera trap photography is the most extensively used method to identify leopards, snow leopards, jaguars, tigers, and cheetahs which feature conspicuous and easily identifiable coat patterning. Direct photographic surveys and genetic sampling are commonly used for species that do not feature easily identifiable coat patterning such as lions. We also discuss the accompanying challenges encountered in several field studies, best practices that can help increase the precision and accuracy of identification and provide generalised ratings for the common survey methods used for individual identification.