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Based on examination of molecular data and pelage patterns, it has recently been suggested that the island populations of the clouded leopard, traditionally considered a subspecies, may, in fact constitute a separate species. In this paper, I demonstrate that the island populations deviate strongly from the mainland populations in a large number of cranial, mandibular, and dental characters. The differences far exceed those that have been documented for subspecies within other pantherine felids, and are congruent with a separate species, to which the name Sundaland clouded leopard, Neofelis diardi, has been given, although the name Diard's cat has priority based on historical precedence. I suggest that the vernacular name Diard's clouded leopard be adopted for Neofelis diardi. In contrast, mainland populations diverge less from each other, and are congruent with 1 species (Neofelis nebulosa) and 2 subspecies, the western (N. n. macrosceloides) and eastern (N. n. nebulosa) clouded leopard. Neofelis deviates from other large felids in many aspects of craniodental morphology, and most likely also in several behavioral aspects. Diard's clouded leopard appears more derived with respects to saber-toothed craniodental features than the clouded leopard, indicating that the former may have gone farther than the latter in convergently evolving craniomandibular features traditionally considered characteristic of primitive saber-toothed felids.

Aim Deforestation is rapidly altering Southeast Asian landscapes, resulting in some of the highest rates of habitat loss worldwide. Among the many species facing declines in this region, clouded leopards rank notably for their ambassadorial potential and capacity to act as powerful levers for broader forest conservation programmes. Thus, identifying core habitat and conservation opportunities are critical for curbing further Neofelis declines and extending umbrella protection for diverse forest biota similarly threatened by widespread habitat loss. Furthermore, a recent comprehensive habitat assessment of Sunda clouded leopards (N. diardi) highlights the lack of such information for the mainland species (N. nebulosa) and facilitates a comparative assessment. Location Southeast Asia. Methods Species–habitat relationships are scale‐dependent, yet <5% of all recent habitat modelling papers apply robust approaches to optimize multivariate scale relationships. Using one of the largest camera trap datasets ever collected, we developed scale‐optimized species distribution models for two con‐generic carnivores, and quantitatively compared their habitat niches. Results We identified core habitat, connectivity corridors, and ranked remaining habitat patches for conservation prioritization. Closed‐canopy forest was the strongest predictor, with ~25% lower Neofelis detections when forest cover declined from 100 to 65%. A strong, positive association with increasing precipitation suggests ongoing climate change as a growing threat along drier edges of the species’ range. While deforestation and land use conversion were deleterious for both species, N. nebulosa was uniquely associated with shrublands and grasslands. We identified 800 km2 as a minimum patch size for supporting clouded leopard conservation. Main conclusions We illustrate the utility of multi‐scale modelling for identifying key habitat requirements, optimal scales of use and critical targets for guiding conservation prioritization. Curbing deforestation and development within remaining core habitat and dispersal corridors, particularly in Myanmar, Laos and Malaysia, is critical for supporting evolutionary potential of clouded leopards and conservation of associated forest biodiversity.

Clouded leopards are one of the least known of larger felids and were believed to be extinct in Nepal until 1987. They are particularly interesting because their Asian range spans a diversity of habitats in the fastest disappearing forests in the world and encompasses a guild which differs in composition from place to place. As a part of a wider camera-trapping study of this guild, involving 2948 camera traps at 45 sites in nine countries, and paralleling a similar study of the Sunda clouded leopard including a further 1544 camera traps spanning 22 sites distributed across two countries, we deployed 84 pairs of camera traps for 107 days in 2014 and 2015 at Langtang National Park, Nepal between 1823 and 3824 m a.s.l. within a grid encompassing c. 120 km2. We documented the presence of clouded leopards for the first time at an altitude as high as 3498 m a.s.l. Naïve occupancy for clouded leopard was 8.6% (correcting for detection, 10.1%). Clouded leopards were least active in the middle of the day, and largely crepuscular and nocturnal, as were the common leopards and leopard cats. The peak of clouded leopard activity overlapped with that of musk deer. Prey species for both clouded leopard and common leopard were available across the elevation range studied although the availability of some prey species declined as elevation increased, whereas Himalayan serow, Himalayan goral, and musk deer showed no association with elevation. Before this study, there was no hard evidence that clouded leopards occurred above 2300 m a.s.l., having documented them at almost 4000 m a.s.l. in the Himalayas, we emphasise the importance of this extreme portion of the species’ range where climate is likely to change more rapidly and with greater consequences, than the global average. The discovery of clouded leopards in Langtang National Park considerably extends their known range, and raises the possibility that they occur from the Terai in southern Nepal up to the Nepal-Tibet (China) border in the north. Insofar as this study has extended the known extreme boundary of the clouded leopard’s geographic range to encompass Langtang National Park in the Nepali Himalayas.

The rapidly declining tropical forests of Asia support a diversity of felid species, many of which are rare and little known. We used camera traps in Dampa Tiger Reserve (TR), Mizoram, northeastern India, to estimate population density and describe activity patterns of 2 rare felids, the clouded leopard (Neofelis nebulosa) and marbled cat (Pardofelis marmorata). With a survey effort of 4,962 trap nights, we obtained 84 photo-captures of clouded leopards and 36 of marbled cats. We used spatially explicit capture-recapture methods to estimate population densities of both species. Using the Bayesian approach implemented in SPACECAP, we derived estimates of 5.14 (± 1.80 SD)/100 km2 for clouded leopards and 5.03 (± 2.07 SD)/100 km2 for marbled cats. Using cameratrap images, we compared diel activity patterns and activity overlaps for these 2 rare felids, together with 3 other sympatric carnivores, by estimating a coefficient of overlap between species. Among felids, clouded leopards and golden cats (Catopuma temminckii) displayed the highest overlap in activity, whereas marbled cats and leopard cats (Prionailurus bengalensis) showed the lowest, with marbled cats being primarily diurnal and leopard cats nocturnal. Our study provides the first density estimates from continental Southeast Asia for marbled cats and one of the highest recorded densities for clouded leopards. These results are of special significance since Dampa sustains an ecosystem that has in recent times undergone near extirpation of large predators.

Context The efficient and effective design of protected areas is a fundamental challenge in landscape ecology, focusing on how spatial patterns of habitat influence conservation outcomes. This has sparked debate about the relative importance of habitat area versus connectivity in maintaining populations across fragmented landscapes. Objectives We evaluate the relative importance of habitat area and connectivity by comparing counterfactual scenarios for landscape configuration on Borneo. We examine how habitat area and connectivity influence Sunda clouded leopard population size and genetic diversity across scenarios and dispersal abilities. Methods We compared 28 landscape scenarios on Borneo, incorporating combinations of core areas and movement corridors. We modelled population size and genetic diversity across five dispersal thresholds, using spatially explicit genetic simulations, to assess how area and connectivity influence conservation outcomes. Results Our analysis reveals a strong, disproportionate relationship between habitat area and population size and genetic diversity. Even when controlling for overall extent, landscapes that protect larger areas consistently provide superior conservation outcomes. Corridors showed minimal impact, becoming effective only at the highest dispersal thresholds. Habitat area emerged as the primary driver of conservation success, challenging assumptions about the importance of connectivity and highlighting the complex interactions between landscape configuration and species mobility. Conclusions Our findings reinforce the fundamental importance of habitat area for biodiversity conservation, while suggesting that conservation initiatives based on connectivity may have limitations, particularly when corridors are relatively long and narrow, or exceed species’ dispersal abilities. While connectivity remains a valuable conservation tool in fragmented landscapes, our results indicate that expanding core habitat areas should be the primary focus, with corridor investments strategically targeted to specific cases.

The illegal wildlife markets of Southeast Asia are bolstered by organised criminal networks and the region’s rich density of charismatic wildlife. Forensic tools identifying species and their origins are vital to combat wildlife crime. However, many require expensive technology and skilled personnel, limiting their use in rural trade hotspots. This study introduces a replicable statistical framework, using skull morphometrics, to distinguish related species with simple measurements. We developed a web-based classifier trained on clouded leopard ( Neofelis spp.) skulls from museum collections across Europe, Asia and the U.S.A., a genus often targeted in wildlife trade. Our categorical predictive model, based on two key metrics, the fronto-nasal “pit” and m1 talonid morphology achieved 97% accuracy ( p  < 0.005). A continuous predictor model, using postorbital width, achieved 80.6% accuracy for males and 85.6% for females (both p  < 0.05). These models were encoded into a free, user-friendly web app, enabling practitioners in remote areas to distinguish these two species easily. This tool not only supports anti-trafficking efforts but also enables museum curators to correctly assign provenance to clouded leopard skulls with uncertain origins.

Data from camera traps that record the time of day at which photographs are taken are used widely to study daily activity patterns of photographed species. It is often of interest to compare activity patterns, for example, between males and females of a species or between a predator and a prey species. In this article we propose that the similarity between two activity patterns may be quantified by a measure of the extent to which the patterns overlap. Several methods of estimating this overlap measure are described and their comparative performance for activity data is investigated in a simulation study. The methods are illustrated by comparing activity patterns of three sympatric felid species using data from camera traps in Kerinci Seblat National Park, Sumatra.

ContextMaintaining landscape connectivity for large felids by preserving and restoring corridors between core habitats is crucial to their long-term conservation. Tiger, leopard, and clouded leopard populations occur in isolated habitat patches across the Dawna-Tanintharyi Landscape (DTL) of Kawthoolei (all Karen National Union administrative areas in Myanmar) and Thailand.ObjectivesWe analyzed connectivity among 18 habitat patches in this transboundary region based on large felid presence and expert opinion of large felid dispersal requirements.MethodsLeast-cost corridor and circuit theory analyses were used to identify corridors, determine corridor quality and their relative importance to connectivity in the landscape, and pinpoint bottlenecks to movement.ResultsForty-eight corridors were identified. Lower resistances to dispersal were in forested montane areas. High-quality corridors remained in the northern DTL and south of Tanintharyi Nature Reserve in Kawthoolei based on cost-weighted distance to least-cost path ratio. Pairwise current pinch point analyses revealed a possible landscape level bottleneck to movement north of Thailand’s Western Forest Complex. Area corrected centrality scores indicated smaller habitat patches disproportionately contributed to landscape connectivity.ConclusionsThe DTL may retain connectivity across the landscape if conservation actions are taken to protect integral habitats and corridors. Conservation efforts that expand the protected area network in Kawthoolei, either by increasing the size of current protected area habitats or by demarcating new protected areas in regions with confirmed felid presence, will aid DTL connectivity. The DTL should be managed to preserve connectivity on both sides of the border, entailing international governmental, indigenous community, and non-governmental collaboration.

Hunting, habitat loss and fragmentation have caused a rapid decline in the distribution and abundance of the clouded leopard Neofelis nebulosa across its range, and in several areas, including Taiwan, the species is now extirpated. Taiwan, a former stronghold for the species, is a candidate for its reintroduction, based on increasing prey abundance and high forest coverage. Such future reintroduction efforts, however, are hampered by a lack of analysis of potential clouded leopard habitat on the island. To address this, we explore habitat suitability for the species in Taiwan. We used a multi-scale, multivariate habitat selection model based on clouded leopard presence–absence data from extensive camera-trap surveys across its current range to predict suitable habitat in Taiwan. Our findings indicate that 38% of Taiwanese territory is potentially suitable habitat for the clouded leopard, of which 46% is under protection. This demonstrates the high potential of Taiwan's habitat for clouded leopard reintroduction.

Saudi Arabia generates more than 98% of its electricity through hydrocarbon resources. To reduce the consumption of fossil fuel resources and protect the environment, the government of Saudi Arabia is planning to make renewable energy an essential part of its energy mix. In this study, due to the country’s abundant solar potential, solar energy has been selected as the energy source to generate renewable energy in Saudi Arabia. The two solar energy technologies, photovoltaic (PV) and solar thermal, have been analyzed in three different locations within the country. Multi-criteria decision-making (MCDM) techniques were used to rank the cities for each of the technologies. The SAW(Simple Additive Weighting)-AHP(Analytic Hierarchy Process) MCDM method based on climate, environmental, technical, economic, and social has been adopted to analyze the suitability of each technology for all locations. To assign weights to the criteria AHP method was used, while to rank the technologies, SAW was used. The results show that for the PV technology, Abha ranked 1st with a performance score of 91%, making it the most suitable location, followed by Jeddah with 83%. While for solar thermal technologies, Jeddah is the most suitable location, with a performance score of 96%, followed by Abha with 91%. The PV systems generated a maximum of 11,019 MWh in Abha, while the solar thermal produced maximum of 14,000 MWh in Jeddah. Overall, solar thermal technology outperformed PV technology in Saudi Arabia due to the country’s higher temperature. The analysis of photovoltaic and solar thermal technologies in this study provides valuable insight for the government of Saudi Arabia in identifying the best site for solar energy technologies in the country.