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Understanding of animal responses to dynamic resource landscapes is based largely on research on temperate species with small body sizes and fast life histories. We studied a large, tropical mammal with an extremely slow life history, the Western Bornean orangutan (Pongo pygmaeus wurmbii), across a heterogeneous natural landscape encompassing seven distinct forest types. Our goals were to characterize fluctuations in abundance, test hypotheses regarding the relationship between dispersion dynamics and resource availability, and evaluate how movement patterns are influenced by abiotic conditions. We surveyed abundance in Gunung Palung National Park, West Kalimantan, Indonesia, for 99 consecutive months and simultaneously recorded weather data and assessed fruit availability. We developed a Bayesian hierarchical distance sampling model to estimate population dispersion and assess the roles of fruit availability, rainfall, and temperature in driving movement patterns across this heterogeneous landscape. Orangutan abundance varied dramatically over space and time. Each forest type was important in sustaining more than 40% of the total orangutans on site during at least one month, as animals moved to track asynchronies in fruiting phenology. We conclude that landscape-level movements buffer orangutans against fruit scarcity, peat swamps are crucial fallback habitats, and orangutans’ use of high elevation forests is strongly dependent on abiotic conditions. Our results show that orangutans can periodically occupy putative-sink habitats and be virtually absent for extended periods from habitats that are vitally important in sustaining their population, highlighting the need for long-term studies and potential risks in interpreting occurrence or abundance measures as indicators of habitat importance.

Vegetation structure has emerged as a key determinant of terrestrial biodiversity based on studies using randomly placed sampling grids. The resultant grid cells often contain substantial heterogeneity in ecological conditions that are highly relevant for the taxa of interest, potentially undermining our ability to detect relevant drivers of diversity. Here we use 12 structural metrics measured using a ground-based light detection and ranging (lidar) scanner to model mammalian diversity at 58 sampling locations across seven distinct tropical forest types in Indonesian Borneo. We conducted analyses at four spatial scales using over five years of camera trap data. Models predicting mammal diversity based on ecologically defined scales (i.e., forest type boundaries) outperformed models using a grid scale of comparable resolution. Our results highlight the importance of incorporating ecologically meaningful spatial scales in biodiversity studies and underscore the value of lidar in capturing forest structural metrics relevant to mammals. Ecologically informed spatial units improve predictions of mammal diversity in tropical forests by better capturing variation in forest structure, revealing scale-dependent relationships between terrestrial LiDAR-derived metrics and community diversity that are obscured by grid-based approaches.

Intraspecific communication is integral to the behavioural ecology of solitary carnivores, but observing and quantifying their communication behaviours in natural environments is difficult. Our systematic literature review found that basic information on scent marking is completely lacking for 23% of all felid species, and information on 21% of other felid species comes solely from one study of captive animals. Here we present results of the first systematic investigation of the scent marking behaviours of Sunda clouded leopards in the wild. Our observations using motion-triggered video cameras in Indonesian Borneo are novel for clouded leopards, and contrary to previous descriptions of their behaviour. We found that clouded leopards displayed 10 distinct communication behaviours, with olfaction, scraping, and cheek rubbing the most frequently recorded. We also showed that males make repeated visits to areas they previously used for marking and that multiple males advertise and receive information at the same sites, potentially enhancing our ability to document and monitor clouded leopard populations. The behaviours we recorded are remarkably similar to those described in other solitary felids, despite tremendous variation in the environments they inhabit, and close a key gap in understanding and interpreting communication behaviours of clouded leopards and other solitary felids.

Tropical forests occupy small coral atolls to the vast Amazon basin. They occur across bioregions with different geological and climatic history. Differences in area and bioregional history shape species immigration, extinction and diversification. How this effects local diversity is unclear. The Indonesian archipelago hosts thousands of tree species whose coexistence should depend upon these factors. Using a novel dataset of 215 Indonesian forest plots, across fifteen islands ranging in area from 120 to 785 000 km2, we apply Gaussian mixed effects models to examine the simultaneous effects of environment, earthquake proximity, island area and bioregion upon tree diversity for trees ≥ 10 cm diameter at breast height. We find that tree diversity declines with precipitation seasonality and increases with island area. Accounting for the effects of environment and island area we show that the westernmost bioregion Sunda has greater local diversity than Wallacea, which in turn has greater local diversity than easternmost Sahul. However, when the model includes geological activity (here proximity to major earthquakes), bioregion differences are reduced. Overall, results indicate that multi‐scale, current and historic effects dictate tree diversity. These multi‐scale drivers should not be ignored when studying biodiversity gradients and their impacts upon ecosystem function.

To effectively support new rural CBTs and create development plans, it is necessary to have a broad understanding of rural CBT in developing countries. This study uses Indonesia as a case study to map and analyze patterns in earlier research in order to establish a conceptual framework. The study used a qualitative content analysis methodology to find important themes and trends in Indonesia's rural CBT development by examining journal papers indexed by Scopus that were referenced by other researchers. By charting these academic works, the researchers were able to get a wider view and identify potential problems in the sector. The analysis identified five interconnected dimensions - spatial aspects, local attractions, rural capacity, economic viability, and socio-cultural components - that form the foundation of rural CBT. These dimensions are critical in building a comprehensive framework that guides development planning, stakeholder collaboration, and longterm sustainability. Findings emphasize the importance of aligning rural CBT development with the principles of the circular economy, which promote environmental stewardship, community empowerment, and sustainable resource management. The study also highlights how preserving social capital, fostering inclusiveness, and enhancing local welfare are long -term goals achievable through strategic mapping, capacity building, and equitable profit distribution. The study also emphasizes how important social media and digital platforms are in influencing public perceptions and interest in rural tourism, which has aided in the quick ascent of rural CBT organizations throughout Indonesia. It becomes clear that community involvement and government assistance are essential to turning rural regions into sustainable travel destinations. Nonetheless, it is necess ary to address enduring issues including environmental degradation, human resource problems, and infrastructure constraints. Ultimately, the study offers a rural CBT framework that can assist policymakers, tourism planners, and local stakeholders in making context-sensitive decisions. By integrating socio-spatial understanding, participatory planning, and capacity-focused strategies, stakeholders can create more resilient, inclusive, and sustainable tourism systems. This framework not only supports local livelihoods but also aligns with global Sustainable Development Goals (SDGs), offering a replicable model for other developing countries seeking to implement rural CBT initiatives effectively.