Wildlife trade can present a major threat to primate populations. In Vietnam, slow lorises (genus Nycticebus) are subject to local, regional and international demand for diverse uses including as medicine, as meat and for pets. Ethnographic approaches explore the nuances of human-primate interactions in complex sociocultural contexts. We combined ethnographic interviews of key informants with information from questionnaires, focus groups and a movie broadcast on Vietnamese television to explore diverse knowledge and values related to slow lorises and their use in trade in Vietnam. We infer prices, uses and networks for expanding targeted regional and international markets as compared to the opportunistic local one. We highlight key findings related to gendered knowledge about slow lorises and more-than-human ontologies of slow lorises as active participants in human-slow loris interactions. We suggest that conservation efforts should pay attention to the clarification of vernacular names, and use names that highlight ecological or behavioural qualities of slow lorises, rather than other names that could be confused with medicinal remedies. Our results confirm the dynamic complexity of trade in Vietnam, highlighting the importance of ethnographic methods to explore diverse knowledge and values for place-based or site-appropriate conservation management of primates and other highly traded taxa.
Wildlife trade presents a major threat to primate populations, which are in demand from local to international scales for a variety of uses from food and traditional medicine to the exotic pet trade. We argue that an interdisciplinary framework to facilitate integration of socioeconomic, anthropological, and biological data across multiple spatial and temporal scales is essential to guide the study of wildlife trade dynamics and its impacts on primate populations. Here, we present a new way to design research on wildlife trade in primates using a systems thinking framework. We discuss how we constructed our framework, which follows a social-ecological system framework, to design an ongoing study of local, regional, and international slow loris (Nycticebus spp.) trade in Vietnam. We outline the process of iterative variable exploration and selection via this framework to inform study design. Our framework, guided by systems thinking, enables recognition of complexity in study design, from which the results can inform more holistic, site-appropriate, and effective trade management practices. We place our framework in the context of other approaches to studying wildlife trade and discuss options to address foreseeable challenges to implementing this new framework.
Ecological niche models (ENMs) can project changes in species' distributions under climate change and thus inform conservation efforts and further our understanding of patterns of change.Predictions of species' distribution shifts under climate change in topographically and geologically complex landscapes, such as karst landforms, should be improved by better integration of non-climate abiotic variables, such as karst geology or habitat structure, into model projections. We built ENMs for one of the limestone langurs, a group of leaf monkeys adapted to forests on the Sino-Vietnamese limestone karst landform. We collected occurrence localities for François' leaf monkeys (Trachypithecus francoisi) and thinned them to avoid sampling bias. We included as environmental parameters a global dataset for karst geology and 19 bioclimatic variables derived from monthly temperature and precipitation at 30 arc-second resolution. ENMs including karst geology and climatic variables outperformed and differed spatially from climateonly models. Across six future-climate scenario projections, the optimal karst+climate model differed from the best climate-only model and predicted more spatial overlap with karst in the future, a contraction in total area of suitable habitat by the 2070s, and a small loss in the amount Highlights• Climate change may result in shifts in species' distributions, leading to changes in biological communities and increasing the likelihood of local and global extinctions.• High endemic biodiversity coincides with known and unknown biogeomorphological feedbacks and interactions in topographically and geologically complex landscapes like karst landforms, which can complicate predictions of species' distribution shifts under climate change.• We built and projected distribution models for Trachypithecus francoisi, a leaf monkey adapted to forests on the Sino-Vietnamese limestone karst landform, to show that models combining karst geology and climate as drivers outperformed models built only with climate data, with differing projections for distribution shifts under future climate change.• Including karst geology or other non-climate abiotic variables that approximate microclimate heterogeneity will be important for distribution shift predictions for other species in karst landforms and other complex landscapes.• Urgent, cross-border collaborations are likely needed for the conservation of the endangered biodiversity of the Sino-Vietnamese Karst Landform in the face of climate change.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.