We present the first assessments of the population, distribution and conservation status of the recently described kipunji Rungwecebus kipunji in forests in the Southern Highlands and Udzungwa Mountains of southern Tanzania. Surveys totalling 2,864 hours and covering 3,456 km of transects were undertaken to determine distribution and group numbers, following which 772 hours of simultaneous multi-group observations in Rungwe-Kitulo and Ndundulu forests, in the Southern Highlands and Udzungwa Mountains respectively, enabled 209 total counts to be carried out. We estimate there are c. 1,042 individuals in Rungwe-Kitulo, with 25À39 individuals per group (mean 30.65 -SE 0.62, n 5 34), and 75 individuals, with 15-25 per group (mean 18.75 -SE 2.39, n 5 4) in Ndundulu. We estimate a total kipunji population of 1,117 in 38 groups, with 15-39 per group (mean 29.39 -SE 0.85, n 5 38). The Ndundulu population may no longer be viable and the Rungwe-Kitulo population is highly fragmented, with isolated sub-populations in degraded habitat. We recorded areas of occupancy of 1,079 and 199 ha in Rungwe-Kitulo and Ndundulu, respectively, giving a total of 1,278 ha. We estimate the species' extent of occurrence to be 1,769 ha, with 1,241 and 528 ha in Rungwe-Kitulo and Ndundulu, respectively. We believe the kipunji faces an extremely high risk of extinction in the wild and recommend the species and genus be categorized as Critically Endangered on the IUCN Red List.
Understanding how threatened forest primates use a heterogeneous landscape is essential to ensuring their survival. Kipunji (Rungwecebus kipunji) are ‘critically endangered’, arboreal monkeys restricted to two sites in Tanzania. Over 90% of the population lives in the degraded Rungwe‐Kitulo forests of the Southern Highlands. In this study, we present the first comprehensive investigation into daily path length and home range size of kipunji, based on data from four groups followed simultaneously over 70 consecutive days on Mt. Rungwe. The mean daily distance travelled was 1293 m (SE 150.82), and daily distance was not significantly correlated to group size. Using fixed kernel density estimation, an area enclosing 90% of the home range calculated using the ‘reference’ method as a smoothing parameter, measured a mean of 306.18 ha (SE 67), and the core area (50% use) was 86.55 ha (SE 18.73). Using the ‘least‐squares cross validation’ method, the mean home range and core area were 205.45 ha (SE 57.02) and 55.45 ha (SE 14.23) respectively. Home range overlap was extensive, although contact between groups was rare, with >97.30% of all observations within 20 min separated by >250 m. The data strongly suggest that kipunji are not territorial.
Background: 'Traffic light' (red-yellow-green) maps are potentially powerful tools for 'at a glance' problem detection, for optimising resource allocation/reallocation, setting priorities, and targeting interventions to areas most in need. The maps can be also used for administrative area comparisons and performance monitoring over time. Interactive Web versions of the maps can be generated with many handy features to further empower organisations and decision makers. Methodological issues to consider when creating 'traffic light' maps include hue thresholding, data timeliness and stability of administrative boundaries.
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.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.