3 research outputs found
Estimating the population size of the Sanje mangabey (Cercocebus sanjei) using acoustic distance sampling
The Sanje mangabey (Cercocebus sanjei) is endemic to the Udzungwa Mountains, Tanzania, and is classified as Endangered due to its putatively declining population size, habitat degradation and fragmentation. Previous population size estimates have ranged from 1,350 to 3,500 individuals, with the last direct survey being conducted 15 years before the present study. Previous estimates are now thought to have underestimated the population due to a limited knowledge of group and habitat size, nonsystematic approaches and the use of visual methods that are not suitable for surveying the Sanje mangabey with its semiâterrestrial and elusive behaviors. We used an acoustic survey method with observers recording the distinctive âwhoopâgobbleâ vocalization produced by mangabeys and point transect distance sampling to model a detection function and estimate abundance. Twentyâeight surveys were conducted throughout the two forests where Sanje mangabeys are found: Mwanihana forest in the Udzungwa Mountains National Park (nâ=â13), and the Uzungwa Scarp Nature Reserve (nâ=â15). Group density was found to be significantly lower in the relatively unprotected Uzungwa Scarp forest (0.15 groups/km2; 95% CI: 0.08â0.27) compared to the wellâprotected Mwanihana forest (0.29 groups/km2; 95% CI: 0.19â0.43; pâ=â.03). We estimate that there are 1,712 (95% CI: 1,141â2,567) individuals in Mwanihana and 1,455 (95% CI: 783â2,702) in the Uzungwa Scarp, resulting in a total population size of 3,167 (95% CI: 2,181â4,596) individuals. The difference in group density between sites is likely a result of the differing protection status and levels of enforcement between the forests, suggesting that protection of the Uzungwa Scarp should be increased to encourage recovery of the population, and reduce the threat of degradation and hunting. Our results contribute to the reassessment of the species' IUCN Red List status and informing management and conservation action planning
Calibrating occupancy to density estimations to assess abundance and vulnerability of a threatened primate in Tanzania
The current decline of mammals worldwide makes quantitative population assessments crucial, especially for rangeârestricted and threatened species. However, robust abundance estimations are challenging for elusive or otherwise difficult to detect species. Alternative metrics requiring only presence/absence data, that is, occupancy, are possible but calibration with independent density estimates should be foreseen, although rarely performed. Here, we calibrated density estimates from acoustic surveys to occupancy estimates from cameraâtrapping detections to derive the abundance of the endangered Sanje mangabey (Cercocebus sanjei) across its entire range in the Udzungwa Mountains of Tanzania. We found marked occupancyâdensity relationships for the two forest blocks where this primate occurs and used them to derive spatially explicit density estimates. Occupancy increased in montane forest zones at midâelevation but decreased slightly with proximity to forest borders. We predicted an average density (±SE) of 0.26 ± 0.05 groups/km2 in the national park and 0.24 ± 0.06 in the nature reserve. Accordingly, and given the much larger area of the reserve, the average predicted individual abundance was 1555 ± 325 and 2471 ± 571 in the national park and nature reserve, respectively. We found higher density and abundance in the nature reserve compared with previous studies. Given the past disturbance and poorer protection in the nature reserve relative to the national park, our results instill optimism for the status of the species, although occupancy analysis highlighted the potential vulnerability of this primate to human disturbance. Our approach appears valuable for spatially explicit density estimations of elusive species, and provides robust assessments of vulnerability and identification of priority areas for conservation of threatened populations
Greco_et_al_Ecosphere
Dataset for Greco et al 2023 "Calibrating occupancy to density estimations to assess abundance and vulnerability of a threatened primate in Tanzania". Ecosphere.Â
File 1 has calibration data with site-specific densities and occupancy values; file 2 is the detection/non-detection data of the Sanje mangabey from camera traps across the 2 forests in Tanzania where it is endemic.Â
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