title: Trophic scaling and occupancy analysis reveals a lion population limited by top-down anthropogenic pressure in the Limpopo National Park, Mozambique.
abstract: The African lion (Panthera Leo) has suffered drastic population and range declines over the last few decades and is listed by the IUCN as vulnerable to extinction. Conservation management requires reliable population estimates, however these data are lacking for many of the continent's remaining populations. It is possible to estimate lion abundance using a trophic scaling approach. However, such inferences assume that a predator population is subject only to bottom-up regulation, and are thus likely to produce biased estimates in systems experiencing top-down anthropogenic pressures. Here we provide baseline data on the status of lions in a developing National Park in Mozambique that is impacted by humans and livestock. We compare a direct density estimate with an estimate derived from trophic scaling. We then use replicated detection/non-detection surveys to estimate the proportion of area occupied by lions, and hierarchical ranking of covariates to provide inferences on the relative contribution of prey resources and anthropogenic factors influencing lion occurrence. The direct density estimate was less than 1/3 of the estimate derived from prey resources (0.99 lions/100 km² vs. 3.05 lions/100 km²). The proportion of area occupied by lions was Ψ = 0.439 (SE = 0.121), or approximately 44% of a 2,400 km2 sample of potential habitat. Although lions were strongly predicted by a greater probability of encountering prey resources, the greatest contributing factor to lion occurrence was a strong negative association with settlements. Finally, our empirical abundance estimate is approximately 1/3 of a published abundance estimate derived from opinion surveys. Altogether, our results describe a lion population held below resource-based carrying capacity by anthropogenic factors and highlight the limitations of trophic scaling and opinion surveys for estimating predator populations exposed to anthropogenic pressures. Our study provides the first empirical quantification of a population that future change can be measured against.
authors.affiliation: Centre for Wildlife Management, University of Pretoria, Pretoria, South Africa.
authors.forename: Kristoffer T
authors.initials: KT
authors.lastname: Everatt
authors.affiliation: Centre for Wildlife Management, University of Pretoria, Pretoria, South Africa.
authors.forename: Leah
authors.initials: L
authors.lastname: Andresen
authors.affiliation: Centre for Wildlife Management, University of Pretoria, Pretoria, South Africa; Centre for Invasion Biology, University of Pretoria, Pretoria, South Africa.
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Somers
mesh_terms: D000818:Animals; D002020:Buffaloes; D017753:Ecosystem; D005843:Geography; D006802:Human Activities; D006801:Humans; D008045:Lions / Q000254:growth & development*; D008962:Models, Theoretical; D009073:Mozambique; D011157:Population Dynamics