Reducing Wildlife Damage with Cost-Effective Management Programmes.

Limiting the impact of wildlife damage in a cost effective manner requires an understanding of how control inputs change the occurrence of damage through their effect on animal density. Despite this, there are few studies linking wildlife management (control), with changes in animal abundance and prevailing levels of wildlife damage. We use the impact and management of wild pigs as a case study to demonstrate this linkage.

Bioeconomic modeling in conservation pest management: effect of stoat control on extinction risk of an indigenous New Zealand passerine, Mohua ochrocephala.

Pest control is a key activity undertaken to conserve threatened and declining species. Although bioeconomic analysis has been used to contrast the relative efficiency of control strategies where pests affect economic resources, the same approaches have been adopted rarely in conservation settings. The Mohua (Mohoua ochrocephala) is an insectivorous passerine indigenous to beech (Nothofagus spp.

The numerical response: rate of increase and food limitation in herbivores and predators.

Two types of numerical response function have evolved since Solomon first introduced the term to generalize features of Lotka-Volterra predator-prey models: (i) the demographic numerical response, which links change in consumer demographic rates to food availability; and (ii) the isocline numerical response, which links consumer abundance per se to food availability. These numerical responses are interchangeable because both recognize negative feedback loops between consumer and food abundance resulting in population regulation. We review how demographic and isocline numerical responses have been used to enhance our understanding of population regulation of kangaroos and possums, and argue that their utility may be increased by explicitly accounting for non-equilibrium dynamics (due to environmental variability and/or biological interactions) and the existence of multiple limiting factors.