Abstract
A mammal species inventory by estimating their richness is the first and necessary task of any mammal monitoring programme. This paper presents estimates of species richness of mammals (mostly medium and large body-sized) in the Central Forest State Nature Reserve (European Russia). Based on data collected in 2023 from 55 camera trap locations (19 676 camera days), 59 035 images of wild mammals were obtained. A total of 18 species were recorded. Of these, ten species were representatives of the Carnivora, four – Artiodactyla, two – Rodentia, one – Erinaceomorpha, and one – Lagomorpha. This amounted to 84% of all potentially camera-trapped mammals observed in the Central Forest State Nature Reserve. The relative abundance index (RAI) and naïve occupancy (ψnaive) were calculated for all species. The most common and frequently recorded were Meles meles (RAI = 4.95; ψnaive = 0.96), followed by Ursus arctos (RAI = 4.39; ψnaive = 1) and Lepus timidus (RAI = 4.08; ψnaive = 1), while the most rarely recorded species were Castor fiber (RAI = 0.01; ψnaive = 0.02), Erinaceus europaeus (RAI = 0.02; ψnaive = 0.04), and Lutra lutra (RAI = 0.03; ψnaive = 0.07). Large and medium-sized carnivorous and omnivorous mammal communities were the fastest and most completely captured. According to the constructed single-season multispecies occupancy model with Markov chains Monte Carlo, camera traps failed to record 4–5 more possible species. These species are likely to be Mustela lutreola, M. erminea, and Mustela nivalis, as well as two invasive species, Cervus nippon and Capreolus pygargus. All the captured species were recorded in total in a short period of time, namely from the end of March to the beginning of May during 1869 camera-days. Two of them (Castor fiber and Erinaceus europaeus) were recorded exclusively at this time, and they were not captured further until the end of the year. This emphasises the importance of conducting mammal inventory, with inclusion of the spring season.
Publisher
Fund for Support and Development of Protected Areas