Population reconstruction as an informative tool for monitoring chamois populations. Issue 4 (7th December 2020)

• Record Type: Journal Article
• Authors: Reiner, Rudolf; Zedrosser, Andreas; Zeiler, Hubert; Hackländer, Klaus; Corlatti, Luca
• Is Part Of: Wildlife biology. Volume 2020:Issue 4(2020)
• Page Start: 1
• Page End: 13
• Publication Date: 2020-12-07
• Subjects: abundance estimation -- chamois -- cohort analysis -- monitoring -- Rupicapra rupicapra -- ungulate; Wildlife conservation; Wildlife management; Animal ecology; 590
• DOI: 10.2981/wlb.00757
• Languages: English
• ISSNs: 0909-6396

Abstract

Abstract : Knowledge of population trends is of key importance for sustainable management of wildlife and finding reliable and cost–effective monitoring methods is therefore of great interest. In two populations of Alpine chamois Rupicapra rupicapra, we collected data on mortality from 12 424 individuals hunted or found dead and population size data based on ground counts over a period of 28 years. Our study had three aims: 1) we investigated if changes in population size obtained with a simple deterministic population reconstruction (DPR) approach using hunting and natural mortality covary with population size estimates obtained from ground count data. 2) We investigated if the performance of DPR is affected by the removal of natural mortality data. 3) We assessed how many years of mortality data are needed to obtain consistent population trends using DPR. Our results suggested that 1) population abundance from mortality data using DPR significantly and positively correlated with population abundance obtained with ground counts. 2) DPR without natural mortality data performed similarly as compared to DPR using full data (hunting and natural mortality). 3) Consistent estimates of population trends can be obtained with ≥10 years of mortality data, however, this time span was influenced by the mean age at death, which in turn was affected by the local hunting regime. Our results suggest that DPR and ground counts perform similarly for the estimation of temporal trends in Alpine chamois abundance. The consistence of ground counts and DPR supports the use of these methods as reliable tools for tracking abundance of chamois populations over time. However, the reliability of abundance estimates using DPR may vary between populations and the influence of different hunting regimes must be considered for the correct interpretation of results.