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Wildlife Research Wildlife Research Society
Ecology, management and conservation in natural and modified habitats
RESEARCH ARTICLE

Indexing small mammalian carnivores in the southern Kalahari, South Africa

Niels Blaum A C , Richard M. Engeman B , Bernd Wasiolka A and Eva Rossmanith A
+ Author Affiliations
- Author Affiliations

A University of Potsdam, Department of Plant Ecology and Nature Conservation, Maulbeerallee 2, 14469 Potsdam, Germany.

B National Wildlife Research Center, 4101 LaPorte Avenue, Fort Collins, Colorado 80521-2154, USA.

C Corresponding author. Email: blaum@uni-potsdam.de

Wildlife Research 35(1) 72-79 https://doi.org/10.1071/WR07023
Submitted: 26 February 2007  Accepted: 31 January 2008   Published: 17 March 2008

Abstract

Monitoring animal populations in changing environments is crucial to wildlife conservation and management, but restrictions in resources are a recurring problem for wildlife managers and researchers throughout Africa. Land-use-induced shrub encroachment in Kalahari savannah rangelands has led to fragmentation of the landscape. Mammalian carnivores are particularly vulnerable to local extinction in fragmented landscapes, but their low numbers and their often nocturnal and secretive habits make them difficult to monitor. In this study, we tested the applicability of a passive tracking method and compared two measurement methods and index calculations for monitoring small carnivores across a grazing gradient in the southern Kalahari. During the four years of monitoring in a five-year period, we used the knowledge of indigenous Khoisan Bushmen for the identification of carnivore tracks on 640 sand transects (5 m × 250 m). Our results showed that this simple and inexpensive observation method enabled detailed monitoring of 10 small carnivore species across the grazing gradient. A binary index calculated an index based on presence/absence of a species’ tracks on each transect, whereas the track intrusion index used the number of track intrusions to each transect for each species in its calculations. For less common species, the two indices were similar in trend and magnitude, because the number of intrusions to each transect was typically 1 or 0. Usually, the two indices showed relatively strong correlations. However, species with patchy distributions of higher numbers presented difficulties for the binary index to monitor trends, but not for the track intrusion index.


Acknowledgements

The work of NB, ER and BW was funded by the German Ministry of Education and Research (BMBF) in the framework of BIOTA Southern Africa (01 LC0024A). We gratefully thank the Northern Cape Nature Conservation, South Africa, for research permission in the study area. Two anonymous reviewers provided helpful comments on an earlier draft of the manuscript.


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