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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
Latrine survey as a method to estimate the population size of Arabian gazelles (Gazella arabica)
Mammalian Biology, Volume 78, No. 3, Year 2013
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Description
Arabian gazelle (. Gazella arabica) populations have been decimated in most parts of their original range. As a cryptic, crepuscular species, Arabian gazelles are difficult to observe, rendering monitoring programs for conservation purposes a challenging endeavour. Latrine mapping has been suggested as an effective, time- and cost-efficient tool to survey and estimate the abundance of gazelles in remote areas with low population densities. In the present study we collected data from five populations in Saudi Arabia to address the question of how population estimates can be inferred from such latrine counts and uncovered a non-linear relationship between both variables. Methodologies applied during the five surveys differed between study sites, so caution is required when interpreting our data. Still, given the immediate threat to the survival of the species, there is an urgent need to establish a time- and cost-efficient sampling method that will be vital for the conservation of remnant pockets of natural populations and for the proclamation of new protected areas in Saudi Arabia and other countries in the Middle East, and the present data are the only available source of information in this context. © 2012 Deutsche Gesellschaft faturned scriptr SȨugetierkunde.
Authors & Co-Authors
Wronski, Torsten
United Kingdom, London
Zoological Society of London
Saudi Arabia, Taif
National Commission for Wildlife Conservation and Development Saudi Arabia
Islam, M. Zafar ul
Saudi Arabia, Taif
National Wildlife Research Centre
Plath, Martin
Germany, Frankfurt am Main
Goethe-universität Frankfurt am Main
Statistics
Citations: 5
Authors: 3
Affiliations: 4
Identifiers
Doi:
10.1016/j.mambio.2012.07.158
ISSN:
16165047
e-ISSN:
16181476
Research Areas
Environmental
Study Design
Cross Sectional Study
Study Approach
Quantitative