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Do animal size, seasons and vegetation type influence detection probability and density estimates of Serengeti ungulates?
Author(s) -
Bukombe John,
Senzota Ramadhani B.,
Fryxell John M.,
Kittle Andrew,
Kija Hamza,
Hopcraft John Grant C.,
Mduma Simon,
Sinclair Anthony R. E.
Publication year - 2016
Publication title -
african journal of ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.499
H-Index - 54
eISSN - 1365-2028
pISSN - 0141-6707
DOI - 10.1111/aje.12255
Subject(s) - ungulate , wildebeest , transect , vegetation (pathology) , geography , population density , physical geography , ecology , population , national park , biology , habitat , demography , medicine , pathology , sociology
Accurate detection of individual animals and estimation of ungulate population density might be a function of vegetation cover, animal size, observation radius or season. We assessed the effect of these factors on estimates of detection probability and density using five ungulate species in Western Serengeti National Park, Tanzania. Estimates were derived from information collected using ground surveys involving line transects targeting three resident species (impala, topi and buffalo) and two migrants (wildebeest and zebra) and analysed using DISTANCE, MANOVA, t ‐test and Pearson correlation. Results showed that ground surveys that take observation radii of 100 m would appreciably estimate at least 80% of the available ungulates. Beyond 100 m radii, surveys would leave approximately 43% of individuals undetected, the reason being a substantial influence of animal size, vegetation cover and observation radius on the detection. Animal size and observation radius have interactive effects. On their own seasonal differences, they do not have any effect but in interaction with animal size have significant effects especially on the migrant species. As reliable estimates of detection and density are required for making reasonable inferences, we urge that surveys using DISTANCE approach should consider incorporating both ground and aerial survey methods and ensure adequate sample replication.