2009
DOI: 10.1017/s0030605309991025
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Use of black rhino range estimates for conservation decisions: a response to Linklater et al.

Abstract: References E M S L I E , R.H. (1999) The feeding ecology of the black rhinoceros (Diceros bicornis minor) in Hluhluwe-Umfolozi Park, with special reference to the probably causes of the Hluhluwe population crash.

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Cited by 2 publications
(9 citation statements)
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“…Although, as predicted, our range size estimates were smaller than those reported previously [ 8 , 47 ], we expected their use of small amounts of location data spread across multiple years [ 3 , 25 ], to result in a much larger home range inflation. It may be that we have underestimated the degree of home range inflation because our bivariate KUD home range estimates are also somewhat inflated by spatial error from our triangulations which contribute to about 50% of our animal locations.…”
Section: Discussionmentioning
confidence: 43%
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“…Although, as predicted, our range size estimates were smaller than those reported previously [ 8 , 47 ], we expected their use of small amounts of location data spread across multiple years [ 3 , 25 ], to result in a much larger home range inflation. It may be that we have underestimated the degree of home range inflation because our bivariate KUD home range estimates are also somewhat inflated by spatial error from our triangulations which contribute to about 50% of our animal locations.…”
Section: Discussionmentioning
confidence: 43%
“…It is more likely, therefore, that the numbers of locations Reid et al [ 8 ] used are so small (as few as 10) that they under-estimated multi-year range sizes but, nevertheless, approximated rhinos’ smaller annual home range sizes. Indeed, when Slotow et al [ 47 ] re-analysed the same 11-year data set as Reid et al [ 8 ] using rhino (n = 19) that had a sufficient number of locations (i.e., ≥ 50), average range sizes became 68% larger than our estimate (i.e., 20.4 km 2 cf. 34.3 km 2 ).…”
Section: Discussionmentioning
confidence: 54%
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